Next-Generation Protection: Leveraging Federated Learning and Blockchain for Intrusion Detection in Smart Vehicle Network
JA Malik - Power System Technology, 2024 - powertechjournal.com
Smart Car's era ushers in new challenges, some of which are in the field of information
security such as wise cyber-attack prevention. Traditional IDS systems would lose …
security such as wise cyber-attack prevention. Traditional IDS systems would lose …
Integration of Machine Learning Techniques for Intelligent Network Attack Detection
This study compares the effectiveness of logistic regression and linear discriminant analysis
classifiers to assess the application of machine learning techniques for identifying network …
classifiers to assess the application of machine learning techniques for identifying network …
Prediction of Probability of Server Intrusion Using Machine Learning Techniques
This research paper offers a comprehensive examination of the phenomenon of hostile
server incursions in the field of cybersecurity. Given the increasing frequency and complexity …
server incursions in the field of cybersecurity. Given the increasing frequency and complexity …
NPC: Network Packet Classification Using Machine Learning Methodologies for Preventing Cyberattacks
In modern networking, one of the most important tasks is network packet classification. This
is done to ensure effective information routing, quality of service, and enforcement of …
is done to ensure effective information routing, quality of service, and enforcement of …
Detection of Smartphone Permissioned Security Breaches using Machine Learning Techniques
Attackers may target cell phones by taking advantage of the rights given to installed
applications. Users frequently have to provide application permission when they download …
applications. Users frequently have to provide application permission when they download …