Big Digital Forensic Data

  • Quick D
  • Choo K
N/ACitations
Citations of this article
14Readers
Mendeley users who have this article in their library.

Abstract

The series aims to develop and disseminate an understanding of innovations, paradigms, techniques, and technologies in the contexts of cyber security systems and networks related research and studies. It publishes thorough and cohesive overviews of state-of-the-art topics in cyber security, as well as sophisticated techniques, original research presentations and in-depth case studies in cyber systems and networks. The series also provides a single point of coverage of advanced and timely emerging topics as well as a forum for core concepts that may not have reached a level of maturity to warrant a comprehensive textbook. It addresses security, privacy, availability, and dependability issues for cyber systems and networks, and welcomes emerging technologies, such as artificial intelligence, cloud computing, cyber physical systems, and big data analytics related to cyber security research. The mainly focuses on the following research topics: Fundamentals and Theories

Cite

CITATION STYLE

APA

Quick, D., & Choo, K.-K. R. (2018). Big Digital Forensic Data (Vol. 2). Springer Singapore. Retrieved from http://www.springer.com/series/15797 http://www.springer.com/series/15797%0Ahttps://link.springer.com/content/pdf/10.1007/978-981-13-0263-3.pdf http://link.springer.com/10.1007/978-981-10-7763-0

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free