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Author : Suman Sau
Publisher :
ISBN 13 : 9781665454933
Total Pages : 0 pages
Book Rating : 4.4/5 (549 download)
Download or read book 2022 International Conference on Machine Learning, Computer Systems and Security (MLCSS). written by Suman Sau and published by . This book was released on with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : IEEE Staff
Publisher :
ISBN 13 : 9781665454940
Total Pages : 0 pages
Book Rating : 4.4/5 (549 download)
Download or read book 2022 International Conference on Machine Learning, Computer Systems and Security (MLCSS) written by IEEE Staff and published by . This book was released on 2022-08-05 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed computing Information security Cloud computing Cloud computing security Green computing Storage area networks Data storage systems Machine learning Adversarial machine learning Data mining Edge computing Data privacy Communication system traffic control Internet of Things Internet security Internet of Things Blockchain Consensus protocol System identification Bioinformatics Deep learning Image analysis Image processing Pattern recognition Automation Robots Natural language processing
Author :
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (137 download)
Download or read book "Machine Learning, Computer Systems and Security (MLCSS), International Conference On". written by and published by . This book was released on with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Triwiyanto Triwiyanto
Publisher : Springer Nature
ISBN 13 : 981971463X
Total Pages : 690 pages
Book Rating : 4.8/5 (197 download)
Download or read book Proceedings of the 4th International Conference on Electronics, Biomedical Engineering, and Health Informatics written by Triwiyanto Triwiyanto and published by Springer Nature. This book was released on with total page 690 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Nilay Khare
Publisher : Springer Nature
ISBN 13 : 3031243528
Total Pages : 381 pages
Book Rating : 4.0/5 (312 download)
Download or read book Machine Learning, Image Processing, Network Security and Data Sciences written by Nilay Khare and published by Springer Nature. This book was released on 2023-01-17 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set (CCIS 1762-1763) constitutes the refereed proceedings of the 4th International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2022, held in Bhopal, India, in December 2022. The 64 papers presented in this two-volume set were thoroughly reviewed and selected from 399 submissions. The papers are organized according to the following topical sections: machine learning and computational intelligence; data sciences; image processing and computer vision; network and cyber security.
Author : Yuan Xu
Publisher : Springer Nature
ISBN 13 : 3031201027
Total Pages : 707 pages
Book Rating : 4.0/5 (312 download)
Download or read book Machine Learning for Cyber Security written by Yuan Xu and published by Springer Nature. This book was released on 2023-01-12 with total page 707 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume proceedings set LNCS 13655,13656 and 13657 constitutes the refereedproceedings of the 4th International Conference on Machine Learning for Cyber Security, ML4CS 2022, which taking place during December 2–4, 2022, held in Guangzhou, China. The 100 full papers and 46 short papers were included in these proceedings were carefully reviewed and selected from 367 submissions.
Author : Yuan Xu
Publisher : Springer Nature
ISBN 13 : 3031200993
Total Pages : 640 pages
Book Rating : 4.0/5 (312 download)
Download or read book Machine Learning for Cyber Security written by Yuan Xu and published by Springer Nature. This book was released on 2023-01-12 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume proceedings set LNCS 13655,13656 and 13657 constitutes the refereedproceedings of the 4th International Conference on Machine Learning for Cyber Security, ML4CS 2022, which taking place during December 2–4, 2022, held in Guangzhou, China. The 100 full papers and 46 short papers were included in these proceedings were carefully reviewed and selected from 367 submissions.
Author : Tran Khanh Dang
Publisher : Springer Nature
ISBN 13 : 9811980691
Total Pages : 773 pages
Book Rating : 4.8/5 (119 download)
Download or read book Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications written by Tran Khanh Dang and published by Springer Nature. This book was released on 2022-11-19 with total page 773 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th International Conference on Future Data and Security Engineering, FDSE 2022, held in Ho Chi Minh City, Vietnam, during November 23–25, 2022. The 41 full papers(including 4 invited keynotes) and 12 short papers included in this book were carefully reviewed and selected from 170 submissions. They were organized in topical sections as follows: invited keynotes; big data analytics and distributed systems; security and privacy engineering; machine learning and artificial intelligence for security and privacy; smart city and industry 4.0 applications; data analytics and healthcare systems; and security and data engineering.
