Artificial Intelligence for Cyber Defense and Smart Policing

1. Auflage 2024
ISBN: 978-1-032-17093-0
Verlag: Chapman and Hall/CRC

Buch, Englisch, 186 Seiten, Format (B × H): 183 mm x 260 mm, Gewicht: 560 g

The future policing ought to cover identification of new assaults, disclosure of new ill-disposed patterns, and forecast of any future vindictive patterns from accessible authentic information. Such keen information will bring about building clever advanced proof handling frameworks that will help cops investigate violations. Artificial Intelligence for Cyber Defense and Smart Policing will describe the best way of practicing artificial intelligence for cyber defense and smart policing.

Salient Features:

- Combines AI for both cyber defense and smart policing in one place

- Covers novel strategies in future to help cybercrime examinations and police

- Discusses different AI models to fabricate more exact techniques

- Elaborates on problematization and international issues

- Includes case studies and real-life examples

This book is primarily aimed at graduates, researchers, and IT professionals. Business executives will also find this book helpful.

Zielgruppe

Postgraduate, Professional, and Undergraduate Advanced

Autoren/Hrsg.

Vijayalakshmi, S.

Durgadevi, P.

Jacob, Lija

Balusamy, Balamurugan

Nand, Parma

Fachgebiete

• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Datensicherheit, Datenschutz
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Spiele-Programmierung, Rendering, Animation
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Cloud-Computing, Grid-Computing

Inhaltsverzeichnis

Chapter 1: Machine Learning in Cyber Threats Intelligent System. Chapter 2: Cybercrimes in the Associated World. Chapter 3: Recent Developments of Threat Intelligence and Challenges. Chapter 4: AI in Forensics: Data Analytics Perspective. Chapter 5: Big data for intelligence and security. Chapter 6: Deep Learning Decision Support Model for Police Investigation. Chapter 7: Big Data Paradigm in Cyber Crime Investigation. Chapter 8: Low-cost high impact AI tools against cyber crime. Chapter 9: Computer based (AI) Intelligence in the Field of Defense. Chapter 10: Assembly of Cyber and Illegal Intimidation. Chapter 11: Computer based Intelligence and Security. Chapter 12: Case study: Artificial Intelligence and Machine Learning in Cyber security.

Über Autor(innen)

S. Vijayalakshmi is currently working as an Associate Professor in the Data Science Department in Christ (Deemed to be University), Lavasa Campus, Pune, India. She has many academic portfolios associated with the current position. Her research area is on image processing and Internet of Things (IoT).

P. Durgadevi has been working as an Assistant Professor in the Department of Computer Science and Engineering at the GITAM University (Deemed to be University), Bengaluru, India. She is currently doing research in medical image processing and IoT.

Lija Jacob is an Assistant Professor at the Department of Data Science, Christ (Deemed to be University), Lavasa, Pune, India. She has more than 17 years of teaching experience and 8 years of research experience. Her research interests are computer vision, machine Learning, and deep learning.

Balamurugan Balusamy is currently working as a Professor in the School of Computing Sciences and Engineering at Galgotias University, Greater Noida, India. He has published 30-plus books on various technologies and visited 15-plus countries for his technical course. He has several top-notch conferences in his resume and has published over 150 of quality journal articles, conference papers, and book chapters combined.

Parma Nand has a PhD in Computer Science and Engineering from IIT Roorkee, M. Tech and B. Tech in Computer Science and Engineering from IIT Delhi. Prof. Parma Nand has more than 27 years of experience both in industry and in academia. He has received various awards like Best Teacher Award from the Union Minister, Best Students Project Guide Award from Microsoft in 2015 and Best Faculty Award from Cognizant in 2016. He has successfully completed government funded projects and has spearheaded the last five Institute of Electrical and Electronics Engineers (IEEE) International conferences on Computing, Communication and Automation (ICCCA), IEEE students chapters, Technovation Hackathon 2019, Technovation Hackathon 2020, International Conference on Computing, Communication, and Intelligent Systems (ICCCIS-2021). He is a member of Executive Council of IEEE, UP section (R-10), a member of Executive Committee IEEE Computer and Signal Processing Society, a member of Executive India Council Computer Society, and a member of Executive Council Computer Society of India, Noida section, and has acted as an observer in many IEEE conferences. He also has active memberships in ACM, IEEE, CSI, ACEEE, ISOC, IAENG, and IASCIT. He is a lifetime member of Soft Computing Research Society (SCRS) and ISTE.