Defining Malicious Behavior of a Node and its Defensive Methods in Ad Hoc Network

Saini, Radhika; Khari, Manju

doi:10.5120/2422-3251

Cited by 19 publications

(15 citation statements)

References 9 publications

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“…Security and reliability are two major challenges for successful communication in wireless networks. A reliable network must be able to cope with the malicious behaviour [5] of these components. The authors in [6], developed a computer system by introducing the communication between loyal and disloyal generals through a messenger.…”

Section: Review Of Related Workmentioning

confidence: 99%

Error Correction at Malicious Nodes using Reed-Muller Codes

Challa¹,

Isuru²,

Rao³

2016

IJCA

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In the network several problems are caused due to the presence of malicious nodes. It is very important to find the malicious nodes in the network in order to eliminate the problems caused by those nodes. This paper proposes a model where Reed-Muller codes are used to find the locations of the malicious nodes and calculate the probability that a node is malicious. Based on the probability of each malicious node, the system localizes or discards the nodes which have higher error probability. Sometimes removal of a malicious node causes breakage of network into parts i.e. if it is an articulation point. It leads to the reconstruction of the network. This reconstruction process is very complex and expensive. In this case, such nodes cannot be discarded. To avoid the reconstruction of the network an algorithm is proposed to handle the malicious activity caused by an articulation point. Message tampering is the frequently occurred malicious activity in most of the networks when the communication takes place between source and destination. To handle message tampering at articulation points, this system performs error correction using Reed-Muller decoding algorithm. KeywordsCoding Theory, Error Control Codes, Malicious Behaviour, Reed-Muller Codes.In the existing technique [2], if there is any node having more probability to become malicious then the node can be localized and discarded. Removal of such malicious node gives trouble to the network when it is an articulation point.Here the most important issue is what happened to the network if it discards that kind of malicious node. If it discards the articulation point then the network behaves like previous or it loses some connections between the nodes is another question. If it deletes that node then reconstruction of entire network is required and this operation is expensive and time consuming. Moreover, there is no guarantee to get the same network with all supportive paths after reconstruction.

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Section: Review Of Related Workmentioning

confidence: 99%

Error Correction at Malicious Nodes using Reed-Muller Codes

Challa¹,

Isuru²,

Rao³

2016

IJCA

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“…ASRP is used to provide powerful security extensions to reactive AODV protocol based on modified secure remote password protocol and Deffie-Hellman (DH) algorithm. Radhika Saini et al [7] have presented the malicious behavior of the node and security solution to defend such behavior. Security solutions include cryptography, protocols, Intrusion Detection System (IDS) and Trusted Third Party (TTP).…”

Section: Literature Surveymentioning

confidence: 99%

Detecting and Preventing Attacks in MANET

Arora¹,

Singh²,

Rani³

2013

IJCA

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MANET network is a type of decentralized network and is high vulnerable network which requires secure communication.A significant security issue in manet is to protect the network layer from malicious nodes that misbhaves often to obtain the data that is not broadcasted for them i.e gray hole attacks aka selective forwarding attack that leads to denial of service attack(DoS) .In this paper The overall objective is to find the nodes which frequently misbehaves and based upon their miss ratio they will be eliminated from the network. The proposed strategy does not allow unauthorized nodes to access the data frames multicast by the initiators. The proposed strategy is designed and implemented in MATLAB using mathematics toolbox. The experimental results have shown significant improvement in detecting the malicious nodes. General TermsAttacks in MANET.

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“…The types of some malicious behavioursof a node are packet drop, battery drained, delay of packet, stale packets, link break, message tampering, bandwidth consumption, stealing information, buffer overflow, malicious node entering, denying from sending message, node not available, session capturing and others [2] …”

Section: B Normal Node Vs Misbehaviour Nodementioning

confidence: 99%

“… Normal node The security purpose in any network is to maintain the security principles of the network which are confidentiality, availability, integrity, authenticity and non-repudiation [2], if any node in the network manages to maintain all these principles then that node is considered as a normal node.…”

Section: B Normal Node Vs Misbehaviour Nodementioning

confidence: 99%

Detectionand Preventionof Malicious Node Based on Node Behaviour in Manet

Fabrice¹

2017

ijarcs

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Abstract:The performance of MANET relies on its security. In order to implement MANET network, security issue has to be taken into consideration. As it has been proved by so many studies, MANET is highly vulnerable to so many kinds of attacks due to its characteristics. MANET performance relies completely on the security provided by the network developer. Many researchers are doing research to overcome the loop holes in the security of MANET by implementing lot of techniques and mechanisms. One of the techniques thatis used by the researchers is to detect and prevent the malicious node which is based on node behaviours. There is no single security mechanism that can fit to all networks due to scalability and effectiveness nature of MANET. The use of encryption and authentication system are not sufficient because they can be broken easily therefore by giving chances to different kinds of attack to penetrate in the network. A second level of defence is imminently needed in order to improve the network performance. This paper reviews recent research studies that use node behaviour analysis to detect and isolate malicious node from the network. The goal of this review paper is to find out which study is more effective than others.

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Defining Malicious Behavior of a Node and its Defensive Methods in Ad Hoc Network

Cited by 19 publications

References 9 publications

Error Correction at Malicious Nodes using Reed-Muller Codes

Error Correction at Malicious Nodes using Reed-Muller Codes

Detecting and Preventing Attacks in MANET

Detectionand Preventionof Malicious Node Based on Node Behaviour in Manet

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