ACO-Based Secure Routing Protocols in MANETs

Panda, Niranjan; Pattanayak, Binod Kumar

doi:10.1007/978-981-13-9330-3_18

Cited by 9 publications

(7 citation statements)

References 15 publications

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“…The performance metrics, such as computational overhead, latency, packet delivery rate, network life time, security level, successful message rate, key agreement time, energy consumption is anlayzed. The obtained results are compared with existing methods, like hybridizing the popular Diffie‐Hellman model of key exchange and elliptic curve cryptography (HDHECC) HDHECC‐GKM‐ MANETs, 24 hexagonal clustered trust based distributed group key management in mobile ad hoc networks (HCTD‐GKM‐MANETs), 25 ant colony optimization (ACO) based group key management in mobile ad hoc networks(ACO‐GKM‐MANETs) 26 …”

Section: Resultsmentioning

confidence: 99%

“…Panda and Pattanayak 26 have presented an ant colony optimization based secure routing protocols in MANETs. Routing in MANET was related to a set of complexities that required to be solved before its execution.…”

Section: Literature Surveymentioning

confidence: 99%

“…• Finally, the performance is compared with existing HDHECC-GKM-MANETs, 24 HCTD-GKM-MANETs, 25 ACO-GKM-MANETs methods. 26 Remaining article is designed as: Section 2 portrays the literature survey. Section 3 explains about proposed Enabling Security in MANETs Using an Efficient Cluster Based Group Key Management with ECC based SFOA.…”

Section: Motivationmentioning

confidence: 99%

“…This process reduces the processing time of rekeying method. The proposed method is simulated by Python programming and network simulator‐3 (NS‐3). The performance metrics, such as computational overhead, latency, packet delivery rate, network life time, security level, successful message rate, key agreement time is analyzed. Finally, the performance is compared with existing HDHECC‐GKM‐MANETs, 24 HCTD‐GKM‐MANETs, 25 ACO‐GKM‐MANETs methods 26 …”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Enabling security in MANETs using an efficient cluster based group key management with elliptical curve cryptography in consort with sail fish optimization algorithm

Shanmuganathan

Boopalan²,

Elangovan

et al. 2022

Trans Emerging Tel Tech

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In MANET, group key management is a vital part of multicast security. But distribution of keys in an authenticated manner is a difficult task in group key management. The existing methods provide low security with high processing time during group key management resulting does not provide sufficient results. Therefore, enabling security in MANETs using an efficient cluster based group key management with elliptical curve cryptography in consort with sail fish optimization algorithm is proposed in this article for two‐level security with reduced computational overhead. At first, all the nodes in the cluster are structured in hierarchy method. The key server creates public key utilizing private key of the group node. Here, elliptical curve cryptography based meta‐heuristic sail fish optimization algorithm is used to select the optimal private key for better secure communication. After selecting this optimum private key, the key server creates the public key, and a common group key is created using this generated public keys. If the nodes joint or exit from the subgroup, the reset process is executed in group key management process. Finally, this process reduces the computational overhead of rekeying method. The proposed method is simulated by Python programming and network simulator‐3. The proposed elliptical curve cryptography based sail fish optimization algorithm attains 10.9%, 22.21%, and 11.43% low computational overhead, 19.34%, 13.45%, and 42.13% low latency, 43.45%, 22.21%, and 12.22% high packet delivery rate, 11.23%, 13.41%, and 21.11% high network life time than the existing methods.

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Section: Resultsmentioning

confidence: 99%

Section: Literature Surveymentioning

confidence: 99%

Section: Motivationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Enabling security in MANETs using an efficient cluster based group key management with elliptical curve cryptography in consort with sail fish optimization algorithm

Shanmuganathan

Boopalan²,

Elangovan

et al. 2022

Trans Emerging Tel Tech

View full text Add to dashboard Cite

show abstract

“…Again, security concerns could be made by means of different procedures and out from these; evolutionary technique-based procedures emerged as more efficient for the use. A widespread evaluation of ACO-based secure MANET routing protocols was carried and the findings of this study can assist researchers in the field MANET to develop secure protocols, particularly with ACO to address the safety concerns in MANETs [7].…”

Section: Malik Et Al (2020) Proposed An Enhancing Security Usingmentioning

confidence: 99%

Enhanced Security using Mobile Agent based Key Management and Encryption Technique for MANETs

2020

IJATCSE

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Mobile Ad hoc Networks (MANETs) isn't made of any pre existing infrastructure for transferring and getting information. This is an impermanent network which can be setup wherever at any instant due to its uncomplicated infrastructure. No base station is essential in this network. The nodes are linked with each other through a wireless link and a node can act as a router to promote the data to the neighboring nodes. When a node leaves a network, then novel links and fresh routes are to be established. Security has turn out to be a main worry so as to offer protected communication between mobile nodes in an unfriendly environment. In this research work, we devise an improved approach of novel encryption algorithm for achieving superior data security. A private identification based key management scheme called as an Enhanced security using Private Identification-based Key Management (EPIKM) algorithm with Encryption is designed to improve security in MANETs. The mobile agents can use novelty EPIKM encryption and digital signature to provide security and authentication services.The performance parameters like delay, energy, PDR, Normalized overhead and throughput are need to be achieve in Network Simulator-2 (NS-2) tool and to compare the obtained results with existing systems.

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