Advancements in Cyber Crime Investigations and Modern Data Analytics | Agenda Bookshop Skip to content
Please note that books with a 10-20 working days delivery time will not arrive before Christmas.
Please note that books with a 10-20 working days delivery time will not arrive before Christmas.
Age Group_Uncategorized
Age Group_Uncategorized
automatic-update
B01=Devangana Sujay
B01=Shishir Kumar Shandilya
B01=VB Gupta
Category1=Non-Fiction
Category=GPJ
Category=JKVC
Category=JKVF1
Category=KNSS
Category=LAR
Category=UBL
Category=URD
Category=URH
Category=UT
Category=UYF
COP=United Kingdom
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€100 and above
PS=Forthcoming
softlaunch

Advancements in Cyber Crime Investigations and Modern Data Analytics

English

This book presents a fresh perspective on combating cybercrime, showcasing innovative solutions from experts across various fields. With the integration of artificial intelligence (AI), contemporary challenges are addressed with state-of-the-art strategies. The book discusses a wide range of timely issues within the domain of cybercrime and investigation, emphasizing AI-driven solutions and future multidisciplinary perspectives. As data becomes central to all digital interactions, it also becomes increasingly vulnerable, making it a prime target for adversaries. This comprehensive volume compiles technical approaches to counter, investigate, and manage these complex avenues of misconduct under the umbrella of Cyber Crime.

Key Topics:

LLMs as a Solution for SARs Triaging

Technical Capacities to Counter CSAM

A Journey of Mobile Forensic Investigation

Digital Forensics Solving Financial Crimes

Deepfake-Driven Financial Crimes & Countermeasures

This book offers a thorough examination of the current landscape of cybercrime, the capabilities available to combat it, and the advanced measures required to stay ahead. A detailed roadmap of digital forensics, the science of decrypting cybercrime, is a key highlight, alongside an exploration of the rising capabilities of AI. We extend our gratitude to all the contributors and hope this book answers many questions while igniting curiosity and providing a stimulating intellectual experience.

See more
Current price €111.59
Original price €123.99
Save 10%
Age Group_Uncategorizedautomatic-updateB01=Devangana SujayB01=Shishir Kumar ShandilyaB01=VB GuptaCategory1=Non-FictionCategory=GPJCategory=JKVCCategory=JKVF1Category=KNSSCategory=LARCategory=UBLCategory=URDCategory=URHCategory=UTCategory=UYFCOP=United KingdomDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 27 Dec 2024

Product Details
  • Dimensions: 156 x 234mm
  • Publication Date: 27 Dec 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9781032742700

About

Dr Shishir Kumar Shandilya Dr. Shishir Kumar Shandilya is an Associate Professor in the School of Data Science and Forecasting at Devi Ahilya University in India. He is also a Visiting Professor at Liverpool Hope University in the United Kingdom. He is a Cambridge University-certified professional teacher and trainer a TEDx speaker an ACM Distinguished Speaker and a senior member of IEEE. Shandilya is a NASSCOM-certified master trainer for security analysts in SOC (SSC/Q0909: 7 NVEQF Level 7). He has received the IDA Teaching Excellence Award for distinctive use of technology in teaching by the Indian Didactics Association in Bangalore (2016) and the Young Scientist Award for two consecutive years 2005 and 2006 by the MP Science Congress and MP Council of Science and Technology. He is a highly regarded author with published research works in reputable academic publishers such as Springer IGI-USA River Denmark and Prentice Hall of India. Dr. Shandilya also has international and national patents and copyrights granted for adaptive cyber defense methods. His research interest includes adaptive defense advanced digital investigation and forensic methods explainable artificial intelligence privacy-preserving computing nature-inspired cryptography (NIC) and Nature-inspired cyber security (NICS).Devangana SujayDevangana Sujay is an independent researcher in the field of digital forensics. Her research topics range from admissibility of digital evidence to child sexual abuse material and privacy preservation. Her core competencies relate to digital forensics cyber security and cyber law. She works at SECURE Centre of Excellence in Cybersecurity as a coordinator and has done studies in the area of digital forensics. She has also had the experience of working with the Data Security Council of India as Technology Policy Intern. Her other affiliations include being an active member of WiCyS-Women in Cybersecurity and BBWIC-Breaking Barriers Women in Cybersecurity.Dr VB GuptaDr. V.B. Gupta is a Professor and Head of the School of Data Science and Forecasting at Devi Ahilya Vishwavidyalaya (DAVV) in Indore India. He has Ph.D. from the Indian Institute of Technology Delhi and has over 30 years of experience in teaching and research. His areas of specialization include data science mathematical modeling simulation environmental management technology diffusion and systems engineering. Dr. Gupta has published over 70 research papers in national and international journals and conferences. He is a member of the System Dynamics Society of India and has reviewed several research papers submitted in national and international journals. He has served as member of several academic committees of University Grants Commission New Delhi. He developed several P.G. programmes. Dr. Gupta is a passionate advocate for the use of mathematical modeling and simulation to solve real-world problems. He is a strong believer in the power of education to transform lives and societies.

Customer Reviews

Be the first to write a review
0%
(0)
0%
(0)
0%
(0)
0%
(0)
0%
(0)
We use cookies to ensure that we give you the best experience on our website. If you continue we'll assume that you are understand this. Learn more
Accept