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Next-Generation Cybersecurity de Keshav Kaushik

Next-Generation Cybersecurity: Blockchain Technologies

Editat de Keshav Kaushik, Ishu Sharma
en Limba Engleză Hardback – 19 mai 2024

Subliniem relevanța critică a volumului Next-Generation Cybersecurity pentru profesioniștii care vizează certificări avansate în securitatea sistemelor și pentru cercetătorii care urmăresc alinierea la standardele tehnologice ale anului 2024. Această ediție nouă, publicată sub egida Springer, propune o examinare tehnică riguroasă a modului în care inteligența artificială (AI) și învățarea automată (ML) pot fi sinergizate cu tehnologia blockchain pentru a remedia vulnerabilitățile infrastructurilor critice.

Notăm cu interes structura progresivă a lucrării, care debutează cu bazele teoretice ale acestor tehnologii și evoluează spre studii de caz aplicate. Reținem capitolele dedicate impactului rețelelor neuronale în detectarea programelor malware și utilizarea contractelor inteligente (smart contracts) pentru securizarea datelor. Relevanța practică este evidențiată prin secțiunile ce vizează managementul datelor medicale sensibile și revoluționarea sectorului bancar prin descentralizare. Volumul reprezintă o alternativă tehnică solidă la Artificial Intelligence and Blockchain for Future Cybersecurity Applications pentru cursurile de securitate informatică aplicată, având avantajul unei abordări mai recente asupra arhitecturilor de deep learning și a implementărilor în timp real.

În contextul operei editorilor, acest titlu completează direcțiile explorate în Sustainable Security Practices Using Blockchain, Quantum and Post-Quantum Technologies for Real Time Applications, mutând accentul de la securitatea post-cuantică spre integrarea hibridă a algoritmilor de învățare automată în ecosisteme blockchain. Stilul este academic, dens în detalii tehnice, fiind un instrument de lucru indispensabil pentru proiectarea unor sisteme de apărare proactive.

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Specificații

ISBN-13: 9789819712489
ISBN-10: 9819712483
Pagini: 484
Ilustrații: XII, 470 p. 96 illus., 65 illus. in color.
Dimensiuni: 160 x 241 x 25 mm
Greutate: 0.97 kg
Ediția:2024
Editura: Springer
Colecția Blockchain Technologies
Seria Blockchain Technologies

Locul publicării:Singapore, Singapore

De ce să citești această carte

Această lucrare se adresează inginerilor de sistem și arhitecților de securitate care doresc să depășească metodele tradiționale de apărare cibernetică. Cititorul câștigă o înțelegere profundă a modului în care AI și blockchain pot colabora pentru a crea sisteme imuabile și capabile de auto-învățare. Este un motiv concret de achiziție pentru cei care activează în sectoarele Fintech sau Healthcare, unde protecția datelor este vitală.

Despre autor

Keshav Kaushik și Ishu Sharma sunt specialiști recunoscuți în domeniul securității digitale, cu un portofoliu axat pe tehnologii emergente. Kaushik a coordonat anterior lucrări fundamentale precum Advanced Smart Computing Technologies in Cybersecurity and Forensics, demonstrând un interes constant pentru intersecția dintre Internet of Things și inteligența artificială. Expertiza lor combinată, reflectată în numeroase studii publicate în serii de prestigiu precum Blockchain Technologies, se concentrează pe aplicabilitatea practică a conceptelor matematice complexe în soluționarea amenințărilor cibernetice moderne.

