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Today, traffic security has become an obligation rather than a necessity. Hence to secure the traffic, provide comfort to the driver and the passengers, ensure safety of the pedestrians, infrastructure as well as the one’s sitting inside the cars, Intelligent Transport System (ITS) was created. The base of ITS is formed by a class of networks called as VANET. The VANETs make communication between vehicles and vehicle to infrastructure possible. They vary from other Ad-hoc network because of their rare characteristics. VANETs are the networks which lack centralized control and infrastructure, in which the nodes are highly mobile, topology is extremely dynamic and the links are volatile. Consequently, VANET security is threatened- the network is vulnerable to number of mischief. The easiest of all the attacks on VANETs is that on the availability – the Black-hole attack. This attack is carried out by the malicious nodes which can even be the authentic users of the network, implying that the security procedures involving encryption and authentication will not help. Therefore, to secure the VANETs against this common type of attack, we have proposed an algorithm MNP-Malicious Node Prevention. MNP improves DMV (Detection of Malicious Vehicle algorithm) as well as DMN (Detection of Malicious Nodes algorithm) in a way that MNP simply prevents the malicious nodes from participating in the packet forwarding while as both DMV & DMN first identify the malicious nodes and then remove them. This way, DMV as well as DMN cause the loss of many data packets which may be important. Hence MNP greatly improves the performance of the network when under malicious attack.

Keywords

ITS, VANET, Black Hole Attack, MNP, DMV, DMN.

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A Diffie-Hellman and Two Step Verification based Secure Cloud Computing Paradigm

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Authors

Mir Shahnawaz Ahmad ¹, Syed Rameem Zahra ²

Affiliations
1 Institute of Technology, University of Kashmir, J&K, IN
2 Shri Mata Vaishno Devi University, J&K, IN

Source

International Journal of Computer Networks and Applications, Vol 5, No 3 (2018), Pagination: 22-31

Abstract

The foundation of cloud computing has been laid on five important traits: self-service on appeal, wide network access, pooling of resources (location independence), quick elasticity and quantified service. In least complex terms, it is to say that any cloud product (whether infrastructure, platform or software) is offered in a way that it can be rented by consumers over the internet (pay for what you use on demand). Owing to all these characteristics, there are enormous advantages from the viewpoint of both the vendor and the user and hence the cloud is gaining limelight day by day. However, it should not be forgotten that every coin has two sides; the level of dangers against IT frameworks is specifically corresponding to the level of developing technology. In order to make any new reliable technology, the security professionals need to pay attention to discover any new threats that could possibly be launched against it. Cloud computing has various issues, like privacy issues, confidentiality of user’s data etc. which majorly depress the extensive benefits of cloud computing is restricted. Also, the concept of multi-tenancy offered by cloud computing poses new challenges to the security professionals. In this research article, we enlighten the security issues related to cloud computing and propose the corresponding possible solutions to balance out these threats.

Keywords

Cloud Computing, Security Issues, Multi-Tenancy, Privacy, Confidentiality.

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