In [1], we proposed a model for policy-based intrusion detection, based on information flow control. In the present paper, we show its applicability and effectiveness on a standard OS. We present results of two set of experiments, one carried out in a completely controlled environment, the other on an operational server with real network traffic. Our results results show that the model fulfills...

Most intrusion detection systems available today are using a single audit source for detecting all attacks, even though attacks have distinct manifestations in different parts of the system. In this paper we carry out a theoretical investigation of the role of the audit source for the detection capability of the intrusion detection system (IDS). Concentrating on web server attacks, we examine t...

Network and information security is of increasing concern as intruders utilize more advanced technologies, and attacks are occurring much more frequently. A simple intrusion can cause an enterprise financial disaster, a threat to national safety, or loss of human life. Network-based and computer-based intrusion detection systems (IDS's) started appearing some twenty years ago. Now, there are va...

Modern intrusion detection systems (IDSes) for virtualized environments are deployed in the virtualization layer with components inside the virtual machine monitor (VMM) and the trusted host virtual machine (VM). Such IDSes can monitor at the same time the network and host activities of all guest VMs running on top of a VMM being isolated from malicious users of these VMs. We refer to IDSes for...

Cyber security is a serious global concern. The potential of cyber terrorism has posed a threat to national security; meanwhile the increasing prevalence of malware and incidents of cyber attacks hinder the utilization of the Internet to its greatest benefit and incur significant economic losses to individuals, enterprises, and public organizations. This paper presents some recent advances in i...

Modern intrusion detection systems (IDSes) for virtualized environments are deployed in the virtualization layer with components inside the virtual machine monitor (VMM) and the trusted host virtual machine (VM). Such IDSes can monitor at the same time the network and host activities of all guest VMs running on top of a VMM being isolated from malicious users of these VMs. We refer to IDSes for...

To improve the efficiency of Internet intrusion detection, data mining is adopted in intrusion detection. The paper introduces the concept of intrusion detection and k-means algorithm. For the defect of K-means algorithm, it proposes an improved K-means algorithm. Experiments show that the improved k-means algorithm can get a better detection rate. Introduction With the rapid development and wi...

With mounting global network connectivity, the issue of intrusion has achieved importance, promoting active research on efficient Intrusion Detection Systems (IDS). Artificial Immune System (AIS) is a new bio-inspired model which is applied for solving various problems in the field of information security. Because of its unique features, (self-learning, self-adaptation and selfimprovement), AIS...

Intrusion detection has emerged as an important approach to network, host and application security. Network security includes analysing network packet payload and other inert network packet profiles for intrusive trends; whereas, host security may employ system logs for intrusion detection. In this paper, we contribute to the research community by tackling application security and attempt to de...

In this paper, a new learning algorithm for adaptive network intrusion detection using naive Bayesian classifier and decision tree is presented, which performs balance detections and keeps false positives at acceptable level for different types of network attacks, and eliminates redundant attributes as well as contradictory examples from training data that make the detection model complex. The ...