COMITMENT: A Fog Computing Trust Management Approach

Mohammed Al-khafajiy; Thar Baker; Muhammad Asim; Zehua Guo; Rajiv Ranjan; Antonella Longo; Deepak Puthal; Mark Taylor

doi:10.1016/j.jpdc.2019.10.006

COMITMENT: A Fog Computing Trust Management Approach

Mohammed Al-khafajiy, Thar Baker, Muhammad Asim, Zehua Guo, Rajiv Ranjan, Antonella Longo, Deepak Puthal, Mark Taylor

School of Arch, Tech and Eng

Research output: Contribution to journal › Article › peer-review

Abstract

As an extension of cloud computing, fog computing is considered to be relatively more secure than cloud computing due to data being transiently maintained and analyzed on local fog nodes closer to data sources. However, there exist several security and privacy concerns when fog nodes collaborate and share data to execute certain tasks. For example, offloading data to a malicious fog node can result into an unauthorized collection or manipulation of users’ private data. Cryptographic-based techniques can prevent external attacks, but are not useful when fog nodes are already authenticated and part of a networks using legitimate identities. We therefore resort to trust to identify and isolate malicious fog nodes and mitigate security, respectively. In this paper, we present a fog COMputIng Trust manageMENT (COMITMENT) approach that uses quality of service and quality of protection history measures from previous direct and indirect fog node interactions for assessing and managing the trust level of the nodes within the fog computing environment. Using COMITMENT approach, we were able to reduce/identify the malicious attacks/interactions among fog nodes by approximately 66%, while reducing the service response time by approximately 15 s.

Original language	English
Pages (from-to)	1-16
Number of pages	16
Journal	Journal of Parallel and Distributed Computing
Volume	137
DOIs	https://doi.org/10.1016/j.jpdc.2019.10.006
Publication status	Published - 8 Nov 2019

