الصفحة 7
الصفحة 7
Computational science and its applications - ICCSA 2006 ;Vol. 3984 ; International Conference, Glasgow, UK, May 8-11, 2006, Proceedings, Part V
This ?ve-volume set was compiled following the 2006 International Conference on Computational Science and its Applications, ICCSA 2006. It represents the outstanding collection of almost 664 refereed papers selected from over 2,450 submissions to ICCSA 2006. Computational science has ?rmly established itself as a vital part of many scienti?c investigations, a?ecting researchers and practitioners in areas ranging from applications such as aerospace and automotive, to emerging technologies such as bioinformatics and nanotechnologies, to core disciplines such as ma- ematics, physics, and chemistry.
Computational intelligence, cyber security and computational models. models and techniques for intelligent systems and automation ; 4th International Conference, ICC3 2019, Coimbatore, India, December 19–21, 2019, Revised Selected Papers
This book constitutes the proceedings of the 4th International Conference on Computational Intelligence, Cyber Security, and Computational Models, ICC3 2019, which was held in Coimbatore, India, in December 2019. The 9 papers presented in this volume were carefully reviewed and selected from 38 submissions. They were organized in topical sections named: computational intelligence; cyber security; and computational models.
Cloud Computing Solutions : Architecture, Data Storage, Implementation, and Security
Includes all the cloud-related technologies in a single platform, so that researchers, academicians, postgraduate students, and those in the industry can easily understand the cloud-based ecosystems. Discusses the evolution of cloud computing through grid computing and cluster computing. It will help researchers and practitioners to understand grid and distributed computing cloud infrastructure, virtual machines, virtualization, live migration, scheduling techniques, auditing concept, security and privacy, business models, and case studies through the state-of-the-art cloud computing countermeasures. The topics treated in the book include:The evolution of cloud computing from grid computing, cluster computing, and distributed systems / Covers cloud computing and virtualization environments / Discusses live migration, database, auditing, and applications as part of the materials related to cloud computing / Provides concepts of cloud storage, cloud strategy planning, and management, cloud security, and privacy issues / Explains complex concepts clearly and covers information for advanced users and beginners.
Machine Learning, Image Processing, Network Security and Data Sciences ; 2nd International conference, MIND 2020, Silchar, India, July 30 - 31, 2020, Proceedings, Part II
This two-volume set (CCIS 1240-1241) constitutes the refereed proceedings of the Second International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2020, held in Silchar, India. Due to the COVID-19 pandemic the conference has been postponed to July 2020. The 79 full papers and 4 short papers were thoroughly reviewed and selected from 219 submissions. The papers are organized according to the following topical sections: data science and big data; image processing and computer vision; machine learning and computational intelligence; network and cyber security.
Machine Learning for Cyber Security ; 3rd International Conference, ML4CS 2020, Guangzhou, China, October 8–10, 2020, Proceedings, Part I
Constitutes the proceedings of the Third International Conference on Machine Learning for Cyber Security, ML4CS 2020, held in Xi’an, China in October 2020. The 118 full papers and 40 short papers presented were carefully reviewed and selected from 360 submissions. The papers offer a wide range of the following subjects: Machine learning, security, privacy-preserving, cyber security, Adversarial machine Learning, Malware detection and analysis, Data mining, and Artificial Intelligence.
Machine learning approach for cloud data analytics in IoT
Covers the multidimensional perspective of machine learning through the perspective of cloud computing and Internet of Things ranging from fundamentals to advanced applications. Elucidates some of the best practices and their respective outcomes in cloud and fog computing environments. It focuses on all the various research issues related to big data storage and analysis, large-scale data processing, knowledge discovery and knowledge management, computational intelligence, data security and privacy, data representation and visualization, and data analytics. The featured technologies presented in the book optimizes various industry processes using business intelligence in engineering and technology. Light is also shed on cloud-based embedded software development practices to integrate complex machines so as to increase productivity and reduce operational costs. The various practices of data science and analytics which are used in all sectors to understand big data and analyze massive data patterns are also detailed in the book.
Machine Learning and Knowledge Extraction ; 5th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2021, Virtual Event, August 17–20, 2021, Proceedings
Constitutes the refereed proceedings of the 5th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2021, held in virtually in August 2021. The 20 full papers and 2 short papers presented were carefully reviewed and selected from 48 submissions. The cross-domain integration and appraisal of different fields provides an atmosphere to foster different perspectives and opinions; it will offer a platform for novel ideas and a fresh look on the methodologies to put these ideas into business for the benefit of humanity.
