BotDroid: Permission-based Android Botnet Detection Using Neural Networks

Saeed Seraj, Elias Pimenidis, Michalis Pavlidis, Stelios Kapetanakis, Marcello Trovati, Nikolaos Polatidis

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBNpeer-review


Android devices can now offer a wide range of services. They support a variety of applications, including those for banking, business, health, and entertainment. The popularity and functionality of Android devices, along with the open-source nature of the Android operating system, have made them a prime target for attackers. One of the most dangerous malwares is an Android botnet, which an attacker known as a botmaster can remotely control to launch destructive attacks. This paper investigates Android botnets by using static analysis to extract features from reverse-engineered applications. Furthermore, this article delivers a new dataset of Android apps, including botnet or benign, and an optimized multilayer perceptron neural network (MLP) for detecting botnets infected by malware based on the permissions of the apps. Experimental results show that the proposed methodology is both practical and effective while outperforming other standard classifiers in various evaluation metrics.

Original languageEnglish
Title of host publicationEngineering Applications of Neural Networks - 24th International Conference, EAAAI/EANN 2023, Proceedings
EditorsLazaros Iliadis, Ilias Maglogiannis, Serafin Alonso, Chrisina Jayne, Elias Pimenidis
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages14
ISBN (Print)9783031342035
Publication statusPublished - 7 Jun 2023
Event24th International Conference on Engineering Applications of Neural Networks - León, Spain
Duration: 14 Jun 202317 Jun 2023
Conference number: 24th

Publication series

NameCommunications in Computer and Information Science
Volume1826 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937


Conference24th International Conference on Engineering Applications of Neural Networks
Abbreviated titleEANN
Internet address

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.


  • Android Malware detection
  • Botnets
  • Neural Networks
  • New dataset


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