8 research outputs found

    A survey on mitigation methods to Black hole Attack on AODV routing protocol

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    AODV is a routing protocol that is designed for MANETs and it is using the on-demand routing method to establish the routes between nodes. The main benefit of this protocol is establishment of desired routes to destination when the source node requires and it keeps the routes as long as they are needed. The black hole attack is a common attack that can be accrued in AODV protocols. In this kind of attack, the attacker uses of one or more malicious nodes which advertise themselves in the network by setting a zero metric to all the destinations that causes all the nodes toward the data packets to these malicious nodes. The AODV is vulnerable against black hole attacks due to having network centric property, where all the nodes have to share their routing tables for each other. In this paper, we present the survey of existing mitigation methods that have been proposed to secure AODV. Keywords: Mobile Ad hoc Network (MANET); Black hole attack; Cooperative Black hole attack; Ad-hoc On-demand Distance Vector (AODV)

    An Enhanced AODV Protocol for Avoiding Black Holes in MANET

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    © 2018 The Authors. Published by Elsevier Ltd. Black hole attack is one of the well-known attacks on Mobile Ad hoc Networks, MANET. This paper discusses this problem and proposes a new approach based on building a global reputation system that helps AODV protocol in selecting the best path to destination, when there is more than one possible route. The proposed protocol enhances the using of watchdogs in AODV by collecting the observations and broadcasting them to all nodes in the network using a low overhead approach. Moreover, the proposed protocol takes into account the detection challenge when a black hole continuously moves

    A Model of Data Forwarding in MANETs for Lightweight Detection of Malicious Packet Dropping

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    This work introduces a model of data forwarding in MANETs which is used for recognizing malicious packet dropping behaviors. First, different legitimate packet discard situations are modeled, such as those generated by collisions, channel errors or mobility related droppings. Second, we propose an anomaly-based IDS system based on an enhanced windowing method to carry out the collection and analysis of selected crosslayer features. 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. We evaluate our proposal in a simulation framework and the experimental results show a considerable enhancement in detection results when compared with other approaches in the literature. For instance, our scheme shows a 22% improvement in terms of true positives rate and a remarkable 83% improvement in terms of false positives rate when compared to previous well-known statistical solutions. Finally, it is notable the simplicity and lightweightness of the proposal

    Spartan Daily, February 23, 1977

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    Volume 68, Issue 14https://scholarworks.sjsu.edu/spartandaily/6168/thumbnail.jp

    Spartan Daily, February 23, 1977

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    Volume 68, Issue 14https://scholarworks.sjsu.edu/spartandaily/6168/thumbnail.jp

    Struggling against selfishness and black hole attacks in MANETs

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    Since mobile ad hoc networks (MANETs) are infrastructureless and multi-hop by nature, transmitting packets from any node to another usually relies on services provided by intermediate nodes. This reliance introduces a new vulnerability; one node could launch a Black Hole DoS attack by participating in the routing protocol and including itself in routes, then simply dropping packets it receives to forward. Another motivation for dropping packets in self-organized MANETs is resource preservation. Some solutions for detecting and isolating packet droppers have been recently proposed, but almost all of them employ the promiscuous mode monitoring approach (watchdog (WD)) which suffers from many problems, especially when employing the power control technique. In this paper we propose a novel monitoring approach that overcomes some WD's shortcomings, and improves the efficiency in detection. To overcome false detections due to nodes mobility and channel conditions we propose a Bayesian technique for the judgment, allowing node redemption before judgment. Finally, we suggest a social-based approach for the detection approval and isolation of guilty nodes. We analyze our solution and asses its performance by simulation. The results illustrate a large improvement of our monitoring solution in detection versus the WD, and an efficiency through our judgment and isolation techniques as well. Copyright © 2007 John Wiley & Sons, Ltd

    \u3ci\u3eHistorical and descriptive account of Persia, from the earliest ages to the present time : with a detailed view of its resources, government, population, natural history, and the character of its inhabitants, particularly of the wandering tribes, including a description of Afghanistan and Beloochistan\u3c/i\u3e

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    The book includes a chapter on Afghanistan in which the author writes about he history of the country from the dethronement of Shah Shuja to the adventures of Fateh Khan. For the account of Afghanistan he used the work of Mr. Elphinstone, as well as, the facts communicated to him while in Khorasan
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