Hardcover. Deep learning innovations play a crucial role in securing critical infrastructures, offering advanced solutions to protect vital systems from sophisticated cyber threats. By leveraging neural networks and advanced algorithms, deep learning enables real-time anomaly detection, pattern recognition, and predictive threat analysis, which are essential for safeguarding critical sectors such as energy, transportation, healthcare, and finance. These technologies can identify vulnerabilities, respond to breaches, and adapt to new attacks, providing a strong defense against cyber risks. As the digital landscape becomes more interconnected, the integration of deep learning into cybersecurity strategies will enhance resilience while ensuring the safe operation of essential services. Deep Learning Innovations for Securing Critical Infrastructures explores the cutting-edge integration of neural networks and artificial intelligence (AI) in modern cybersecurity systems. It examines how AI, particularly neural network models, is revolutionizing cybersecurity by automating threat detection, analyzing complex data patterns, and implementing proactive defense mechanisms. This book covers topics such as blockchain, cloud computing, and event management, and is a useful resource for business owners, computer engineers, data scientists, academicians, and researchers. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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T�tulo: Deep Learning Innovations for Securing Critical Infrastructures (Hardcover)
Editor: IGI Global, Hershey
Fecha de publicaci�n: 2025
Idioma: Ingl�s
ISBN 13: 9798337305639
Encuadernaci�n: Hardcover
Estado: new

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Sinopsis

Deep learning innovations play a crucial role in securing critical infrastructures, offering advanced solutions to protect vital systems from sophisticated cyber threats. By leveraging neural networks and advanced algorithms, deep learning enables real-time anomaly detection, pattern recognition, and predictive threat analysis, which are essential for safeguarding critical sectors such as energy, transportation, healthcare, and finance. These technologies can identify vulnerabilities, respond to breaches, and adapt to new attacks, providing a strong defense against cyber risks. As the digital landscape becomes more interconnected, the integration of deep learning into cybersecurity strategies will enhance resilience while ensuring the safe operation of essential services. Deep Learning Innovations for Securing Critical Infrastructures explores the cutting-edge integration of neural networks and artificial intelligence (AI) in modern cybersecurity systems. It examines how AI, particularly neural network models, is revolutionizing cybersecurity by automating threat detection, analyzing complex data patterns, and implementing proactive defense mechanisms. This book covers topics such as blockchain, cloud computing, and event management, and is a useful resource for business owners, computer engineers, data scientists, academicians, and researchers.

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Rajeev Kumar is a distinguished academic administrator with over 15 years of experience in fostering excellence in professional education. He is currently serving as a PostDoc Fellow Infrastructure University, Kuala Lumpur, Malaysia and Professor in the Computer Science and Engineering Department at Moradabad Institute of Technology, Moradabad, Uttar Pradesh, India. Prof. Kumar holds a Ph.D. in Computer Science, a D.Sc. (Post-Doctoral Degree) in Computer Science, and a Postdoctoral Fellowship from Malaysia. His academic credentials are further bolstered by certifications in Data Science and Machine Learning using Python and R Programming from IIM Raipur, as well as additional certifications from IBM and Google. A senior member of IEEE, he actively participates in the IEEE Young Professional Committee and holds memberships in the Computer Society of India (CSI) and SMIEEE. His academic areas of interest and specialization include Artificial Intelligence, Cloud Computing, e-Governance, and Networking. Prof. Kumar has made significant contributions to curriculum development and enrichment, often delivering expert talks and participating in various leadership training programs.

Sheng-Lung Peng is a Professor at the Department of Creative Technologies and Product Design, and the Dean of the College of Innovative Design and Management, National Taipei University of Business in Taiwan. He received the PhD degree from Computer Science Department of National Tsing Hua University in Taiwan. He is an honorary Professor at Beijing Information Science and Technology University and a visiting Professor at Ningxia Institute of Science and Technology in China. He is also an adjunct Professor at National Dong Hwa University in Taiwan and, Mandsaur University and Kazi Nazrul University in India. Dr. Peng has edited several special issues at journals, such as Frontiers in Public Health, Journal of Internet Technology, IEEE Internet of Things Magazine, Computers and Electrical Engineering, Sensors, and so on. His research interests are algorithm design in the fields of artificial intelligence, bioinformatics, combinatorics, data mining, and networking.

Parag Jain is presently engaged as the Director of RIT NAAC A++ Institution. Senior research fellowPost Doc AIT Thailand Ph. D. and M. Tech in the Computer Science. Research studies focus on the congestion control in wired and wireless ATM Networks, Fragmentation Method for Classification Workloads based on Genetic Algorithms, Analysis of Fixation Parameters during visual search using AI, Electric Vehicle Charging Real Time Optimization at charging station using AI, AI powered platform to identify primary prostate cancer patients with high risk of recurrence, BSE SENSEX Analysis and Predictor using IoT and AI, Human and non-human face detection using deep learning and AI based algorithm, E-LBP Based face color and edge detection, Tiger face detection using machine learning and AI based algorithm, Ensemble empirical mode decomposition and Kurtosis with Expert System for bearing faults diagnosis.

Ahmed A. Elngar is an Associate Professor and Head of the Computer Science Department at the Faculty of Computers and Artificial Intelligence, Beni-Suef University, Egypt. Dr. Elngar is also, an Associate Professor of Computer Science at the College of Computer Information Technology, American University in the Emirates, United Arab Emirates. Also, Dr. AE is Adjunct Professor at School of Technology, Woxsen University, India. Dr. AE is the Founder and Head of the Scientific Innovation Research Group (SIRG). Dr. AE is a Director of the Technological and Informatics Studies Center (TISC), Faculty of Computers and Artificial Intelligence, Beni-Suef University. Dr. AE has more than 150 scientific research papers published in prestigious international journals and over 35 books covering such diverse topics as data mining, intelligent systems, social networks, and smart environment. Dr. AE is a collaborative researcher He is a member of the Egyptian Mathematical Society (EMS) and International Rough Set Society (IRSS). His other research areas include the Internet of Things (IoT), Network Security, Intrusion Detection, Machine Learning, Data Mining, and Artificial Intelligence. Big Data, Authentication, Cryptology, Healthcare Systems, Automation Systems. He is an Editor and Reviewer of many international journals around the world. Dr. AE won several awards including the Young Researcher in Computer Science Engineering”, from Global Outreach Education Summit and Awards 2019, on 31 January 2019 (Thursday) in Delhi, India. Also, he awards the Best Young Researcher Award (Male) (Below 40 years)”, Global Education and Corporate Leadership Awards (GECL-2018), Plot No-8, Shivaji Park, Alwar 301001, Rajasthan.

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