Biju Issac
Northumbria University, Teesside University, Swinburne University of Technology Sarawak Campus
Research areas: Computer Science · Computer Networks and Communications · Network Security and Intrusion Detection · Wireless Networks and Protocols · IPv6, Mobility, Handover, Networks, Security
0000-0002-1109-8715
About
Dr Biju Issac is an Associate Professor in Networks and Cyber Security, currently working at Northumbria University, UK. He is the Director of the Academic Centre of Excellence in Cyber Security Research (ACE-CSR). The NCSC and the Engineering and Physical Sciences Research Council (EPSRC) jointly recognise ACE-CSR.
He was the Head of Subject (HoS) until 2025 and holds a PhD in Networking and Mobile Communications, as well as an MCA (Master of Computer Applications) and a BE (Electronics and Communications Engineering). His broad research interests are in Cyber Security and Networks like Botnet/Malware/Ransomware/Intrusion detection using AI/machine learning, Intelligent data or text mining (cyber bullying/hate speech/fake news), Spam detection, Cloud computing and meta-heuristic optimisation techniques, Secure online voting, Image processing etc. He is a Chartered Engineer (CEng), Senior IEEE member and Senior Fellow of HEA.
Employment
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Northumbria University Associate Professor (Network and Cyber Security )2018 - Present
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Teesside University Senior Lecturer2012 - 2018
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Swinburne University of Technology Sarawak Campus Senior Lecturer2004 - 2012
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (142)
- Agentic SABRE: An uncertainty-aware neuro-symbolic multi-agent framework for adaptive ransomware detection Save
- Bayesian-Optimized Deep Learning for Adaptive Real-Time FDIA Detection in Smart Grid Demand Response Systems Save
- Insider Threat Detection Using GCN and Bi-LSTM with Explicit and Implicit Graph Representations Save
- Detection of AI generated images using combined uncertainty measures and particle swarm optimised rejection mechanism Save
- Enhancing Decision-Making in Windows PE Malware Classification During Dataset Shifts with Uncertainty Estimation Save
- A Trustworthy and Untraceable Centralised Payment Protocol for Mobile Payment Save
- Flow-Based Detection of Botnets Through Bio-inspired Optimisation of Machine Learning Save
- Cybersecurity and Human Capabilities Through Symbiotic Artificial Intelligence Save
- Explainable and Uncertainty Aware AI-Based Ransomware Detection Save
- Comprehensive Botnet Detection by Mitigating Adversarial Attacks, Navigating the Subtleties of Perturbation Distances and Fortifying Predictions with Conformal Layers Save
- Malware and botnet prevention in smart building IoT devices using blockchain-enabled federated learning Save
- Ensemble LOF-based detection of false data injection in smart grid demand response system Save
- Ok-NB: An Enhanced OPTICS and k-Naive Bayes Classifier for Imbalance Classification With Overlapping Save
- Plant and Salamander Inspired Network Attack Detection and Data Recovery Model Save
- Android Malware Classification and Optimisation Based on BM25 Score of Android API Save
- IoT-Based Android Malware Detection Using Graph Neural Network With Adversarial Defense Save
- A Multi-Stage Machine Learning and Fuzzy Approach to Cyber-Hate Detection Save
- On Impact of Adversarial Evasion Attacks on ML-based Android Malware Classifier Trained on Hybrid Features Save
- AndroMalPack Save
- A Local Differential Privacy based Hybrid Recommendation Model with BERT and Matrix Factorization Save