FIFA: Fighting against Interest Flooding Attack in NDN-based VANET

Rabari, Jeet; Kumar, Arun Raj P.

doi:10.1109/iwcmc51323.2021.9498767

Cited by 6 publications

(2 citation statements)

References 11 publications

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“…When the counted requests reach the threshold, the requester vehicle is marked as suspicious and its id is broadcasted and included in the restricted id table. Considering that an attacker can bypass the proposed solution by requesting contents using a prefix distribution that for a specific name prefix does not exceed the fixed threshold, and therefore be undetectable, Rabari and Kumar 168 propose the use of per‐vehicle coarse granularity instead of per‐prefix granularity, to overcome the mentioned shortcoming. Additionally, the proposal uses RSA‐based cryptographic certificates in order to ensure non‐repudiation, which is necessary for vehicle granularity.…”

Section: Methodsmentioning

confidence: 99%

On the realization of VANET using named data networking: On improvement of VANET using NDN‐based routing, caching, and security

Silva

Costa

Macedo

2022

Int J Communication

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Summary Named data networking (NDN) presents a huge opportunity to tackle some of the unsolved issues of IP‐based vehicular ad hoc networks (VANET). The core characteristics of NDN such as the name‐based routing, in‐network caching, and built‐in data security provide better management of VANET proprieties (e.g., the high mobility, link intermittency, and dynamic topology). This study aims at providing a clear view of the state‐of‐the‐art on the developments in place, in order to leverage the characteristics of NDN in VANET. We resort to a systematic literature review (SLR) to perform a reproducible study, gathering the proposed solutions and summarizing the main open challenges on implementing NDN‐based VANET. There exist several related studies, but they are more focused on other topics such as forwarding. This work specifically restricts the focus on VANET improvements by NDN‐based routing (not forwarding), caching, and security. The surveyed solution herein presented is performed between 2010 and 2021. The results show that proposals on the selected topics for NDN‐based VANET are recent (mainly from 2016 to 2021). Among them, caching is the most investigated topic. Finally, the main findings and the possible roadmaps for further development are highlighted.

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Section: Methodsmentioning

confidence: 99%

On the realization of VANET using named data networking: On improvement of VANET using NDN‐based routing, caching, and security

Silva

Costa

Macedo

2022

Int J Communication

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“…Bayesian optimization method boosted with hyperparameter optimization was applied using for classifiers in the learning phase. The best accuracy score attained using MRMR feature selection and Bayesian optimization-based decision tree classifier was 99.35% [11].…”

Section: Flood Attacks In Vanetmentioning

confidence: 99%

FA-AODV: Flooding Attacks Detection Based Ad Hoc On-Demand Distance Vector Routing Protocol for VANET

Tosunoglu

Koçak

2022

Sakarya University Journal of Computer and Information Sciences

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Vehicular Ad-Hoc Networks (VANET) is anticipated to be the most effective way of increasing performance and safety in transportation in the near future. VANETs are the sub-branch of Ad-Hoc Networks which provide safety and comfort features together with related services for the vehicle operators. RREQ flood attack mostly encountered in the literature for security of VANET. Due to the nature of the reactive protocols, the AODV routing protocol is quite open to attack types such as flood attack. Flood attacks occur in the network layer. The impact of flood attacks is not about victim nodes, it can be also affect the whole network. A malicious attack that could be carried out in VANET could cause accidents that would cause a serious disaster. A malicious node could penetrate into the IP addresses on a Flood Attack based User Datagram Protocol (UDP) to breakdown the data communication between two vehicles. The main purpose of this paper is to detect and prevent the flood attack, during the operation of the routing protocol and to decrease the end-to-end delay on the network.

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SmartBuoy: A Machine Learning-Based Detection Method for Interest Flooding Attacks in VNDN

Xu,

Zhang,

Zeng

et al. 2024

Communications in Computer and Information Science

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FIFA: Fighting against Interest Flooding Attack in NDN-based VANET

Cited by 6 publications

References 11 publications

On the realization of VANET using named data networking: On improvement of VANET using NDN‐based routing, caching, and security

On the realization of VANET using named data networking: On improvement of VANET using NDN‐based routing, caching, and security

FA-AODV: Flooding Attacks Detection Based Ad Hoc On-Demand Distance Vector Routing Protocol for VANET

SmartBuoy: A Machine Learning-Based Detection Method for Interest Flooding Attacks in VNDN

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