Nikolaos Polatidis

Research output

Research output per year 2012 2019 2023 2025

• 30 Article
• 27 Conference contribution with ISSN or ISBN
• 2 Paper

Research output per year

Research output per year

Search results

• 2025

  Enhancing LLM code generation using natural language processing in the contexts of machine learning

  Nelson, J., Pavlidis, M., Fish, A. & Polatidis, N., 16 Mar 2025, Database Engineered Applications - 28th International Symposium, IDEAS 2024, Proceedings: 28th International Symposium, IDEAS 2024, Bayonne, France, August 26–29, 2024, Proceedings. Chbeir, R., Ilarri, S., Manolopoulos, Y., Revesz, P. Z., Bernardino, J. & Leung, C. K. (eds.). 1 ed. Springer, p. 92-105 14 p. (Lecture Notes in Computer Science; vol. 15511 LNCS).

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

  Open Access

  • Natural Language Processing 100%
  • Machine Learning 100%
  • Code Generation 100%
  • Model Code 100%
  • Large Language Models 100%

• Leveraging Ethical Narratives to Enhance LLM‐AutoML Generated Machine Learning Models

  Nelson, J., Pavlidis, M., Fish, A., Polatidis, N. & Manolopoulos, Y., 21 May 2025, In: Expert Systems. 42, 7, 16 p., e70072.

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

  Open Access

  File

  • Ethical Narrative 100%
  • Filtering Mechanism 25%
  • Intellectual Property Law 25%
  • Trustworthy Machine Learning 25%
  • Model Generation 25%
• 2024

  ChatGPT-Driven Machine Learning Code Generation for Android Malware Detection

  Nelson, J., Pavlidis, M., Fish, A., Kapetanakis, S. & Polatidis, N., 8 Nov 2024, In: The Computer Journal. 68, 4, p. 331-345 15 p., bxae114.

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

  • Code Generation 100%
  • Malware Detection 100%
  • Android Malware 100%
  • ChatGPT 100%
  • Machine Learning 100%

• Detecting Android Malware with Convolutional Neural Networks and Hilbert Space-Filling Curves

  Mbungang, B. N., Wacka, J. B. A., Tchakounte, F., Polatidis, N., Nlong II, J. M. & Tieudjo, D., 22 Aug 2024, In: SN Computer Science. 5, 810.

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

  • Convolutional Neural Network 100%
  • Android Malware 100%
  • Network Space 100%
  • Hilbert Space-filling Curve 100%
  • Deep Learning 66%

• Evaluating LLMs for Code Generation in HRI: A Comparative Study of ChatGPT, Gemini, and Claude

  Sobo, A., Mubarak, A., Baimagambetov, A. & Polatidis, N., 19 Dec 2024, In: Applied artificial intelligence. 39, 1, 22 p., 2439610.

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

  Open Access

  File

  • Code Generation 100%
  • Gemini 100%
  • Human-robot Interaction 100%
  • Chat Generative Pre-trained Transformer (ChatGPT) 100%
  • Large Language Models 100%

• FSSDroid: Feature Subset Selection for Android Malware Detection

  Polatidis, N., Kapetanakis, S., Trovati, M., Korkontzelos, I. & Manolopoulos, Y., 16 Jul 2024, In: World Wide Web. 27, 17 p., 50.

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

  Open Access

  File

  • Malware 100%
  • Android Malware Detection 100%
  • Feature Subset Selection 100%
  • Malware Detection 100%
  • Android Malware 100%

• Zero-day Android Botnet Detection using Neural Networks

  Seraj, S., Pimenidis, E., Trovati, M. & Polatidis, N., 16 Dec 2024, In: Neural Computing and Applications. 37, 17, p. 10795-10805 11 p.

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

  Open Access

  File

  • Neural Network 100%
  • Android Botnet 100%
  • Mobile Botnet Detection 100%
  • Zero-day 100%
  • Android 100%
• 2023

  A deep learning approach for host-based cryptojacking malware detection

  Sanda, O., Pavlidis, M. & Polatidis, N., 19 Aug 2023, In: Evolving Systems.

