MARC details
| 000 -LEADER |
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| fixed length control field |
02622nam a22002177a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20220406123457.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
220406b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9783030604271 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
363.2596 |
| Item number |
MON |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Montasari, Reza. |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Digital forensic investigation of Internet of Things (IoT) devices |
| Statement of responsibility, etc. |
Reza Montasari; Hamid Jahankhani; Richard Hill; Simon Parkinson |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Cham, Switzerland : |
| Name of publisher, distributor, etc. |
Springer, |
| Date of publication, distribution, etc. |
2021. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Page number |
viii, 285 pages) : |
| Other physical details |
illustrations (chiefly color). |
| Dimensions |
24 cm. |
| 440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE |
|---|
| Title |
Advanced sciences and technologies for security applications |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Title |
1. Emulation vs Instrumentation for Android Malware Detection --<br/> |
| -- |
2. Towards a Generic Approach of Quantifying Evidence Volatility in Resource Constrained Devices --<br/> |
| -- |
3. Application of Artificial Intelligence and Machine Learning in Producing Actionable Cyber Threat Intelligence --<br/> |
| -- |
4. Drone Forensics: The impact and Challenges --<br/> |
| -- |
5. Intrusion Detection and CAN Vehicle Networks. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
This book provides a valuable reference for digital forensics practitioners and cyber security experts operating in various fields of law enforcement, incident response and commerce. It is also aimed at researchers seeking to obtain a more profound knowledge of Digital Forensics and Cybercrime. Furthermore, the book is an exceptional advanced text for PhD and Master degree programmes in Digital Forensics and Cyber Security. Each chapter of this book is written by an internationally-renowned expert who has extensive experience in law enforcement, industry and academia. The increasing popularity in the use of IoT devices for criminal activities means that there is a maturing discipline and industry around IoT forensics. As technology becomes cheaper and easier to deploy in an increased number of discrete, everyday objects, scope for the automated creation of personalised digital footprints becomes greater. Devices which are presently included within the Internet of Things (IoT) umbrella have a massive potential to enable and shape the way that humans interact and achieve objectives. These also forge a trail of data that can be used to triangulate and identify individuals and their actions. As such, interest and developments in autonomous vehicles, unmanned drones and 'smart' home appliances are creating unprecedented opportunities for the research communities to investigate the production and evaluation of evidence through the discipline of digital forensics. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Computer security |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Digital forensic science |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Computer crimes |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) |
|---|
| -- |
5162 |
