Real Time Intrusion Detection and Prevention System

Abstract

Abstract. Major challenge for organizations in today's era is to meet the security needs. Techniques for logging data, detecting intrusions, preventing intrusions have been evolving for years. This paper presents a solution to combine logging, and network based intrusion detection and prevention system. The system has been developed considering the Software Engineering framework of requirements analysis, design, implementation, and testing. For IPS open source tool snort is configured in inline mode, so that sensors captures packets and drops them in case of any suspicious activity is observed. Signatures for Detection and prevention help IPS in alerting the administrator and dropping the packet. Logging of dropped packets is done using Splunk. In the process it provides for cost effective, customizable and scalable solution alternative to Organizations.

Optimal Cluster Expansion-Based Intrusion Tolerant System to Prevent Denial of Service Attacks

“…This accessibility provides convenience to the users, but simultaneously makes users vulnerable to malicious attacks. Many security countermeasures have been introduced, such as firewalls, intrusion detection systems (IDSs), and intrusion prevention systems (IPSs) [1,2]. However, these systems are still vulnerable to evolving malicious attacks, such as zero-day attacks that can target publicly known but unpatched vulnerabilities.…”

Using Cisco Network Components to Improve NIDPS Performance

“…They are also used to detect and react to the unauthorised access to network systems, [4,12]. There are three modes of NIDPS: analysis mode (sniffer mode); detection mode (passive mode); and prevention mode (inline mode).…”

“…Output modules (plugins) are capable of performing multiple operations depending on the results generated by the logging and alerting system. In general, output modules control the form of outcome produced by the logging and alerting system [7,8].Network intrusion prevention systems (NIDPSs) are active, inline devices in a network that can drop, block or reject packets and or stop malicious connections before these reach the targeted system [4,12]. NIDPSs are further classified into software and hardware based.…”

“…IDPSs analyse collected information and infer more useful results than other security products [4,5]. However, some researchers have indicated that whilst IDPSs have significantly improved with the passage of time, they still often produce an unacceptable quantity of false positives and false negatives [4,10,11,12]. In addition, it is difficult to detect suspicious activities in the midst of high traffic and other such adverse circumstances in the network, consequently resulting in an inaccurate detection mechanism.…”

Performance Evaluation of J48 and Bayes Algorithms for Intrusion Detection System

“…We can understand the working of these systems by looking at deductive databases [23]. Real time IDS have found more interest of researchers in the recent past [24].…”