front cover of Authentication Technologies for Cloud Computing, IoT and Big Data
Authentication Technologies for Cloud Computing, IoT and Big Data
Yasser M. Alginahi
The Institution of Engineering and Technology, 2019
Critical systems and infrastructure rely heavily on ICT systems and networks where security issues are a major concern. Authentication methods verify that messages come from trusted sources and guarantee the smooth flow of information and data. In this edited reference, the authors present state-of-art research and development in authentication technologies including challenges and applications for Cloud Technologies, IoT and Big Data. Topics covered include authentication; cryptographic algorithms; digital watermarking; biometric authentication; block ciphers with applications in IoT; identification schemes for Cloud and IoT; authentication issues for Cloud applications; cryptography engines for Cloud based on FPGA; and data protection laws.
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front cover of Cloud and Fog Computing in 5G Mobile Networks
Cloud and Fog Computing in 5G Mobile Networks
Emerging advances and applications
Evangelos Markakis
The Institution of Engineering and Technology, 2017
Cloud computing is a key trend in computing and networking. Now diffused among end-users devices in mobile and wireline networks, the cloud is becoming the "fog". This book presents frameworks and schemes that use devices from end-users or near-users to carry out storage, communication, computation and control in the network. These novel approaches support the Internet of Things, the efficient provision of heterogeneous 5G mobile services, as well as emerging applications over future wireless network architectures. Elaborating on the emerging mobile networking paradigms for the 2020 5G timeframe, this book presents new connectivity services that are highly scalable and programmable in terms of speed, capacity, security, reliability, availability, latency and impact on battery life. Finally, the book discusses recent and new developments, prompting future directions on the theories, practices, standards and strategies related to 5G mobile systems.
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front cover of Cloud Ethics
Cloud Ethics
Algorithms and the Attributes of Ourselves and Others
Louise Amoore
Duke University Press, 2020
In Cloud Ethics Louise Amoore examines how machine learning algorithms are transforming the ethics and politics of contemporary society. Conceptualizing algorithms as ethicopolitical entities that are entangled with the data attributes of people, Amoore outlines how algorithms give incomplete accounts of themselves, learn through relationships with human practices, and exist in the world in ways that exceed their source code. In these ways, algorithms and their relations to people cannot be understood by simply examining their code, nor can ethics be encoded into algorithms. Instead, Amoore locates the ethical responsibility of algorithms in the conditions of partiality and opacity that haunt both human and algorithmic decisions. To this end, she proposes what she calls cloud ethics—an approach to holding algorithms accountable by engaging with the social and technical conditions under which they emerge and operate.
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Cloud-Based Services for Your Library
A LITA Guide
Erik T. American Library Association
American Library Association, 2013

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Getting Started with Cloud Computing
A LITA Guide
American Library Association
American Library Association, 2011


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