Assuring secure and reliable operation of networks has become a priority research area these days because of ever growing dependency on network technology. Intrusion detection systems (IDS) are used as the last line of defence. IDS identifies patterns of known intrusions (misuse detection) or differentiates anomalous network data from normal data (anomaly detection). In this paper, a novel Intr...

Intrusion Detection System (IDS) is used to detect intrusion and then alert the system administrator about the intrusion. This is what traditional IDS is all about. It is then up to the system administrator to deal with the intrusion. Human intervention is still needed when it comes to dealing with intrusion. This is because traditional IDS could only detect the intrusion but could not, on its ...

The process of monitoring the events occurring in a computer system or network and analyzing them for sign of intrusions is known as intrusion detection system (IDS). This paper presents two hybrid approaches for modeling IDS. Decision trees (DT) and support vector machines (SVM) are combined as a hierarchical hybrid intelligent system model (DT–SVM) and an ensemble approach combining the base ...

Problem statement: Security Management has become a critical aspect for large scale distributed systems. Particularly, recent Distributed Intrusion Detection Systems (DIDS) schemes in High Speed Networks (HSN) have raised new serious management problems and challenges. Increasing the effectiveness of IDS monitoring is primordial to satisfy the restrictive constraints in such large multi-domains...

This paper proposes a group of criteria for evaluating Intrusion Detection Systems (IDS for short). In this article, an existing evaluation strategy of intrusion detection system is going to be briefly introduced as a case to be assessed against our proposed criteria. Intrusion Detection Systems are critical components to the primary defence of computer system and network security. An evaluatio...

The goal of intrusion detection systems(IDS) is to protect from the signs of security problems. However, since an IDS usually depends on the monitored data and has to identify an intruder, the running of IDS comes to threaten users’ privacy. In this paper, we propose a new privacy preserving method in intrusion detection system by applying cryptographic methods to log files. It can meet the enh...

Intrusion Detection Systems (IDS) use different techniques to reduce the number of false positives they generate. Simple network context information such as the communication session state has been added in IDS signatures to only raise alarms in the proper context. However, this is often not sufficient and more network context information needs to be added to these Stateful IDS (SIDS) signature...

The security of computer networks plays a strategic role in modern computer systems. Intrusion Detection Systems (IDS) act as the ‘‘second line of defense’’ placed inside a protected network, looking for known or potential threats in network traffic and/or audit data recorded by hosts. We developed an Intrusion Detection System using LAMSTAR neural network to learn patterns of normal and intrus...

Cloud computing has become an attractive target for attackers as the mainstream technologies in the cloud, such as the virtualization and multitenancy, permit multiple users to utilize the same physical resource, thereby posing the so-called problem of internal facing security. Moreover, the traditional network-based intrusion detection systems (IDSs) are ineffective to be deployed in the cloud...

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...