# Cluster Based Cost Efficient Intrusion Detection System For Manet

**Authors:** Saravanan Kumarasamy, Hemalatha B, Hashini P  
**arXiv:** [1311.1446](https://arxiv.org/abs/1311.1446)  
**Date:** 2013-11-06  
**Summary page:** https://www.summarizepaper.com/en/paper/1311.1446v1/

## Key points

- Cluster-based intrusion detection systems in MANETs
- Use of anomaly and signature-based techniques for intrusion detection
- Importance of intrusion detection techniques in identifying network attacks
- Two types of intrusion detection systems: anomaly detection and signature-based detection models
- Placing intrusion detection applications on a set of nodes within the network
- Grouping nodes into clusters with leader nodes assigned for each cluster
- Optimization of leader election and intrusion detection processes considering resource sharing and lifetime management
- Optimization of clustering scheme based on coverage and traffic level considerations
- Management of node mobility to ensure effective intrusion detection
- Aim to enhance security in temporary wireless networks while efficiently managing resources and costs

## Summary

The paper titled "Cluster Based Cost Efficient Intrusion Detection System For Manet" by Saravanan Kumarasamy, Hemalatha B, and Hashini P explores the use of cluster-based intrusion detection systems in mobile ad-hoc networks (MANETs). MANETs are temporary wireless networks that are susceptible to abnormal resource consumption by intruders. To address this issue, the authors propose the use of anomaly and signature-based techniques for intrusion detection. Anomaly-based techniques involve using classification techniques to detect abnormal network behavior. The authors highlight the importance of intrusion detection techniques in identifying network attacks. They discuss two types of intrusion detection systems: anomaly detection and signature-based detection models. The anomaly detection model utilizes historical transactions with attack labels to identify anomalies, while the signature database is used in signature-based IDS schemes. In a MANET environment, where there is no infrastructure, the authors suggest placing intrusion detection applications on a set of nodes within the network. These nodes are then grouped into clusters, with leader nodes assigned for each cluster. The leader nodes play a crucial role in initiating the intrusion detection process. The system optimizes leader election and intrusion detection processes by considering factors such as resource sharing and lifetime management. Furthermore, the clustering scheme is optimized based on coverage and traffic level considerations. This optimization helps control costs and resource utilization within the clusters. Additionally, node mobility is managed by the system to ensure effective intrusion detection. Overall, this paper presents a detailed exploration of cluster-based cost-efficient intrusion detection systems for MANETs. By utilizing anomaly and signature-based techniques along with optimized clustering schemes, this approach aims to enhance security in temporary wireless networks while efficiently managing resources and costs.