Machine learning has great utility within the context of network intrusion detection systems. In this paper, a behavior analysis-based learning framework for host level network in...
Haiyan Qiao, Jianfeng Peng, Chuan Feng, Jerzy W. R...
—Cooperation between intrusion detection systems (IDSs) allows collective information and experience from a network of IDSs to be shared to improve the accuracy of detection. A c...
Carol J. Fung, Quanyan Zhu, Raouf Boutaba, Tamer B...
Intrusion rule processing in reconfigurable hardware enables intrusion detection and prevention services to run at multi Gigabit/second rates. High-level intrusion rules mapped d...
– As mobile wireless ad hoc networks have different characteristics from wired networks and even from standard wireless networks, there are new challenges related to security iss...
Network intrusions have been a fact of life in the Internet for many years. However, as is the case with many other types of Internet-wide phenomena, gaining insight into the glob...