Title 1: Detecting Cyberthreats in Metaverse Learning Platforms using an Explainable DNN. IoT Journal (Accepted)
Title 2: Zero-Trust Marine Cyberdefense for IoT-Based Communications: An Explainable Approach. Electronics Journal (Accepted)
Title 3: XAI with Adversarial Defence for Zero-Trust Metaverse DDoS Attack Detection IEEE TDSC (Under review )
Title 4: MetaWatch: Trends, Challenges, and Future Directions for Intrusion Detection in the Metaverse (Under Review IEEE IoT )
Title 5: Nowhere to hide: A zero-trust framework for detecting stalkerwares in IoT-based
Metaverse Networks ( Under Review Adhoc Networks)
Title 6: Explainable Tiny Machine Learning-based Intrusion Detection System for Consumer-Centric Metaverse (Under Review IEEE TCE)
Title 7: Employing XAI-Driven Insights for Interpretable Upselling in the Automotive Industry. (Ready for submission)
Title 8: Towards Zero-trust Network Intrusion Detection for the Metaverse (Draft Thesis Title)
>> Addressed paper corrections given for my thesis
>> Submitted paper manuscript to Adhoc Networks
>>Revised all review comments of all my submitted papers to gather ideas for my thesis writing
>>Completed Chapters 1-5 of the Thesis
>>Complete Thesis writing and feedback from professor
S>>Submit JCCI paper
NIL
NIL
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Complete and Defend MSc Thesis
2024 Goals:
1. Submit at least two SCI or SCIE journals
2. Attend one international conference
{ICAIIC 2024}(Accepted)
3. Attend one domestic conference
{KICS Winter 2024}(Accepted)
4. Complete Thesis & graduation requirements