Enterprise Security Second International Workshop, ES 2015, Vancouver, BC, Canada, November 30 – December 3, 2015, Revised Selected Papers

Enterprise security is an important area since all types of organizations require secure and robust environments, platforms and services to work with people, data and computing applications. The book provides selected papers of the Second International Workshop on Enterprise Security held in Vancouv...

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Bibliographic Details
Other Authors: Chang, Victor (Editor), Ramachandran, Muthu (Editor), Walters, Robert J. (Editor), Wills, Gary (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2017, 2017
Edition:1st ed. 2017
Series:Security and Cryptology
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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505 0 |a Challenges of Cloud Forensics -- Iris Biometrics Recognition in Security Management -- An Approach to Organizational Cybersecurity -- Protecting Document Outside Enterprise Network 
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653 |a Cryptography 
653 |a Algorithms 
653 |a Electronic data processing / Management 
653 |a Application software 
653 |a Computer networks  
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653 |a Data encryption (Computer science) 
653 |a Cryptology 
653 |a Computer and Information Systems Applications 
653 |a Data and Information Security 
653 |a IT Operations 
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520 |a Enterprise security is an important area since all types of organizations require secure and robust environments, platforms and services to work with people, data and computing applications. The book provides selected papers of the Second International Workshop on Enterprise Security held in Vancouver, Canada, November 30-December 3, 2016 in conjunction with CloudCom 2015. The 11 papers were selected from 24 submissions and provide a comprehensive research into various areas of enterprise security such as protection of data, privacy and rights, data ownership, trust, unauthorized access and big data ownership, studies and analysis to reduce risks imposed by data leakage, hacking and challenges of Cloud forensics