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Due to proliferation in the metropolitan areas there existing problem of poor traffic congestion has grown at alarming event and it is not easy to find the stolen vehicles. So here we use Theft vehicle detection system for finding the theft vehicles using open source hardware of RASPBERRY PI.This system make use of RFID and embedded technology. Here each vehicle is placed with RFID tag. Whenever the RFID reader reads the RFID tag in the stolen vehicle it alert the traffic police and the signal will be automatically changed into red light until the vehicle is recovered from the stolen person. This is achieved by connecting cloud technology with server which is handle by the traffic police. When the traffic controller ensures that the particular vehicle is missed then, whenever that particular vehicle crossed by the any signal red light blinks automatically then cloud displays the message with vehicle number.By using this system, we can alert the signal and can easily find the stolen vehicle by tracking the RFID tag., QC 20171101

This paper proposes a new cloud intrusion detection system for detecting the intruders in a traditional hybrid virtualized, cloud environment. The paper introduces an effective feature selection algorithm called Temporal Constraint based on Feature Selection algorithm and also proposes a classification algorithm called hybrid decision tree. This hybrid decision tree has been developed by extending the Enhanced C4.5 algorithm an existing decision tree based classifier. Furthermore, the experiments conducted on the sample Cloud Intrusion Detection Datasets (CIDD) show that the proposed cloud intrusion detection system provides better detection accuracy than the existing work and reduces the false positive rate., QC 20160519

Cloud computing has revolutionized the IT industry by enabling a virtualized resource provisioning model for organizations. The Network-as-a-Service (NaaS) provisioning model enables new ways of providing virtually isolated and on-demand networking capabilities in existing cloud provisioning models, resulting in best-effort performance, scalable data throughput, reduced latency, and reduced configuration complexity. In this paper we propose V2C, an elastic Vehicle-to-Cloud infrastructure that integrates NaaS into the automotive ecosystem and enables provisioning of vehicle-based services for automobile users. However, V2C introduces various security challenges and the main objective of this paper is to propose a secure provisioning model to address them., QC 20121018