381 research outputs found
A Survey on Intrusion Detection System in MANET
A mobile ad hoc network is an infrastructure less network which is prone to various malicious attacks when incorporated in applications. It is a dreadful task for attaining security to the greatest degree in MANET. This is awaited to the diverse characteristics of mobile ad hoc networks which unlike from well-established infrastructure network. In order to overcome this security challenges the Intrusion detection systems have been deployed in the ad hoc network. In this paper we focus on surveying heterogeneous intrusion detection systems used in MANET for defending various attacks
RSU-Based Online Intrusion Detection and Mitigation for VANET
Secure vehicular communication is a critical factor for secure traffic
management. Effective security in intelligent transportation systems (ITS)
requires effective and timely intrusion detection systems (IDS). In this paper,
we consider false data injection attacks and distributed denial-of-service
(DDoS) attacks, especially the stealthy DDoS attacks, targeting the integrity
and availability, respectively, in vehicular ad-hoc networks (VANET). Novel
statistical intrusion detection and mitigation techniques based on centralized
communications through roadside units (RSU) are proposed for the considered
attacks. The performance of the proposed methods are evaluated using a traffic
simulator and a real traffic dataset. Comparisons with the state-of-the-art
solutions clearly demonstrate the superior performance of the proposed methods
in terms of quick and accurate detection and localization of cyberattacks
Security and Privacy Issues in Wireless Mesh Networks: A Survey
This book chapter identifies various security threats in wireless mesh
network (WMN). Keeping in mind the critical requirement of security and user
privacy in WMNs, this chapter provides a comprehensive overview of various
possible attacks on different layers of the communication protocol stack for
WMNs and their corresponding defense mechanisms. First, it identifies the
security vulnerabilities in the physical, link, network, transport, application
layers. Furthermore, various possible attacks on the key management protocols,
user authentication and access control protocols, and user privacy preservation
protocols are presented. After enumerating various possible attacks, the
chapter provides a detailed discussion on various existing security mechanisms
and protocols to defend against and wherever possible prevent the possible
attacks. Comparative analyses are also presented on the security schemes with
regards to the cryptographic schemes used, key management strategies deployed,
use of any trusted third party, computation and communication overhead involved
etc. The chapter then presents a brief discussion on various trust management
approaches for WMNs since trust and reputation-based schemes are increasingly
becoming popular for enforcing security in wireless networks. A number of open
problems in security and privacy issues for WMNs are subsequently discussed
before the chapter is finally concluded.Comment: 62 pages, 12 figures, 6 tables. This chapter is an extension of the
author's previous submission in arXiv submission: arXiv:1102.1226. There are
some text overlaps with the previous submissio
Data analytics methods for attack detection and localization in wireless networks
Wireless ad hoc network operates without any fixed infrastructure and centralized administration. It is a group of wirelessly connected nodes having the capability to work as host and router. Due to its features of open communication medium, dynamic changing topology, and cooperative algorithm, security is the primary concern when designing wireless networks. Compared to the traditional wired network, a clean division of layers may be sacrificed for performance in wireless ad hoc networks. As a result, they are vulnerable to various types of attacks at different layers of the protocol stack. In this paper, I present real-time series data analysis solutions to detect various attacks including in- band wormholes attack in the network layer, various MAC layer misbehaviors, and jamming attack in the physical layer. And, I also investigate the problem of node localization in wireless and sensor networks, where a total of n anchor nodes are used to determine the locations of other nodes based on the received signal strengths. A range-based machine learning algorithm is developed to tackle the challenges --Abstract, page iii
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