Vapour intrusion from the vadose zone—seven algorithms compared

Efficient Algorithms for Intrusion Detection

Detecting user to root attacks is an important intrusion detection task. This paper uses a mix of spectrum kernels and probabilistic suffix trees as a possible solution for detecting such intrusions efficiently. Experimental results on two real world datasets show that the proposed approach outperforms the state of the art Fisher kernel based methods in terms of speed with no loss of accuracy.

Biodegradation in the Vadose Zone

BeeID: intrusion detection in AODV-based MANETs using artificial Bee colony and negative selection algorithms

Mobile ad hoc networks (MANETs) are multi-hop wireless networks of mobile nodes constructed dynamically without the use of any fixed network infrastructure. Due to inherent characteristics of these networks, malicious nodes can easily disrupt the routing process. A traditional approach to detect such malicious network activities is to build a profile of the normal network traffic, and then iden...

Fast Multipattern Search Algorithms for Intrusion Detection

We present new search algorithms to detect the occurrences of any pattern from a given pattern set in a text, allowing in the occurrences a limited number of spurious text characters among those of the pattern. This is a common requirement in intrusion detection applications. Our algorithms exploit the ability to represent the search state of one or more patterns in the bits of a single machine...

A Comparative Study of Intrusion Detection Algorithms

Intrusion detection system (IDS) is a kind of security management model that can be installed in computers and networks. IDS gather information from the network and computer and analyses it to find the possible security breaches into the system, which contain both intrusions and misuse. If we see modern IDS they also have few vulnerabilities, these systems also have drawbacks of false detection...