Personal profile
Biography
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 Northumbria University 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.
Research interests
Privacy preserving Technologies, Online harms, Cyber security threats such as intrusion detection, APTs, Social Engineering, Mis/Disinformation
Education/Academic qualification
Computing, PhD, Privacy Preserving and Responsible AI Solutions for E-Commerce, Northumbria University
Award Date: 1 Nov 2022
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Collaborations and top research areas from the last five years
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A Trustworthy and Untraceable Centralised Payment Protocol for Mobile Payment
Neera, J., Chen, X., Aslam, N. & Issac, B., 31 May 2025, In: ACM Transactions on Privacy and Security. 28, 2, p. 1-29 29 p., 22.Research output: Contribution to journal › Article › peer-review
Open AccessFile25 Downloads (Pure) -
Explainable and Uncertainty Aware AI-based Ransomware Detection
Kabuye, H., Issac, B., Yumlembam, R. & Neera, J., 26 Jun 2025, In: IEEE Access. 13, p. 106573-106589 17 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)162 Downloads (Pure) -
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. 35, 4, p. 4151-4163 12 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile30 Citations (Scopus)74 Downloads (Pure) -
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, p. 325-332 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open AccessFile48 Downloads (Pure) -
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: 34th Annual IFIP WG 11.3 Conference, DBSec 2020, Regensburg, Germany, June 25–26, 2020, Proceedings. Singhal, A. & Vaidya, J. (eds.). Cham: Springer, Vol. 12122. p. 208-220 13 p. (Lecture Notes in Computer Science; vol. 12122).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open AccessFile3 Citations (Scopus)76 Downloads (Pure)