Internformat: Aiding forensic investigation through deep learning and machine learning frameworks

Aiding forensic investigation through deep learning and machine learning frameworks:

It is crucial that forensic science meets challenges such as identifying hidden patterns in data, validating results for accuracy, and understanding varying criminal activities in order to be authoritative so as to hold up justice and public safety. Artificial intelligence, with its potential subset...

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Weitere Verfasser:	Gentry, Jennifer (HerausgeberIn), Mahesh, Vijayalakshmi G. V. (HerausgeberIn), Nerssison, Ruban (HerausgeberIn), Raj, Alex Noel Joseph (HerausgeberIn), Yu, Ang (HerausgeberIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, 2022.
Schlagworte:	Criminal investigation > Data processing. Deep learning (Machine learning) Forensic sciences > Data processing. Machine learning. Electronic books.
Online-Zugang:	Volltext
Zusammenfassung:	It is crucial that forensic science meets challenges such as identifying hidden patterns in data, validating results for accuracy, and understanding varying criminal activities in order to be authoritative so as to hold up justice and public safety. Artificial intelligence, with its potential subsets of machine learning and deep learning, has the potential to transform the domain of forensic science by handling diverse data, recognizing patterns, and analyzing, interpreting, and presenting results. Machine Learning and deep learning frameworks.
Beschreibung:	18 PDFs (273 pages) Also available in print.
Format:	Mode of access: World Wide Web.
Bibliographie:	Includes bibliographical references and index.
ISBN:	9781668445600
Zugangseinschränkungen:	Restricted to subscribers or individual electronic text purchasers.