Cuprins

Introduction to Cybersecurity with AI, ML, and Blockchain.- Opportunities and Challenges in New Generation Cyber Security Applications using Artificial Intelligence, Machine Learning and Block Chain.- AI and Blockchain for Secure Data Analytics.- Synergizing Artificial Intelligence and Blockchain.- Blockchain-Based Smart Contracts: Technical and Usage Aspects.- An Impact of Cyber Security and Blockchain in Healthcare Industry: an implementation through AI.- Deep Learning and Blockchain Applications in Healthcare Sector using Imaging Data.- Healthcare Data Security using AI and Blockchain: Safeguarding Sensitive Information for a Safer Society.- The Future of Electronic Healthcare Management: Blockchain and Artificial Intelligence Integration.- Impact of Neural Network on Malware Detection.- Evaluating different malware detection neural network architectures.- Protecting Your Assets: Effective Use of Cybersecurity Measures in Banking Industries.- Revolutionizing Banking with Blockchain:Opportunities and Challenges Ahead.- Leveraging AI and Blockchain for Enhanced IoT Cybersecurity.- Dissecting the Role of Women in Cybersecurity and Information Technology: A Medical Perspective.- A Comprehensive Exploration of Advancements and Applications of Digital Watermarking.- Optimizing Drug Discovery: Molecular Docking with Glow-worm Swarm Optimization.- Bridging the Gap Between Learning and Security: An Investigation of Blended Learning Systems and Ransomware Detection.- Ethical Considerations in AI-based Cybersecurity.

Notă biografică

Keshav Kaushik is an experienced educator with around ten years of teaching and research experience in cybersecurity, digital forensics, and the Internet of Things. He is working as an assistant professor (senior scale) in the systemic cluster under the School of Computer Science at the University of Petroleum and Energy Studies, Dehradun, India. He has published more than 100 research papers in international journals and has presented at reputed international conferences. He is a Certified Ethical Hacker (CEH) v11, CQI and IRCA Certified ISO/IEC 27001:2013 Lead Auditor, Quick Heal Academy Certified Cyber Security Professional (QCSP), and IBM Cybersecurity Analyst. He acted as a keynote speaker and delivered 50+ professional talks on various national and international platforms. He has edited over twenty books with reputed international publishers like Springer, Taylor & Francis, IGI Global, Bentham Science, etc. He has chaired various special sessions at international conferences and also served as a reviewer in peer-reviewed journals and conferences. Currently, he is also serving as Vice Chairperson of the Meerut ACM Professional Chapter and is also a brand ambassador for Bentham Science. Moreover, he is also serving as a guest editor in the IEEE Journal of Biomedical and Health Informatics (J-BHI) (IF:7.7).


Dr. Ishu Sharma is currently working as Assistant Professor with Chitkara University Research and Innovation Network (CURIN), Chitkara University, Punjab. She has more than 14 years of experience in Academics and Management. Her research area includes Cybersecurity, Blockchain, Wireless Ad hoc Network, Wireless Sensor Network and Artificial Intelligence. She completed PhD in Computer Science and Engineering from Chitkara University, Punjab. She received a silver medal in Master of Engineering. She cleared examination for Associate Member of Institution of Engineer’s in the minimum duration. She was state level topper in Diploma from State Board of Technical Education, Haryana. She is associated with multiple EdTech Platforms and invited as Guest Faculty in IIT Kanpur for e- Masters Course in Blockchain. She has published 40+ patents and 80+ Scopus-indexed research papers in various international journals and conferences. She has been invited as an Expert for Cybersecurity tool for various FDP and Guest Lectures in academic institutions and industries. She is guiding multiple PhD and MTech research scholars in the area of Cybersecurity and Blockchain.

Textul de pe ultima copertă

This book highlights a comprehensive overview of the recent advancements and challenges in the field of cybersecurity with a focus on the integration of artificial intelligence (AI), machine learning (ML), and blockchain technologies. The book targets both researchers and practitioners working in the field of cybersecurity and aims to fill the gap in the current literature by providing a comprehensive and up-to-date examination of the integration of AI, ML, and blockchain in cybersecurity systems. The book has a technical focus and provides an in-depth
examination of the latest developments in the field. It covers a range of topics including the basics of AI, ML, and blockchain, the application of AI and ML in cybersecurity, the use of blockchain in cybersecurity, and the integration
of AI, ML, and blockchain in cybersecurity systems. Each chapter is written by leading experts in the field and provides a thorough and technical overview of the topic, including case studies, examples, and practical applications.

Caracteristici

Highlights the latest advancements in AI, ML, and blockchain technology and their applications in cybersecurity Includes examples and case studies illustrating the use of AI, ML, and blockchain in real-world situations Provides practical advice and guidelines for businesses and organizations looking to adopt these technologies