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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| Other Authors: | , , , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
IGI Global
2022.
|
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| Summary: | 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. |
| Physical Description: | 18 PDFs (273 Seiten) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781668445600 |
| Access: | Restricted to subscribers or individual electronic text purchasers. |
Staff View
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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. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) |b IGI Global |c 2022. | |
| 300 | |a 18 PDFs (273 Seiten) | ||
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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. | |
| 653 | |a Augmented Reality. | ||
| 653 | |a Biometrics. | ||
| 653 | |a Cloud Forensics. | ||
| 653 | |a Cybersecurity. | ||
| 653 | |a Deep Learning. | ||
| 653 | |a Digital Forensics. | ||
| 653 | |a Document Analysis. | ||
| 653 | |a Forensic Pathology. | ||
| 653 | |a Fraud Investigation. | ||
| 653 | |a Machine Learning. | ||
| 653 | |a Video Tracking. | ||
| 655 | 0 | |a Electronic books. | |
| 700 | 1 | |a Gentry, Jennifer |d 1974- |e editor. | |
| 700 | 1 | |a Mahesh, Vijayalakshmi G. V. |d 1978- |e editor. | |
| 700 | 1 | |a Nerssison, Ruban |e editor. | |
| 700 | 1 | |a Raj, Alex Noel Joseph |d 1979- |e editor. | |
| 700 | 1 | |a Yu, Ang |d 1978- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
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| author2 | Gentry, Jennifer 1974- Mahesh, Vijayalakshmi G. V. 1978- Nerssison, Ruban Raj, Alex Noel Joseph 1979- Yu, Ang 1978- |
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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. |
| ctrlnum | (CaBNVSL)slc00003207 (OCoLC)1315579522 |
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| id | ZDB-98-IGB-00290354 |
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| isbn | 9781668445600 |
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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 Seiten) 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. Augmented Reality. Biometrics. Cloud Forensics. Cybersecurity. Deep Learning. Digital Forensics. Document Analysis. Forensic Pathology. Fraud Investigation. Machine Learning. Video Tracking. Electronic books. Gentry, Jennifer 1974- editor. Mahesh, Vijayalakshmi G. V. 1978- editor. Nerssison, Ruban editor. Raj, Alex Noel Joseph 1979- editor. Yu, Ang 1978- editor. IGI Global, publisher. Print version: 1668445581 9781668445587 |
| 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. |
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