Bibliographical note

Funding Information:
This research is partially funded by Engineering and Physical Sciences Research Council, United Kingdom (EPSRC – EP/R033293/1 ) titled “PACE: Privacy-Aware Cloud Ecosystems”. Also, the work is supported by the National Natural Science Foundation of China under Grant 61836001 , the National Key Research and Development Program of China under Grant 2018YFB1003700 , and the Beijing Institute of Technology Research Fund Program for Young Scholars, China . Mohammed Al-Khafajiy is a Ph.D. student in the Department of Computer Science at Liverpool John Moores University (LJMU), UK. He has also been working as a Programmer and .Net Developer at Pixus.UK since 2017. Mr Al-khafajiy has published many international peer reviewed papers in IoT, Cloud and Fog domains. Thar Baker is a Reader (Associate Professor) in Cloud Engineering and Head of Applied Computing Research Group (ACRG) in the Faculty of Engineering and Technology at Liverpool John Moores University (LJMU, UK). He received his Ph.D. in Autonomic Cloud Applications from LJMU in 2010, and became a Senior Fellow of Higher Education Academy (SFHEA) in 2018. Dr Baker has published numerous refereed research papers in multidisciplinary research areas including: Big Data, Algorithm Design, Green and Sustainable Computing, and Energy Routing Protocols. Dr Baker has been actively involved as member of editorial board and review committee for a number peer reviewed international journals, and is on program committee for a number of international conferences. For example, he is Associate Editor of Future Generation Computer System. Dr. Baker is Expert Evaluator of EU H2020, ICTFund, and British Council. Dr. Muhammad Asim is an Associate Professor at the Department of Computer Science, National University of Computer and Emerging Sciences, Pakistan. Having attained a Ph.D. from Liverpool John Moores University, he researches in the fields of Cloud Computing, Computer Networks, Network Security, Internet of Things and Wireless Sensor Networks. Zehua Guo received the B.S. degree from Northwestern Polytechnical University, the M.S. degree from Xidian University, and the Ph.D. degree from Northwestern Polytechnical University. He was a Research Fellow of the Department of Electrical and Computer Engineering, New York University Tandon School of Engineering, New York City, NY, USA, and a Post-Doctoral Research Associate at the Department of Computer Science and Engineering, University of Minnesota Twin Cities, Minneapolis, MN, USA. His research interests include software-defined networking, network function virtualization, data center networks, cloud computing, content delivery networks, network security, green networks, machine learning, and Internet exchange. He was the Session Chair of the IEEE International Conference on Communications 2018. He serves as an Associate Editor for the IEEE ACCESS and the EURASIP Journal on Wireless Communications and Networking (Springer), an Editor of the KSII Transactions on Internet and Information Systems, and the Technical Program Committee of the Computer Communications (Elsevier). Rajiv Ranjan is a Chair Professor for the Internet of Things research in the School of Computing of Newcastle University, United Kingdom. Before moving to Newcastle University, he was Julius Fellow (2013–2015), Senior Research Scientist and Project Leader in the Digital Productivity and Services Flagship of Commonwealth Scientific and Industrial Research Organization (CSIRO — Australian Governments Premier Research Agency). Prior to that he was a Senior Research Associate (Lecturer level B) in the School of Computer Science and Engineering, University of New South Wales (UNSW). He has a Ph.D. (2009) from the department of Computer Science and Software Engineering, the University of Melbourne. He is an internationally established scientist with 260+ scientific publications. He has secured more than is a Chair Professor for the Internet of Things research in the School of Computing of Newcastle University, United Kingdom. Before moving to Newcastle University, he was Julius Fellow (2013–2015), Senior Research Scientist and Project Leader in the Digital Productivity and Services Flagship of Commonwealth Scientific and Industrial Research Organization (CSIRO — Australian Governments Premier Research Agency). Prior to that he was a Senior Research Associate (Lecturer level B) in the School of Computer Science and Engineering, University of New South Wales (UNSW). He has a Ph.D. (2009) from the department of Computer Science and Software Engineering, the University of Melbourne. He is an internationally established scientist with 260+ scientific publications. He has secured more than $12 Million AUD (£6 Million+ GBP) in the form of competitive research grants from both public and private agencies. He is an innovator with strong and sustained academic and industrial impact and a globally recognized R&D leader with the proven track record. He serves on the editorial boards of top quality international journals including IEEE Transactions on Computers (2014-2016), IEEE Transactions on Cloud Computing, ACM Transactions on the Internet of Things, The Computer (Oxford University), The Computing (Springer) and Future Generation Computer Systems.2 Million AUD (£6 Million+ GBP) in the form of competitive research grants from both public and private agencies. He is an innovator with strong and sustained academic and industrial impact and a globally recognized R&D leader with the proven track record. He serves on the editorial boards of top quality international journals including IEEE Transactions on Computers (2014-2016), IEEE Transactions on Cloud Computing, ACM Transactions on the Internet of Things, The Computer (Oxford University), The Computing (Springer) and Future Generation Computer Systems. Antonella Longo , assistant professor at the Department of Engineering for Innovation of the University of Salento, received the Ph.D. in Information Engineering in 2004. She teaches Data Management and Big data management for decision making at Management Engineering and Business school master courses. Her research interests deal with information systems and databases, service-oriented architectures design for cloud infrastructure, technology-enhanced learning and citizen science. Her current research activity focuses on big data management and exploration of cloud architecture integration with edge computing in cyber–physical social systems. On these topics, she has published more than 100 papers in peer-reviewed journals and international conference proceedings. She carries out her research activity at the SyDA — Lab (Systems, Data and Applications Lab) at University of Salento, where she coordinates the research activities about service modeling and computing and the applications in smart cities. Deepak Puthal is a Lecturer (Assistant Professor) at the School of Computing, Newcastle University, United Kingdom. Prior to this position, he was a Lecturer at University of Technology Sydney (UTS), Australia and an associate researcher at Commonwealth Scientific and Industrial Research Organization (CSIRO Data61), Australia. He has a Ph.D. (2017) from the Faculty of Engineering and Information Technology, University of Technology Sydney. His research spans several areas in Cyber Security, Blockchain, Internet of Things and Edge/Fog Computing. He serves on the editorial boards of top quality international journals including IEEE Transactions on Big Data, IEEE Consumer Electronics Magazine, Computers & Electrical Engineering (Elsevier), International Journal of Communication Systems (John Wiley & Sons), and Internet Technology Letters (John Wiley & Sons). He has received several recognitions and best paper awards from IEEE. Mark Taylor graduated from the University of Warwick in 1984 with a degree in Mathematics. He worked as a Computer Systems Designer for the TI Group (now part of the Smiths Group) for three years. He then worked for 5 years as a Senior Analyst Programmer at Royal Insurance UK (now Royal Sun Alliance) before joining Liverpool John Moores University in 1992 as a Senior Lecturer in Information Systems. He completed a Ph.D. at Salford University in 1999 in Methodologies and Software Maintenance. Mark has produced over 100 publications including journal papers, conference papers, papers in books, and professional publications in the computing field. During his time at LJMU he has initiated seven Knowledge Transfer Projects funded by the UK Technology Strategy Board and the UK Department of Trade and Industry, and has received research funding from the UK Department of Communities and Local Government, Merseyside Fire and Rescue Service, Liverpool Heart and Chest Hospital, and The Mersey Sports Partnership. Mark is a Chartered IT Professional, a Chartered Engineer, a Chartered Scientist, a Fellow of the British Computer Society, a Fellow of the Higher Education Academy, and an examiner for the British Computer Society.