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

  Open Access

  File

  • Malware Detection 100%
  • Deep Learning Methods 100%
  • Host-based 100%
  • Cryptojacking 100%
  • Learning Approach 100%

• Artificial Intuition for Automated Decision-Making

  Trovati, M., Teli, K., Polatidis, N., Cullen, U. A. & Bolton, S., 24 Jul 2023, In: Applied artificial intelligence. 37, 1, 18 p., 2230749.

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

  Open Access

  File

  • Automated Decision-making 100%
  • Artificial Intuition 100%
  • Decision-Making 100%
  • Automated Decision 100%
  • Learning System 100%

• BotDroid: Permission-based Android Botnet Detection Using Neural Networks

  Seraj, S., Pimenidis, E., Pavlidis, M., Kapetanakis, S., Trovati, M. & Polatidis, N., 7 Jun 2023, Engineering Applications of Neural Networks - 24th International Conference, EAAAI/EANN 2023, Proceedings. Iliadis, L., Maglogiannis, I., Alonso, S., Jayne, C. & Pimenidis, E. (eds.). Springer Science and Business Media Deutschland GmbH, Vol. 1826. p. 71-84 14 p. (Communications in Computer and Information Science; vol. 1826 CCIS).

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

  Open Access

  File

  • Neural Network 100%
  • Attacker 100%
  • Malware 100%
  • Permission-based 100%
  • Android Devices 100%

• Long-Range attack detection on permissionless blockchains using Deep Learning

  Sanda, O., Pavlidis, M., Seraj, S. & Polatidis, N., 25 Jan 2023, In: Expert Systems with Applications. 218, 10 p., 119606.

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

  Open Access

  File

  • Deep Learning 100%
  • Attack Detection 100%
  • Permissioned Blockchain 100%
  • Long Range Attacks 100%
  • Blockchain 100%

• MadDroid: malicious adware detection in Android using deep learning

  Seraj, S., Pavlidis, M., Trovati, M. & Polatidis, N., 22 Aug 2023, In: Journal of Cyber Security Technology. 8, 3, p. 163-190 28 p.

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

  Open Access

  • Deep Learning 100%
  • Android 100%
  • Adware Detection 100%
  • Adware 100%
  • Malware 100%

• MVDroid: an Android malicious VPN detector using neural networks

  Seraj, S., Khodambashi, S., Pavlidis, M. & Polatidis, N., 3 Apr 2023, In: Neural Computing and Applications. 35, 29, p. 21555-21565 11 p.

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

  Open Access

  File

  • Neural Network 100%
  • Android 100%
  • Virtual Private Network 100%
  • Malware 16%
  • Evaluation Metrics 8%

• VPNDroid: Malicious Android VPN detection using a CNN-RF method

  Polatidis, N., Pimenidis, E., Trovati, M. & Iliadis, L., 22 Sept 2023, Artificial Neural Networks and Machine Learning: ICANN 2023. p. 444–453 (Lecture Notes in Computer Science; vol. 14263).

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

  Open Access

  File

  • Android 100%
  • Virtual Private Network 100%
  • RF Method 100%
  • CNN-RF 100%
  • Network Anomaly Detection 100%
• 2022

  A New Model for Artificial Intuition

  Trovati, M., Johnny, O., Xu, X. & Polatidis, N., 9 Sept 2022, 31st International Conference on Artificial Neural Networks: ICANN. Springer

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

• A novel LSTM-CNN architecture to forecast stock prices

  Dhaliwal, A., Polatidis, N. & Pimenidis, E., 9 Sept 2022, 31st International Conference on Artificial Neural Networks: ICANN. Springer

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

• A Regulatory Readiness Assessment Framework for Blockchain Adoption in Healthcare

  Sanda, O., Pavlidis, M. & Polatidis, N., 11 Mar 2022, In: Digital. 2, 1, p. 65-87 22 p.

