Titlebook: Security Issues and Privacy Threats in Smart Ubiquitous Computing; Parikshit N. Mahalle,Gitanjali R. Shinde,Aboul Ell Book 2021 The Editor

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Ransomware Attack Detection and Prevention for Android Devices Therefore, whenever a new app is being installed, it is significant and important to assess its security hazard by examining the mentioned consents and metadata by the application during its installation lifetime. It is possible to collect the information about permissions asked by the installing a

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A Comparative Analysis of Machine Deep Learning Algorithms for Intrusion Detection in WSNerent types of attacks. Once we detect the attack properly, we can prevent it accordingly. We are using WSN-DS. It has 4 classes of attacks which are Grayhole, Blackhole, TDMA(Scheduling), and Flooding which comes under the category of DOS attacks. In this chapter, we have analysed and compared the

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Base for Trust Score Estimation for Device to Device Communication in Internet of Thing Using Fuzzy . Output of the fuzzy approach is the crisp value ([0–1]) and linguistic value set ([Trust, Ignorance, and Distrust]). We have generated two real time datasets and compare them to check if the proposed method is correct or not. Also, we have proposed a machine learning model which can be used in the

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Systematic Review of Resource Allocation Methods Using Scheduling for M2M (Machine to Machine Commun allocation. Important issues such as delay or jitter within the network should be avoided for critical case applications such as fire detection, building health monitoring, smoke detection, disaster management, and intrusion detection. For IoT networks, network transmission time should be less and

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Book 2021in endeavour of this book is threat analysis and activity modelling of attacks in order to give anactual view of the ubiquitous computing applications. The unique approach will help readers for a better understanding..

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Correction to: A Comparative Analysis of Machine Enep Learning Algorithms for Intrusion Entection i

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