Center for Cyber Intelligence

       Cyber Security has become a major challenge due to increased usage of Internet and Mobile Devices for personal applications and professional activities. Application of Internet of Things in Smart City and Smart Industrial applications have challenged the entire digital system through sophisticated cyber-attacks on Information Technology (IT) infrastructures. Many Cyber Frauds and Scams are also on the rise affecting the common man when they start using the digital facilities without proper training and awareness. To use the electronic devices and Internet safely and securely to the benefit of the individuals, IT infrastructures must become resilient against the threats and vulnerabilities that are intelligent. Hence, there is a need for application of Artificial Intelligence in developing solutions and handling the threats in an effective manner. Orientation, training and interactions with the leading scientific organizations and the industrial organizations who are actively involved in developing solutions are essential to prepare the young talents towards Cyber Intelligence. Organizing capacity building programmes to handle and manage the risks are the need of the hour for the younger generation and for Nation Building activities.  

• Journal -1

1.  Asha S, Shanmugapriya D, Padmavathi G, “Malicious insider threat detection using variation of sampling methods for anomaly detection in cloud environment”Computers and Electrical Engineering, Volume 105, 2023,108519, ISSN 0045-7906, https://doi.org/10.1016/j.compeleceng.2022.108519. 

• Conference Proceedings-8

1. Padmavathi,G.,Shanmugapriya,D.,Asha,S.(2022).A Framework for Improving the Accuracy with Different Sampling Techniques for Detection of Malicious Insider Threat in Cloud.In:Uddin,M.S.,Jamwal,P.K.,Bansal,J.C.(eds) Proceedings of International Joint Conference on Advances in Computational Intelligence.Algorithms for Intelligent Systems. Springer,Singapore.https://doi.org/10.1007/978-981-19-0332-8_36   (Web of Science)

2. G.Padmavathi, D.Shanmugapriya and A.Roshni, "Performance Analysis of Unsupervised Machine Learning Methods for Mobile Malware Detection," 2022 9th International Conference on Computing for Sustainable Global Development (INDIACom),2022,pp.201-206, doi:10.23919/INDIACom54597.2022.9763180. (Scopus Index)

3. G.Padmavathi , D.Shanmugapriya and S.Asha,"A Framework to Detect the Malicious Insider Threat in Cloud Environment using Supervised Learning Method," 2022 9th International Conference on Computing for Sustainable Global Developement (INDIACom), 20222,pp.354,doi:10.23919/INDIACom54597.2022.9763205. (Scopus Index)

4. Dr.D.Nethra Pingala Suthishni , Dr.D.Shanmugapriya, Dr.V.Sasirekha, and Dr.G.Padmavathi, Performance Evaluation on Selective Forwarding Attack Detection using Machine Learning Techniques implemented in ZIGBEE Network,Springer Proceedings of 2nd International Conference on Next Generation Computer System. (ICNGCS - 2023)

5. D.Shanmugapriya,G.Padmavathi and A.Aysha,"Detection of Iris Template Attacks using Machine Learning and Deep Learning Methods:, 2023 10th International Conference on Computing for Sustainable Global Development (INDIACom),2023.(Yet to be Scopus Indexed).

6. S. Sneha, A. Roshni, and G. Padmavathi, "A Stacked Ensemble Model to Detect Network Intrusions", Fourteenth International Conference on Advances in Communication, Network, and Computing - CNC 2023. (Yet to be Scopus Indexed) 

7. K. Bhuvaneswari, A. Roshni, and G. Padmavathi, "Evaluation of Selected Supervised Machine Learning Models for Phishing Website Detection", Fourteenth International Conference on Advances in Communication, Network, and Computing - CNC 2023. (Yet to be Scopus Indexed) 

8. S. Kiruthika, A. Roshni, and G. Padmavathi, "Detection of Obfuscated Malware using Ensemble Learning Techniques", Fourteenth International Conference on Advances in Communication, Network, and Computing - CNC 2023. (Yet to be Scopus Indexed) 

• Book Chapter-5

1. G Padmavathi , D Shanmugapriya, S Asha (2022), Detection of Malicious Insider in Cloud Environment based on Behavior Analysis , Progressions made in Cyber-Security World , pg : 1-9,ISBN:978-1-003-30238-4(ebk) DOI:10.201/9781003302384, CRC Press.  (Taylor and Francis)

2.  G Padmavathi , D Shanmugapriya , A Roshni (2022), Evaluation of Supervised Machine Learning Classifiers to Detect Mobile Malware , Progessions made in Cyber-Security World , pg:1-9 , ISBN:978-1-003-30238-4(ebk) DOI :10.201/9781003302384, CRC Press . (Taylor and Francis)

3.  Ganapathi , P. ., Shanmugapriya , D . .,Roshni, A. .(2022). Evaluation of Principal Component Analysis Variants to Assess Their Suitability for Mobile Malware Detection. In (Ed.), Advances in Principal Component Analysis.IntechOpen. https://doi.org/10.5772/intechopen.105418    

4. Gaayathri M., Padmavathi Ganapathi, Roshni A., Shanmugapriya D (2023), “Wrapper-Based Feature Selection for Detecting the Lexical Phishing Websites Using Ensemble Learning Algorithms”, Malware Analysis and Intrusion Detection in Cyber-Physical Systems, IGI Global, DOI: 10.4018/978-1-6684-8666-5, ISBN13: 9781668486665 | ISBN10: 1668486660 | EISBN13: 9781668486689 

5.  Sri Danalaksmi P., Geethalakshmi S. N., Roshni A., Padmavathi Ganapathi (2023), “Classification of Firewall Log Files Using Supervised Machine Learning Techniques”, Malware Analysis and Intrusion Detection in Cyber-Physical Systems, IGI Global, DOI: 10.4018/978-1-6684-8666-5, ISBN13: 9781668486665 | ISBN10: 1668486660 | EISBN13: 9781668486689 

• Book - 3

  1. Ganapathi, P. ., Shanmugapriya, D. ., & Roshni, A. . (2022). Dynamic Analysis Based Mobile Malware Classification Using Supervised Machine Learning Methods, 1–168. https://doi.org/10.9734/bpi/mono/978-93-5547-441-4, B P International. ISBN 978-93-5547-441-4 (Print), ISBN 978-93-5547-442-1 (eBook)  

• 2.  Padmavathi Ganapathi, S. Karthika (2022), Vulnerability Assessment with Nessus, 1-107,  Notion Press, ISBN: 9798886848632  https://notionpress.com/read/vulnerability-assessment-with-nessus 

• 3. Padmavathi Ganapathi, D. Nethra Pingala Suthishni (2023). Security Auditing with NMAP. pp. 1 - 114. ISBN: 9798889350699,Publisher: Notion Press. https://notionpress.com/read/security-auditing-with-nmap

• SOEBIT Cybersecurity, The Netherlands, Europe.

• Students Projects External Evaluation and Presentation 2021 - 2022 (Report)

• Students Projects External Evaluation and Presentation 2022 - 2023 (Report)