Modeling Intrusion Detection System Using Hybrid Intelligent Systems
The process of monitoring the events occurring in a computer system or network and analyzing them for sign of intrusions is known as Intrusion Detection System (IDS). This paper presents two hybrid approaches for modeling IDS. Decision Trees (DT) and Support Vector Machines (SVM) are combined as a hierarchical hybrid intelligent system model (DT-SVM) and […]
Intrusion Detection Using Neural Networks and Support Vector Machines
Information security is an issue of serious global concern. The complexity, accessibility, and openness of the Internet have served to increase the security risk of information systems tremendously. This paper concerns intrusion detection. We describe approaches to intrusion detection using neural networks and support vector machines. The key ideas are to discover useful patterns or […]
Brain-Computer Interfaces Where Human and Machine Meet
For a long time, researchers have been working on a marriage of human and machine that sounds like something out of science fiction: a braincomputer interface. BCIs read electrical signals or other manifestations of brain activity and translate them into a digital form that computers can understand, process, and convert into actions of some kind, […]