Digital Forensics and Internet of Things - Impact and Challenges

DIGITAL FORENSICS AND INTERNET OF THINGS
 
It pays to be ahead of the criminal, and this book helps organizations and people to create a path to achieve this goal.
 
The book discusses applications and challenges professionals encounter in the burgeoning field of IoT forensics. IoT forensics attempts to align its workflow to that of any forensics practice--investigators identify, interpret, preserve, analyze and present any relevant data. As with any investigation, a timeline is constructed, and, with the aid of smart devices providing data, investigators might be able to capture much more specific data points than in a traditional crime. However, collecting this data can often be a challenge, as it frequently doesn't live on the device itself, but rather in the provider's cloud platform. If you can get the data off the device, you'll have to employ one of a variety of methods given the diverse nature of IoT devices hardware, software, and firmware. So, while robust and insightful data is available, acquiring it is no small undertaking.
 
Digital Forensics and Internet of Things encompasses:
* State-of-the-art research and standards concerning IoT forensics and traditional digital forensics
* Compares and contrasts IoT forensic techniques with those of traditional digital forensics standards
* Identifies the driving factors of the slow maturation of IoT forensic standards and possible solutions
* Applies recommended standards gathered from IoT forensic literature in hands-on experiments to test their effectiveness across multiple IoT devices
* Provides educated recommendations on developing and establishing IoT forensic standards, research, and areas that merit further study.
 
Audience
 
Researchers and scientists in forensic sciences, computer sciences, electronics engineering, embedded systems, information technology.

List of contents

Preface xiii
 
1 Face Recognition-Based Surveillance System: A New Paradigm for Criminal Profiling 1
Payal Singh, Sneha Gupta, Vipul Gupta, Piyush Kuchhal and Arpit Jain
 
1.1 Introduction 1
 
1.2 Image Processing 6
 
1.3 Deep Learning 7
 
1.3.1 Neural Network 9
 
1.3.2 Application of Neural Network in Face Recognition 10
 
1.4 Methodology 10
 
1.4.1 Face Recognition 10
 
1.4.2 Open CV 11
 
1.4.3 Block Diagram 11
 
1.4.4 Essentials Needed 12
 
1.4.5 Website 12
 
1.4.6 Hardware 12
 
1.4.7 Procedure 12
 
1.5 Conclusion 16
 
References 17
 
2 Smart Healthcare Monitoring System: An IoT-Based Approach 19
Paranjeet Kaur
 
2.1 Introduction 19
 
2.2 Healthcare at Clinics 21
 
2.3 Remote Healthcare 21
 
2.4 Technological Framework 21
 
2.5 Standard UIs, Shows, and User Requirements 23
 
2.5.1 Advantages 23
 
2.5.2 Application 23
 
2.6 Cloud-Based Health Monitoring Using IoT 24
 
2.7 Information Acquisition 24
 
2.8 The Processing of Cloud 25
 
2.9 IoT-Based Health Monitoring Using Raspberry Pi 25
 
2.10 IoT-Based Health Monitoring Using RFID 26
 
2.10.1 Sensor Layer 27
 
2.10.2 Network Layer 28
 
2.10.3 Service Layer 28
 
2.11 Arduino and IoT-Based Health Monitoring System 28
 
2.12 IoT-Based Health Monitoring System Using ECG Signal 29
 
2.12.1 System Model 30
 
2.12.2 Framework 30
 
2.13 IoT-Based Health Monitoring System Using Android App 31
 
2.13.1 Transferring the Information to the Cloud 33
 
2.13.2 Application Controls 33
 
2.14 Conclusion and Future Perspectives 33
 
References 34
 
3 Design of Gesture-Based Hand Gloves Using Arduino UNO: A Grace to Abled Mankind 37
Harpreet Singh Bedi, Dekkapati Vinit Raju, Nandyala Meghanath Reddy C. Partha Sai Kumar and Mandla Ravi Varma
 