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

  Open Access

  • Healthcare 100%
  • Assessment Framework 100%
  • Blockchain 100%
  • Readiness Assessment 100%
  • Blockchain Adoption 100%

• Fast and accurate evaluation of collaborative filtering recommendation algorithms

  Polatidis, N., Kapetanakis, S., Pimenidis, E. & Manolopoulos, Y., 9 Dec 2022, 14th Asian Conference on Intelligent Information and Database Systems: ACIIDS 2022. Springer, 12 p. (Asian Conference on Intelligent Information and Database Systems).

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

  Open Access

  File

  • Evaluation Metrics 100%
  • Accurate Evaluation 100%
  • Fast Evaluation 100%
  • Collaborative Filtering Recommendation Algorithm 100%
  • Collaborative Filtering 100%

• HamDroid: permission-based harmful android anti-malware detection using neural networks

  Seraj, S., Khodambashi, S., Pavlidis, M. & Polatidis, N., 13 Jan 2022, In: Neural Computing and Applications. 34, 18, p. 15165-15174 10 p.

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

  Open Access

  File

  • Neural Network 100%
  • Malware Detection 100%
  • Android 100%
  • Anti-malware 100%
  • Permission-based 100%

• TrojanDroid: Android Malware Detection for Trojan Discovery Using Convolutional Neural Networks

  Seraj, S., Pavlidis, M. & Polatidis, N., 10 Jun 2022, International Conference on Engineering Applications of Neural Networks: EANN. Iliadis, L., Jayne, C., Tefas, A. & Pimenidis, E. (eds.). Springer Science and Business Media Deutschland GmbH, p. 203-212 10 p. (Communications in Computer and Information Science; vol. 1600 CCIS).

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

  Open Access

  File

  • Malware 100%
  • Android App 100%
  • Convolutional Neural Network 100%
  • Android Platform 100%
  • Android Malware Detection 100%
• 2021

  Data Stream Harmonization For Heterogeneous Workflows

  Bandis, E., Polatidis, N., Diapouli, M. & Kapetanakis, S., 30 Jun 2021, Proceedings of the 35th ECMS International Conference on Modelling and Simulation ECMS 2021. Al-Begain , K., Iacono , M., Campanile , L. & Bargiela, A. (eds.). European Council for Modelling and Simulation, p. 42-47 (Communications of the ECMS; vol. 35, no. 1).

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

  Open Access

  File

• Recommender systems algorithm selection using machine learning

  Polatidis, N., Kapetanakis, S. & Pimenidis, E., 1 Jul 2021, 22nd International Conference on Engineering Applications of Neural Networks. Cham: Springer, p. 477-487 (Proceedings of the International Neural Networks Society; vol. 3).

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

  Open Access

  File

  • Recommender Systems 100%
  • Machine Learning 100%
  • System Algorithm 100%
  • Algorithm Selection 100%
  • Learning System 100%
• 2020

  A novel dataset for fake android anti-malware detection

  Seraj, S., Pavlidis, M. & Polatidis, N., 30 Jun 2020, 10th International Conference on Web Intelligence, Mining and Semantics. New York: ACM, p. 205-209 5 p.

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

  Open Access

  File

  • Malware Detection 100%
  • Android 100%
  • Anti-malware 100%
  • Malware 100%
  • World Wide Web 16%

• DeepKAF: A Heterogeneous CBR & Deep Learning Approach for NLP Prototyping

  Amin, K., Kapetanakis, S., Polatidis, N., Althoff, K.-D. & Dengel, A., 11 Sept 2020, INISTA 2020 - 2020 International Conference on INnovations in Intelligent SysTems and Applications, Proceedings: INISTA 2020. Ivanovic, M., Yildirim, T., Trajcevski, G., Badica, C., Bellatreche, L., Kotenko, I., Badica, A., Erkmen, B. & Savic, M. (eds.). IEEE, p. 1-7 9194679. (INISTA 2020 - 2020 International Conference on INnovations in Intelligent SysTems and Applications, Proceedings).

