Network Intrusion Detection Using Machine Learning in Vanets: A Review
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 6
Abstract
Vehicular Ad-hoc Network (VANETs) aids the vehicles to form a self-organized network in the absence of centralized infrastructure. It is the constituent of MANET and supports intelligent transport system (ITS). Each node is free to move independently in an ad-hoc network. In absence of centralized architecture, security becomes the crucial aspect of VANET. Cryptographic techniques such as digital signatures and encryption are unable to deal with unknown attacks. In order to deal with this issue, there is need of other technique to “detect and notify” these unknown attacks i.e. intrusion detection. An Intrusion Detection System (IDS) is a set of software that monitors a single or a network of computers for malicious activities (attacks) aiming at stealing or tampering data or corrupting network protocol usual routing behavior. This paper focuses on possible security attacks in VANETs and introduced the concept of intrusion detection system to combat against these attacks. It also discusses machine learning techniques for security in VANETs.
Authors and Affiliations
Priyanka Gulati, Kamal Gupta
Keywords
Related Articles
- EP ID EP24795
- DOI -
- Views 486
- Downloads 14
Privacy public cloud auditing by using KAC for scalable data sharing
Data sharing is an important role in cloud computing. Cloud computing technology is commonly used so that the data or information can be outsourced on cloud which is easily accessed. The objective is we show how to shar...
slugEffects of Extraction Techniques on Total Flavonoids, Phenols and Antioxidant Activity of Different Plants Extract
Among the known fruits and vegetables, darkcoloured fruits and vegetables have been reported to be good sources of phenolics, including flavonoids, anthocyanins and carotenoids and are recognized as more he...
Review Of Brain Tumor Detection Using MRI Images
Brain tumor is introduced as life-threatening diseases and hence its need to detect this diseasesfast and accurate. This can be worked out by the execution of automated tumor detection techniques on medical images. MRI...
Realities of supply chain collaboration
This paper aims to investigate the gap between the interests in supply chain collaboration (SCC) and the relatively few recorded cases of successful applications – this is the reality of SCC. Design/methodology/approac...
Productivity enhancement of Trimdek using Guard Film Roller Stand and Auto-Stacker
This paper addresses the productivity enhancement of Trimdek profile using Guard Film Roller Stand and Auto Stacker. It also consider the topic of formation of trimdek (square-fluted steel cladding) by TRFM (Trimdek Rol...