Funding Information:
This research is partially funded by Engineering and Physical Sciences Research Council, United Kingdom (EPSRC ? EP/R033293/1) titled ?PACE: Privacy-Aware Cloud Ecosystems?. Also, the work is supported by the National Natural Science Foundation of China under Grant 61836001, the National Key Research and Development Program of China under Grant 2018YFB1003700, and the Beijing Institute of Technology Research Fund Program for Young Scholars, China.

Publisher Copyright:
© 2019 Elsevier Inc.

Keywords

Fog computing
Quality of protection
Trust

Access to Document

10.1016/j.jpdc.2019.10.006

Cite this

@article{61158e8a2d75489885998dc19e9111c6,

title = "COMITMENT: A Fog Computing Trust Management Approach",

abstract = "As an extension of cloud computing, fog computing is considered to be relatively more secure than cloud computing due to data being transiently maintained and analyzed on local fog nodes closer to data sources. However, there exist several security and privacy concerns when fog nodes collaborate and share data to execute certain tasks. For example, offloading data to a malicious fog node can result into an unauthorized collection or manipulation of users{\textquoteright} private data. Cryptographic-based techniques can prevent external attacks, but are not useful when fog nodes are already authenticated and part of a networks using legitimate identities. We therefore resort to trust to identify and isolate malicious fog nodes and mitigate security, respectively. In this paper, we present a fog COMputIng Trust manageMENT (COMITMENT) approach that uses quality of service and quality of protection history measures from previous direct and indirect fog node interactions for assessing and managing the trust level of the nodes within the fog computing environment. Using COMITMENT approach, we were able to reduce/identify the malicious attacks/interactions among fog nodes by approximately 66%, while reducing the service response time by approximately 15 s.",

keywords = "Fog computing, Quality of protection, Trust",

author = "Mohammed Al-khafajiy and Thar Baker and Muhammad Asim and Zehua Guo and Rajiv Ranjan and Antonella Longo and Deepak Puthal and Mark Taylor",