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

  Open Access

  File

  • Natural Language Processing 100%
  • Case-based Reasoning 100%
  • Heterogeneous Case 100%
  • Deep Learning Methods 100%
  • Case-Based Reasoning 100%

• SEADer++: Social Engineering Attack Detection in Online Environments using Machine Learning

  Lansley, M., Mouton, F., Kapetanakis, S. & Polatidis, N., 10 Apr 2020, In: Journal of Information and Telecommunication.

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

  Open Access

  File

• SEADer++ v2: Detecting Social Engineering Attacks using Natural Language Processing and Machine Learning

  Lansley, M., Kapetanakis, S. & Polatidis, N., 11 Sept 2020, INISTA 2020 - 2020 International Conference on INnovations in Intelligent SysTems and Applications, Proceedings: INISTA 2020. Ivanovic, M., Yildirim, T., Trajcevski, G., Badica, C., Bellatreche, L., Kotenko, I., Badica, A., Erkmen, B. & Savic, M. (eds.). IEEE, p. 1-6 9194623. (INISTA 2020 - 2020 International Conference on INnovations in Intelligent SysTems and Applications, Proceedings).

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

  Open Access

  File

  • Natural Language Processing 100%
  • Machine Learning 100%
  • Social Engineering Attacks 100%
  • Social Engineering Attack 100%
  • Learning System 100%
• 2019

  A guideline-based approach for assisting with the reproducibility of experiments in recommender systems evaluation

  Polatidis, N., Pimenidis, E., Fish, A. & Kapetanakis, S., 4 Dec 2019, In: International Journal on Artificial Intelligence Tools. 28, 8, 1960011.

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

  Open Access

  File

• An explanation-based approach for experiment reproducibility in recommender systems

  Polatidis, N., Papaleonidas, A., Pimenidis, E. & Iliadis, L., 27 May 2019, In: Neural Computing and Applications. p. 1-8

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

  Open Access

  File

  • Recommender Systems 100%
  • Experiment Reproducibility 100%
  • Reproducibility 100%
  • Collaborative Filtering 50%
  • Root Mean Square Error 50%

• A novel recommendation method based on general matrix factorization and artificial neural networks

  Kapetanakis, S., Polatidis, N., Alshammari, G. & Petridis, M., 26 Oct 2019, In: Neural Computing and Applications. 32, p. 12327–12334

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

  Open Access

  File

  • Collaborative Filtering 100%
  • Artificial Neural Network 100%
  • Recommendation Method 100%
  • General Matrix 100%
  • Novel Recommendation 100%

• A switching approach that improves prediction accuracy for long tail recommendations

  Alshammari, G., Jorro Aragoneses, J. L., Kapetanakis, S., Polatidis, N. & Petridis, M., 2019, (Accepted/In press) 4th Artificial Intelligence and Intelligent Systems Conference: Intellisys. Springer, (Advances in Intelligent Systems and Computing).

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

• A switching multi-level method for the long tail recommendation problem

  Alshammari, G., Jorro Aragoneses, J. L., Polatidis, N., Kapetanakis, S., Pimenidis, E. & Petridis, M., 23 Dec 2019, In: Journal of Intelligent and Fuzzy Systems. 37, 6, p. 7189-7198 10 p.

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

  Open Access

  File

  • Collaborative Filtering 100%
  • Recommender Systems 100%
  • Long-tail Recommendation 100%
  • Recommendation Problems 100%
  • Multilevel Methods 100%

• Building Knowledge Intensive Architectures for heterogeneous NLP workflows

  Amin, K., Kapetanakis, S., Polatidis, N., Althoff, K.-D., Dengel, A. & Petridis, M., 2 Aug 2019, (Accepted/In press) AI-2019 Thirty-ninth SGAI International Conference on Artificial Intelligence: SGAI 2019. (Lecture Notes in Artificial Intelligence).

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

• Improved movie recommendations based on a hybrid feature combination method

  Alshammari, G., Kapetanakis, S., Alshammari, A., Polatidis, N. & Petridis, M., 8 Jul 2019, In: Vietnam Journal of Computer Science.

