Variable control chart for detecting black hole attack in vehicular ad-hoc networks

Cherkaoui, Badreddine; Beni‐Hssane, Abderrahim; Erritali, Mohammed

doi:10.1007/s12652-020-01825-2

Cited by 23 publications

(7 citation statements)

References 18 publications

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“…If any node provides false information in the status packet, that node is classified as a malicious node. However, the approach is not applicable in large-size networks, because the restricted mobility of nodes is the main drawback of this approach, as their speed cannot exceed 1 m/sec [7]. Rani et al [23] proposed a swarm-based Artificial Bee Colony (ABC) technique against BHA and GHA.…”

Section: Related Workmentioning

confidence: 99%

“…These components further yield three classes of communication modes: Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I), and Infrastructureto-Infrastructure (I2I) communications [5], [6]. VANET is the backbone of the ITS, which plays a crucial role in providing real-time and sensitive information to drivers, passengers, and traffic administrative authorities [7], [8].…”

Section: Introductionmentioning

confidence: 99%

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An Efficient Approach for the Detection and Prevention of Gray-Hole Attacks in VANETs

et al. 2023

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Vehicular Ad-Hoc Networks (VANETs) deliver a wide range of commercial as well as safety applications and further motivate the advancements of Internet of Vehicles (IoV), Intelligent Transportation Systems (ITS), and Vehicles to Everything (V2X) communication. Despite their potential benefits, VANETs are susceptible to a variety of security attacks due to their open, distributed, and dynamic nature, which includes intrinsic protocol design issues. One such an infamous security attack is the Gray-Hole Attack (GHA), typically has two variants: Smart GHA and Sequence Number-based GHA. In Smart GHA, the malicious node behaves normally during the route discovery process, while in Sequence Number-based GHA, the malicious node starts misbehaving during the route discovery process. In either case, once the route is successfully established, it starts dropping the packets. In this paper, a novel security approach called ''Detection and Prevention of GHA'' (DPGHA) is proposed to detect and prevent both variants of GHA in Ad Hoc On-Demand Distance Vector (AODV) based VANETs. The approach is based on the generation of dynamic threshold values of abnormal differences of received, forwarded, and generated control or data packets among nodes and their sequence numbers. The proposed DPGHA is implemented and tested in NS-2 and SUMO simulators and its various performances are compared with the most relevant benchmark approaches. The results showed that the proposed DPGHA performed better than the benchmark approaches in terms of reduced routing overhead by 10.85% and end-to-end delay by 3.85%, increased Packet Delivery Ratio (PDR) by 4.67% and throughput by 6.58%, and achieved a maximum detection rate of 2.3%.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Efficient Approach for the Detection and Prevention of Gray-Hole Attacks in VANETs

et al. 2023

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“…The key problem with this scheme is that it periodically broadcasts a status packet to detect malicious nodes in the network, which results in a huge routing overhead. In [4], Cherkaoui et al proposed a novel method to detect BHAs in VANETs based on using a variable control chart. The method is implemented in each receiving vehicle to detect the BHA through the supervision of the throughput and end-to-end delay metrics.…”

Section: Related Workmentioning

confidence: 99%

“…In essence, a TA is a registration unit that manages the VANET system by registering the OBUs, RSUs, and vehicle users. A VANET is the backbone of the intelligent transportation system (ITS) and it plays a crucial role in supplying real-time and sensitive information to the drivers and traffic authorities [4,5]. Another key component of an ITS is the IoT [6], which transforms conventional VANETs into the Internet of vehicles (IoV), enabling data collection and sharing data about infrastructures, vehicles, humans, and road conditions [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

An Efficient Dynamic Solution for the Detection and Prevention of Black Hole Attack in VANETs

Malik

Khan

Faisal

et al. 2022

Sensors

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Rapid and tremendous advances in wireless technology, miniaturization, and Internet of things (IoT) technology have brought significant development to vehicular ad hoc networks (VANETs). VANETs and IoT together play a vital role in the current intelligent transport system (ITS). However, a VANET is highly vulnerable to various security attacks due to its highly dynamic, decentralized, open-access medium, and protocol-design-related concerns. Regarding security concerns, a black hole attack (BHA) is one such threat in which the control or data packets are dropped by the malicious vehicle, converting a safe path/link into a compromised one. Dropping data packets has a severe impact on a VANET’s performance and security and may cause road fatalities, accidents, and traffic jams. In this study, a novel solution called detection and prevention of a BHA (DPBHA) is proposed to secure and improve the overall security and performance of the VANETs by detecting BHA at an early stage of the route discovery process. The proposed solution is based on calculating a dynamic threshold value and generating a forged route request (RREQ) packet. The solution is implemented and evaluated in the NS-2 simulator and its performance and efficacy are compared with the benchmark schemes. The results showed that the proposed DPBHA outperformed the benchmark schemes in terms of increasing the packet delivery ratio (PDR) by 3.0%, increasing throughput by 6.15%, reducing the routing overhead by 3.69%, decreasing the end-to-end delay by 6.13%, and achieving a maximum detection rate of 94.66%.

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“…Other authors [24] have proposed a solution to detect the Black hole attack during communication in a VANET network, their method is based on a variable control chart in order to monitor the quality of a given process and to monitor in general the activities of network and finally they identify potential black hole attacks, the authors test the effeteness of their method by just one routing attack. [25] propose trusted agent-based lightweight surprise check for malevolent node detection in MANET.…”

Section: Related Workmentioning

confidence: 99%

Shapiro-Wilk Test to Detect The Routing Attacks In MANET

Nabou

Laanaoui

Ouzzif

et al. 2021

Preprint

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In the last recent years, the number of wireless devices has been growing and the security challenges increases too. Mobile Ad hoc Network (MANET) considers as a part of wireless network that connects mobile devices by using wireless channels without infrastructure. MANET use specific protocols to ensure the connectivity and exchange data between the source and destination. Optimized Link State Routing Protocol (OLSR) is a table-driven protocol that keep the route to all destination at any times, unfortunately it can be affected by many active routing attacks that reduce its performance by dropping the exchange packets or stopping the forward of data. In this paper we present a new approach to detect any active routing attacks by using the concept of Shapiro-Wilk test. Our method of detection is easy to implement and does not require any modification in the standard version of OLSR routing protocol as we will demonstrate by NS-3 simulations the detection of Black hole, Worm hole and Node isolation attacks that consider as most known attacks in MANET. A real experience is done by creating a small ad hoc network that connect six wireless devices by using OLSR protocol and finally we detect the presence of an active routing attack by applying our proposed method.

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Variable control chart for detecting black hole attack in vehicular ad-hoc networks

Cited by 23 publications

References 18 publications

An Efficient Approach for the Detection and Prevention of Gray-Hole Attacks in VANETs

An Efficient Approach for the Detection and Prevention of Gray-Hole Attacks in VANETs

An Efficient Dynamic Solution for the Detection and Prevention of Black Hole Attack in VANETs

Shapiro-Wilk Test to Detect The Routing Attacks In MANET

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