Author : Nilay Khare
Publisher : Springer Nature
ISBN 13 : 3031243676
Total Pages : 378 pages
Book Rating : 4.0/5 (312 download)
Download or read book Machine Learning, Image Processing, Network Security and Data Sciences written by Nilay Khare and published by Springer Nature. This book was released on 2023-01-17 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set (CCIS 1762-1763) constitutes the refereed proceedings of the 4th International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2022, held in Bhopal, India, in December 2022. The 64 papers presented in this two-volume set were thoroughly reviewed and selected from 399 submissions. The papers are organized according to the following topical sections: machine learning and computational intelligence; data sciences; image processing and computer vision; network and cyber security.
Author : Clarence Chio
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491979879
Total Pages : 385 pages
Book Rating : 4.4/5 (919 download)
Download or read book Machine Learning and Security written by Clarence Chio and published by "O'Reilly Media, Inc.". This book was released on 2018-01-26 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself! With this practical guide, you’ll explore ways to apply machine learning to security issues such as intrusion detection, malware classification, and network analysis. Machine learning and security specialists Clarence Chio and David Freeman provide a framework for discussing the marriage of these two fields, as well as a toolkit of machine-learning algorithms that you can apply to an array of security problems. This book is ideal for security engineers and data scientists alike. Learn how machine learning has contributed to the success of modern spam filters Quickly detect anomalies, including breaches, fraud, and impending system failure Conduct malware analysis by extracting useful information from computer binaries Uncover attackers within the network by finding patterns inside datasets Examine how attackers exploit consumer-facing websites and app functionality Translate your machine learning algorithms from the lab to production Understand the threat attackers pose to machine learning solutions
Author : Samanta, Debabrata
Publisher : IGI Global
ISBN 13 :
Total Pages : 310 pages
Book Rating : 4.3/5 (693 download)
Download or read book Impact of Climate Change on Mental Health and Well-Being written by Samanta, Debabrata and published by IGI Global. This book was released on 2024-01-29 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Climate change has far-reaching consequences beyond its environmental impact. It also significantly affects human social and mental well-being, both at individual and community levels. Addressing the social and mental well-being impacts of climate change requires a multi-faceted approach that includes both mitigation and adaptation strategies. This involves reducing greenhouse gas emissions, supporting sustainable development, building climate-resilient communities, enhancing social support systems, and investing in mental health services to address the specific challenges of climate change. In this groundbreaking exploration, Impact of Climate Change on Mental Health and Well-Being transcends the traditional discourse on climate change by delving into its repercussions on the social and mental fabric of our communities. From the foundational examination of the connections between climate change, social stability, food security, and mental health to the nuanced exploration of eco-anxiety, ethical dilemmas, economic instability, and climate-induced migration, this work leaves no stone unturned in its quest for knowledge. The book not only identifies the problems but also offers solutions. By emphasizing a multi-faceted approach, it advocates for reducing greenhouse gas emissions, sustainable development, climate-resilient communities, and robust mental health services. It empowers readers—academics, professionals, policymakers, and the general informed public—to take actionable steps toward a sustainable and mentally resilient future. The interdisciplinary nature of this work makes it a valuable resource for graduate and postgraduate students, professionals in various fields, educators, and policymakers.
Author : Yuan Xu
Publisher : Springer Nature
ISBN 13 : 3031200969
Total Pages : 694 pages
Book Rating : 4.0/5 (312 download)
Download or read book Machine Learning for Cyber Security written by Yuan Xu and published by Springer Nature. This book was released on 2023-01-12 with total page 694 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume proceedings set LNCS 13655,13656 and 13657 constitutes the refereedproceedings of the 4th International Conference on Machine Learning for Cyber Security, ML4CS 2022, which taking place during December 2–4, 2022, held in Guangzhou, China. The 100 full papers and 46 short papers were included in these proceedings were carefully reviewed and selected from 367 submissions.
