Trust framework for attack resilience in MANET using AODV

Wadhwani, Ganesh Kumar; Khatri, Sunil Kumar; Mutto, S. K.

doi:10.1080/09720529.2020.1721885

Cited by 18 publications

(9 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A trust-based model [16] model was developed to create a network resilient to malevolent nodes. Trust was determined by the RREQ and RREP counter for identifying the malevolent nodes.…”

Section: Literature Surveymentioning

confidence: 99%

Protecting MANETs from Black and Gray Hole Attacks Through a Detailed Detection System

2022

IJIES

View full text Add to dashboard Cite

In mobile ad-hoc network (MANET), identification and mitigation of black and gray-hole attacks is a challenging task compared to the detection of other attacks. To solve this issue, a secure route discovery ad-hoc ondemand distance vector (SRD-AODV) protocol has been suggested, which verifies the nodes only during the path discovery. But, it is necessary to authenticate the nodes during data transmission since the gray-hole nodes broadcast an accurate target sequence number (TSN) during the route discovery, whereas it becomes malicious and drops the packets during the data forwarding. Hence in this article, a secure route maintenance and attack detection AODV (SRMAD-AODV) protocol is proposed for identifying and defending the black and gray-hole attacks in the data transfer stage. Initially, an attack discovery system (ADS) node is decided from the connected dominating set (CDS) method based on energy and confidence score. The CDS is a robust, distinct and localized method to identify nearby linked dominating sets of nodes in a limited range in MANETs. The selected ADS nodes forward a status packet within the size of the dominating set to retrieve the entire behavioral data. ADS nodes examine gathered behavioral data and create a blacklist in which the suspected black and gray-hole nodes are added. Then, the blacklist is forwarded to the origin node to confirm the susceptibility of nodes present in the blacklist. Once the origin node authenticates the blacklist, it broadcasts a block message to all other nodes in a path for discarding blacklist nodes from the routing path. Further, this SRMAD-AODV protocol is simulated and the findings exhibit that it realizes 5.2sec of end-to-end delay (EED) and 86 % of packet delivery ratio (PDR) in contrast to the SRD-AODV protocol.

show abstract

“…A trust-based model [16] model was developed to create a network resilient to malevolent nodes. Trust was determined by the RREQ and RREP counter for identifying the malevolent nodes.…”

Section: Literature Surveymentioning

confidence: 99%

Protecting MANETs from Black and Gray Hole Attacks Through a Detailed Detection System

2022

IJIES

View full text Add to dashboard Cite

show abstract

“…Wadhwani et al 15 proposed the routing capabilities in MANET with a compilation of random moving autonomous nodes. To create a flexible network to the malicious nodes.…”

Section: Related Workmentioning

confidence: 99%

QoS aware routing protocol using robust spatial gabriel graph based clustering scheme for ad hoc network

Sugitha¹,

Sivakumar

Hussain

2022

Concurrency and Computation

View full text Add to dashboard Cite

MANET (mobile ad hoc network) comprises of a set of wireless mobile node connected in a self-healing and self-configured network devoid of any fixed infrastructure.The cognitive radio (CR) in the MANET system has been developed for addressing the spectrum congestion issue. However, the existing techniques failed to solves the complex convex problem of channel assignment. To address this issue, the proposed protocol is designed. In the proposed scheme, both primary user (PU) and secondary user (SU) are clustered initially based on the graph theory process. After that, in each cluster, formation of robust spatial Gabriel graph (RS-GG) takes place at which the neighboring nodes are predicted by estimating the weighted end-to-end delay. Once the multi path decision-making condition is satisfied, the route path is established, and the communication takes place based on QoS constraint. This can lead to the enhancement of PDR, network connectivity maintenance and network lifetime. The performance analysis of the proposed methods is carried out for PDR, control overheads, energy consumption, and End-to-End delay and the analysis is compared with existing protocols to prove the effectiveness of proposed design. The simulation outcomes illustrate that the suggested strategy performs well and improves the data transmission.

show abstract

“…. The approach [14] proposed the routing capabilities in MANET with a compilation of random moving autonomous nodes. To create a exible network to the malicious nodes.…”

Section: Related Workmentioning

confidence: 99%

Qos Aware Routing Protocol Using Robust Spatial Gabriel Graph Based Custering Scheme for Adhoc Network

T.B

Hussain

Sugitha³

2022

Preprint

View full text Add to dashboard Cite

MANET (Mobile Ad hoc Network) comprises of a set of wireless mobile node connected in a self-healing and self-configured network devoid of any fixed infrastructure. The major challenge in this ad-hoc network is that the network should adapts the multicast interactions to the condition at which there is an occurrence of infinite flexibility and repeated failures. The cognitive radio (CR) in the MANET system has been developed for addressing this problem of spectrum congestion thereby enabling the cognitive users to utilize the spectrum that are underused in that way mitigating the interference among the users. Also, at the transmission process there is a problem of primary radio’s protection (PRs). In traditional approaches, the problem of transmission process is rectified by employing an optimal solution based on various algorithms and in turn reduces the PRs interference. However, the existing techniques failed to solves the complex convex problem of channel assignment. To address this issue, the proposed protocol is designed. In the proposed scheme, both primary user (PU) and secondary user (SU) are clustered initially based on the graph theory process. After that, in each cluster, formation of Robust spatial Gabriel Graph takes place at which the neighbouring nodes are predicted by estimating the weighted end-to-end delay approach. Once the multi path decision making condition is satisfied, the route path is established, and the communication takes place based on QoS constraint. This RS-GG can easily update their neighbouring list and is capable of adjusting the transmission power. This can lead to the improved rate of PDR, network connectivity maintenance and too enhances the network lifetime. The performance analysis of the proposed methods is carried out in terms of PDR, control overheads, energy consumption, and End-to-End delay and the analysis is compared with existing protocols to compare the variation and to prove the effectiveness of proposed protocol designed. The simulation outcomes illustrate that the suggested strategy performs well and improves the transmission of data with the best optimal solutions.

show abstract

Trust framework for attack resilience in MANET using AODV

Cited by 18 publications

References 14 publications

Protecting MANETs from Black and Gray Hole Attacks Through a Detailed Detection System

Protecting MANETs from Black and Gray Hole Attacks Through a Detailed Detection System

QoS aware routing protocol using robust spatial gabriel graph based clustering scheme for ad hoc network

Qos Aware Routing Protocol Using Robust Spatial Gabriel Graph Based Custering Scheme for Adhoc Network

Contact Info

Product

Resources

About