A study of different types of attacks on multicast in mobile ad hoc networks

Nguyen, Ha; Nguyen, Uyen Trang

doi:10.1016/j.adhoc.2006.07.005

Cited by 111 publications

(68 citation statements)

References 13 publications

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“…Spoofing, jamming, wormhole, hello flood, DOS, sink hole, etc. are the examples of active attacks [72][73][74][75][76].…”

Section: Activementioning

confidence: 99%

“…This type of attack is performed by physical tampering of node, revelation of confidential information, causing denial of service to authorized node etc. [71][72][73][74][75].…”

Section: Internal Attackmentioning

confidence: 99%

“…External attacks are performed by jamming the network, exhausting the resources or denial of service (DOS) [71][72][73][74][75].…”

Section: External Attackmentioning

confidence: 99%

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Wireless Sensor Network Based Smart Grid Communications: Cyber Attacks, Intrusion Detection System and Topology Control

et al. 2017

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Abstract:The existing power grid is going through a massive transformation. Smart grid technology is a radical approach for improvisation in prevailing power grid. Integration of electrical and communication infrastructure is inevitable for the deployment of Smart grid network. Smart grid technology is characterized by full duplex communication, automatic metering infrastructure, renewable energy integration, distribution automation and complete monitoring and control of entire power grid. Wireless sensor networks (WSNs) are small micro electrical mechanical systems that are deployed to collect and communicate the data from surroundings. WSNs can be used for monitoring and control of smart grid assets. Security of wireless sensor based communication network is a major concern for researchers and developers. The limited processing capabilities of wireless sensor networks make them more vulnerable to cyber-attacks. The countermeasures against cyber-attacks must be less complex with an ability to offer confidentiality, data readiness and integrity. The address oriented design and development approach for usual communication network requires a paradigm shift to design data oriented WSN architecture. WSN security is an inevitable part of smart grid cyber security. This paper is expected to serve as a comprehensive assessment and analysis of communication standards, cyber security issues and solutions for WSN based smart grid infrastructure.

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“…Spoofing, jamming, wormhole, hello flood, DOS, sink hole, etc. are the examples of active attacks [72][73][74][75][76].…”

Section: Activementioning

confidence: 99%

“…This type of attack is performed by physical tampering of node, revelation of confidential information, causing denial of service to authorized node etc. [71][72][73][74][75].…”

Section: Internal Attackmentioning

confidence: 99%

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Wireless Sensor Network Based Smart Grid Communications: Cyber Attacks, Intrusion Detection System and Topology Control

et al. 2017

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“…The wormhole infected group head mars the inter group and intra group communication. The pruning of group head is more complex because the associated group members have to be reassigned to a genuine group head availing the group service causing multicast tree reconfiguration [15].…”

Section: Figure 5: Wormhole Attack (Out Of Band Channel)mentioning

confidence: 99%

Weeding Wormhole Attack in MANET Multicast Routing Using Two Novel Techniques - LP3 and NAWA2

Rabara¹

2011

IJCA

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Mobile Adhoc Network (MANET) with its unique and special characteristics is prone to a host of security threats from within and outside the network. The MANET architecture is well suited for conducting multicast communications as this greatly reduces the number of multicast packets traversing the network. The replication of multicast packets by the intermediate downstream multicast router is demand based and is determined by the number of fresh receivers in the group. This greatly paves way for network resource optimization and a good trail of performance parameters like MPDR, Throughput, Jitter and Endto-End Delay. It is literally bogging down to construe a localized MANET as a single flat larger group. So the concept of orchestrating hierarchical group architecture within MANET dawned which led to the definition of Iolus framework. The hierarchical secure multicast distribution tree created within MANET backed by Iolus framework is prone to a array of attacks. One such prominent insider attack is wormhole attack where the two colluding adversaries conspire to short-circuit the flow of packets to a foreign network through an out-of-band high bandwidth link. The implication of this attack in unicast routing of MANET is less pronounced due to the limited number of participating entities. But this attack has a large telling effect on multicast routing as it involves multiple receivers and numerous intermediate multicast routers. The possibility of compromising the internal group node as a wormhole colluding agent is more common in multicast than in unicast. This threat marks an unprecedented intensity by divulging more faction of data thereby rendering the remedial process a huge flop. The real intent of the attacker is not to disrupt the multicast communication but in abetting the mass divulgence of multicast data to unauthorized group members. Two novel solutions viz., Limiting Packet Propagation Parameter (LP 3 ) and Neighbor Aware Wormhole Adversary Axing (NAWA 2 ) has been proposed to counter this menace.

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“…A mobile ad hoc network is a collection of mobile nodes communicating with the help of wireless links without any underlying centralized infrastructure or base station [2]. It is an adaptive self-configurable network so the mobile nodes can be deployed quickly.…”

Section: Introductionmentioning

confidence: 99%

Mitigation of Jellyfish Attack in AODV

Sharma¹

2017

IJRASET

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The rapid proliferation of wireless networks, deployment of many mobile computing devices and applications has changed the shape of network security. One such field which needs more security in comparison to wired networks is the mobile ad hoc network (MANET). The term "ad hoc" means self-organized nodes without any centralized infrastructure. In Jellyfish packet dropping attack, the attacking node attracts more data traffic by advertising themselves having the best path to other destinations in the network. Further, these jellyfish nodes selectively drop data packets degrading network throughput. This paper mainly focuses on jellyfish packet dropping attack, its consequences and proposes mechanism for detection & prevention of it in the context of AODV routing protocol. The simulations are carried on NS-2 simulator and performance is evaluated in terms of packet delivery ratio, throughput and routing overhead.

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A study of different types of attacks on multicast in mobile ad hoc networks

Cited by 111 publications

References 13 publications

Wireless Sensor Network Based Smart Grid Communications: Cyber Attacks, Intrusion Detection System and Topology Control

Wireless Sensor Network Based Smart Grid Communications: Cyber Attacks, Intrusion Detection System and Topology Control

Weeding Wormhole Attack in MANET Multicast Routing Using Two Novel Techniques - LP3 and NAWA2

Mitigation of Jellyfish Attack in AODV

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