On the Impact of DDoS Attacks on Software-Defined Internet-of-Vehicles Control Plane

Siddiqui, Abdul Jabbar; Boukerche, Azzedine

doi:10.1109/iwcmc.2018.8450433

Cited by 15 publications

(12 citation statements)

References 18 publications

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“…softwarisation and virtualisation have also their own security challenges, as discussed in [47], [48]. One of the main or pertinent challenges that is faced by both, i.e., DoS and distributed DoS attacks [49] on the centralised entities, such as controller of SDN and hypervisor in NFV platforms, which have pivotal roles in their respective domains. Due to their functions, the traffic towards these entities can be easily recognised, making these visible targets for security attacks, such as DoS, DDoS and other resource exhaustion attacks.…”

Section: A Network Softwarisation / Virtualisationmentioning

confidence: 99%

Towards 6G-Enabled Internet of Vehicles: Security and Privacy

Osorio

Ahmad

Gurtov

et al. 2022

IEEE Open J. Commun. Soc.

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The conceptualisation of the sixth generation of mobile wireless networks (6G) has already started with some potential disruptive technologies resonating as enablers for driving the emergence of a number of innovative applications. Particularly, 6G will be a prominent supporter for the evolution towards a truly Intelligent Transportation System and the realisation of the Smart City concept by fulfilling the limitations of 5G, once vehicular networks are becoming highly dynamic and complex with stringent requirements on ultra-low latency, high reliability, and massive connections. More importantly, providing security and privacy to such critical systems should be a top priority as vulnerabilities can be catastrophic, thus there are huge concerns regarding data collected from sensors, people and their habits. In this paper, we provide a timely deliberation of the role that promissory 6G enabling technologies such as artificial intelligence, network softwarisation, network slicing, blockchain, edge computing, intelligent reflecting surfaces, backscatter communications, terahertz links, visible light communications, physical layer authentication, and cell-free massive multiple-input multiple-output (MIMO) will play on providing the expected level of security and privacy for the Internet of Vehicles.

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Section: A Network Softwarisation / Virtualisationmentioning

confidence: 99%

Towards 6G-Enabled Internet of Vehicles: Security and Privacy

Osorio

Ahmad

Gurtov

et al. 2022

IEEE Open J. Commun. Soc.

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“…The SDN helps the network monitoring and control to be much more flexible with the increasing number of vehicles connected through the centralize controller in the network control plane. While the data plane encompasses vehicles connecting to the SDN enabled wireless access points and application plane denote various type of services or application that run over SDN-IoV network [8].…”

Section: Aim Of Vanets Iov and Sdn-iovmentioning

confidence: 99%

“…With SDN integrated to the IoV enables intelligence and state of the network to be logically controlled centrally. The segregation of control and data plane is logically centralized but can be physically distributed [8]. The data plane will act and follow as the instruction coming from the controller plane.…”

Section: Introductionmentioning

confidence: 99%

A Survey on Internet of Vehicle (IoV): A pplications & Comparison of VANETs, IoV and SDN-IoV

et al. 2021

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The swift evolution of communication network technologies brings the smart connected objects into existence. The objects or things are connected and able to communicate with each other through Internet of Things (IoT). Internet of Vehicle (IoV) are the subset of the IoT technologies that has been implemented to the vehicle. IoV is the evolution of traditional Vehicular Adhoc Networks (VANETs) bringing new technologies to the smart connected vehicles. IoV network communication is purposedly to serve a real time data exchanged on roads between the vehicles and roads, vehicles and vehicles, vehicle and sensors, and vehicles and everything through different network technologies. There are significant differences between IoV, SDN-IoV and VANETs in term of network architecture, features, and applications that available. IoV and IoV-SDN is using different network framework giving different flexibility and scalability. In term of features and applications, IoV and IoV-SDN are having more wider and broad wireless connection technology in contrast with VANETs. In this survey paper, the survey will focus on the introduction to SDN, and differences of application and features in IoV, SDN-IoV and VANETs.

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“…It is not suitable for high scalable road traffic environment based on vehicular density. Jabbar et al [34] discussed the impact of Packet-In flooding attacks in the SDN controller. The author focused on analyzing the impact of Packet-In flooding based DDoS attacks on SD-IoV controllers.…”

Section: Literature Reviewmentioning

confidence: 99%

Intelligent Framework for Secure Transportation Systems Using Software-Defined-Internet of Vehicles

Pitchai¹,

Ramachandran²,

Al‐Turjman³

et al. 2021

Computers, Materials &Amp; Continua

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The Internet of Things plays a predominant role in automating all real-time applications. One such application is the Internet of Vehicles which monitors the roadside traffic for automating traffic rules. As vehicles are connected to the internet through wireless communication technologies, the Internet of Vehicles network infrastructure is susceptible to flooding attacks. Reconfiguring the network infrastructure is difficult as network customization is not possible. As Software Defined Network provide a flexible programming environment for network customization, detecting flooding attacks on the Internet of Vehicles is integrated on top of it. The basic methodology used is crypto-fuzzy rules, in which cryptographic standard is incorporated in the traditional fuzzy rules. In this research work, an intelligent framework for secure transportation is proposed with the basic ideas of security attacks on the Internet of Vehicles integrated with software-defined networking. The intelligent framework is proposed to apply for the smart city application. The proposed cognitive framework is integrated with traditional fuzzy, cryptofuzzy and Restricted Boltzmann Machine algorithm to detect malicious traffic flows in Software-Defined-Internet of Vehicles. It is inferred from the result interpretations that an intelligent framework for secure transportation system achieves better attack detection accuracy with less delay and also prevents buffer overflow attacks. The proposed intelligent framework for secure transportation system is not compared with existing methods; instead, it is tested with crypto and machine learning algorithms.

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On the Impact of DDoS Attacks on Software-Defined Internet-of-Vehicles Control Plane

Cited by 15 publications

References 18 publications

Towards 6G-Enabled Internet of Vehicles: Security and Privacy

Towards 6G-Enabled Internet of Vehicles: Security and Privacy

A Survey on Internet of Vehicle (IoV): A pplications & Comparison of VANETs, IoV and SDN-IoV

Intelligent Framework for Secure Transportation Systems Using Software-Defined-Internet of Vehicles

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