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245	0	0	\|a Aiding forensic investigation through deep learning and machine learning frameworks \|c Alex Noel Joseph Raj, Vijayalakshmi G.V. Mahesh, Ruban Nersisson, Ang Yu, and Jennifer Gentry, editors.
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504			\|a Includes bibliographical references and index.
505	0		\|a Chapter 1. A review on forensic science and criminal investigation through a deep learning framework -- Chapter 2. Digital forensic techniques and principles in a cloud environment -- Chapter 3. IoT-deep learning-based detection of cyber security threats -- Chapter 4. Deep learning models for cyber security in IoT networks -- Chapter 5. Deep learning-based AI modeling, intrusion detection -- Chapter 6. Face detection and recognition from distance based on deep learning -- Chapter 7. Investigation of deep fake images using pre-trained CNN frameworks -- Chapter 8. Implementation of machine learning-aided speech analysis for speaker accent identification applied to audio forensics -- Chapter 9. Medical image encryption using distance-based biokey generation -- Chapter 10. Deep learning-based automatic student authentication.
506			\|a Restricted to subscribers or individual electronic text purchasers.
520	3		\|a It is crucial that forensic science meets challenges such as identifying hidden patterns in data, validating results for accuracy, and understanding varying criminal activities in order to be authoritative so as to hold up justice and public safety. Artificial intelligence, with its potential subsets of machine learning and deep learning, has the potential to transform the domain of forensic science by handling diverse data, recognizing patterns, and analyzing, interpreting, and presenting results. Machine Learning and deep learning frameworks.
530			\|a Also available in print.
538			\|a Mode of access: World Wide Web.
588			\|a Description based on title screen (IGI Global, viewed 09/10/2022).
650		0	\|a Criminal investigation \|x Data processing.
650		0	\|a Deep learning (Machine learning)
650		0	\|a Forensic sciences \|x Data processing.
650		0	\|a Machine learning.
655		0	\|a Electronic books.
700	1		\|a Gentry, Jennifer, \|e editor.
700	1		\|a Mahesh, Vijayalakshmi G. V., \|e editor.
700	1		\|a Nerssison, Ruban, \|e editor.
700	1		\|a Raj, Alex Noel Joseph, \|e editor.
700	1		\|a Yu, Ang, \|e editor.
710	2		\|a IGI Global, \|e publisher.
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contents	Chapter 1. A review on forensic science and criminal investigation through a deep learning framework -- Chapter 2. Digital forensic techniques and principles in a cloud environment -- Chapter 3. IoT-deep learning-based detection of cyber security threats -- Chapter 4. Deep learning models for cyber security in IoT networks -- Chapter 5. Deep learning-based AI modeling, intrusion detection -- Chapter 6. Face detection and recognition from distance based on deep learning -- Chapter 7. Investigation of deep fake images using pre-trained CNN frameworks -- Chapter 8. Implementation of machine learning-aided speech analysis for speaker accent identification applied to audio forensics -- Chapter 9. Medical image encryption using distance-based biokey generation -- Chapter 10. Deep learning-based automatic student authentication.
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spelling	Aiding forensic investigation through deep learning and machine learning frameworks Alex Noel Joseph Raj, Vijayalakshmi G.V. Mahesh, Ruban Nersisson, Ang Yu, and Jennifer Gentry, editors. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, 2022. 18 PDFs (273 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. A review on forensic science and criminal investigation through a deep learning framework -- Chapter 2. Digital forensic techniques and principles in a cloud environment -- Chapter 3. IoT-deep learning-based detection of cyber security threats -- Chapter 4. Deep learning models for cyber security in IoT networks -- Chapter 5. Deep learning-based AI modeling, intrusion detection -- Chapter 6. Face detection and recognition from distance based on deep learning -- Chapter 7. Investigation of deep fake images using pre-trained CNN frameworks -- Chapter 8. Implementation of machine learning-aided speech analysis for speaker accent identification applied to audio forensics -- Chapter 9. Medical image encryption using distance-based biokey generation -- Chapter 10. Deep learning-based automatic student authentication. Restricted to subscribers or individual electronic text purchasers. It is crucial that forensic science meets challenges such as identifying hidden patterns in data, validating results for accuracy, and understanding varying criminal activities in order to be authoritative so as to hold up justice and public safety. Artificial intelligence, with its potential subsets of machine learning and deep learning, has the potential to transform the domain of forensic science by handling diverse data, recognizing patterns, and analyzing, interpreting, and presenting results. Machine Learning and deep learning frameworks. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 09/10/2022). Criminal investigation Data processing. Deep learning (Machine learning) Forensic sciences Data processing. Machine learning. Electronic books. Gentry, Jennifer, editor. Mahesh, Vijayalakshmi G. V., editor. Nerssison, Ruban, editor. Raj, Alex Noel Joseph, editor. Yu, Ang, editor. IGI Global, publisher. Print version: 1668445581 9781668445587 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-4558-7 Volltext
spellingShingle	Aiding forensic investigation through deep learning and machine learning frameworks Chapter 1. A review on forensic science and criminal investigation through a deep learning framework -- Chapter 2. Digital forensic techniques and principles in a cloud environment -- Chapter 3. IoT-deep learning-based detection of cyber security threats -- Chapter 4. Deep learning models for cyber security in IoT networks -- Chapter 5. Deep learning-based AI modeling, intrusion detection -- Chapter 6. Face detection and recognition from distance based on deep learning -- Chapter 7. Investigation of deep fake images using pre-trained CNN frameworks -- Chapter 8. Implementation of machine learning-aided speech analysis for speaker accent identification applied to audio forensics -- Chapter 9. Medical image encryption using distance-based biokey generation -- Chapter 10. Deep learning-based automatic student authentication. Criminal investigation Data processing. Deep learning (Machine learning) Forensic sciences Data processing. Machine learning.
title	Aiding forensic investigation through deep learning and machine learning frameworks
title_auth	Aiding forensic investigation through deep learning and machine learning frameworks
title_exact_search	Aiding forensic investigation through deep learning and machine learning frameworks
title_full	Aiding forensic investigation through deep learning and machine learning frameworks Alex Noel Joseph Raj, Vijayalakshmi G.V. Mahesh, Ruban Nersisson, Ang Yu, and Jennifer Gentry, editors.
title_fullStr	Aiding forensic investigation through deep learning and machine learning frameworks Alex Noel Joseph Raj, Vijayalakshmi G.V. Mahesh, Ruban Nersisson, Ang Yu, and Jennifer Gentry, editors.
title_full_unstemmed	Aiding forensic investigation through deep learning and machine learning frameworks Alex Noel Joseph Raj, Vijayalakshmi G.V. Mahesh, Ruban Nersisson, Ang Yu, and Jennifer Gentry, editors.
title_short	Aiding forensic investigation through deep learning and machine learning frameworks
title_sort	aiding forensic investigation through deep learning and machine learning frameworks
topic	Criminal investigation Data processing. Deep learning (Machine learning) Forensic sciences Data processing. Machine learning.
topic_facet	Criminal investigation Data processing. Deep learning (Machine learning) Forensic sciences Data processing. Machine learning. Electronic books.
url	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-4558-7
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