Titlebook: Versatile Cybersecurity; Mauro Conti,Gaurav Somani,Radha Poovendran Book 2018 Springer Nature Switzerland AG 2018 Security.Privacy.Cyber P

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Giovanni Di Crescenzoll and Darlington [1977], that has become known as the unfold/fold system, offers a very simple formal base which is nevertheless capable of achieving a wide class of transformations. However significant transformations expressed solely in terms of these rules became too complex to be communicated o

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Suresh Kothari,Ganesh Ram Santhanam,Payas Awadhutkar,Benjamin Holland,Jon Mathews,Ahmed Tamrawi Care Consultant, a large BASIC program for critical care applications (St. Louis, C. V. Mosby, 1985). Working with clinicians showed me that many were interested in learning about clinical applications of computers (and even programming in small doses) but were faced with a paucity of clinical appl

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Gulshan Kumar Singh,Gaurav Somanilätzen nicht mehr uneingeschränkt anwendbar ist. Eine Strukturierung oder Aufteilung in einen kreativen und einen produktiven Schaffensprozeß macht die aktuellen Probleme, welche durch deren Verschmelzung entstanden sind, wesentlich deutlicher. Es ist heute unübersehbar, daß vielfältige Tätigkeiten,

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1568-2633 evant open research directions at the end of each chapter.Ta.Cyber security research is one of the important areas in the computer science domain which also plays a major role in the life of almost every individual, enterprise, society and country, which this book illustrates. A large number of adva

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Cross-VM Attacks: Attack Taxonomy, Defense Mechanisms, and New Directions,pter features a taxonomic classification of the cross-VM attacks and discusses the attacks space and the solution space to combat the cross-VM attacks. We also explain new sophistication in the cross-VM attack space and provide a comprehensive discussion to the solution design and guidelines.

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An Android-Based Covert Channel Framework on Wearables Using Status Bar Notifications,t of Things (IoT) devices. Particularly, we were able to make a covert channel using notifications a user gets from everyday applications. The chapter will also present this covert channel by discussing the framework, evaluating the performance, and demonstrating the functionality and flexibility of the proposed model.

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Insider Threat Detection: Machine Learning Way,ls impact of an insider attack on various sectors. Presenting state-of-the-art for detecting insider threat based on psychology, criminology and game theory, the chapter also covers case studies showing use of Machine Learning for anomaly detection. In real life, malicious events are low in number.

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