Interpretable AI for Network Security - IIDS
In today's world, Network and System Security are of paramount importance in the digital communication environment. On par with the developments in technology, many threats have emerged for information security which has worse effects when it comes to sensitive transactions.
Intruders can easily break the walls of the network and can cause many kinds of breaches such as the crash of the networks, Denial Of Service, injecting Malware, etc.,
An Intelligent Intrusion Detection System is built by leveraging the benefits of Machine Learning techniques that detect the intrusion and alerts the respective network administrator. The developed system analyses and predicts the behavior of users which in turn classifies as an anomaly or normal behavior.
Outline/Structure of the Talk
Types of IDS
Experiments and Results
Open Research Issues
How AI can be used to solve problem in Cyber Security
CIOs, CXOs, CEOs, AI, Data scientists, Network security engineers, IT heads
schedule Submitted 1 year ago
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Algorithmic optimization techniques to improve network performance, including network compression techniques such as network pruning, low precision, and sparsity. Effective techniques to improve inference speed and portability, including a comparison of the classic approach vs. a more accurate approach to considering flops, parameters, compute, memory, and heap size.