Digital Forensics and Internet of Things

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.

Auteur

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.

Résumé
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 practiceinvestigators 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.