Big Digital Forensic Data : Volume 1: Data Reduction Framework and Selective Imaging
وضعیت نشر و پخش و غیره
محل نشرو پخش و غیره
Singapore
نام ناشر، پخش کننده و غيره
Springer
تاریخ نشرو بخش و غیره
2018
مشخصات ظاهری
نام خاص و کميت اثر
XV, 96 p. 6 illus., 5 illus. in color
یادداشتهای مربوط به عنوان و پدیدآور
متن يادداشت
by Darren Quick, Kim-Kwang Raymond Choo
یادداشتهای مربوط به مسئولیت معنوی اثر
متن يادداشت
This book provides an in-depth understanding of big data challenges to digital forensic investigations, also known as big digital forensic data. It also develops the basis of using data mining in big forensic data analysis, including data reduction, knowledge management, intelligence, and data mining principles to achieve faster analysis in digital forensic investigations. By collecting and assembling a corpus of test data from a range of devices in the real world, it outlines a process of big data reduction, and evidence and intelligence extraction methods. Further, it includes the experimental results on vast volumes of real digital forensic data. The book is a valuable resource for digital forensic practitioners, researchers in big data, cyber threat hunting and intelligence, data mining and other related areas.
موضوع (اسم عام یاعبارت اسمی عام)
عنصر شناسه ای
، Application software
عنصر شناسه ای
، Computer science
عنصر شناسه ای
، Computer security
رده بندی کنگره
شماره رده
AZ
105
.
Q88
2018
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )