compromised sensor nodes. The framework provides an appropriate abstraction of applicationspecific detection mechanisms and models the unique properties of sensor networks. Based o...
Abstract--This paper shows an implementation of CANSCID (Combined Architecture for Stream Categorization and Intrusion Detection). To satisfy the required system throughput, the pa...
Linking network flows is an important problem in intrusion detection as well as anonymity. Passive traffic analysis can link flows but requires long periods of observation to r...
Statistical machine learning techniques have recently garnered increased popularity as a means to improve network design and security. For intrusion detection, such methods build ...
Benjamin I. P. Rubinstein, Blaine Nelson, Ling Hua...
Anomaly detection systems largely depend on user profile data to be able to detect deviation from normal activity. Most of this profile data is based on commands executed by use...