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

  Open Access

  File

• Personalized Recommendations on Twitter based on Explicit User Relationship Modelling

  Alshammari, A., Polatidis, N., Kapetanakis, S., Evans, R. & Alshammari, G., 2019.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File

• SEADer: A Social Engineering Attack Detection method based on Natural Language Processing and Artificial Neural Networks

  Lansley, M., Polatidis, N. & Kapetanakis, S., 4 Oct 2019, Computational Collective Intelligence: 11th International Conference, ICCCI 2019, Proceedings. Nguyen, N.-T., Chbeir, R., Exposito, E., Aniorte, P. & Trawiński, B. (eds.). Springer International Publishing, (Lecture notes in Artificial Intelligence).

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

  Open Access

  File

• Secure Social Media Spaces for Communities of Vulnerable People

  Pimenidis, E. & Polatidis, N., 10 Apr 2019, Proceedings of 12th International Conference on Global Security, Safety and Sustainability, ICGS3 2019. IEEE, 8688027. (Proceedings of 12th International Conference on Global Security, Safety and Sustainability, ICGS3 2019).

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

  Open Access

  File

  • Social Media Spaces 100%
  • Vulnerable People 100%
  • Block Chaining 100%
  • Recommender Systems 100%
  • Successful Implementation 100%

• Seen the villains: Detecting Social Engineering Attacks using Case-based Reasoning and Deep Learning

  Lansley, M., Polatidis, N., Kapetanakis, S., Amin, K., Samakovitis, G. & Petridis, M., 2019.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File

  • Deep Learning 100%
  • Villains 100%
  • Case-based Reasoning 100%
  • Social Engineering Attacks 100%
  • Case-Based Reasoning 100%

• Twitter User Modeling based on Indirect Explicit Relationships for Personalized Recommendations

  Alshammari, A., Kapetanakis, S., Polatidis, N., Evans, R. & Alshammari, G., 9 Aug 2019, Computational Collective Intelligence - 11th International Conference, ICCCI 2019, Proceedings: 11th International Conference, ICCCI 2019, Proceedings. Nguyen, N. T., Chbeir, R., Exposito, E., Aniorté, P., Trawinski, B. & Nguyen, N. T. (eds.). Springer International, p. 93-105 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11683 LNAI).

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

  Open Access

  File

  • User Modeling 100%
  • Personalized Recommendation 100%
  • Twitter 100%
  • Twitter User 100%
  • Explicit Relationship 100%

• User Modeling on Twitter with Exploiting Explicit Relationships for Personalized Recommendations

  Alshammari, A., Kapetanakis, S., Evans, R., Polatidis, N. & Alshammari, G., 21 Mar 2019, Hybrid Intelligent Systems - 18th International Conference on Hybrid Intelligent Systems HIS 2018. Varela, M. L., Abraham, A., Gandhi, N. & Madureira, A. M. (eds.). Cham: Springer, Vol. 923. p. 135-145 11 p. (Advances in Intelligent Systems and Computing; vol. 923).

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

  Open Access

  File

  • User Modeling 100%
  • Personalized Recommendation 100%
  • Twitter 100%
  • Explicit Relationship 100%
  • Similarities 100%
• 2018

  A Hybrid Feature Combination Method that Improves Recommendations

  Alshammari, G., Kapetanakis, S., Alshammari, A., Polatidis, N. & Petridis, M., 8 Aug 2018, International Conference on Computational Collective Intelligence. Springer, p. 209-218 10 p. (Lecture Notes in Computer Science).

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

  Open Access

  File

  • Feature Combination 100%
  • Demographic Filtering 100%
  • Hybrid Features 100%
  • Combined Method 100%
  • Collaborative Filtering 75%

• A Triangle Multi-level Item-Based Collaborative Filtering Method that Improves Recommendations

  Alshammari, G., Kapetanakis, S., Polatidis, N. & Petridis, M., 27 Jul 2018, International Conference on Engineering Applications of Neural Networks. Pimenidis, E. & Jayne, C. (eds.). Springer, Vol. 893. p. 145-157 13 p. (Communications in Computer and Information Science; vol. 893).

