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Open AccessJournal ArticleDOI

A model of data forwarding in MANETs for lightweight detection of malicious packet dropping

Leovigildo Sánchez-Casado, +3 more
- 20 Jul 2015 - 
- Vol. 87, Iss: 87, pp 44-58
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TLDR
This work introduces a model of data forwarding in MANETs which is used for recognizing malicious packet dropping behaviors and proposes an anomaly-based IDS system based on an enhanced windowing method to carry out the collection and analysis of selected cross-layer features.
About: 
This article is published in Computer Networks.The article was published on 2015-07-20 and is currently open access. It has received 27 citations till now. The article focuses on the topics: Network packet.

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Journal ArticleDOI

An intelligent intrusion detection and performance reliability evaluation mechanism in mobile ad-hoc networks

Mahendra Prasad, +2 more
- 01 Mar 2023 - 
TL;DR: In this paper , the authors present deployment of the network, data generation, sample labeling, feature extraction, an intrusion detection method, and a performance reliability evaluation model, and evaluate intrusion detection mechanisms and provide a comparative analysis with an approximate performance as scheme reliability.
Journal ArticleDOI

Accurate detection of user interest data in cloud computing environment

Qiang Yu, +1 more
- 01 Jan 2019 - 
TL;DR: The proposed method of user interest data detection in cloud computing environment based on spatial autocorrelation and differential evolution theory has high detection accuracy and greatly improves the quality of data management in the cloud Computing environment.
Proceedings ArticleDOI

A Comprehensive Analysis of Packet Loss in MANETs

Muhammad Saleem Khan, +3 more
TL;DR: This work analyzes the reasons behind packet loss in MANETs comprehensively under different network scenarios and investigates the effect of different network parameters, such as mobility, data rate, and congestion on packet loss.
Journal ArticleDOI

Mobility prediction for random walk mobility model using ARIMA in mobile ad hoc networks

Prasannavenkatesan Theerthagiri
- 06 May 2022 - 
Book ChapterDOI

An Efficient Outlier Detection Mechanism for RFID-Sensor Integrated MANET

Adarsh Kumar, +1 more
TL;DR: The proposedOutlier detection scheme is multi-filtered, outlier stage outlier detection approach for resource constrained devices and networks, which shows cluster stability of 61% (approax.).
References
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Book

Wireless Communications: Principles and Practice

Theodore S. Rappaport
TL;DR: WireWireless Communications: Principles and Practice, Second Edition is the definitive modern text for wireless communications technology and system design as discussed by the authors, which covers the fundamental issues impacting all wireless networks and reviews virtually every important new wireless standard and technological development, offering especially comprehensive coverage of the 3G systems and wireless local area networks (WLANs).

Ad hoc On-Demand Distance Vector (AODV) Routing

Charles E. Perkins, +2 more
TL;DR: A logging instrument contains a pulsed neutron source and a pair of radiation detectors spaced along the length of the instrument to provide an indication of formation porosity which is substantially independent of the formation salinity.

Dynamic Source Routing in Ad Hoc Wireless Networks.

David B. Johnson, +1 more
TL;DR: In this article, the authors present a protocol for routing in ad hoc networks that uses dynamic source routing, which adapts quickly to routing changes when host movement is frequent, yet requires little or no overhead during periods in which hosts move less frequently.
Book ChapterDOI

Dynamic Source Routing in Ad Hoc Wireless Networks

David B. Johnson, +1 more
TL;DR: This paper presents a protocol for routing in ad hoc networks that uses dynamic source routing that adapts quickly to routing changes when host movement is frequent, yet requires little or no overhead during periods in which hosts move less frequently.
Proceedings ArticleDOI

Mitigating routing misbehavior in mobile ad hoc networks

Sergio Marti, +3 more
TL;DR: Two techniques that improve throughput in an ad hoc network in the presence of nodes that agree to forward packets but fail to do so are described, using a watchdog that identifies misbehaving nodes and a pathrater that helps routing protocols avoid these nodes.
Related Papers (5)

Prevention of selective black hole attacks on mobile ad hoc networks through intrusion detection systems

Ming-Yang Su
- 01 Jan 2011 - 

An intrusion detection & adaptive response mechanism for MANETs

Adnan Nadeem, +2 more

Preventing malicious packet dropping nodes in MANET using IFHM based SAODV routing protocol

K. Vanitha, +1 more
- 01 Nov 2019 - 

Reputation based malicious node detection in OppNets

Asma'a Ahmad, +2 more

Detecting Malicious Packet Dropping in the Presence of Collisions and Channel Errors in Wireless Ad Hoc Networks

Thaier Hayajneh, +3 more
Frequently Asked Questions (2)
Q1. What have the authors contributed in "A model of data forwarding in manets for lightweight detection of malicious packet dropping" ?

This work introduces a model of data forwarding in MANETs which is used for recognizing malicious packet dropping behaviors. Second, the authors propose an anomaly-based IDS system based on an enhanced windowing method to carry out the collection and analysis of selected crosslayer features. The authors evaluate their proposal in a simulation framework and the experimental results show a considerable enhancement in detection results when compared with other approaches in the literature. Third, a real deployment of the IDS is also considered by suggesting a methodology for the collection of the selected features in a distributed manner. 

Different schemes can be analyzed for that, e. g., obtaining an average of previous AC CE PT ED M AN US CR IP T threshold values, computing the threshold as a function of the mobility speed, etc. • Finally, the authors are planning to extend their approach to include an attack model where several nodes work in collusion to evade the detection process.