CTMBIDS: Convolutional Tsetlin Machine Based Intrusion Detection System for DDoS attacks in an SDN environment
Software Defined Networks (SDN) face many security challenges today. A great deal of
research has been done within the field of Intrusion Detection Systems (IDS) in these …
research has been done within the field of Intrusion Detection Systems (IDS) in these …
Machine Learning Algorithm for Intrusion Detection: Performance Evaluation and Comparative Analysis
MJ Rani, D Singh - 2023 7th International Conference on I …, 2023 - ieeexplore.ieee.org
Ensuring the security of a network or system is crucial in today's digital age. One of the key
measures to achieve this is intrusion detection, which involves identifying and stopping …
measures to achieve this is intrusion detection, which involves identifying and stopping …
Understanding the Limitations of Secure Shell (SSH) in Wireless Network Security
A Upadhyay, S Kulkarni, S Roy… - … on Smart Generation …, 2023 - ieeexplore.ieee.org
comfy Shell (SSH) is an effective community protocol used to securely connect devices over
a computer community. It gives information encryption for relaxed conversation among …
a computer community. It gives information encryption for relaxed conversation among …
Improving industrial security device detection with convolutional neural networks
O Iparraguirre-Villanueva, J Gonzales-Huaman… - 2023 - repositorio.autonoma.edu.pe
Employee safety is paramount in the manufacturing industry to ensure their well-being and
protection. Technological advancements, particularly convolutional neural networks (CNN) …
protection. Technological advancements, particularly convolutional neural networks (CNN) …