•               Journal - 2

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, DOI: https://doi.org/10.1016/j.compeleceng.2022.108519. 

2. Asha S., Shanmugapriya D., "Understanding insiders in cloud adopted organizations: A survey on taxonomies, incident analysis, defensive solutions, challenges", Future Generation Computer Systems, Volume 158, 2024, Pages 427-446, ISSN 0167-739X, DOI: https://doi.org/10.1016/j.future.2024.04.033.

3. Padmavathi Ganapathi, Roshni Arumugam, Shanmugapriya Dhathari., "An intelligent obfuscated mobile malware detection using deep supervised learning algorithms", Bulletin of Electrical Engineering and Informatics, Volume 13, Issue 4, Pages 2604-2612, ISSN: 2089-3191, e-ISSN: 2302-9285, DOI: https://doi.org/10.11591/eei.v13i4.6974

• 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   (Springer)

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 Indexed)

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 Indexed)

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. (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. (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. (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. (Scopus Indexed)

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• 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)  

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

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  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