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標題: 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 [打印本頁]

作者: 巡洋    時間: 2025-3-21 20:01
書目名稱Big Digital Forensic Data影響因子(影響力)




書目名稱Big Digital Forensic Data影響因子(影響力)學科排名




書目名稱Big Digital Forensic Data網(wǎng)絡公開度




書目名稱Big Digital Forensic Data網(wǎng)絡公開度學科排名




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書目名稱Big Digital Forensic Data被引頻次學科排名




書目名稱Big Digital Forensic Data年度引用




書目名稱Big Digital Forensic Data年度引用學科排名




書目名稱Big Digital Forensic Data讀者反饋




書目名稱Big Digital Forensic Data讀者反饋學科排名





作者: THROB    時間: 2025-3-21 23:27
https://doi.org/10.1007/978-981-13-0263-3Big forensic data; Big digital forensic data; Cyber forensics; Cyber threat evidence; Cyber threat hunti
作者: 繁殖    時間: 2025-3-22 01:23
978-981-13-0262-6The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd., part of Springer Natur
作者: Adj異類的    時間: 2025-3-22 07:46
Kinetics of Ion Pumps and Channels,In Volume 1, the Digital Forensic Data Reduction Framework was outlined, which includes the process of data reduction; Data Reduction by Selective Imaging (DRbSI).
作者: keloid    時間: 2025-3-22 09:34
Quantification of the Environmental Impact,In the previous chapter, the process of quick analysis of data subsets and full forensic images was detailed. This next chapter examines the process of data reduction and analysis of mobile phones and disparate devices.
作者: 嬉耍    時間: 2025-3-22 15:55
https://doi.org/10.1007/978-1-4419-1772-0This chapter focuses on the externally sourced data aspect of the framework, and explores a process of data mining to extract entity information and a process of fusion with external source data to improve the knowledge discovery potential and intelligence from digital forensic data holdings.
作者: 脆弱么    時間: 2025-3-22 17:16
https://doi.org/10.1007/978-1-4419-1772-0In 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.
作者: Keratin    時間: 2025-3-22 22:33
Quick Analysis of Digital Forensic Data,In Volume 1, the Digital Forensic Data Reduction Framework was outlined, which includes the process of data reduction; Data Reduction by Selective Imaging (DRbSI).
作者: 油氈    時間: 2025-3-23 05:08
Data Reduction of Mobile Device Extracts,In the previous chapter, the process of quick analysis of data subsets and full forensic images was detailed. This next chapter examines the process of data reduction and analysis of mobile phones and disparate devices.
作者: 搖晃    時間: 2025-3-23 08:32
Digital Forensic Data and Open Source Intelligence (DFINT+OSINT),This chapter focuses on the externally sourced data aspect of the framework, and explores a process of data mining to extract entity information and a process of fusion with external source data to improve the knowledge discovery potential and intelligence from digital forensic data holdings.
作者: CRANK    時間: 2025-3-23 12:29
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.
作者: Banquet    時間: 2025-3-23 16:49

作者: addict    時間: 2025-3-23 18:27
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
作者: 相反放置    時間: 2025-3-24 01:16
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.
作者: 新字    時間: 2025-3-24 05:51

作者: Champion    時間: 2025-3-24 06:53

作者: Amendment    時間: 2025-3-24 12:24
Big Digital Forensic Data978-981-13-0263-3Series ISSN 2522-5561 Series E-ISSN 2522-557X
作者: 合并    時間: 2025-3-24 18:28

作者: bioavailability    時間: 2025-3-24 20:52
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..
作者: TRACE    時間: 2025-3-25 00:28
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
作者: 膽大    時間: 2025-3-25 06:08
2522-5561 ate digital forensic data holdings.Discusses a process for t.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
作者: 最小    時間: 2025-3-25 08:17
Kinetics of Ion Pumps and Channels,ce. 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 one result of this (Justice and UDo .; Parsonage .) which the growing size of devices contributes (Garfinkel .), often now consisting of many terabytes of data for each investigation.
作者: enlist    時間: 2025-3-25 14:59
Introduction,ce. 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 one result of this (Justice and UDo .; Parsonage .) which the growing size of devices contributes (Garfinkel .), often now consisting of many terabytes of data for each investigation.
作者: CBC471    時間: 2025-3-25 19:13
Introduction,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
作者: 滔滔不絕地說    時間: 2025-3-25 22:35

作者: 防銹    時間: 2025-3-26 03:40
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