note = "Funding Information: This research is partially funded by Engineering and Physical Sciences Research Council, United Kingdom (EPSRC – EP/R033293/1 ) titled “PACE: Privacy-Aware Cloud Ecosystems”. Also, the work is supported by the National Natural Science Foundation of China under Grant 61836001 , the National Key Research and Development Program of China under Grant 2018YFB1003700 , and the Beijing Institute of Technology Research Fund Program for Young Scholars, China . Mohammed Al-Khafajiy is a Ph.D. student in the Department of Computer Science at Liverpool John Moores University (LJMU), UK. He has also been working as a Programmer and .Net Developer at Pixus.UK since 2017. Mr Al-khafajiy has published many international peer reviewed papers in IoT, Cloud and Fog domains. Thar Baker is a Reader (Associate Professor) in Cloud Engineering and Head of Applied Computing Research Group (ACRG) in the Faculty of Engineering and Technology at Liverpool John Moores University (LJMU, UK). He received his Ph.D. in Autonomic Cloud Applications from LJMU in 2010, and became a Senior Fellow of Higher Education Academy (SFHEA) in 2018. Dr Baker has published numerous refereed research papers in multidisciplinary research areas including: Big Data, Algorithm Design, Green and Sustainable Computing, and Energy Routing Protocols. Dr Baker has been actively involved as member of editorial board and review committee for a number peer reviewed international journals, and is on program committee for a number of international conferences. For example, he is Associate Editor of Future Generation Computer System. Dr. Baker is Expert Evaluator of EU H2020, ICTFund, and British Council. Dr. Muhammad Asim is an Associate Professor at the Department of Computer Science, National University of Computer and Emerging Sciences, Pakistan. Having attained a Ph.D. from Liverpool John Moores University, he researches in the fields of Cloud Computing, Computer Networks, Network Security, Internet of Things and Wireless Sensor Networks. Zehua Guo received the B.S. degree from Northwestern Polytechnical University, the M.S. degree from Xidian University, and the Ph.D. degree from Northwestern Polytechnical University. He was a Research Fellow of the Department of Electrical and Computer Engineering, New York University Tandon School of Engineering, New York City, NY, USA, and a Post-Doctoral Research Associate at the Department of Computer Science and Engineering, University of Minnesota Twin Cities, Minneapolis, MN, USA. His research interests include software-defined networking, network function virtualization, data center networks, cloud computing, content delivery networks, network security, green networks, machine learning, and Internet exchange. He was the Session Chair of the IEEE International Conference on Communications 2018. He serves as an Associate Editor for the IEEE ACCESS and the EURASIP Journal on Wireless Communications and Networking (Springer), an Editor of the KSII Transactions on Internet and Information Systems, and the Technical Program Committee of the Computer Communications (Elsevier). Rajiv Ranjan is a Chair Professor for the Internet of Things research in the School of Computing of Newcastle University, United Kingdom. Before moving to Newcastle University, he was Julius Fellow (2013–2015), Senior Research Scientist and Project Leader in the Digital Productivity and Services Flagship of Commonwealth Scientific and Industrial Research Organization (CSIRO — Australian Governments Premier Research Agency). Prior to that he was a Senior Research Associate (Lecturer level B) in the School of Computer Science and Engineering, University of New South Wales (UNSW). He has a Ph.D. (2009) from the department of Computer Science and Software Engineering, the University of Melbourne. He is an internationally established scientist with 260+ scientific publications. He has secured more than is a Chair Professor for the Internet of Things research in the School of Computing of Newcastle University, United Kingdom. Before moving to Newcastle University, he was Julius Fellow (2013–2015), Senior Research Scientist and Project Leader in the Digital Productivity and Services Flagship of Commonwealth Scientific and Industrial Research Organization (CSIRO — Australian Governments Premier Research Agency). Prior to that he was a Senior Research Associate (Lecturer level B) in the School of Computer Science and Engineering, University of New South Wales (UNSW). He has a Ph.D. (2009) from the department of Computer Science and Software Engineering, the University of Melbourne. He is an internationally established scientist with 260+ scientific publications. He has secured more than $12 Million AUD (£6 Million+ GBP) in the form of