From the 1 of 9 linked papers with an AI index.
4 papers · 1 filter
Explaining Intrusion Alert Decisions of Deep Learning-based Network Intrusion Detection Systems for Security Analysts
Ayush Kumar, Vrizlynn L. L. Thing
The paper introduces EXP-SEC, a framework that explains the alerts generated by deep‑learning‑based network intrusion detection systems by isolating suspect traffic and providing g…
ExpIDS: A Drift-adaptable Network Intrusion Detection System With Improved Explainability
Ayush Kumar, Kar Wai Fok, Vrizlynn L. L. Thing
Despite all the advantages associated with Network Intrusion Detection Systems (NIDSs) that utilize machine learning (ML) models, there is a significant reluctance among cyber secu…
A Survey of Transaction Tracing Techniques for Blockchain Systems
Ayush Kumar, Vrizlynn L. L. Thing
With the proliferation of new blockchain-based cryptocurrencies/assets and platforms that make it possible to transact across them, it becomes important to consider not just whethe…
Evaluating The Explainability of State-of-the-Art Deep Learning-based Network Intrusion Detection Systems
Ayush Kumar, Vrizlynn L. L. Thing
State-of-the-art deep learning (DL)-based network intrusion detection systems (NIDSs) offer limited "explainability". For example, how do they make their decisions? Do they suffer…