Improved QoS and avoidance of black hole attacks in MANET using trust detection framework

Manoranjini, J.; Chandrasekar, A.; Jothi, S.

doi:10.1080/00051144.2019.1576965

Cited by 22 publications

(15 citation statements)

References 32 publications

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“…The other Cuckoo search and M-tree-based approach were proposed by Babu and Ussenaiah (14) to enhance the Adhoc network's performance. The other heuristic and metaheuristic approaches based on an optimization algorithm were developed by several researchers (15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28) that optimize the network's performance and provide a secure communication environment.…”

Section: Related Workmentioning

confidence: 99%

MOpt Shield: An Intrusion Detection System based on Meld Optimization Algorithm to mitigate Amalgam Attacks

Kaur¹,

nbsp²,

nbsp³

et al. 2021

IJST

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Background/Objectives: To mitigate network from amalgam attacks, this study is focussed on designing an efficient approach that can prevent the networks from intruders and secure the communication. Methods: A crossbreed approach, named 'MOpt Shield,' is proposed in this study. This proposed protocol utilizes the efficacy of the existing Cuckoo Search and Firefly Optimization Algorithm on basic AODV protocol along with the promising factors of the Intrusion Detection System. The proposed protocol is simulated using an NS-2 simulator with two different simulation scenarios, and PDR, Throughput, PLR, and Delay parameters are considered performance measures for the same. Findings: The proposed protocol finds the best selected nodes for communication and prepare separate list for the doubted nodes which further analyzed for attacker or non-attacker nodes. This will help to identify the best path with high energy and other capabilities for the efficient transmission of data. The performance of this proposed protocol is analyzed under 5 attacker nodes in which 2 are blackhole and 3 are DoS attacker nodes. For simulation, the scenario includes minimum 5 connections and maximum 25 connections between the 50 nodes with CBR traffic and 20m/s speed. The evaluated results show the astounding performance of the proposed protocol over the other existed protocols in terms of PDR, Throughput and Delay, and hence it reveals its capabilities. Novelty/Applications: The proposed protocol effectively handles the amalgam attacks and its novelty lie in its features of hybrid optimization and intrusion detection approach to find the route of transmission and the trusty nodes.

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Section: Related Workmentioning

confidence: 99%

MOpt Shield: An Intrusion Detection System based on Meld Optimization Algorithm to mitigate Amalgam Attacks

Kaur¹,

nbsp²,

nbsp³

et al. 2021

IJST

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“…The resulting method revealed that it enriches the efficiency of factors namely packet delivery ratio, end-end-delay and hop to sink delay. [24] Proposed an upgraded Trust detection procedure to improve the possibility of detecting and preventing the black hole nodes. Here, the nature of the malicious nodes extended the risk of threats and seduces the operations.…”

Section: Black Holementioning

confidence: 99%

Host based Detection and Prevention of Black Hole attacks by AODV-ICCSO Algorithm for security in MANETs

Sathyaraj¹,

D²,

Kannan³

2021

Preprint

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Background: Mobile Ad-hoc Networks (i.e.) MANETs are gaining rapid fame in recent days and are considered as very significant because of their easier implementation and growing property. Various types of attacks are prone to damage the networks due to the elastic property possessed by the network. And among different categories of attacks that can affect MANETs, black hole attack is considered as the commonly occurring one within a MANET. Chicken Swarm Optimization (CSO) algorithm is one among the technique used for the detection of black hole attacks occurring in the MANETs. But the CSO algorithm possesses some disadvantages and necessity rises for overcoming the weakness in the CSO algorithm. Objective: Therefore, in this research paper, to address the black hole attack in MANET, an Improved Crossover Chicken Swarm Optimization (ICCSO) algorithm and the concept of Enhanced Partially-Mapped Crossover operation proposed and the best fitness values obtained. Methods: In ICCSO algorithm, parameter initialization is carried out in step 1 of the algorithm, where the attacked nodes and non-attack nodes are created separately with the aid of parameters like PDR (i.e.) Packet Delivery Ratio and RSSI (i.e.) Received Signal Strength Indicator. Further, If the node is affected by any attack, then the nodes are discarded and the data is transmitted through the non-attacked node. Routing is carried by a protocol of AODV.Results: The effectiveness of the algorithm proposed in the work is evaluated using various performance measures like packet delivery ratio (PDR), end-to-end delay (EED) and throughput. The performance measures are compared with a different state of the art routing protocols and it can be inferred that the proposed methodology comes up with improved results.

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“…These attacks were Blackhole, Denial of service (DoS, and wormhole. The comparison was made for their throughput, End to End Delay, and Packet Delivery Ratio (PDR) Authors in [5] proposed a MANET trust model that uses a combination of direct, indirect, and mutual trust values among network nodes to reflect the behavior of sensor nodes. The aim was to test out the effectiveness of a secured node can be routed within the network.…”

Section: Related Work On Security Framework In Manetsmentioning

confidence: 99%

Quality of Service-Aware Security Framework for Mobile Ad Hoc Networks using Optimized Link State Routing Protocol

Phakathi¹,

Lugayizi²,

Esiefarienrhe³

2020

Computer Science &Amp; Information Technology (CS &Amp; IT)

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All networks must provide an acceptable and desirable level of Quality of Service (QoS) to ensure that applications are well supported. This becomes a challenge when it comes to Mobile ad-hoc networks (MANETs). This paper presents a security framework that is QoS-aware in MANETs using a network protocol called Optimized Link State Routing Protocol (OLSR). Security & QoS targets may not necessarily be similar but this framework seeks to bridge the gap for the provision of an optimal functioning MANET. This paper presents the various security challenges, attacks, and goals in MANETs and the existing architectures or mechanisms used to combat security attacks. Additionally, this framework includes a security keying system to ascertain QoS. The keying system is linked to the basic configuration of the protocol OLSR through its Multi-point Relays (MPRs) functionality. The proposed framework is one that optimizes the use of network resources and time.

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Improved QoS and avoidance of black hole attacks in MANET using trust detection framework

Cited by 22 publications

References 32 publications

MOpt Shield: An Intrusion Detection System based on Meld Optimization Algorithm to mitigate Amalgam Attacks

MOpt Shield: An Intrusion Detection System based on Meld Optimization Algorithm to mitigate Amalgam Attacks

Host based Detection and Prevention of Black Hole attacks by AODV-ICCSO Algorithm for security in MANETs

Quality of Service-Aware Security Framework for Mobile Ad Hoc Networks using Optimized Link State Routing Protocol

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