Blackhole Attack Cooperative Prevention Method in MANETs

Terai, Takeru; Yoshida, Masami; Ramonet, Alberto Gallegos; Noguchi, Taku

doi:10.1109/candarw51189.2020.00024

Cited by 4 publications

(9 citation statements)

References 6 publications

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“…In this section, we compare between the proposed IDS and the thresholdbased method under multiple smart black holes attacks. Remember that a The least-square method is used to determine the sequence number threshold, this is by exploiting the information collected from neighbours [40]. The main idea is that the sequence number increases proportionally over time.…”

Section: Proposed Ids Versus Threshold Based Methodsmentioning

confidence: 99%

“…The black hole attack is classified among the most dangerous threats in MANET networks, indeed in this attack, a malicious node redirect all communications to it self in order to drop or to modify them, witch hijack the purpose that the network is deployed for. Hence, the necessity to implement Many researchers are interested by this field of research and several solutions were proposed in the literature to detect and isolate the black holes, for example by examining the sequence number of the replays [16,27,32,38] or by modifying the structure of the AODV control messages [25,39] or by sending a RREQ without destination address [40], since the malicious node responds to all REEQ without checking if the destination address is mentioned in the RREQ or not ... etc. Unfortunately, most of the proposed IDS are, now, inefficient against the new generation of black holes, known also by smart black holes [40].…”

Section: Smart Black Hole Attackmentioning

confidence: 99%

“…In the smart black hole attack, a malicious node can defeat several intrusion detection systems [40]. For example by determining the threshold applied for the sequence number, so as not to exceed, in the case of the IDS which sets a threshold to detect the black holes which announce themselves having a fresh route with a very high sequence number; Or by verifying if the REEQ if it is valid or not by verifying the destination address field in that RREQ.…”

Section: Smart Black Hole Attackmentioning

confidence: 99%

“…Terai and al [40] propose a leverage information from neighboring nodes and create a sequence number threshold based on this information to deal with smart black holes. The authors succeeded in improving the PDR by up to 40% and reducing the ASR by up to 50%.…”

Section: Related Workmentioning

confidence: 99%

“…Many solutions were proposed against the black holes attacks, but most of them become inefficient in front of the new generation of black holes, called also smart black holes. Indeed, classical solutions, like threshold based methods [16,27,32,38] which consists in fixing a threshold for the sequence number in order to detect the malicious node that assumes possessing a route to the destination with a very high sequence number, are invalid versus the smart black holes [40].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

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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Section: Proposed Ids Versus Threshold Based Methodsmentioning

confidence: 99%

Section: Smart Black Hole Attackmentioning

confidence: 99%

Section: Smart Black Hole Attackmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

MEKKAOUI

TEGGAR

2023

Preprint

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Black Hole Attacks Detection in Mobile Ad Hoc Networks (MANETs) using Bayesian Inference Method

Afifah,

Fadli,

Septian

et al. 2024

2024 11th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)

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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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Blackhole Attack Cooperative Prevention Method in MANETs

Cited by 4 publications

References 6 publications

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

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

Black Hole Attacks Detection in Mobile Ad Hoc Networks (MANETs) using Bayesian Inference Method

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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