Researchers in the Department of Computer Science & Engineering at Tezpur University, located in Assam, India published a long essay on Anomaly based DDoS Attack Detection in 2015 in the International Journal of Computer Applications. What … [Read more...] about Anomaly-based DDoS Attack Detection, According to Tezpur University Researchers
feature engineering
Princeton Machine Learning Detection of IoT DDoS
Researchers at Princeton just published a set of encouraging results showing that real-time detection of IoT DDoS attacks is possible using machine learning techniques. The Princeton team decided to focus on detecting IoT DDoS attacks because of … [Read more...] about Princeton Machine Learning Detection of IoT DDoS
The Two Classes of Feature Engineering Important to Detecting Attack IoT Traffic
There are two classes of features relevant to differentiating between normal and attack IoT traffic. These are stateless features, which are derived from flow-independent characteristics of individual packets and stateful features, which capture how … [Read more...] about The Two Classes of Feature Engineering Important to Detecting Attack IoT Traffic