Hybrid Intrusion Forecasting Framework for Early Warning System

Hybrid Intrusion Forecasting Framework for Early Warning System

Recently, cyber attacks have become a serious hindrance to the stability of Internet. These attacks exploit interconnectivity of networks, propagate in an instant, and have become more sophisticated and evolutionary. Traditional Internet security systems such as firewalls, IDS and IPS are limited in terms of detecting recent cyber attacks in advance as these systems respond to Internet attacks ...

Early Warning Intrusion Detection System

Early Warning Intrusion Detection System (EWIS) is a distributed global scoped Internet threat monitoring system with the potential of detecting large scale malicious events as early as possible. The system’s architecture includes a network of distributed low-interaction sensors and a central server [1]. The sensors are small computing platforms [2] that by design are easy to deploy in a distri...

A Hybrid Framework for Building an Efficient Incremental Intrusion Detection System

In this paper, a boosting-based incremental hybrid intrusion detection system is introduced. This system combines incremental misuse detection and incremental anomaly detection. We use boosting ensemble of weak classifiers to implement misuse intrusion detection system. It can identify new classes types of intrusions that do not exist in the training dataset for incremental misuse detection. As...

A Hybrid Intelligent System For Forecasting Gasoline Price

A Framework for Hybrid Intrusion Detection Systems

Web application security is a definite threat to the world’s information technology infrastructure. The Open Web Application Security Project (OWASP), generally defines web application security violations as unauthorized or unintentional exposure, disclosure, or loss of personal information. These breaches occur without the company’s knowledge and it often takes a while before the web applicati...