Titlebook: Computing Science, Communication and Security; Third International Nirbhay Chaubey,Sabu M. Thampi,Noor Zaman Jhanjhi Conference proceeding

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,One-to-One Matching for Cooperative Resource Sharing and Communication in CRNs,rum scarcity problem by sharing scare spectrum resources (bandwidth, access time) among cooperative users and thus improves spectrum efficiency. In this paper, a partner-assignment scheme for cooperative communication is proposed for multiple primary users (PUs) and secondary users (SUs) Cognitive R

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,Sandbox Environment for Real Time Malware Analysis of IoT Devices,f Service (DDoS), Eavesdropping, Privilege Escalation, etc. With a lack of research in IoT security, there are lake solutions to analyze the advanced malware in a secure environment to understand IoT malware behavior. This paper has proposed a sandbox environment concept model that analyses malware,

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一回合

Traffic Flow Prediction Using Deep Learning Techniques,lop a smart city, data related to traffic flow is essential. Many Intelligent Transportation Systems now employ the ongoing technology to predict the traffic flow, reduce road accidents, and anticipate vehicle speed, and so on. However, the prediction that considers some other factors as environment

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Meta Heuristic Backtracking Algorithm for Virtual Machine Placement in Cloud Computing Migration,puting served as a backbone for almost all industries across the globe by its humongous computing facility. This necessitates numerous algorithms for the best usage of cloud resources namely virtual machines (VM). One such technique is our proposed meta heuristic Backtracking algorithm for finding a

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,Achieving Energy Efficiency in Life-Logging Applications of Internet of Things Using Data Compressiof a human. These devices have a combination of sensors that capture the respective biosignals and report the recorded data to the edge device (usually a mobile phone) which in turn acts as a primary communicator delivering the data over cloud for storage and future analysis. As this huge amount of

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Cab Fare Prediction Using Machine Learning,mand, many companies have sprung up to offer cab rides to users. However, few companies charge higher fares for the same route. Therefore, customers have to pay an unwanted high amount even though the prices should be lower. The main objective is to estimate travel costs before booking a cab to have

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