competitive research grants from both public and private agencies. He is an innovator with strong and sustained academic and industrial impact and a globally recognized R&D leader with the proven track record. He serves on the editorial boards of top quality international journals including IEEE Transactions on Computers (2014-2016), IEEE Transactions on Cloud Computing, ACM Transactions on the Internet of Things, The Computer (Oxford University), The Computing (Springer) and Future Generation Computer Systems.2 Million AUD (£6 Million+ GBP) in the form of competitive research grants from both public and private agencies. He is an innovator with strong and sustained academic and industrial impact and a globally recognized R&D leader with the proven track record. He serves on the editorial boards of top quality international journals including IEEE Transactions on Computers (2014-2016), IEEE Transactions on Cloud Computing, ACM Transactions on the Internet of Things, The Computer (Oxford University), The Computing (Springer) and Future Generation Computer Systems. Antonella Longo , assistant professor at the Department of Engineering for Innovation of the University of Salento, received the Ph.D. in Information Engineering in 2004. She teaches Data Management and Big data management for decision making at Management Engineering and Business school master courses. Her research interests deal with information systems and databases, service-oriented architectures design for cloud infrastructure, technology-enhanced learning and citizen science. Her current research activity focuses on big data management and exploration of cloud architecture integration with edge computing in cyber–physical social systems. On these topics, she has published more than 100 papers in peer-reviewed journals and international conference proceedings. She carries out her research activity at the SyDA — Lab (Systems, Data and Applications Lab) at University of Salento, where she coordinates the research activities about service modeling and computing and the applications in smart cities. Deepak Puthal is a Lecturer (Assistant Professor) at the School of Computing, Newcastle University, United Kingdom. Prior to this position, he was a Lecturer at University of Technology Sydney (UTS), Australia and an associate researcher at Commonwealth Scientific and Industrial Research Organization (CSIRO Data61), Australia. He has a Ph.D. (2017) from the Faculty of Engineering and Information Technology, University of Technology Sydney. His research spans several areas in Cyber Security, Blockchain, Internet of Things and Edge/Fog Computing. He serves on the editorial boards of top quality international journals including IEEE Transactions on Big Data, IEEE Consumer Electronics Magazine, Computers & Electrical Engineering (Elsevier), International Journal of Communication Systems (John Wiley & Sons), and Internet Technology Letters (John Wiley & Sons). He has received several recognitions and best paper awards from IEEE. Mark Taylor graduated from the University of Warwick in 1984 with a degree in Mathematics. He worked as a Computer Systems Designer for the TI Group (now part of the Smiths Group) for three years. He then worked for 5 years as a Senior Analyst Programmer at Royal Insurance UK (now Royal Sun Alliance) before joining Liverpool John Moores University in 1992 as a Senior Lecturer in Information Systems. He completed a Ph.D. at Salford University in 1999 in Methodologies and Software Maintenance. Mark has produced over 100 publications including journal papers, conference papers, papers in books, and professional publications in the computing field. During his time at LJMU he has initiated seven Knowledge Transfer Projects funded by the UK Technology Strategy Board and the UK Department of Trade and Industry, and has received research funding from the UK Department of Communities and Local Government, Merseyside Fire and Rescue Service, Liverpool Heart and Chest Hospital, and The Mersey Sports Partnership. Mark is a Chartered IT Professional, a Chartered Engineer, a Chartered Scientist, a Fellow of the British Computer Society, a Fellow of the Higher Education Academy, and an examiner for the British Computer Society. Funding Information: This research is partially funded by Engineering and Physical Sciences Research Council, United Kingdom (EPSRC ? EP/R033293/1) titled ?PACE: Privacy-Aware Cloud Ecosystems?. Also, the work is supported by the National Natural Science Foundation of China under Grant 61836001, the National Key Research and Development Program of China under Grant 2018YFB1003700, and the Beijing Institute of Technology Research Fund Program for Young Scholars, China. Publisher Copyright: {\textcopyright} 2019 Elsevier Inc.",

