Information security and Intrusion Detection System (IDS) plays a critical role in the Internet. IDS is an essential tool for detecting different kinds of attacks in a network and maintaining data integrity, confidentiality and system availability against possible threats. In this paper, a hybrid approach towards achieving high performance is proposed. In fact, the important goal of this paper ...

predicting different behaviors in computer networks is the subject of many data mining researches. providing a balanced intrusion detection system (ids) that directly addresses the trade-off between the ability to detect new attack types and providing low false detection rate is a fundamental challenge. many of the proposed methods perform well in one of the two aspects, and concentrate on a su...

Due to the prevalence of Wireless Sensor Networks (WSNs) in the many mission-critical applications such as military areas, security has been considered as one of the essential parameters in Quality of Service (QoS), and Intrusion Detection System (IDS) is considered as a fundamental requirement for security in these networks. This paper presents a lightweight Intrusion Detection System to prote...

Predicting different behaviors in computer networks is the subject of many data mining researches. Providing a balanced Intrusion Detection System (IDS) that directly addresses the trade-off between the ability to detect new attack types and providing low false detection rate is a fundamental challenge. Many of the proposed methods perform well in one of the two aspects, and concentrate on a su...

In the real time Intrusion Detection system, the main confront is to detect the Anomaly Intrusion Detection system Model with ADWIN change Detector. intrusion detection system, that utilizes machine learning techniques such as single classifier and hybrid build the model was decreased and the detection. Intrusion Detection System (IDS) to detect and prevent cybercrimes to protect these The prop...

This paper analysis and criticizes the way of using, functioning the intrusion detection system in data mining. Understanding the techniques. A survey on Data Mining based Intrusion Detection Systems phase, intrusion detection system is studied. are analysed using any network administrator. 1Data Mining and Optimization Research Group (DMO), Centre for Artificial Intrusion Detection System (IDS...

high processing loads, need for complicated and frequent updating, and high false alarm are some of the challenges in designing anomaly detection and misuse detection systems. we propose a new network-based intrusion detection system (ids) that resolves such shortcomings. our scheme fuses anomaly detection and misuse detection systems, which has not been utilized so far in existing systems. in ...

Due to many inherent deficiencies and flaws, current intrusion detection systems (IDS) are plagued by numerous problems. Intrusion Detection Systems are often inefficient and ineffective when used alone. IDS products need to be fully integrated into the security defense line. Intrusion alert analysis and management are crucial in achieving this. In this paper, we describe an intrusion detection...

In the field of Information technology security plays a vital role. Unauthorized entries or any anomalies in system are known as intrusion and detection of these anomalies are known as Intrusion Detection System (IDS). As the attacks have increased in huge numbers over the past few years, IDS is increasingly becoming a critical component to secure the network. Designing of an efficient Intrusio...