3.1 Introduction 38
 
3.1.1 Block Diagram 38
 
3.1.2 The Proposed New Design 39
 
3.1.3 Circuit Diagram 40
 
3.2 Result and Discussion 40
 
3.2.1 Data Analysis 41
 
3.3 Conclusion 41
 
3.4 Future Scope 42
 
References 42
 
4 Playing With Genes: A Pragmatic Approach in Genetic Engineering 45
Prerna Singh and Dolly Sharma
 
4.1 Introduction 46
 
4.2 Literature Review 47
 
4.3 Methodology 48
 
4.3.1 Plasmid Method 48
 
4.3.2 The Vector Method 49
 
4.3.3 The Biolistic Method 49
 
4.4 Food and Agriculture 50
 
4.5 Impact on Farmers 53
 
4.6 Diseases: Gene Editing and Curing 54
 
4.7 Conclusion 56
 
4.8 Future Scope 56
 
References 57
 
5 Digital Investigative Model in IoT: Forensic View 59
Suryapratap Ray and Tejasvi Bhatia
 
5.1 Introduction 59
 
5.1.1 Artificial Neural Network 60
 
5.2 Application of AI for Different Purposes in Forensic Science 61
 
5.2.1 Artificial Intelligence for Drug Toxicity and Safety 61
 
5.2.2 Crime Scene Reconstruction 62
 
5.2.3 Sequence or Pattern Recognition 62
 
5.2.4 Repositories Building 63
 
5.2.5 Establishment of Connection Among the Investigating Team 63
 
5.2.6 Artificial Intelligence and Expert System in Mass Spectrometry 63
 
5.2.7 AI in GPS Navigation 65
 
5.3 Future of AI 66
 
5.4 Challenges While Implementing AI 67
 
5.4.1 Unexplainability of AI 67
 
5.4.2 AI Anti-Forensics 67
 
5.4.3 Connection Interruption Between the Cyber Forensics and

About the author

Anita Gehlot, PhD is an associate professor at Lovely Professional University with more than 12 years of experience in academics. She has published more than 70 research papers in refereed journals/conferences and 28 books in the area of Embedded Systems and Internet of Things.
Rajesh Singh, PhD is a professor at Lovely Professional University with more than 16 years of experience in academics. He has published more than 100 research papers in refereed journals/conferences. Jaskaran Singh, PhD in Forensic Sciences from Amity University Noida, serves as the Head of Department of Forensic Sciences at Lovely Professional University, Punjab, India. He has more than 14 research publications, 13 patents, 3 copyrights, and one edited book to his credit. Neeta Raj Sharma, PhD in Biochemistry from Jiwaji University, Gwalior. She is visiting professor at Birmingham City University, UK, and working in association with University of British Columbia, McGill University, Laval University, and University of Victoria in Canada. She has published more than 55 publications, 20 patents, 4 copyrights, and 2 edited books.

Summary

DIGITAL FORENSICS AND INTERNET OF THINGS

It pays to be ahead of the criminal, and this book helps organizations and people to create a path to achieve this goal.

The book discusses applications and challenges professionals encounter in the burgeoning field of IoT forensics. IoT forensics attempts to align its workflow to that of any forensics practice--investigators identify, interpret, preserve, analyze and present any relevant data. As with any investigation, a timeline is constructed, and, with the aid of smart devices providing data, investigators might be able to capture much more specific data points than in a traditional crime. However, collecting this data can often be a challenge, as it frequently doesn't live on the device itself, but rather in the provider's cloud platform. If you can get the data off the device, you'll have to employ one of a variety of methods given the diverse nature of IoT devices hardware, software, and firmware. So, while robust and insightful data is available, acquiring it is no small undertaking.

Digital Forensics and Internet of Things encompasses:
* State-of-the-art research and standards concerning IoT forensics and traditional digital forensics
* Compares and contrasts IoT forensic techniques with those of traditional digital forensics standards
* Identifies the driving factors of the slow maturation of IoT forensic standards and possible solutions
* Applies recommended standards gathered from IoT forensic literature in hands-on experiments to test their effectiveness across multiple IoT devices
* Provides educated recommendations on developing and establishing IoT forensic standards, research, and areas that merit further study.

Audience

Researchers and scientists in forensic sciences, computer sciences, electronics engineering, embedded systems, information technology.

Product details

• Authors: Gehlot, a Gehlot, Anit Gehlot, Anita Gehlot, Anita (Uttaranchal University Gehlot, Anita Singh Gehlot, Neeta Raj Sharma, Jaskaran Singh, Jaskaran et al Singh, Rajes Singh, Rajesh Singh
• Assisted by: Anita Gehlot (Editor), Neeta Raj Sharma (Editor), Jaskaran Singh (Editor), Rajesh Singh (Editor), Jaskaran Singh et al (Editor), Singh Rajesh (Editor)
• Publisher: Wiley, John and Sons Ltd
• Languages: English
• Product format: Hardback
• Released: 31.07.2021
• EAN: 9781119768784
• ISBN: 978-1-119-76878-4
• No. of pages: 288
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; Informatik, Künstliche Intelligenz, Artificial Intelligence, Internet of things, iot, internet der dinge, computer science, Digitale Forensik, Electrical & Electronics Engineering, Elektrotechnik u. Elektronik, MEMS