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

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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.
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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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Citations
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Journal ArticleDOI

BD-VTE: A Novel Baseline Data Based Verifiable Trust Evaluation Scheme for Smart Network Systems

TL;DR: An active trust verification mechanism is innovatively proposed in the VTE mechanism, which evaluates the trust of MVs by sending UAVs to perceive IoT devices data as baseline data, which is a fundamental change to the previous passive and unverifiable trust mechanism.
Journal ArticleDOI

Intelligent agents defending for an IoT world: A review

TL;DR: 2020 is anticipated as the turning point where deployments become common, not merely just a topic of conversation but where the need for collective, intelligent detection agents work across all layers of the IoT becomes a reality.
Journal ArticleDOI

Localized Secure Routing Architecture Against Cooperative Black Hole Attack in Mobile Ad Hoc Networks

TL;DR: A novel technique using Localized Secure Architecture for MANET (LSAM) routing protocol is proposed to detect and prevent co-operative black hole attack and it is shown that the proposed protocol is more secured and efficient.
Journal ArticleDOI

An active and verifiable trust evaluation approach for edge computing

TL;DR: An Active and Verifiable Trust Evaluation (AVTE) approach is proposed to identify the credibility of IoT devices, so to ensure reliable data collection for Edge Computing with low cost and theoretical analysis shows that AVTE approach can improve the data collection rate by 0.5 ~ 23.16% while ensuring long network lifetime compared with the existing scheme.
Journal ArticleDOI

A stochastic approach for packet dropping attacks detection in mobile Ad hoc networks

TL;DR: A fully decentralized mechanism that allows a node to monitor and detect neighbors that are malicious even if they have a changing behavior, based on a Bernoulli Bayesian model for nodes behavior classification and a Markov chain model for behavior evolution tracking is proposed.
References
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Journal ArticleDOI

Inner-Circle Consistency for Wireless Ad Hoc Networks

TL;DR: This paper proposes and evaluates strategies to build reliable and secure wireless ad hoc networks by combining statistical and security techniques with application-aware checks to exploit the data/computation that is partially and naturally replicated in wireless applications.
Journal ArticleDOI

A survey of evaluation platforms for ad hoc routing protocols

TL;DR: A survey covering current state-of-the-art evaluation platforms in the domain of ad hoc routing protocols paying special attention to the resilience dimension is provided.
Proceedings ArticleDOI

An Efficient Cross-Layer Approach for Malicious Packet Dropping Detection in MANETs

TL;DR: A novel IDS approach for detecting malicious packet dropping behaviors in MANETs by means of a heuristic which considers the operation of the forwarding process at the nodes, which results in a significant improvement in the detection performance of the system.
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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.