Author : Qingxin Yang
Publisher : Springer Nature
ISBN 13 : 9819714478
Total Pages : 930 pages
Book Rating : 4.8/5 (197 download)
Download or read book The Proceedings of the 18th Annual Conference of China Electrotechnical Society written by Qingxin Yang and published by Springer Nature. This book was released on with total page 930 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Brij B. Gupta
Publisher : CRC Press
ISBN 13 : 0429995717
Total Pages : 333 pages
Book Rating : 4.4/5 (299 download)
Download or read book Machine Learning for Computer and Cyber Security written by Brij B. Gupta and published by CRC Press. This book was released on 2019-02-05 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: While Computer Security is a broader term which incorporates technologies, protocols, standards and policies to ensure the security of the computing systems including the computer hardware, software and the information stored in it, Cyber Security is a specific, growing field to protect computer networks (offline and online) from unauthorized access, botnets, phishing scams, etc. Machine learning is a branch of Computer Science which enables computing machines to adopt new behaviors on the basis of observable and verifiable data and information. It can be applied to ensure the security of the computers and the information by detecting anomalies using data mining and other such techniques. This book will be an invaluable resource to understand the importance of machine learning and data mining in establishing computer and cyber security. It emphasizes important security aspects associated with computer and cyber security along with the analysis of machine learning and data mining based solutions. The book also highlights the future research domains in which these solutions can be applied. Furthermore, it caters to the needs of IT professionals, researchers, faculty members, scientists, graduate students, research scholars and software developers who seek to carry out research and develop combating solutions in the area of cyber security using machine learning based approaches. It is an extensive source of information for the readers belonging to the field of Computer Science and Engineering, and Cyber Security professionals. Key Features: This book contains examples and illustrations to demonstrate the principles, algorithms, challenges and applications of machine learning and data mining for computer and cyber security. It showcases important security aspects and current trends in the field. It provides an insight of the future research directions in the field. Contents of this book help to prepare the students for exercising better defense in terms of understanding the motivation of the attackers and how to deal with and mitigate the situation using machine learning based approaches in better manner.
Author : Rajdeep Chakraborty
Publisher : John Wiley & Sons
ISBN 13 : 1119762251
Total Pages : 484 pages
Book Rating : 4.1/5 (197 download)
Download or read book Machine Learning Techniques and Analytics for Cloud Security written by Rajdeep Chakraborty and published by John Wiley & Sons. This book was released on 2021-12-21 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: MACHINE LEARNING TECHNIQUES AND ANALYTICS FOR CLOUD SECURITY This book covers new methods, surveys, case studies, and policy with almost all machine learning techniques and analytics for cloud security solutions The aim of Machine Learning Techniques and Analytics for Cloud Security is to integrate machine learning approaches to meet various analytical issues in cloud security. Cloud security with ML has long-standing challenges that require methodological and theoretical handling. The conventional cryptography approach is less applied in resource-constrained devices. To solve these issues, the machine learning approach may be effectively used in providing security to the vast growing cloud environment. Machine learning algorithms can also be used to meet various cloud security issues, such as effective intrusion detection systems, zero-knowledge authentication systems, measures for passive attacks, protocols design, privacy system designs, applications, and many more. The book also contains case studies/projects outlining how to implement various security features using machine learning algorithms and analytics on existing cloud-based products in public, private and hybrid cloud respectively. Audience Research scholars and industry engineers in computer sciences, electrical and electronics engineering, machine learning, computer security, information technology, and cryptography.
Author : David Pastor-Escuredo
Publisher : Springer Nature
ISBN 13 : 3031609352
Total Pages : 837 pages
Book Rating : 4.0/5 (316 download)
Download or read book The Future of Artificial Intelligence and Robotics written by David Pastor-Escuredo and published by Springer Nature. This book was released on with total page 837 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Éric Renault
Publisher : Springer Nature
ISBN 13 : 3031361830
Total Pages : 190 pages
Book Rating : 4.0/5 (313 download)
Download or read book Machine Learning for Networking written by Éric Renault and published by Springer Nature. This book was released on 2023-07-06 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the post-conference proceedings of the 5th International Conference on Machine Learning for Networking, MLN 2022, held in Paris, France, November 28–30, 2022. The 12 full papers presented in this book were carefully reviewed and selected from 27 submissions. The papers present novel ideas, results, experiences and work-in-process on all aspects of Machine Learning and Networking.
