Dr Jeyamohan Neera

Assistant Professor

Department: Computer and Information Sciences

Neera is an Assistant Professor and Programme Leader for Networks and Cybersecurity programme. She is a highligh motivated researcher with expertise in privacy preserving technologies and protection against online harms and cyber security threats. She is a member of Cybernets Research Group at ��ϲ�� and also serves as Expert Fellow for Security Privacy Identity Trust in the Digital Economy (SPRITE+). She is currently the institutional PI for SPRITE+ funded project Fact-Chkd. She is also an active contributor to EU-funded projects, serving as Co-I for HarmonicAI (EU funded staff exchange program investigating human-guided privacy preserving explainable AI models for digital health) and Co-I on Digihealth-Asia (European Union funded Erasmus+ Capacity Building Project). Her recent research focuses on the potential misuse of generative AI and LLMs by adversaries (i.e dis/misinformation, deepfake, social engineering attacks, APTs) to expose sensitive information and manipulate user behaviour.

Email Jeyamohan

Research Themes and Scholarly Interests

Privacy preserving Technologies, Online harms, Cyber security threats such as intrusion detection, APTs, Social Engineering, Mis/Disinformation

Key Publications

A Trustworthy and Untraceable Centralised Payment Protocol for Mobile Payment, Neera, J., Chen, X., Aslam, N., Issac, B. 20 Nov 2024, In: ACM Transactions on Privacy and Security
Private and Utility Enhanced Recommendations with Local Differential Privacy and Gaussian Mixture Model, Neera, J., Chen, X., Aslam, N., Wang, K., Shu, Z. 1 Apr 2023, In: IEEE Transactions on Knowledge and Data Engineering
A Local Differential Privacy based Hybrid Recommendation Model with BERT and Matrix Factorization, Neera, J., Chen, X., Aslam, N., Issac, B., O'Brien, E. 11 Jul 2022, Proceedings of the 19th International Conference on Security and Cryptography (SECRYPT 2022), Setúbal, Portugal, Scitepress
Local Differentially Private Matrix Factorization with MoG for Recommendations, Neera, J., Chen, X., Aslam, N., Shu, Z. 2020, Data and Applications Security and Privacy XXXIV, Cham, Springer
Local Differentially Private Matrix Factorization For Recommendations, Neera, J., Chen, X., Aslam, N. Aug 2019, 2019 13th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2019), Piscataway, NJ, IEEE

PGR Supervision

Peter Smith Does a GAN analysis improve the accuracy of a multivariate approach to detecting attacks on websites? Start Date: 01/10/2024

Qualifications

Computing PhD November 01 2022

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