PEIMA Using Power Laws to address Denial of Service Attacks
Mathematical approach using power laws to detect DoS attacks and other anomalous network activity.
Summary
Denial of Service Problem
DoS attacks require low resources and knowledge, are easy to deploy, and remain remarkably effective. Understanding attack patterns is critical for defense.
PEIMA Method
PEIMA is a novel approach to client-side malicious activity detection using mathematical laws typically applied in finance, text retrieval, and social media analysis. The method is fast and accurate.
Capabilities
PEIMA determines when DoS attacks start and stop without erroneously flagging legitimate heavy server interest. Beyond DoS, unusual activity metrics help detect intrusions and asset compromise.
Network Monitoring
Identifying anomalous network and user metrics provides defense advantages. The technique helps organizations understand and defend against various forms of network-based attacks.
Related talks
Car Hacking Village·52 min
Ben
Detection and prevention of malicious behavior in vehicle-to-everything networks.
Videos·28 min
Industry experts analyze emerging threats surrounding Anomaly Detection using ML & Data Science.
IEEE Symposium on Security and Privacy·18 min
Industry experts analyze emerging threats surrounding An Incremental Learner for Language-Based Anomaly Detection in XML.