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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

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發(fā)表于 2025-3-21 20:01:55 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Big Digital Forensic Data
期刊簡(jiǎn)稱Volume 2: Quick Anal
影響因子2023Darren Quick,Kim-Kwang Raymond Choo
視頻videohttp://file.papertrans.cn/186/185739/185739.mp4
發(fā)行地址Volume 2 of first book on big digital forensic data.Presents a rapid analysis method to identify key evidence and intelligence within disparate digital forensic data holdings.Discusses a process for t
學(xué)科分類SpringerBriefs on Cyber Security Systems and Networks
圖書封面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
影響因子.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 digital forensic data analysis for evidence and intelligence. It includes the results of experiments 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..
Pindex Book 2018
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發(fā)表于 2025-3-21 23:27:36 | 只看該作者
https://doi.org/10.1007/978-981-13-0263-3Big forensic data; Big digital forensic data; Cyber forensics; Cyber threat evidence; Cyber threat hunti
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發(fā)表于 2025-3-22 01:23:39 | 只看該作者
978-981-13-0262-6The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd., part of Springer Natur
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發(fā)表于 2025-3-22 07:46:44 | 只看該作者
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).
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發(fā)表于 2025-3-22 09:34:44 | 只看該作者
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.
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發(fā)表于 2025-3-22 15:55:26 | 只看該作者
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.
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發(fā)表于 2025-3-22 17:16:57 | 只看該作者
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.
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發(fā)表于 2025-3-22 22:33:36 | 只看該作者
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).
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發(fā)表于 2025-3-23 05:08:47 | 只看該作者
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.
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發(fā)表于 2025-3-23 08:32:55 | 只看該作者
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.
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