Effects of attackers and attacks on availability requirement in vehicular network: A survey

Sumra, Irshad Ahmed; Hasbullah, Halabi; AbManan, Jamalul-lail Bin

doi:10.1109/iccoins.2014.6868376

Cited by 12 publications

(7 citation statements)

References 12 publications

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“…But, if the network is not available for communication then the main goal of the network has become useless. All possible attacks related to availability are given below through different scenarios [7,8,13]. …”

Section: Attacks On Availability In Vanetmentioning

confidence: 99%

Attacks on Security Goals (Confidentiality, Integrity, Availability) in VANET: A Survey

Sumra

Hasbullah

AbManan

2014

Advances in Intelligent Systems and Computing

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In recent years, the VANET has received a greater attention among researchers in academia and industry due to its potential safety application and nonsafety application. Malicious users are one of the types of attackers in VANET and create the security problems. Confidentiality, integrity and availability (CIA) are major components of security goals. The increasing research interest, potential applications, and security problem in VANET lead to the needs to review the attacks on security goals. In this paper, the aim is to present the survey of attacks on security goals and to describe in details the nature of attacks and the behaviour of attackers through different scenarios in the network. The paper also provides a better understanding of security goals and finally it provides an analysis and classifies the attacks on the basis of security goals into different threat levels that can help in the implementation of VANET in real life.

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Section: Attacks On Availability In Vanetmentioning

confidence: 99%

Attacks on Security Goals (Confidentiality, Integrity, Availability) in VANET: A Survey

Sumra

Hasbullah

AbManan

2014

Advances in Intelligent Systems and Computing

Self Cite

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“…For instance, an attacker could try to shutdown/disrupt the network established by RSUs and stop communication between vehicles and/or RSUs [57]. In a distributed DoS (DDoS) attack [59] malicious nodes launch attacks from different locations thus making it harder to detect. In the physical layer, an important type of DoS attack is the jamming attack [60] (refer to the related work [61] for detailed classification) where the attacker disrupts the communication channel (e.g., by electromagnatic interference) and can filter/limit incoming messages.…”

Section: B V2x Attack Classificationsmentioning

confidence: 99%

Securing Vehicle-to-Everything (V2X) Communication Platforms

Hasan

Mohan

Shimizu

et al. 2020

IEEE Trans. Intell. Veh.

161

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Modern vehicular wireless technology enables vehicles to exchange information at any time, from any place, to any network -forms the vehicle-to-everything (V2X) communication platforms. Despite benefits, V2X applications also face great challenges to security and privacy -a very valid concern since breaches are not uncommon in automotive communication networks and applications. In this survey, we provide an extensive overview of V2X ecosystem. We also review main security/privacy issues, current standardization activities and existing defense mechanisms proposed within the V2X domain. We then identified semantic gaps of existing security solutions and outline possible open issues.We also discuss possible open issues (Section VIII), summarize multiple industry/academic/government initiatives for securing V2X communications (Section IX-A) and compare our work with related surveys (Section IX-B). II. V2X PLATFORM : AN OVERVIEWThis section provides an overview of V2X communication interfaces (Section II-A) and discuss various network/communication models (Section II-B). A. Communication InterfacesThe internal architecture of a vehicle is interconnected with ECUs (electronic control units -embedded computing platform that monitor/control automotive systems) coupled with sensors and actuators. The communication between the vehicle and the outside world such as other vehicles or roadside units (RSUs) is performed via external interfaces (see Fig. 1). These vehicular external interfaces are attached to the telematics control unit (TCU) -also referred to as on-board unit (OBU) 1 -an ECU that provides wireless connectivity [7], [8]. A vehicle control unit coordinates with the OBU to collect and disseminate vehicular data [9]. The current standards for V2X communication are DSRC (dedicated short range communication) [10] in the United States, C-ITS (cooperative intelligent transport systems) [11] in Europe and ITS Connect [12] in Japan. Both DSRC and C-ITS operating in the 5.9 GHz ITS band while ITS Connect operating in 760 MHz band (refer to Section II-B1 for details). An alternative to DSRC/C-ITS is the next generation of cellular wireless mobile telecommunications technology (see Section II-B2). OBUs can also be equipped with interfaces for long-range communication. These long-range wireless channels can be classified as broadcast channels (signals can be broadcast to multiple vehicles without knowledge of the receiver's address) and addressable channels (where messages are sent to vehicles with specific addresses.) [13]. Examples of broadcast channels include the global navigation satellite system (GNSS), traffic message/satellite radio receivers, etc. Addressable channels are typically used for long-range voice/data transmissions and are intended to be used for cellular communications for mobile broadband [8].

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“…Due to its importance, dependability evaluation is an issue widely addressed in the literature, especially on WSNs. Several papers can be founded surveying some aspect of dependability on WSNs [ 10 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 ], while some others papers survey WVSNs [ 26 , 27 , 28 , 29 , 30 , 31 ] as their main research areas. However, just a few works have discussed dependability aspects of WVSNs, with emphasis on the availability assessment [ 14 , 32 , 33 , 34 , 35 ].…”

Section: Related Workmentioning

confidence: 99%

Automated Methodology for Dependability Evaluation of Wireless Visual Sensor Networks

Jesus

Portugal

Vasques

et al. 2018

Sensors

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Wireless sensor networks have been considered as an effective solution to a wide range of applications due to their prominent characteristics concerning information retrieving and distributed processing. When visual information can be also retrieved by sensor nodes, applications acquire a more comprehensive perception of monitored environments, fostering the creation of wireless visual sensor networks. As such networks are being more often considered for critical monitoring and control applications, usually related to catastrophic situation prevention, security enhancement and crises management, fault tolerance becomes a major expected service for visual sensor networks. A way to address this issue is to evaluate the system dependability through quantitative attributes (e.g., reliability and availability), which require a proper modeling strategy to describe the system behavior. That way, in this paper, we propose a methodology to model and evaluate the dependability of wireless visual sensor networks using Fault Tree Analysis and Markov Chains. The proposed modeling strategy considers hardware, battery, link and coverage failures, besides considering routing protocols on the network communication behavior. The methodology is automated by a framework developed and integrated with the SHARPE (Symbolic Hierarchical Automated Reliability and Performance Evaluator) tool. The achieved results show that this methodology is useful to compare different network implementations and the corresponding dependability, enabling the uncovering of potentially weak points in the network behavior.

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Effects of attackers and attacks on availability requirement in vehicular network: A survey

Cited by 12 publications

References 12 publications

Attacks on Security Goals (Confidentiality, Integrity, Availability) in VANET: A Survey

Attacks on Security Goals (Confidentiality, Integrity, Availability) in VANET: A Survey

Securing Vehicle-to-Everything (V2X) Communication Platforms

Automated Methodology for Dependability Evaluation of Wireless Visual Sensor Networks

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