Informatics Publishing Limited

S. Virushaba Doss ¹, S. Raichal ²

Affiliations
1 Saraswathi Velu College of Engineering, Department of Computer Applications, Sholinghur, Tamilnadu, IN
2 Department of Computer Science, Saveetha University, Tamilnadu, IN

Abstract

The introduction of mobile devices into wireless sensor network systems has attracted significant attention in recent years. Mobile devices can provide a bridging mechanism to connect geographically separated sensor networks, forming a global coverage sensing network. Closest Neighbor First Search (CNFS) algorithm has taken here for an efficient query processing for mobile sensor networks. It is a walk-based algorithm that is biased to visit nodes close to the source first which is accomplished by collecting topology information about the network. The mobility of a node causes some changes in the network topology that could otherwise cause the query to fail. Therefore CNFS requires fewer messages to process a query than flooding-based algorithms, while tolerating node mobility better than random walk-based algorithms. Its success rate is comparable to flooding-based algorithms in dense networks and slightly worse in sparse networks.

Keywords

Neighbor First Search, Wireless, Flooding Algorithm, Robust, Peer-Peer.

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S. Raichal ¹, R. Nedunchelian ²

Affiliations
1 Department of Computer Science, Saveetha School of Engineering, Saveetha University, Thandalam, Chennai, IN
2 Computer Science Department, Saveetha School of Engineering, Saveetha University, Thandalam, Chennai, IN

Abstract

Cloud Security has involved a lot of research in past few years. Generally, attackers can discover vulnerabilities of a cloud system and virtual machines are compromised to install further large-scale Distributed Denial-of-Service (DDoS). DDoS attacks involves many stages such as multi-step utilization, low frequency vulnerability scanning, and compromise identified vulnerable virtual machines as zombies, and finally DDoS attacks through the compromised zombies. Within the cloud system, especially the Infrastructure-as-a-Service (IaaS) clouds, the discovery of zombie exploration attacks is really hard. It’s for the reason that the cloud users may install vulnerable applications on their virtual machines. To prevent vulnerable virtual machines from being compromised in the cloud, the proposed method is a multi-phase distributed vulnerability detection and protection mechanism as a System called NICE, which is made on attack graph based analytical models and reconfigurable virtual network-based defenses. The suggested framework forces Open Flow network programming APIs to build a monitor and control plane over distributed programmable virtual switches in order to significantly improve attack detection and improve attack consequences. The system and security evaluations exhibit the efficiency and usefulness of the solution proposed for the attack.

Keywords

Network Security, Cloud Computing, Intrusion Detection, Zombie Detection.

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