Comparative Review of Routing Protocols in MANET for Future Research in Disaster Management

Soomro, Abdul Majid; Fudzee, Mohd Farhan Bin Md.; Hussain, Muzammil; Saim, Hafiz Muhammad; Zaman, Gohar; Rahman, Atta; AlUbaidan, Haya; Nabil, Majed

doi:10.12720/jcm.17.9.734-744

Cited by 18 publications

(10 citation statements)

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“…Mobile Ad hoc Networks (MANETs) has a routable networking environment where fixed infrastructure is impractical or unavailable. 1 These self-configuring networks consist of nodes that dynamically form connections without relying on a centralized infrastructure. 2 MANETs find applications in disaster response, military operations, and IoT deployments, where nodes collaborate to exchange information and perform tasks efficiently.…”

Section: Introductionmentioning

confidence: 99%

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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.

show abstract

Section: Introductionmentioning

confidence: 99%

“…Mobile Ad hoc Networks (MANETs) has a routable networking environment where fixed infrastructure is impractical or unavailable 1 . These self‐configuring networks consist of nodes that dynamically form connections without relying on a centralized infrastructure 2 .…”

Section: Introductionmentioning

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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show abstract

“…Routing Protocols, for MANETs, can be classified into three principal categories : proactive, reactive and hybrid protocols [35,41]. Proactive protocol, as DSDV [4] and WRP [31], is a table driven protocol which periodically updates the routing information.…”

Section: Introductionmentioning

confidence: 99%

Mitigation of smart black hole attacks using universal sink detection method in graph theory

MEKKAOUI

TEGGAR

2023

Preprint

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Nowadays, network security has become a very important aspect due to the increasing number of connected things and the multiple threats that become more and more intelligent. Mobile Ad hoc networks (MANET), known to be non-infrastructure and self-configured peer networks, are subject to multiple types of attacks. For this reason, it is essential to implement an Intrusion Detection System that realizes fast attack detection to alert users by any malicious activity taking place on the network. Black hole is one of the most serious threats in MANETs, witch is the origin of Denial of service attack. This type of threats has been widely studied and many solutions were proposed. Unfortunately these solutions has become inefficient against the new generation of black holes, known also as smart black holes, witch can deceive most of these solutions. To overcome smart black holes, we proposed an Intrusion Detection System based on the early detecting and isolating malicious nodes by exploiting local information shared by neighbors and using universal sink detection method in graph theory. We proved that smart black holes can defeat the sequence number threshold-based detection strategy by using leastsquare method. Simulations in NS2, showed the efficiency of the proposed approach, which can quickly detect and isolate smart black holes, improve the Packet delivery ratio (PDR) and throughput by an average of 97% and 90%, respectively, thus preserving the network performances.

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“…Routing protocols in MANETs can be broadly classified into three categories: proactive, reactive, and hybrid protocols [36,42]. Proactive protocols, exemplified by DSDV and WRP, continuously update the routing information.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Security in Mobile Ad Hoc Networks: Detection and Isolation of Smart Black Hole Attacks using Universal Sink Detection Technique in Graph Theory

MEKKAOUI,

TEGGAR,

Houacine

2023

Preprint

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Network security is of utmost importance due to the ever-increasing number of connected devices and the growing sophistication of threats. Mobile Ad hoc networks (MANETs), characterized by their non-infrastructure and self-configured peer networks, are particularly vulnerable to various types of attacks. Therefore, it is imperative to implement an efficient Intrusion Detection System (IDS) capable of rapidly detecting attacks and alerting users to any malicious activities occurring on the network. Among the numerous threats faced by MANETs, the black hole attack stands out as one of the most serious. Originating from Denial of Service attacks, this type of threat has been extensively studied, and several solutions have been proposed. However, these solutions have become ineffective against the emergence of a new generation of black holes, known as smart black holes, which can circumvent most existing countermeasures. To address the challenge posed by smart black holes, we propose an IDS that focuses on early detection and isolation of malicious nodes. Our approach leverages locally shared information from neighboring nodes and utilizes the universal sink detection method derived from graph theory. Through simulations conducted in NS2, we have evaluated the effectiveness of our proposed approach. The results validate the efficiency of our system, as it enables prompt detection and isolation of smart black holes, leading to significant improvements in Packet Delivery Ratio (PDR) and throughput, with average enhancements of 97% and 90%, respectively. Consequently, our approach not only preserves network performance but also mitigates the impact of smart black hole attacks.

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Comparative Review of Routing Protocols in MANET for Future Research in Disaster Management

Cited by 18 publications

References 0 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

Mitigation of smart black hole attacks using universal sink detection method in graph theory

Enhancing Security in Mobile Ad Hoc Networks: Detection and Isolation of Smart Black Hole Attacks using Universal Sink Detection Technique in Graph Theory

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