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

  Open Access

  File

• From product recommendation to cyber-attack prediction: generating attack graphs and predicting future attacks

  Polatidis, N., Pimenidis, E., Pavlidis, M., Papastergiou, S. & Mouratidis, H., 22 May 2018, In: Evolving Systems. 11, p. 479–490

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

  Open Access

  File

  • Predicting the Future 100%
  • Cyber-attacks 100%
  • Attack Graph 100%
  • Product Recommendation 100%
  • Cyber Attack Prediction 100%

• Mobile recommender systems: Identifying the major concepts

  Pimenidis, E., Polatidis, N. & Mouratidis, H., 3 Aug 2018, In: Journal of Information Science.

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

  Open Access

  File

  • Mobile Recommender Systems 100%
  • Recommender Systems 100%
  • User Experience 100%
  • Web Recommender System 40%
  • Social Networks 20%

• Reproducibility of experiments in recommender systems evaluation

  Polatidis, N., Kapetanakis, S., Pimenidis, E. & Kosmidis, K., 22 May 2018, 14th International Conference on Artificial Intelligence Applications and Innovations. Germany: Springer-Verlag, Vol. 519. p. 401-409 9 p. (IFIP Advances in Information and Communication Technology).

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

  Open Access

  File

  • Recommendation Evaluation 100%
  • Experiment Reproducibility 100%
  • Recommender Systems 100%
  • System Evaluation 100%
  • Reproducibility 100%

• Reproduction of experiments in recommender systems evaluation based on explanations

  Polatidis, N. & Pimenidis, E., 27 Jul 2018, International Conference on Engineering Applications of Neural Networks. Pimenidis, E. & Jayne, C. (eds.). Springer, Vol. 893. p. 194-200 7 p. (Communications in Computer and Information Science).

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

  Open Access

  File
• 2017

  A Method for Privacy-preserving Collaborative Filtering Recommendations

  Georgiadis, C. K., Polatidis, N., Mouratidis, H. & Pimenidis, E., 28 Feb 2017, In: Journal of Universal Computer Science. 23, 2, p. 146-166 21 p.

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

  Open Access

  File

  • Recommender Systems 100%
  • Trust Network 100%
  • Privacy-preserving Collaborative Filtering 100%
  • Collaborative Filtering Recommendation 100%
  • Collaborative Filtering 100%

• Cyber-attack path discovery in a dynamic supply chain maritime risk management system

  Polatidis, N., Pavlidis, M. & Mouratidis, H., 14 Sept 2017, In: Computer Standards & Interfaces. 56, p. 74-82 9 p.

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

  Open Access

  File

  • Dynamic Supply Chain 100%
  • Risk Management System 100%
  • Cyber-attacks 100%
  • Maritime Safety Management 100%
  • Attack Path Discovery 100%

• Privacy-preserving recommendations in context-aware mobile environments

  Polatidis, N., Georgiadis, C. K., Pimenidis, E. & Stiakakis, E., 13 Mar 2017, In: Information and Computer Security. 25, 1, p. 62-79

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

  • Privacy-preserving Recommendation 100%
  • Mobile Environment 100%
  • Mobile Recommender Systems 100%
  • Context-aware 100%
  • Recommender Systems 100%

• Recommender systems meeting security: from product recommendation to cyber-attack prediction

  Polatidis, N., Pimenidis, E., Pavlidis, M. & Mouratidis, H., 2 Aug 2017, International Conference on Engineering Applications of Neural Networks. Germany: Springer, p. 508-519 12 p. (Communications in Computer and Information Science).

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

  Open Access

  File

  • Recommender Systems 100%
  • Cyber-attacks 100%
  • Product Recommendation 100%
  • Cyber Attack Prediction 100%
  • Cyber Attack 100%
• 2016

  A dynamic multi-level collaborative filtering method for improved recommendations

  Polatidis, N. & Georgiadis, C. K., 5 Nov 2016, In: Computer Standards & Interfaces. 51, p. 14-21

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

  • Collaborative Filtering 100%
  • Collaborative Filtering Method 100%
  • collaborative filtering algorithm 100%
  • Electronic Commerce 50%
  • Online Environment 50%