year = "2019",

month = nov,

day = "8",

doi = "10.1016/j.jpdc.2019.10.006",

language = "English",

volume = "137",

pages = "1--16",

journal = "Journal of Parallel and Distributed Computing",

issn = "0743-7315",

publisher = "Elsevier",

}

TY - JOUR

T1 - COMITMENT

T2 - A Fog Computing Trust Management Approach

AU - Al-khafajiy, Mohammed

AU - Baker, Thar

AU - Asim, Muhammad

AU - Guo, Zehua

AU - Ranjan, Rajiv

AU - Longo, Antonella

AU - Puthal, Deepak

AU - Taylor, Mark

N1 - Funding Information: This research is partially funded by Engineering and Physical Sciences Research Council, United Kingdom (EPSRC – EP/R033293/1 ) titled “PACE: Privacy-Aware Cloud Ecosystems”. Also, the work is supported by the National Natural Science Foundation of China under Grant 61836001 , the National Key Research and Development Program of China under Grant 2018YFB1003700 , and the Beijing Institute of Technology Research Fund Program for Young Scholars, China . Mohammed Al-Khafajiy is a Ph.D. student in the Department of Computer Science at Liverpool John Moores University (LJMU), UK. He has also been working as a Programmer and .Net Developer at Pixus.UK since 2017. Mr Al-khafajiy has published many international peer reviewed papers in IoT, Cloud and Fog domains. Thar Baker is a Reader (Associate Professor) in Cloud Engineering and Head of Applied Computing Research Group (ACRG) in the Faculty of Engineering and Technology at Liverpool John Moores University (LJMU, UK). He received his Ph.D. in Autonomic Cloud Applications from LJMU in 2010, and became a Senior Fellow of Higher Education Academy (SFHEA) in 2018. Dr Baker has published numerous refereed research papers in multidisciplinary research areas including: Big Data, Algorithm Design, Green and Sustainable Computing, and Energy Routing Protocols. Dr Baker has been actively involved as member of editorial board and review committee for a number peer reviewed international journals, and is on program committee for a number of international conferences. For example, he is Associate Editor of Future Generation Computer System. Dr. Baker is Expert Evaluator of EU H2020, ICTFund, and British Council. Dr. Muhammad Asim is an Associate Professor at the Department of Computer Science, National University of Computer and Emerging Sciences, Pakistan. Having attained a Ph.D. from Liverpool John Moores University, he researches in the fields of Cloud Computing, Computer Networks, Network Security, Internet of Things and Wireless Sensor Networks. Zehua Guo received the B.S. degree from Northwestern Polytechnical University, the M.S. degree from Xidian University, and the Ph.D. degree from Northwestern Polytechnical University. He was a Research Fellow of the Department of Electrical and Computer Engineering, New York University Tandon School of Engineering, New York City, NY, USA, and a Post-Doctoral Research Associate at the Department of Computer Science and Engineering, University of Minnesota Twin Cities, Minneapolis, MN, USA. His research interests include software-defined networking, network function virtualization, data center networks, cloud computing, content delivery networks, network security, green networks, machine learning, and Internet exchange. He was the Session Chair of the IEEE International Conference on Communications 2018. He serves as an Associate Editor for the IEEE ACCESS and the EURASIP Journal on Wireless Communications and Networking (Springer), an Editor of the KSII Transactions on Internet and Information Systems, and the Technical Program Committee of the Computer Communications (Elsevier). Rajiv Ranjan is a Chair Professor for the Internet of Things research in the School of Computing of Newcastle University, United Kingdom. Before moving to Newcastle University, he was Julius Fellow (2013–2015), Senior Research Scientist and Project Leader in the Digital Productivity and Services Flagship of Commonwealth Scientific and Industrial Research Organization (CSIRO — Australian Governments Premier Research Agency). Prior to that he was a Senior Research Associate (Lecturer level B) in the School of Computer Science and Engineering, University of New South Wales (UNSW). He has a Ph.D. (2009) from the department of Computer Science and Software Engineering, the University of Melbourne. He is an internationally established scientist with 260+ scientific publications. He has secured more than is a Chair Professor for the Internet of Things research in the School of Computing of Newcastle University, United Kingdom. Before moving to Newcastle University, he was Julius Fellow (2013–2015), Senior Research Scientist and Project Leader in the Digital Productivity and Services Flagship of Commonwealth Scientific and Industrial Research Organization (CSIRO — Australian Governments Premier Research Agency). Prior to that he was a Senior Research Associate (Lecturer level B) in the School of Computer Science and Engineering, University of New South Wales (UNSW). He has a Ph.D. (2009) from