Advancements in Cyber Crime Investigations and Modern Data Analytics
暫譯: 網路犯罪調查與現代數據分析的進展
Shandilya, Shishir Kumar, Sujay, Devangana, Gupta, V. B.
- 出版商: CRC
- 出版日期: 2024-12-27
- 售價: $4,870
- 貴賓價: 9.5 折 $4,627
- 語言: 英文
- 頁數: 174
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032742704
- ISBN-13: 9781032742700
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相關分類:
Data Science
海外代購書籍(需單獨結帳)
相關主題
商品描述
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.
商品描述(中文翻譯)
這本書提供了一個全新的視角來對抗網路犯罪,展示了來自各個領域專家的創新解決方案。透過人工智慧(AI)的整合,當前的挑戰以最先進的策略得到解決。書中討論了網路犯罪和調查領域內一系列及時的議題,強調以AI驅動的解決方案和未來的多學科視角。隨著數據成為所有數位互動的核心,它也變得越來越脆弱,成為對手的主要目標。本書全面彙編了在「網路犯罪」這一範疇下,對抗、調查和管理這些複雜不當行為的技術方法。
主要主題:
- LLMs作為SARs篩選的解決方案
- 對抗CSAM的技術能力
- 行動取證調查之旅
- 數位取證解決金融犯罪
- 深偽技術驅動的金融犯罪與對策
本書對當前網路犯罪的現狀、可用的對抗能力以及保持領先所需的先進措施進行了徹底的檢視。數位取證的詳細路線圖,即解密網路犯罪的科學,是一個重要亮點,並探討了AI日益增強的能力。我們對所有貢獻者表示感謝,並希望這本書能解答許多問題,同時激發好奇心,提供一個刺激的智識體驗。
作者簡介
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 Sujay
Devangana 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 Gupta
Dr. 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.
作者簡介(中文翻譯)
**Dr. Shishir Kumar Shandilya**
Dr. Shishir Kumar Shandilya 是印度德維阿希利亞大學數據科學與預測學院的副教授。他同時也是英國利物浦霍普大學的訪問教授。他是劍橋大學認證的專業教師和培訓師,TEDx 演講者,ACM 傑出演講者,以及 IEEE 的高級會員。Shandilya 是 NASSCOM 認證的安全分析師 SOC (SSC/Q0909: 7 NVEQF Level 7) 的大師級培訓師。他因在教學中獨特使用技術而獲得印度教學協會在班加羅爾頒發的 IDA 教學卓越獎(2016),並在 2005 和 2006 年連續兩年獲得 MP 科學大會和 MP 科學與技術委員會頒發的青年科學家獎。他是一位備受推崇的作者,已在知名學術出版社如 Springer、IGI-USA、River Denmark 和印度 Prentice Hall 發表研究作品。Dr. Shandilya 也擁有針對自適應網絡防禦方法的國際和國內專利及著作權。他的研究興趣包括自適應防禦、高級數位調查與取證方法、可解釋的人工智慧、隱私保護計算、自然啟發的密碼學 (NIC) 和自然啟發的網絡安全 (NICS)。
**Devangana Sujay**
Devangana Sujay 是數位取證領域的獨立研究員。她的研究主題涵蓋數位證據的可接受性、兒童性虐待材料及隱私保護等。她的核心能力與數位取證、網絡安全和網絡法律相關。她在 SECURE - 網絡安全卓越中心擔任協調員,並在數位取證領域進行研究。她還曾在印度數據安全委員會擔任技術政策實習生。她的其他身份包括 WiCyS(女性網絡安全)和 BBWIC(打破障礙的女性網絡安全) 的活躍成員。
**Dr. VB Gupta**
Dr. V.B. Gupta 是印度印多爾德維阿希利亞大學 (DAVV) 數據科學與預測學院的教授及主任。他擁有德里印度理工學院的博士學位,並擁有超過 30 年的教學和研究經驗。他的專業領域包括數據科學、數學建模、模擬、環境管理、技術擴散和系統工程。Dr. Gupta 在國內外期刊和會議上發表了超過 70 篇研究論文。他是印度系統動力學學會的成員,並對多篇提交至國內外期刊的研究論文進行過審稿。他曾擔任新德里大學資助委員會的多個學術委員會成員,並開發了多個研究生課程。Dr. Gupta 熱衷於利用數學建模和模擬來解決現實世界的問題。他堅信教育的力量能夠改變生活和社會。