Leveraging Futuristic Machine Learning and Next-Generational Security for e-Governance

Rajeev Kumar (u. a.)

ISBN 13: 9798369378847
Verlag: IGI Global, 2024
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Leveraging Futuristic Machine Learning and Next-Generational Security for e-Governance | Rajeev Kumar (u. a.) | Taschenbuch | Englisch | 2024 | IGI Global | EAN 9798369378847 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 130672340

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In an era defined by rapid technological advancement and a pressing need for effective governance, the intersection of machine learning and cybersecurity has emerged as a pivotal area of exploration and innovation. E-governance serves as a vital framework for enhancing the delivery of public services, increasing governmental transparency, and fostering citizen engagement. However, as governments increasingly rely on digital infrastructures, they expose themselves to a myriad of cyber threats that can undermine public trust and security. The contemporary landscape of e-governance must not only adapt to the wave of new digital tools but also ensure the security and integrity of the data that underpins them. Leveraging Futuristic Machine Learning and Next-Generational Security for e-Governance brings together a comprehensive collection of insights and research from leading experts in the fields of artificial intelligence, cybersecurity, and public administration. The contributions to this volume encompass theoretical frameworks, case studies, and practical applications that showcase the transformative potential of integrating machine learning with next-generation security solutions. With this resource, researchers, practitioners, and academics can work toward a new age where e-governance thrives at the nexus of machine learning and cybersecurity.

Über die Autorinnen und Autoren: Prof. (Dr.) Rajeev Kumar is a renowned academician and administrator with over 15 years of expertise in advancing professional education. He currently serves as a Professor in the Department of Computer Science and Engineering at Moradabad Institute of Technology, Moradabad, Uttar Pradesh, India. Prof. Kumar’s impressive academic credentials include a Ph.D. and a D.Sc. (Post-Doctoral Degree) in Computer Science, and a Postdoctoral Fellowship from Malaysia. He has further enhanced his expertise with certifications in Data Science and Machine Learning using Python and R Programming from IIM Raipur and advanced certifications from IBM and Google. As a senior member of IEEE, Prof. Kumar plays an active role in the IEEE Young Professional Committee and is also associated with the ACM, Computer Society of India (CSI), and SMIEEE. With core expertise in Artificial Intelligence, Cloud Computing, e-governance, and Networking, Prof. Kumar has significantly contributed to advancing academic programs. His efforts include curriculum design, delivering expert talks, and participating in high-impact leadership training programs. He has played a pivotal role in NAAC SSR preparations and has represented his institution at prestigious international academic forums in London, Mauritius, Malaysia, and Dubai. As a dedicated mentor, Prof. Kumar has guided ten scholars to complete their Ph.D. research, with four more pursuing their doctorates under his supervision and five pursuing post-doctorates from Malaysia. His exceptional guidance has earned him the Best Project Supervisor award three times. His commitment to research and innovation has cultivated a vibrant academic culture, leading to the successful incubation and development of numerous prototypes.

Noor Inayah Yaakub serves as Professor at Faculty of Economics and Management, Faculty of Law and Institute of West Asian Studies, University Kebangsaan Malaysia since 1998 until 2014. She serves as a Director of the Centre for Corporate Planning & Leadership, Deputy Dean for Research Graduate School of Business, and the -rst Head of Quality, Faculty of Law UKM. She serves at Global Wisdom Centre, University Islam Malaysia. She was admitted to the Malaysian Bar as an Advocate & Solicitor of the High Court of Malaya in 1996 became a quali-ed Shariah lawyer. She practiced law with Messrs. Abraham & Ooi and Co from 1996 to 1998S. She is also a quali-es Syarie lawyer of Negeri Sembilan. She has more than 20 years of experience in teaching Islamic Law, Syariah and Conventional Banking Law, Takaful and Insurance Law, Equity & Trust Law and Business Law and Ethics. She serves as Member of the Board Shariah Committee at CIMB Bank Berhad and Sun Life Malaysia Takaful Berhad. She served as Member of Board Shariah Committee at CIMB Islamic Bank Berhad until March 24, 2017.

Tadiwa Elisha Nyamasvisva is an experienced and motivated professional with a diverse background in education, research, and Information Technology (IT). Holding a PhD, MSc., and BSc. in IT, along with diplomas in IT and Education, he is well-equipped for various roles. His expertise lies in computer algorithm development, data analysis, network management, and more. With extensive experience as a Senior Lecturer at Infrastructure University Kuala Lumpur and previous roles as a Research Officer at PETRONAS Electromagnetics Research Cluster, Dr. Tadiwa has honed his skills in academia and industry. He has contributed significantly to the field through publications on topics like wireless sensor networks and hydrocarbon detection. Dr. Tadiwa's achievements include multiple gold and silver medals for his inventions and innovations. He is known for his dedication to learning and his enthusiasm for exploring new challenges. he is currently the Dean at the Center for Postgraduate Studies at Infrastructure University Kuala Lumpur and the head of the postgraduate programme for Doctor of Philosophy in Information Technology and Master of Information Technology at IUKL. Outside of work, Tadiwa enjoys outdoor activities such as cycling, fishing, hiking, and mountain climbing, reflecting his adventurous spirit and passion for exploration.

Rajesh Kumar Tiwari Principal of R V S College of Engineering and Technology, Jamshedpur, Jharkhand is a committed Academician with over 22 years of experience in teaching, industry and research. He has an experience in automating and implementing the technology solution on a larger scale in industries and education sector. He also has an extensive experience in designing curriculum, developing education pedagogy and managing industry-institute interaction. Rajesh Kumar Tiwari received his PhD in the field of Data Security from Birla Institute of Technology, Ranchi, in 2010. He managed to secure several competitive grants and consultant for various projects and later profoundly published more than 100 articles in competitive international journals, proceedings, books and book chapters. He has guided 4 PhD Students, 20+ Postgraduate and 300+ Undergraduate students. Such commitment is truly academic landmark. From the accolades, his academic recognition and leadership demonstrate the level of professorship. His notable contributions are recognized locally and internationally, as proven by the multiple invitations he had received as visiting professor, invited speaker, reviewer, board of editor in journals, external assessor and examiners.

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Titel: Leveraging Futuristic Machine Learning and ...
Verlag: IGI Global
Erscheinungsdatum: 2024
Einband: Taschenbuch
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Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 354 | Sprache: Englisch | Produktart: Bücher | In an era defined by rapid technological advancement and a pressing need for effective governance, the intersection of machine learning and cybersecurity has emerged as a pivotal area of exploration and innovation. E-governance serves as a vital framework for enhancing the delivery of public services, increasing governmental transparency, and fostering citizen engagement. However, as governments increasingly rely on digital infrastructures, they expose themselves to a myriad of cyber threats that can undermine public trust and security. The contemporary landscape of e-governance must not only adapt to the wave of new digital tools but also ensure the security and integrity of the data that underpins them. Leveraging Futuristic Machine Learning and Next-Generational Security for e-Governance brings together a comprehensive collection of insights and research from leading experts in the fields of artificial intelligence, cybersecurity, and public administration. The contributions to this volume encompass theoretical frameworks, case studies, and practical applications that showcase the transformative potential of integrating machine learning with next-generation security solutions. With this resource, researchers, practitioners, and academics can work toward a new age where e-governance thrives at the nexus of machine learning and cybersecurity. Bestandsnummer des Verkäufers 42890112/1

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