In recent years, the applications based on the Wireless Sensor Networks are growing very fast. The application areas include agriculture, healthcare, military, hospitality management, mobiles and many others. So these networks are very important for us and the security of the network from the various attacks is also a more important issue in WSN application now days. Stopping these attacks or e...

Applying intrusion detection to the fast growing computational Grid environments improves the security which is considered to be the heart of this new field. Flexible cooperative distributed intrusion detection architecture is introduced that suits and benefits from the underlying computational Grid environment. The proposed architecture was tested using homogeneous distributed intrusion detect...

Information security in the sense of personal and institutional has become a top priority in digitalized modern world in parallel to the new technological developments. Many methods, tools and technologies are used to provide the information security of IT systems. These are considered, encryption, authentication, firewall, and intrusion detection and prevention systems. Moreover, honeypot syst...

This paper analysis and criticizes the way of using, functioning the intrusion detection system in data mining. Understanding the techniques. data mining approach such as intrusion detection system using association datasets where as in event correlation data mining method we will maintain. traffic analysis and anomaly intrusion detection systems are needed. log data by using a knowledge discov...

In this article, we proposed an inner intrusion detection system, named Cumulative-Sum-based Inner Intrusion Detection System (CSIIDS), which detects inner malicious behaviors, launched toward local servers/hosts by other local hosts. Detection is performed based on Cumulative Sum (CUSUM) algorithm. Experimental results show that CSIIDSs can carry out a higher security level for the protected n...

In this paper we propose a framework for intrusion detection called Fuzzy Agent-Based Intrusion Detection System . A unique feature of this model is that the agent uses the fuzzy logic to process log files. This reduces the overhead in a distributed intrusion detection system. We have developed an agent communication architecture that provides a prototype implementation. This paper discusses th...

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...

In traditional intrusion detection system (IDS) environments, little activity has been applied to using visual analysis as an aid to intrusion detection. With more information systems being attacked and attack techniques evolving, the task of detecting intrusions is becoming an increasingly difficult. Efficient information visualization is an important element required for urgent detection of i...

Problem statement: Past few years have witnessed a growing recognition of intelligent techniques for the construction of efficient and reliable Intrusion Detection Systems (IDS). Many methods and techniques were used for modeling the IDS, but some of them contribute little or not to resolve it. Approach: Intrusion detection system for local area network by using Support Vector Machines (SVM) wa...

The area of intrusion detection is the central concept in overall network and computer security architecture. It is an important technology in business sector as well as in research area. By monitoring the computer and network resources, Intrusion Detection System (IDS) detects any of the misuse or unauthorized access which is basically an attack to these resources. Then it alerts and informs a...