找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Big Digital Forensic Data; Volume 2: Quick Anal Darren Quick,Kim-Kwang Raymond Choo Book 2018 The Author(s), under exclusive license to Spr

[复制链接]
楼主: 巡洋
发表于 2025-3-23 12:29:33 | 显示全部楼层
Summary,In this Volume, the process of Quick Analysis was outlined, with examples using test data and real world data used to explain the process in detail, and provide an overview of its real world application.
发表于 2025-3-23 16:49:09 | 显示全部楼层
发表于 2025-3-23 18:27:31 | 显示全部楼层
Kinetics of Ion Pumps and Channels,al devices, accompanied with a decrease in prices of devices and storage media, has contributed to a major issue affecting the timely process of justice. The ever growing volume of data seized for analysis has been raised as a major issue since 1999 (McKemmish .). Lengthy backlogs of work has been o
发表于 2025-3-24 01:16:10 | 显示全部楼层
Quantification of the Environmental Impact, a process of discovery. The need to undertake this in a timely manner is examined, including the potential for Digital Forensic Intelligence using a variety of disparate data, including DRbSI subsets, mobile device extracts, and other source data.
发表于 2025-3-24 05:51:46 | 显示全部楼层
发表于 2025-3-24 06:53:34 | 显示全部楼层
发表于 2025-3-24 12:24:38 | 显示全部楼层
Big Digital Forensic Data978-981-13-0263-3Series ISSN 2522-5561 Series E-ISSN 2522-557X
发表于 2025-3-24 18:28:41 | 显示全部楼层
发表于 2025-3-24 20:52:58 | 显示全部楼层
Book 2018 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..
发表于 2025-3-25 00:28:07 | 显示全部楼层
Book 2018lso 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 device
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 吾爱论文网 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
QQ|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-8-5 03:25
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表