Prevention of DoS Attacks in VANET

Verma, Karan; Hasbullah, Halabi; Kumar, Ashok

doi:10.1007/s11277-013-1161-5

Cited by 81 publications

(38 citation statements)

References 31 publications

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“…For protecting and detecting these possible threats, an intrusion detection and prevention system must be used by the wireless networks. Intrusion detection system solution is also important for the organizations which do not have a WLAN due to the dangerous wireless threats [1, 18,22,24,25,26]. A misbehaving Wireless Access Point (WAP) is introduced into the wireless networks 802.11which attacks and collects the sensitive data from the WLAN.…”

Section: Threats To Wireless Lanmentioning

confidence: 99%

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DISTRIBUTED AGENT BASED TECHNIQUE FOR DETECTING DISTRIBUTED DENIAL-OF-SERVICE (DDoS) ATTACKS IN WLAN

Singh¹,

Dhir²

2018

ijarcs

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Abstract:By sending large amount of data flows from multiple sites, Distributed Denial-of-Service (DDoS) attacks target the victims. Thus, there is a demand to implement number of DDoS defense techniques all together and collaboratively on many nodes, especially on where there is a need to maintain round-the-clock Internet connectivity. The security mechanism works on a probabilistic basis that is based on the detection of illegitimate traffic and then to discard it, that forced a specific number of legitimate packets to be fallout in the process and reducing the overall quality of service. In this paper a Distributed Agent Based technique for detecting DDoS Attacks in wireless LAN has been proposed. It is fully distributed and provides an early warning when pre-attack activities are detected, using trust mechanisms. From the simulation results it has been found that the proposed distributed agent based architecture achieves high throughput with low packet drop, by detecting and isolating the attack traffic flows.

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Section: Threats To Wireless Lanmentioning

confidence: 99%

“…This approach decrease the risk of wormhole attacks and does not need any location information and clock synchronization. Recently, many researchers have proposed intrusion detection techniques for wireless sensor networks [3,16,[21][22][23][24].…”

Section: Ddos (Distributed Denial Of Service) Attacksmentioning

confidence: 99%

DISTRIBUTED AGENT BASED TECHNIQUE FOR DETECTING DISTRIBUTED DENIAL-OF-SERVICE (DDoS) ATTACKS IN WLAN

Singh¹,

Dhir²

2018

ijarcs

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“…The mobility generators take into consideration both the micro as well as macro mobility behaviour of the nodes. Various examples of mobility generators are SUMO [16], MOVE [17], CityMob [18], FreeSim [19] STRAW [20]. The comparison of these all is shown in Table 1.1.…”

Section: Simulators For Vanetmentioning

confidence: 99%

Comprehensive Survey of Denial of Service Attacks in Vanets

Kumar

2017

ijarcs

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Vehicular Adhoc Networks (VANETs) is the form of network which contains vehicles with high mobility as nodes. Since the nodes are moving, the vehicles entering and leaving the network is at very high pace making the VANETs self-organizing. Due to this, the dissemination of information to correct nodes and making the network secure from active as well as passive attackers is one of the vulnerable task in VANETs. There are number of attacks by which the network can be attacked but in this paper we have discussed Denial of Service (DoS) attack which attacks on the availability of the network. All the possible reasons of DoS attacks are reviewed and also all the possible solutions are defined in this paper.

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“…Denial of Service (DoS) [2], [3], [25], [34] is always one of the most serious level attacks in every network. The scenarios to perform are very diverse.…”

Section: Denial Of Service (Dos) and Distributed Denial Of Service (Dmentioning

confidence: 99%

“…There is a processing unit that has the role to suggest to the OBU to switch channel, technology, or to use frequency hopping technique or multiple transceiver in the case of DoS attack [34]. The work in [34] present a distributed and robust defense against DoS attacks where a malicious node forges a large number of fake identities, i.e., Internet Protocol (IP) addresses in order to disrupt the proper functioning of fair data transfer between two fast-moving vehicles. In the proposed approach, these fake identities are analyzed through the medium of the consistent existing IP address information.…”

Section: Denial Of Service (Dos) and Distributed Denial Of Service (Dmentioning

confidence: 99%