Impact Factor:6.549
 Scopus Suggested Journal: UNDER REVIEW for TITLE INCLUSSION

International Journal
of Computer Engineering in Research Trends (IJCERT)

Scholarly, Peer-Reviewed, Open Access and Multidisciplinary

Welcome to IJCERT

International Journal of Computer Engineering in Research Trends. Scholarly, Peer-Reviewed,Open Access and Multidisciplinary

ISSN(Online):2349-7084                 Submit Paper    Check Paper Status    Conference Proposal

Back to Current Issues

Cyber Threat Security System Using Artificial Intelligence for Android-Operated Mobile Devices

Ms.K Thejeswari, Dr. K Sreenivasulu, Ms.B Sowjanya, ,
Department of CSE, G.Pullaiah College of Engineering and Technology , Kurnool

Malicious attacks on Android mobile devices have increased as smartphone usage has grown rapidly. The Android systems accommodate a variety of important approaches, like banking applications; hence, they become the target of malware that uses security system vulnerabilities. The cyber threat has grown exponentially over the past decade. Cybercriminals have become highly experienced. Current security regulators were insufficient to protect networks from an increasing number of highly skilled cybercriminals. The latest advances in Artificial Intelligence (AI) methods have led to a high level of innovation and automation. While the AI techniques provide important advantages, they could be utilized maliciously. The latest creation of cyber threats leverages modern AI (artificial intelligence)-aided techniques that are efficient for launching multi-level, potent, and potentially devastating attacks. Present cyber defence systems face different problems in protecting against recent and emerging risks. Hence, in this work, a cyber-threat security system using artificial intelligence for Android-operated mobile devices is presented. The machine learning (ML) and deep learning (DL) algorithms can conveniently identify threats on Android mobile devices.

Ms.K Thejeswari,Dr. K Sreenivasulu,Ms.B Sowjanya."Cyber Threat Security System Using Artificial Intelligence for Android-Operated Mobile Devices". International Journal of Computer Engineering In Research Trends (IJCERT) ,ISSN:2349-7084 ,Vol.9, Issue 12,pp.275-280, December- 2022, URL :,

Keywords : Android Mobile devices, Artificial Intelligence, Cyber threats, Cyber security, Machine Learning and Deep Learning

[1] Hasan Alkahtani and Theyazn H. H. Aldhyani, “Artificial Intelligence Algorithms for Malware Detection in Android-Operated Mobile Devices”, Sensors 2022, 22, 2268,
[2] Daniel Kant, Andreas Johannsen, “Evaluation of AI-based use cases for enhancing the cyber security defense of small and medium-sized companies (SMEs)”, 2022, Society for Imaging Science and Technology,
[3] Zhimin Zhang,  Huansheng Ning, Feifei Shi, Fadi Farha, Yang Xu, Jiabo Xu, Fan Zhang,  Kim?Kwang Raymond Choo, “Artificial intelligence in cyber security: research advances, challenges, and opportunities”, 2021 Springer,
[4] Muhammed AbuOdeh, Christian Adkins, Omid Setayeshfar, Prashant Doshi, Kyu H. Lee, “A Novel AI-based Methodology for Identifying Cyber Attacks in Honey Pots”, The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), 2021, Association for the Advancement of Artificial Intelligence
[5] Hooman Alavizadeh, Julian Jang-Jaccard, Tansu Alpcan and Seyit A. Camtepe, “A Markov Game Model for AI-based Cyber Security Attack Mitigation”, arXiv:2107.09258v1 [cs.GT] 20 Jul 2021
[6] Thanh Cong Truong, Quoc Bao Diep and Ivan Zelinka, “Artificial Intelligence in the Cyber Domain: Offense and Defense”, Symmetry 2020, 12, 410; doi:10.3390/sym12030410
[7] Jonghoon Lee, Jonghyun Kim, Ikkyun Kim, And Kijun Han, “Cyber Threat Detection based on Artificial Neural Networks using Event Profiles”, VOLUME 7, 2019, DOI 10.1109/ACCESS.2019.2953095, IEEE Access
[8] A.M.S.N. Amarasinghe, W.A.C.H. Wijesinghe, D.L.A. Nirmana, Anuradha Jayakody, A.M.S. Priyankara, “AI Based Cyber Threats and Vulnerability Detection, Prevention and Prediction System”, 2019 International Conference on Advancements in Computing (ICAC), December 5-6, 2019. Malabe, Sri Lanka
[9] Ozan Veranyurt, “Usage of Artificial Intelligence in DOS/DDOS Attack Detection”, International Journal of Basic and Clinical Studies (IJBCS) 2019; 8(1): 23-36, ISSN:2147-1428
[10] Ricardo Calderon, “The Benefits of Artificial Intelligence in Cyber security”, Economic Crime Forensics Capstones, 2019, doi:
[11] Vishal Dineshkumar Soni, “Role Of Artificial Intelligence in Combating Cyber Threats in Banking”, International Engineering Journal For Research & Development, 4(1), 7, 2019,
[12] Nitika Khurana, Sudip Mittal, Aritran Piplai, Anupam Joshi, “Preventing Poisoning Attacks on AI Based Threat Intelligence Systems”, 2019 IEEE, 978-1-7281-0824-7/19
[13] Gregory Falco, Arun Viswanathan, Carlos Caldera, And Howard Shrobe, “A Master Attack Methodology for an AI-Based Automated Attack Planner for Smart Cities”, 2018 IEEE ACCESS, doi:1 0.1109/ACCESS.2018.2867556
[14]  Amaan Anwar & Syed Imtiyaz Hassan, “Applying Artificial Intelligence Techniques to Prevent Cyber Assaults”, International Journal of Computational Intelligence Research ISSN 0973-1873 Volume 13, Number 5 (2017), pp. 883-889
[15] Nadine Wirkuttis and Hadas Klein, “Artificial Intelligence in Cyber security”, Volume 1, No. 1, 2017, Academia

