In this paper, we introduce new learning algorithms for reducing false positives in intrusion detection. It is based on decision tree-based attribute weighting with adaptive naïve Bayesian tree, which not only reduce the false positives (FP) at acceptable level, but also scale up the detection rates (DR) for different types of network intrusions. Due to the tremendous growth of network-based se...

C security has become an increasingly vital field in computer science in response to the proliferation of private sensitive information. The term “Intrusion” refers to any unauthorized access which attempts to compromise confidentiality, integrity and availability of information resources [1] [14] [32]. Traditional intrusion prevention techniques such as firewalls, access control and encryption...

increasing the popularity of sip based services (voip, iptv, ims infrastructure) lead to concerns about its ‎security. the main signaling protocol of next generation networks and voip systems is session initiation protocol ‎‎(sip). inherent vulnerabilities of sip, misconfiguration of its related components and also its implementation ‎deficiencies cause some security concerns in sip based infra...

In the real time Intrusion Detection system, the main confront is to detect the Anomaly Intrusion Detection system Model with ADWIN change Detector. intrusion detection system, that utilizes machine learning techniques such as single classifier and hybrid build the model was decreased and the detection. Intrusion Detection System (IDS) to detect and prevent cybercrimes to protect these The prop...

This paper proposes a new cloud intrusion detection system for detecting the intruders in a traditional hybrid virtualized, cloud environment. The paper introduces an effective feature selection algorithm called Temporal Constraint based on Feature Selection algorithm and also proposes a classification algorithm called hybrid decision tree. This hybrid decision tree has been developed by extend...

In the information era, as computer networks and related applications become more and more popular, security problems are more and more serious in global information infrastructure. It was reported that in the past two years, large amounts of network attacks and computer viruses caused great damages to global economy and the potential threats to the global information infrastructure have increa...

Network intrusion detection systems provide proactive defense against security threats by detecting and blocking attack-related traffic. This task can be highly complex, and therefore, software-based network intrusion detection systems have difficulty in handling high speed links. This paper describes the design and implementation of a highperformance network intrusion detection system that com...