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Open AccessJournal ArticleDOI

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

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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Book ChapterDOI

A Collaborative Bayesian Watchdog for Detecting Black Holes in MANETs

TL;DR: A collaborative approach for detecting black holes and selfish nodes in MANETs is proposed, using a set of watchdogs which collaborate to enhance their individual and collective performance and the detection time of misbehaved nodes is reduced and the overall accuracy increased.
Proceedings ArticleDOI

A Novel Architecture of Intrusion Detection System

TL;DR: It is shown that court like IDS is effective in many aspects, especially the capability to prevent malicious alerts and reduce false positive rate, and is applied in securing the Optimized Link State Routing protocol to solve two most severe attacks--link spoofing and link deletion.
Book

Wireless Ad Hoc and Sensor Networks: Management, Performance, and Applications

TL;DR: This book summarizes not only traditional and classical network management techniques, but also state-of-the-art techniques in this area of wireless sensor networks, including routing, data collection, data aggregation, and query processing.
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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.