{"product_id":"9781041166757","title":"Cyber Resilience Federated Learning and Adaptive AI Through BCI and Neurotechnological Synergy","description":"\u003ch1\u003eCyber Resilience\u003c\/h1\u003e\u003ch2\u003eFederated Learning and Adaptive AI Through BCI and Neurotechnological Synergy\u003c\/h2\u003e\u003ch3\u003eSwati Sah | Aditya Dayal Tyagi | Rejwan Bin Sulaiman | Pranjali Gajbhiye\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eComputers \/ Security \/ General\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003e\u003cb\u003e\u003ci\u003eCyber Resilience: Federated Learning and Adaptive AI Through BCI and Neurotechnological Synergy\u003c\/i\u003e\u003c\/b\u003e explores the transformative role of artificial intelligence, federated learning, brain–computer interfaces (BCIs), and neurotechnology in strengthening modern cybersecurity. As cyber threats become increasingly sophisticated, traditional security approaches are no longer sufficient to protect critical systems, sensitive data, and digital infrastructure. This book presents innovative, privacy-preserving strategies that combine decentralized AI, adaptive learning, and neurotechnological advances to build secure and resilient digital ecosystems.\u003c\/p\u003e\n\u003cp\u003eThe book examines how Federated Learning enables collaborative AI model development without sharing sensitive data, while Adaptive AI continuously learns from evolving environments to detect, predict, and respond to emerging cyber threats. It also highlights the growing role of BCIs and neurotechnology in enhancing authentication, decision-making, cognitive cybersecurity, and human–AI collaboration.\u003c\/p\u003e\n\u003cp\u003eCovering both theoretical foundations and practical applications, the book discusses topics such as explainable AI, adversarial learning, secure edge and cloud computing, blockchain-enabled trust, zero-trust security, and ethical AI. Through real-world case studies from healthcare, finance, smart cities, defense, and Industry 5.0, it demonstrates how these technologies can enhance cyber resilience. Designed for researchers, practitioners, students, and policymakers, this book provides valuable insights into developing intelligent, trustworthy, and future-ready cybersecurity solutions.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003cp\u003e\u003cb\u003eSwati Sah\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eDr. Swati Sah is a Professor at Sharda University, India, with more than 12 years of experience in higher education, research, academic leadership, and international collaborations. She has built a distinguished academic career through her contributions to teaching, research, curriculum development, and institutional administration.\u003c\/p\u003e\n\u003cp\u003ePrior to joining Sharda University, Dr. Sah served as a faculty member at Amity University, Uzbekistan. In May 2018, she was appointed as the Head of the Department of Computer Science at Patan College for Professional Studies (PCPS), Nepal, an institution affiliated with the University of Bedfordshire, United Kingdom. During her tenure, she played a pivotal role in strengthening academic programs, promoting research activities, and fostering industry–academia collaboration.\u003c\/p\u003e\n\u003cp\u003eDr. Sah holds a Master of Computer Applications (MCA) from Dr. A.P.J. Abdul Kalam Technical University (formerly Uttar Pradesh Technical University), Lucknow, India, and an M.Sc. from Birmingham City University, United Kingdom. Throughout her academic journey, she has remained actively involved in professional societies, research collaborations, curriculum design, mentoring undergraduate and postgraduate students, and supervising research projects.\u003c\/p\u003e\n\u003cp\u003eHer research interests encompass Artificial Intelligence (AI), Machine Learning (ML), Cybersecurity, Data Analytics, Intelligent Systems, and AI-driven Decision Support Systems. She has authored and edited scholarly books, published research articles in reputed journals and conference proceedings, and presented her work at numerous national and international conferences. She also serves as a reviewer, editor, and external examiner for academic journals, conferences, and doctoral research.\u003c\/p\u003e\n\u003cp\u003eDr. Sah's current research focuses on developing intelligent cybersecurity frameworks that leverage Artificial Intelligence and Machine Learning for cyber threat detection, risk assessment, anomaly detection, and automated incident response. She is equally passionate about interdisciplinary research that applies emerging technologies to healthcare, education, agriculture, and smart digital ecosystems.\u003c\/p\u003e\n\u003cp\u003eA strong advocate of innovation and lifelong learning, Dr. Sah actively mentors students and researchers, encourages collaborative research, and promotes the responsible and ethical adoption of Artificial Intelligence. Her vision is to bridge the gap between cutting-edge research and practical applications by developing intelligent, secure, and sustainable technology solutions that create meaningful societal impact.