Before the flourishing of the Internet, computers were limited to the walls of the organization where computers were linked to each other but had little contact with computer systems outside. Now, we can reach farther, and can expose and link our computers to the entire world; however, such capabilities have made our privacy and assets vulnerable to cyber space attackers. Fortunately, attacks c...

Signature based intrusion detection systems cannot detect new attacks. These systems are the most used and developed ones. Current anomaly based intrusion detection systems are also unable to detect all kinds of new attacks because they are designed to restricted applications on limited environment. Current hackers are using new attacks where neither preventive techniques mainly based on access...

­ Network intrusion detection sensors are usually built around low level models of network traffic. This means that their output is of a similarly low level and as a consequence, is difficult to analyze. Intrusion alert correlation is the task of automating some of this analysis by grouping related alerts together. Attack graphs provide an intuitive model for such analys...

Many methods have been developed to secure the network infrastructure and communication over the Internet. Intrusion detection is a relatively new addition to such techniques. Intrusion detection systems (IDS) are used to find out if someone has intrusion into or is trying to get it the network. One big problem is amount of Intrusion which is increasing day by day. We need to know about network...

Mobile ad hoc networks and wireless sensor networks have promised a wide variety of applications. However, they are often deployed in potentially adverse or even hostile environments. Therefore, they cannot be readily deployed without first addressing security challenges. Intrusion detection systems provide a necessary layer of in-depth protection for wired networks. However, relatively little ...

Mobile ad hoc networks and wireless sensor networks have promised a wide variety of applications. However, they are often deployed in potentially adverse or even hostile environments. Therefore, they cannot be readily deployed without first addressing security challenges. Intrusion detection systems provide a necessary layer of indepth protection for wired networks. However, relatively little r...

Intrusion detection systems are the foremost tools for providing safety in computer and network system. There are many limitations in traditional IDSs like time consuming statistical analysis, regular updating, non adaptive, accuracy and flexibility. It is an Artificial Neural Network that supports an ideal specification of an Intrusion Detection System and is a solution to the problems of trad...

In this paper, we present an information sharing model for distributed intrusion detection systems. The typical challenges faced by distributed intrusion detection systems is what information to share and how to share information. We address these problems by using the Cumulative Sum algorithm to collect statistics at each local system, and use a machine learning approach to coordinate the info...

Intrusion Detection is the problem of identifying unauthorized use, misuse, and abuse of computer systems by both system insiders and external intruders. Intrusion Detection Systems provide in depth packet analysis and application awareness and can be deployed for discovering network attacks. In this scenario a system that gives intelligence about the traffic on your network is necessary. This ...

Cyber attack is one of the most rapidly growing threats to the world of cutting edge information technology. As new tools and techniques are emerging everyday to make information accessible over the Internet, so is their vulnerabilities. Cyber defense is inevitable in order to ensure reliable and secure communication and transmission of information. Intrusion Detection System (IDS) and Intrusio...