Today we are suffering from many problems because of intruder interference in our communication with other person/organisation. We need a very safe and secure intrusion detection system. So, intrusion detection has become an important area of research The existing systems are not completely flawless and secure. So, there is the need to improve the existing system. In this paper, firstly we are ...

Ensuring that the appropriate level of security is available in wireless networks is absolutely essential. To aid in the defense and detection of potential threats, WLANs should employ security solutions that include an anomaly-based intrusion detection system (ADS) that identify wireless network intrusions by gathering and analyzing the data that is available on the system. This paper is to pr...

The goal of the article is to presents intrusion detections systems and design architecture of intrusion detection based on neural network self organizing map. In the report is described base problematic of neural network and intrusion detection system. The article further deals with specific design of intrusion detection architecture based on user anomaly behavior. A core of the designed archi...

–Nowadays, as information systems are more open to the Internet, the importance of secure networks is tremendously increased. New intelligent Intrusion Detection Systems (IDSs) which are based on sophisticated algorithms rather than current signature-base detections are in demand. There is often the need to update an installed Intrusion Detection System (IDS) due to new attack methods or upgrad...

Internet continues to expand exponentially and access to the Internet become more prevalent in our daily life but at the same time web application are becoming most attractive targets for hacker and cyber criminals. This paper presents an enhanced intrusion detection system approach for detecting input validation attacks in the web application. The existing IDS for Input validation attacks are ...

The intrusion detection systems are classified as Network based or Host based attacks. The network based attack may be either misuse or anomaly based attacks. The network based attacks are detected from the interconnection of computer systems. The system is able to communicate with each other, so that the attack is sent from one computer system to another computer system by the way of routers a...

The exponential growth in wireless network faults, vulnerabilities, and attacks make the WLAN security management a challenging research area [29]. Data mining applied to intrusion detection is an active area of research. The main reason for using data mining techniques for intrusion detection systems is due to the enormous volume of existing and newly appearing network data that require proces...

To improve network security different steps has been taken as size and importance of the network has increases day by day. Then chances of a network attacks increases Network is mainly attacked by some intrusions that are identified by network intrusion detection system. These intrusions are mainly present in data packets and each packet has to scan for its detection. This paper works to develo...

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...

Due to the amount of anonymity afforded to users of the Tor infrastructure, Tor has become a useful tool for malicious users. With Tor, the users are able to compromise the non-repudiation principle of computer security. Also, the potentially hackers may launch attacks such as DDoS or identity theft behind Tor. For this reason, there are needed new systems and models to detect the intrusion in ...