the department of Computer Science and Software Engineering, the University of Melbourne. He is an internationally established scientist with 260+ scientific publications. He has secured more than $12 Million AUD (£6 Million+ GBP) in the form of competitive research grants from both public and private agencies. He is an innovator with strong and sustained academic and industrial impact and a globally recognized R&D leader with the proven track record. He serves on the editorial boards of top quality international journals including IEEE Transactions on Computers (2014-2016), IEEE Transactions on Cloud Computing, ACM Transactions on the Internet of Things, The Computer (Oxford University), The Computing (Springer) and Future Generation Computer Systems.2 Million AUD (£6 Million+ GBP) in the form of competitive research grants from both public and private agencies. He is an innovator with strong and sustained academic and industrial impact and a globally recognized R&D leader with the proven track record. He serves on the editorial boards of top quality international journals including IEEE Transactions on Computers (2014-2016), IEEE Transactions on Cloud Computing, ACM Transactions on the Internet of Things, The Computer (Oxford University), The Computing (Springer) and Future Generation Computer Systems. Antonella Longo , assistant professor at the Department of Engineering for Innovation of the University of Salento, received the Ph.D. in Information Engineering in 2004. She teaches Data Management and Big data management for decision making at Management Engineering and Business school master courses. Her research interests deal with information systems and databases, service-oriented architectures design for cloud infrastructure, technology-enhanced learning and citizen science. Her current research activity focuses on big data management and exploration of cloud architecture integration with edge computing in cyber–physical social systems. On these topics, she has published more than 100 papers in peer-reviewed journals and international conference proceedings. She carries out her research activity at the SyDA — Lab (Systems, Data and Applications Lab) at University of Salento, where she coordinates the research activities about service modeling and computing and the applications in smart cities. Deepak Puthal is a Lecturer (Assistant Professor) at the School of Computing, Newcastle University, United Kingdom. Prior to this position, he was a Lecturer at University of Technology Sydney (UTS), Australia and an associate researcher at Commonwealth Scientific and Industrial Research Organization (CSIRO Data61), Australia. He has a Ph.D. (2017) from the Faculty of Engineering and Information Technology, University of Technology Sydney. His research spans several areas in Cyber Security, Blockchain, Internet of Things and Edge/Fog Computing. He serves on the editorial boards of top quality international journals including IEEE Transactions on Big Data, IEEE Consumer Electronics Magazine, Computers & Electrical Engineering (Elsevier), International Journal of Communication Systems (John Wiley & Sons), and Internet Technology Letters (John Wiley & Sons). He has received several recognitions and best paper awards from IEEE. Mark Taylor graduated from the University of Warwick in 1984 with a degree in Mathematics. He worked as a Computer Systems Designer for the TI Group (now part of the Smiths Group) for three years. He then worked for 5 years as a Senior Analyst Programmer at Royal Insurance UK (now Royal Sun Alliance) before joining Liverpool John Moores University in 1992 as a Senior Lecturer in Information Systems. He completed a Ph.D. at Salford University in 1999 in Methodologies and Software Maintenance. Mark has produced over 100 publications including journal papers, conference papers, papers in books, and professional publications in the computing field. During his time at LJMU he has initiated seven Knowledge Transfer Projects funded by the UK Technology Strategy Board and the UK Department of Trade and Industry, and has received research funding from the UK Department of Communities and Local Government, Merseyside Fire and Rescue Service, Liverpool Heart and Chest Hospital, and The Mersey Sports Partnership. Mark is a Chartered IT Professional, a Chartered Engineer, a Chartered Scientist, a Fellow of the British Computer Society, a Fellow of the Higher Education Academy, and an examiner for the British Computer Society. Funding Information: This research is partially funded by Engineering and Physical Sciences Research Council, United Kingdom (EPSRC ? EP/R033293/1) titled ?PACE: Privacy-Aware Cloud Ecosystems?. Also, the work is supported by the National Natural Science Foundation of China under Grant 61836001, the National Key Research and Development Program of China under Grant 2018YFB1003700, and the Beijing Institute of Technology Research Fund Program for Young Scholars, China. Publisher Copyright: © 2019 Elsevier Inc.

