Advanced Intrusion Detection System Through Hybrid Integration of Random Forest and Deep Learning with Artificial Neural Networks
BP Rani, CS Lahari, JA Lavanya… - … for Advancement in …, 2024 - ieeexplore.ieee.org
The growing complexity of cybersecurity threats calls for advanced Intrusion Detection
Systems (IDS) that surpass the capabilities of traditional methods. This paper introduces a …
Systems (IDS) that surpass the capabilities of traditional methods. This paper introduces a …
A framework for detection and mitigation of cyber criminal activities using university networks in Kazakhstan
M Bolatbek, G Baispay, S Mussiraliyeva… - … and Computer Systems, 2024 - nti.khai.edu
The increasing number of information security incidents in higher education underscores the
urgent need for robust cybersecurity measures. This paper proposes a comprehensive …
urgent need for robust cybersecurity measures. This paper proposes a comprehensive …
Detecting Suspicious Network Activities with Zeek Dataset and Machine Learning-Assisted Framework
M Shim - 2024 - search.proquest.com
This praxis explores the application of supervised Machine Learning (ML) techniques to
classify network traffic as benign or malicious by analyzing Zeek Hypertext Transport …
classify network traffic as benign or malicious by analyzing Zeek Hypertext Transport …
[引用][C] AA Review of Frameworks for Evaluating the Security Performance of E-Government Systems: A review Frameworks for security of E-gov
EALS SALEH - Journal of Applied Artificial Intelligence, 2024