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eResearch Interests\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e \u003cli\u003eArtificial Intelligence\u003c\/li\u003e \u003cli\u003eMachine Learning\u003c\/li\u003e \u003cli\u003eCybersecurity\u003c\/li\u003e \u003cli\u003eData Analytics\u003c\/li\u003e \u003cli\u003eIntelligent Decision Support Systems\u003c\/li\u003e \u003cli\u003eExplainable AI (XAI)\u003c\/li\u003e \u003cli\u003eDeep Learning\u003c\/li\u003e \u003cli\u003eIntelligent Healthcare Systems\u003c\/li\u003e \u003cli\u003eSmart Digital Ecosystems\u003c\/li\u003e \u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eProfessional Interests\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e \u003cli\u003eResearch and Innovation\u003c\/li\u003e \u003cli\u003eInternational Academic Collaboration\u003c\/li\u003e \u003cli\u003eCurriculum Development\u003c\/li\u003e \u003cli\u003eDoctoral Research Supervision\u003c\/li\u003e \u003cli\u003eAI for Sustainable Development\u003c\/li\u003e \u003cli\u003eIndustry–Academia Collaboration\u003c\/li\u003e \u003cli\u003eEthical and Responsible AI\u003c\/li\u003e \u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eAditya Dayal Tyagi\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eAditya Dayal Tyagi\u003c\/b\u003e is currently serving as an Assistant Professor at Sharda University, Greater Noida, India. With over 22 years of professional experience in academia and research, he has developed expertise in diverse domains including Federated Learning, Deep Learning, Social Networks Analysis, Wireless Networks, Information Security and Sentiment Analysis. His work focuses on leveraging data-driven intelligence and privacy-preserving AI to enhance cyber and information resilience, optimize decision-making, and improve the efficiency of large-scale social networks. His research extends to applying deep learning models for sentiment analysis, uncovering patterns in user-generated data to drive smarter, AI-powered insights.\u003c\/p\u003e\n\u003cp\u003eHe is the author of two books titled “\u003cb\u003eFederated Learning in Finance : Unlocking Privacy-Preserving and Cyber Resilience using AI\u003c\/b\u003e” by CRC Press and \"\u003cb\u003eAI-Powered Pricing: Transforming Business with Intelligent Pricing Models\u003c\/b\u003e\". His more than 15 patents that have been published, and many are under processing. He has actively published in reputed international journals and conferences, showcasing his commitment to advancing the frontiers of federated learning and decentralized AI models. His work aims to bridge the gap between cutting-edge AI research and real-world applications, particularly in secure and scalable machine learning for the finance industry and sustainable decision-making. Beyond research, He engages in academic collaborations, workshops, and professional forums, contributing to innovation and translational research. His dedication to interdisciplinary innovation continues to shape emerging trends in intelligent systems and federated learning.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eRejwan Bin Sulaiman\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eDr. Rejwan Bin Sulaiman is currently serving as a Lecturer in Cyber Security at the University of Law, United Kingdom. He earned his Ph.D. in Artificial Intelligence and Cybersecurity from the University of Bedfordshire, where his doctoral research focused on federated learning-based approaches for secure and privacy-preserving financial AI systems. He has held academic positions at several institutions, including Northumbria University and Arden University.\u003c\/p\u003e\n\u003cp\u003eDr. Sulaiman’s research spans Cybersecurity, Artificial Intelligence, Computer Vision, and Machine Learning, with particular interest in developing decentralized AI models that enhance data security and user privacy. His work has been published in leading venues such as IEEE, Springer, and CRC Press, contributing to the advancement of secure machine learning frameworks in distributed environments.\u003c\/p\u003e\n\u003cp\u003eHe is a Certified Ethical Hacker (CEH) and the founder of STEMResearch.Ai, an initiative that supports and mentors early-career researchers in STEM fields. He is also a Fellow of the Higher Education Academy (FHEA) and has received multiple awards recognizing his innovative teaching practices and dedication to academic excellence.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003ePranjali Gajbhiye\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eDr. Pranjali Gajbhiye is currently working as a Neuroscientist at Woxsen University, Hyderabad, India, with a strong academic and industry background in biomedical signal processing. With two years of hands-on experience in the BCI-based healthcare industry, she specializes in EEG and fNIRS signal processing using wearable sensing technologies. She holds a PhD in Biomedical Signal Processing (ECE) from BITS Pilani, an M.Tech in Communication System Engineering from VNIT Nagpur, and a B.Tech in ECE from Nagpur University. Her research interests include biomedical signal processing, image and video processing, medical image analysis, and IoT applications in healthcare. She has authored 12+ research articles, contributed to multiple book chapters, and presented at numerous international conferences. She holds 5 patents (published), and serves as a book editor. Her work is published in Q1 journals, including IEEE Transactions on Instrumentation and Measurement. She also contributes academically as a Review Editor for the Q1 journal Frontiers in Physiology (Impact Factor 4.13)\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e20 January 2027\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eCRC Press\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eCRC Press\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9781041166757\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e360\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"CRC Press","offers":[{"title":"Default Title","offer_id":63547255586956,"sku":"9781041166757","price":150.29,"currency_code":"USD","in_stock":true}],"url":"https:\/\/lateknightbooks.com\/products\/9781041166757","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}