The Snort intrusion detection system is a widely used and well-regarded open sourcesystem used for the detection of malicious activity in conventional wired networks. Recently, so...
Intrusion attempts due to self-propagating code are becoming an increasingly urgent problem, in part due to the homogeneous makeup of the internet. Recent advances in anomalybased...
Denver Dash, Branislav Kveton, John Mark Agosta, E...
: The success and the acceptance of intrusion detection systems essentially depend on the accuracy of their analysis. Inaccurate signatures strongly trigger false alarms. In practi...
Intrusion detection is an active research field in the development of reliable web-based information systems, where many artificial intelligence techniques are exploited to fit th...
The accuracy of detecting an intrusion within a network of intrusion detection systems (IDSes) depends on the efficiency of collaboration between member IDSes. The security itself ...
Carol J. Fung, Olga Baysal, Jie Zhang, Issam Aib, ...
The security policy of an information system may include a wide range of different requirements. The literature has primarily focused on access and information flow control require...
Intrusions impose tremendous threats to today’s computer hosts. Intrusions using security breaches to achieve unauthorized access or misuse of critical information can have cata...
Chuan Feng, Jianfeng Peng, Haiyan Qiao, Jerzy W. R...
Network attacks have become the fundamental threat to today's largely interconnected computer systems. Unauthorized activities and unauthorized access account for a large pro...
Our demo presents an agent-based intrusion detection system designed for deployment on high-speed backbone networks. The major contribution of the system is the integration of sev...
We present a prototype of agent-based intrusion detection system designed for deployment on high-speed backbone networks. The main contribution of the system is the integration of...