A Comparative Study of Machine Learning and Deep Learning in Network Anomaly-Based Intrusion Detection Systems

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  • Monday, 07 December 2020 11:55
A Comparative Study of Machine Learning and Deep Learning in Network Anomaly-Based Intrusion Detection Systems

 

On 7th of December - {12:30 PM - 01:30 PM} @ G103B A Comparative Study of Machine Learning and Deep Learning in Network Anomaly-Based Intrusion Detection Systems

A little progress each day adds up to big results

 

MSA University and the Faculty of Computer Science would love to congratulate Mohab Sameh whose paper got accepted at the IEEE International Conference on Computer Engineering and Systems

 

 

Mohab Sameh will present his paper "A Comparative Study of Machine Learning and Deep Learning in Network Anomaly-Based Intrusion Detection Systems", which discusses the application of artificial intelligence in the field of network refinement.

 

Thanks to Dr. Ayman Ezzat & Eng. Ahmed Neil for there effort to bring this idea to light and MSA wishes all the best for Mohab and for the rest of the students.

 

Date & Time: Monday 7th of Dec. from 12:30 PM to 1:30 PM

 

Place: G103B

 

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