An Intrusion Detection System for Suburban Ad-hoc Networks

Islam, Muhammad Mahmudul; Pose, Ronald; Kopp, Carlo

doi:10.1109/tencon.2005.300979

Cited by 8 publications

(8 citation statements)

References 21 publications

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“…Thus, even though the idea of integrated detection and response model seems feasible, it appears that the implementation and simulation have not been conducted. Similarly, few related IDA models propose response actions/frameworks for responding to the attacks once it is detected [57][58][59][60][61][62][63][64][65]. However the response system incorporating all those actions is not implemented.…”

Section: Review Of Manet Intrusion Response Securitymentioning

confidence: 99%

Classification and Review of Security Schemes in Mobile Computing

Kumar¹

2010

WSN

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In this paper, we present the classification and review of security schemes in mobile computing system. We classify these schemes based on types the infrastructure used in the mobile computing system-Mobile Ad Hoc Networks (MANET) and Mobile Agent model. Mobile Ad Hoc Networks are pervasive, ubiquitous and without any centralized authority. These unique characteristics, combined with ever-increasing security threats, demand solutions in securing ad hoc networks prior to their deployment in commercial and military applications. This paper reviews the prevailing mobile ad hoc network security threats, the existing solution schemes, their limitations and open research issues. We also explain the Intrusion detection and response technique as an alternate method to protect the MANET based mobile computing systems and their approaches. A literature review of important existing Intrusion Detection approaches and Intrusion Response Approaches for MANET is also presented. This paper also presents the limitations of existing Intrusion Detection and Response Approaches for MANET and open research issues in providing MANET security. With respect to Mobile Agent based mobile computing system, we have presented the classification of various types of security attacks in Mobile Agent based model and presented the security solutions for those type of attacks proposed by the various schemes and the open research issues in providing security for Mobile Agent based mobile computing system. Such classification enhances the understanding of the proposed security schemes in the mobile computing system, assists in the development and enhancement of schemes in the future and helps in choosing an appropriate scheme while implementing a mobile computing system.

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Section: Review Of Manet Intrusion Response Securitymentioning

confidence: 99%

Classification and Review of Security Schemes in Mobile Computing

Kumar¹

2010

WSN

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“…Important Characteristics: Each node deviates from its velocity (both speed and direction) randomly from that of the leader. The movement in group mobility can be characterized as follows: (2) where 0 < ADR, SDR < 1. SDR is the Speed Deviation Ratio and ADR is the Angle Deviation Ratio.…”

Section: B Random Point Group Mobility (Rpgm)mentioning

confidence: 99%

“…Thus the network's wireless topology may be unpredictable and change rapidly. Minimal configuration, quick deployment and absence of a central governing authority make ad hoc networks suitable for emergency situations like natural disasters, military conflicts, emergency medical situations etc [1] [2]. Many previous studies have used Random Wayward Mobility as reference model [3] [4].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Dynamic Source Routing and Destination-Sequenced Distance-Vector Protocols for Different Mobility Models

Divecha

Abraham

Groşan

et al. 2007

First Asia International Conference on Modelling &Amp; Simulation (AMS'07)

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A Mobile Ad-Hoc Network (MANET) is self-configuring network of mobile nodes connected by wireless links to form an arbitrary topology without the use of existing infrastructure. In this paper, we have studied the effects of various mobility models on the performance of two routing protocols Dynamic Source Routing (DSR-Reactive Protocol) and Destination-Sequenced Distance-Vector (DSDV-Proactive Protocol). For experiment purposes, we have considered four mobility scenarios: Random Wayward Mobility, Group Mobility, Freeway and Manhattan models. These four Mobility Models are selected to represent the possibility of practical application in future. Performance comparison has also been conducted across varying node densities and number of hops. Experiment results illustrate that performance of the routing protocol varies across different mobility models, node densities and length of data paths.

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“…The use of voting to make end-to-end path measurements resilient to injection of bogus data appears to be unique to our detector. Nevertheless this notion may have broader potential value for increasing the Byzantine resistance of network path measurement techniques used in other intrusion detection approaches [10] [12], as well as network fault localization [20] and network tomography [8].…”

Section: Introductionmentioning

confidence: 99%