Enhanced security to MANETs using digital codes

Ahmad, Syed Jalal; Unissa, Ishrath; Ali, M. Shoukath; Kumar, Abhay

doi:10.1016/j.jisa.2022.103147

Cited by 2 publications

(2 citation statements)

References 15 publications

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“…Asymmetric key cryptography has a distribution key (DK) and calculator key (CK) for distribution, verification and generalization of secret keys. Ahmad et al 14 represented an equal weighted hex code cyclic division method for providing multi‐level security to MANET. The cyclic code division model was responsible for security code generation and the hamming bits were used for security improvement.…”

Section: Related Workmentioning

confidence: 99%

Crossover Boosted Grey Wolf Optimizer‐based framework for leader election and resource allocation in Intrusion Detection Systems for MANETs

Selvaraj,

Nanjappan,

Nagalingam

et al. 2024

Trans Emerging Tel Tech

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Mobile Ad hoc Networks (MANETs) is a self‐organizing networks without having a fixed infrastructure for making them susceptible to security threats. Intrusion Detection Systems (IDS) promotes security in MANETs by identifying malicious activities. Leader election is a fundamental aspect of IDS deployment, impacting resource allocation and system efficiency. This article presents a novel approach, the Crossover Boosted Grey Wolf Optimizer (CBGWO), for leader election and resource allocation in MANET‐based IDS. The proposed CBGWO algorithm integrates the Grey Wolf Optimizer (GWO) with innovative crossover operators that have an ability to enhance the capabilities of exploration and exploitation in the optimization process. The leader election problem is solved through applying multi‐objective optimization by considering energy consumption, reputation, and communication overhead. Objective functions are defined to maximize energy efficiency while maintaining a balanced distribution of leadership roles. Extensive simulations are conducted, varying network densities and the percentage of selfish nodes. Results demonstrate the effectiveness of the CBGWO‐based model in balancing energy consumption, prolonging network lifespan, and enhancing intrusion detection by comparing different state‐of‐the‐art models such as PCA‐FELM, CTAA‐MPSO, FLS‐RE, LEACH, DCAIDS, WOA‐GA, and VOELA. The proposed model achieved an energy consumption of 4.31 J, network lifetime of 560.482 ms, and average intrusion detection latency of 0.12 s, respectively. The proposed model outperforms than existing random and connectivity‐based leader election methods that is evaluated by taking main consideration of energy efficiency and network survivability. This research contributes to the field by introducing a robust algorithm for leader election in MANET‐based IDS, addressing challenges posed by network dynamics and resource constraints. The CBGWO‐based approach showcases its potential to achieve effective leader election and efficient resource allocation, thereby enhancing the security and sustainability of MANETs.

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Section: Related Workmentioning

confidence: 99%

Crossover Boosted Grey Wolf Optimizer‐based framework for leader election and resource allocation in Intrusion Detection Systems for MANETs

Selvaraj,

Nanjappan,

Nagalingam

et al. 2024

Trans Emerging Tel Tech

View full text Add to dashboard Cite

show abstract

“…To enhance the traffic safety, misbehavior detection using machine learning has been studied in [17]. Security issue in MANET has been discussed in many papers such as [18], [19]. The impact of retransmissions of packet lost and energy consumption in order to choose the appropriate routing protocol that can be enhance quality of service (QoS) of MANET are minimized and examined using NS-3 simulator [20].…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of dynamic source routing protocol with variation in transmission power and speed

Saad¹,

Youssef

2023

IJECE

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<span lang="EN-US">Mobile ad-hoc network (MANET) is a set of mobile wireless nodes (devices) which is not rely on a fixed infrastructure. In MANETs, each device is responsible for routing its data according to a specific routing protocol. The three most common MANET routing protocols are: dynamic source routing protocol (DSR), optimized link state routing protocol (OLSR), and ad-hoc on-demand distance vector (AODV). This paper proposes an efficient evaluation of DSR protocol by testing the MANETs routing protocol with variation in transmission power at different speeds. The performance analysis has been given using optimized network engineering tools (OPNET) modeler simulations and evaluated using metrics of average end to end delay and throughput. The results show that the throughput increases as the transmission power increases up to a certain value after which the throughput decreases, also the network work optimally at a certain transmission power which varied at different speed.</span>

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Enhanced security to MANETs using digital codes

Cited by 2 publications

References 15 publications

Crossover Boosted Grey Wolf Optimizer‐based framework for leader election and resource allocation in Intrusion Detection Systems for MANETs

Crossover Boosted Grey Wolf Optimizer‐based framework for leader election and resource allocation in Intrusion Detection Systems for MANETs

Performance evaluation of dynamic source routing protocol with variation in transmission power and speed

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