PY - 2019/11/8

Y1 - 2019/11/8

N2 - As an extension of cloud computing, fog computing is considered to be relatively more secure than cloud computing due to data being transiently maintained and analyzed on local fog nodes closer to data sources. However, there exist several security and privacy concerns when fog nodes collaborate and share data to execute certain tasks. For example, offloading data to a malicious fog node can result into an unauthorized collection or manipulation of users’ private data. Cryptographic-based techniques can prevent external attacks, but are not useful when fog nodes are already authenticated and part of a networks using legitimate identities. We therefore resort to trust to identify and isolate malicious fog nodes and mitigate security, respectively. In this paper, we present a fog COMputIng Trust manageMENT (COMITMENT) approach that uses quality of service and quality of protection history measures from previous direct and indirect fog node interactions for assessing and managing the trust level of the nodes within the fog computing environment. Using COMITMENT approach, we were able to reduce/identify the malicious attacks/interactions among fog nodes by approximately 66%, while reducing the service response time by approximately 15 s.

AB - As an extension of cloud computing, fog computing is considered to be relatively more secure than cloud computing due to data being transiently maintained and analyzed on local fog nodes closer to data sources. However, there exist several security and privacy concerns when fog nodes collaborate and share data to execute certain tasks. For example, offloading data to a malicious fog node can result into an unauthorized collection or manipulation of users’ private data. Cryptographic-based techniques can prevent external attacks, but are not useful when fog nodes are already authenticated and part of a networks using legitimate identities. We therefore resort to trust to identify and isolate malicious fog nodes and mitigate security, respectively. In this paper, we present a fog COMputIng Trust manageMENT (COMITMENT) approach that uses quality of service and quality of protection history measures from previous direct and indirect fog node interactions for assessing and managing the trust level of the nodes within the fog computing environment. Using COMITMENT approach, we were able to reduce/identify the malicious attacks/interactions among fog nodes by approximately 66%, while reducing the service response time by approximately 15 s.

KW - Fog computing

KW - Quality of protection

KW - Trust

UR - http://www.scopus.com/inward/record.url?scp=85074826255&partnerID=8YFLogxK

U2 - 10.1016/j.jpdc.2019.10.006

DO - 10.1016/j.jpdc.2019.10.006

M3 - Article

AN - SCOPUS:85074826255

SN - 0743-7315

VL - 137

SP - 1

EP - 16

JO - Journal of Parallel and Distributed Computing

JF - Journal of Parallel and Distributed Computing

ER -

COMITMENT: A Fog Computing Trust Management Approach

Abstract

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this