Secure Data Science, that integrates Cyber Security and Data Science, is becoming one of the critical areas both in Cyber Security and Data Science. This is because the novel data science techniques being developed have applications in solving cyber security problems such as Intrusion Detection, Malware Analysis and Insider Threat Detection. However, the data science techniques being applied not only for cyber security but for every application area including Healthcare, Finance, Manufacturing and Marketing could be attacked by malware. Furthermore, due to the power of data science, it is now possible to infer highly private and sensitive information from public data which could result in the violation of individual privacy. This book is the first such book that provides a comprehensive overview of integrating both cyber security and data science and discusses both theory and practice in Secure Data Science. After an overview of security and privacy for big data services as well as cloud computing, this book describes applications of data science for cyber security applications. In particular data science for applications such as malware analysis and insider threat detection are discussed. Then it discusses trends in areas such as adversarial machine learning and provides solutions to the attacks on the data science techniques. In particular, it discusses some emerging trends in carrying out trustworthy analytics so that the analytics techniques can be secured against malicious attacks. Then it focuses on the privacy threats due to the collection of massive amounts of data and potential solutions. Following a discussion on the integration of services computing including cloud-based services for secure data science, it looks at applications of secure data science to information sharing and social media. This book is a useful resource for researchers, software developers, educators and managers who want to understand both the high level concepts as well as the technical details on the design and implementation of secure data science-based systems. It can also be used as a reference book for a graduate course in Secure Data Science. Furthermore, the book provides numerous references that would be helpful for the reader to get more details about Secure Data Science.

Book Information
ISBN 9780367534103
Author Bhavani Thuraisingham
Format Hardback
Page Count 344
Imprint CRC Press
Publisher Taylor & Francis Ltd
Weight(grams) 178g