DOI Link :

Download :

Refbacks : Currently there are no Refbacks


Authors are not required to pay any article-processing charges (APC) for their article to be published open access in Journal IJCERT. No charge is involved in any stage of the publication process, from administrating peer review to copy editing and hosting the final article on dedicated servers. This is free for all authors. 

News & Events

Latest issue :Volume 10 Issue 1 Articles In press

A plagiarism check will be implemented for all the articles using world-renowned software. Turnitin.

Digital Object Identifier will be assigned for all the articles being published in the Journal from September 2016 issue, i.e. Volume 3, Issue 9, 2016.

IJCERT is a member of the prestigious.Each of the IJCERT articles has its unique DOI reference.
DOI Prefix : 10.22362/ijcert

IJCERT is member of The Publishers International Linking Association, Inc. (“PILA”)

Emerging Sources Citation Index (in process)

IJCERT title is under evaluation by Scopus.

Key Dates

☞   LAST DATE OF SUBMISSION : 31st March 2023
In 7 Days

Important Announcements

All the authors, conference coordinators, conveners, and guest editors kindly check their articles' originality before submitting them to IJCERT. If any material is found to be duplicate submission or sent to other journals when the content is in the process with IJCERT, fabricated data, cut and paste (plagiarized), at any stage of processing of material, IJCERT is bound to take the following actions.
1. Rejection of the article.
2. The author will be blocked for future communication with IJCERT if duplicate articles are submitted.
3. A letter regarding this will be posted to the Principal/Director of the Institution where the study was conducted.
4. A List of blacklisted authors will be shared among the Chief Editors of other prestigious Journals
We have been screening articles for plagiarism with a world-renowned tool: Turnitin However, it is only rejected if found plagiarized. This more stern action is being taken because of the illegal behavior of a handful of authors who have been involved in ethical misconduct. The Screening and making a decision on such articles costs colossal time and resources for the journal. It directly delays the process of genuine materials.

Citation Index

Citations Indices All
Citations 1026
h-index 14
i10-index 20
Source: Google Scholar

Acceptance Rate (By Year)

Acceptance Rate (By Year)
Year Rate
2021 10.8%
2020 13.6%
2019 15.9%
2018 14.5%
2017 16.6%
2016 15.8%
2015 18.2%
2014 20.6%

Important Links

Conference Proposal