Light-weight trust-based routing protocol for mobile ad hoc networks

Marchang, Ningrinla; Datta, Raja

doi:10.1049/iet-ifs.2010.0160

Cited by 126 publications

(82 citation statements)

References 15 publications

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“…Typically, the wireless node monitors neighbor node activity such as "packet forwarding", "packet drop", and "network link for successful packet delivery", however, these activities do not define node behavior. In [16], the authors discussed the effect of indirect observations on node propagation. A malicious node can lower the reliability of a normal node by propagating a negative message, while at the same time it can even recover node trust propagating a positive message also.…”

Section: Role Of Node Behavior For Trust Changesmentioning

confidence: 99%

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A Reliable Trustworthy Approach Based on Node Behavior Prediction for Secure Routing in MANET

Sridevi¹,

Mandapati²

2017

IJIES

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An unstructured version of a traditional wireless network provides a mobile ad hoc network (MANET) that is well suited for emergencies. However, due to lack of infrastructure and resource limitations, many performance problems occur at the same time. High-security vulnerabilities are likely to arise, largely because of dynamic behavior, and the complete communication cycle dependent on unidentified nodes which join and leaves as they want. Several past security schemes studies suggested that reliable and trusted nodes can minimize communication overhead and achieve higher throughput. This kind of scheme affects the route chosen for communication because it cannot distinguish between intentional and unintentional errors at runtime. It is, therefore, important to categorize node activities and also provide a node recovery scheme to regain their original reliability for the genuine nodes. In this paper, we propose a Reliable Trustworthy Approach (RTA) based on node behavior prediction for secure routing. It presents a behavior prediction algorithm for recognizing node behavior by differentiating among the unintentional transient errors and intentional malicious behavior, and the RTA mechanism which provides a method for node trust computation and a method for trust recovery. Experiment results show throughput improvisation against the malicious node intrusion. With increasing, malicious nodes in network RTA mechanism effectively predicted with an optimal packet loss and delay it attained prove the effectiveness of the mechanism.

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Section: Role Of Node Behavior For Trust Changesmentioning

confidence: 99%

“…Negative behavior nodes are isolated due to low trust and new untrusted nodes cannot join the network, so no new behavior is observed and the scope of node recovery is limited [16,21]. Marchang et al [3] propose an efficient plan for analyzing and optimizing the duration that IDS must remain active in MANET.…”

Section: Role Of Node Behavior For Trust Changesmentioning

confidence: 99%

A Reliable Trustworthy Approach Based on Node Behavior Prediction for Secure Routing in MANET

Sridevi¹,

Mandapati²

2017

IJIES

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“…As node 7 and node n r are neighbors (or in general node 7 have a route to n r ), node 7 sends a RREP, thus source node S receives 2 RREP and for CBDS it means there is malicious node(s) in the network so initiate second phase to detect the hypothetical malicious node. Therefore, the source node sends a RREQ' and in response receives P={S-1-2-3-4-5-6-7-n r } and K ′ i sets (6) and calculate S list (7) and T lists (8).…”

Section: Decrease False-positive Ratementioning

confidence: 99%

“…For example some mechanism works based on Intrusion Detection Systems (IDS) [4] and some nodes in the network play IDS role which is based on MANET specifications, IDS with dynamic hierarchical structure is a good choice [5]. Some other mechanisms are Trust Based [6][7][8][9], which is based on nodes' history and observation each node earns a trust level that is used for routing and detection. Usually these methods are more vulnerable to grayhole attacks.…”

Section: Introductionmentioning

confidence: 99%

Improved McBDS for Defending Against Gray Hole and Black Hole Attacks in Manets

Haghighi

Mizanian

Mirjalily

2016

Adv. Sci. Technol. Res. J.

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Mobile Ad-hoc Networks (MANETs) are widely used nowadays. Because of their characteristics as open media, dynamic topology, being infrastructure-less and lack of centralized monitoring, MANET is vulnerable to a wide range of attacks like blackhole and grayhole. Blackhole and grayhole attacks refer to the attacks that breach the security by performing packet forwarding and routing misbehavior and cause denial of service in MANETs. In this paper we improved our previous work on MCBDS, we reduced false-positive rate more than before and on average it dropped to zero. The proposed method employs Network Simulator-2 (NS-2) to validate the effectiveness under different scenarios. Simulation results show that improved MCBDS has same performance as CBDS in terms of throughput and endto-end delay and as much as the presence of malicious nodes increased, improved MCBDS performs better than CBDS.

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“…In view of the malicious node attack in WSNs, the trust model-based management mechanism is proven to be a popular and effective method [7]. Besides, trust evaluation model has low computation and communication load, which demonstrate a significant advantage in respect of solving the internal attacks and identifying the malicious nodes [8].…”

Section: Introductionmentioning

confidence: 99%

An emerging intelligent optimization algorithm based on trust sensing model for wireless sensor networks

Wang

Zhang

Shu

2018

J Wireless Com Network

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Due to the limitation of battery power, processing capacity, and storage, the sensor nodes are easy to be captured, destroyed, or attacked in an open environment. As a result, the security and reliability of data transmission cannot be guaranteed. In order to resist the internal attacks from malicious nodes, an ant colony optimization algorithm for secured routing based on trust sensing model (ACOSR) in wireless sensor networks is proposed. Firstly, a reliable evaluation model of trust perception is presented, which can estimate the node's trust value derived from its behavior to identify or isolate the malicious nodes effectively. The penalty function and regulator function are applied to reflect the effect of state changes on the trust value according to the node's behavior in the process of the communication. Secondly, the trust evaluation model is introduced into the ant colony routing algorithm to improve the security for data forwarding. The simulation results show that the proposed algorithm has improved the performance significantly in terms of packet loss rate, end to end delay, throughput, and energy consumption and demonstrates good resistance to black hole attack.

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Light-weight trust-based routing protocol for mobile ad hoc networks

Cited by 126 publications

References 15 publications

A Reliable Trustworthy Approach Based on Node Behavior Prediction for Secure Routing in MANET

A Reliable Trustworthy Approach Based on Node Behavior Prediction for Secure Routing in MANET

Improved McBDS for Defending Against Gray Hole and Black Hole Attacks in Manets

An emerging intelligent optimization algorithm based on trust sensing model for wireless sensor networks

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