IT Security Controls : A Guide to Corporate Standards and Frameworks
Gives an overview of the major standards and frameworks, and a proposed architecture to meet them. The book identifies and describes the necessary controls and processes that must be implemented in order to secure your organization's infrastructure. The book proposes a comprehensive approach to the implementation of IT security controls with an easily understandable graphic implementation proposal to comply with the most relevant market standards (ISO 27001, NIST, PCI-DSS, and COBIT) and a significant number of regulatory frameworks from central banks across the World (European Union, Switzerland, UK, Singapore, Hong Kong, India, Qatar, Kuwait, Saudi Arabia, Oman, etc.). You will learn: Understand corporate IT security controls, including governance, policies, procedures, and security awareness Know cybersecurity and risk assessment techniques such as penetration testing, red teaming, compliance scans, firewall assurance, and vulnerability scans Understand technical IT security controls for unmanaged and managed devices, and perimeter controls Implement security testing tools such as steganography, vulnerability scanners, session hijacking, intrusion detection, and more
Communications and Multimedia Security ; Vol.4237 ; 10th IFIP TC-6 TC 11 International Conference, CMS 2006, Heraklion Crete, Greece, October 19-21, 2006, Proceedings
Scientists, managers, and politicians all over the world havedesignedandarecurrently implementing systematicapproachesto network and information security, most of which are underlined by the principle: there is much more room for improvement and research. Along the lines of encouraging and catalyzing research in the area of c- munications and multimedia security, it is our great pleasure to present the proceedings of the 10th IFIP TC-6 TC-11 Conference on Communications and MultimediaSecurity(CMS2006), we sought a balanced program containing presentations on various aspects of secure c- munication and multimedia systems.
Building the Infrastructure for Cloud Security : A Solutions view
For cloud users and providers alike, security is an everyday concern, yet there are very few books covering cloud security as a main subject. This book will help address this information gap from an Information Technology solution and usage-centric view of cloud infrastructure security. The book highlights the fundamental technology components necessary to build and enable trusted clouds. Here also is an explanation of the security and compliance challenges organizations face as they migrate mission-critical applications to the cloud, and how trusted clouds, that have their integrity rooted in hardware, can address these challenges.
Botnet Detection : Countering the Largest Security Threat
Botnet Detection: Countering the Largest Security Threat, a contributed volume by world-class leaders in this field, is based on the June 2006 ARO workshop on Botnets. This edited volume represents the state-of-the-art in research on Botnets. It provides botnet detection techniques and response strategies, as well as the latest results from leading academic, industry and government researchers.
Blockchain : Empowering Secure Data Sharing
The book explains the security architecture model and the practice of building data sharing from the blockchain infrastructure, allowing readers to understand the importance of data sharing security based on the blockchain framework, as well as the threats to security and privacy. Further, by presenting specific data sharing case studies, it offers insights into solving data security sharing problems in more practical fields. The book is intended for readers with a basic understanding of the blockchain infrastructure, consensus mechanisms, smart contracts, secure multiparty computing, homomorphic encryption and image retrieval technologies.
Big data-enabled internet of things
Covers analytical techniques for handling the huge amount of data generated by the Internet of Things, from architectures and platforms to security and privacy issues, applications, and challenges as well as future directions. The fields of Big Data and the Internet of Things (IoT) have seen tremendous advances, developments, and growth in recent years. The IoT is the inter-networking of connected smart devices, buildings, vehicles and other items which are embedded with electronics, software, sensors and actuators, and network connectivity that enable these objects to collect and exchange data. The IoT produces a lot of data. Big data describes very large and complex data sets that traditional data processing application software is inadequate to deal with, and the use of analytical methods to extract value from data. This edited book covers analytical techniques for handling the huge amount of data generated by the Internet of Things, from architectures and platforms to security and privacy issues, applications, and challenges as well as future directions.
Big Data Recommender Systems ; Vol.2 : Application Paradigms
Combines experimental and theoretical research on big data recommender systems to help computer scientists develop new concepts and methodologies for complex applications. It includes original scientific contributions in the form of theoretical foundations, comparative analysis, surveys, case studies, techniques and tools. First designed to generate personalized recommendations to users in the 90s, recommender systems apply knowledge discovery techniques to users’ data to suggest information, products, and services that best match their preferences. In recent decades, we have seen an exponential increase in the volumes of data, which has introduced many new challenges. recommender systems. Volume 2 covers a broad range of application paradigms for recommender systems over 22 chapters
Big Data Recommender Systems ; Vol.1 : Algorithms, Architectures, Big Data, Security and Trust
Combines experimental and theoretical research on big data recommender systems to help computer scientists develop new concepts and methodologies for complex applications. It includes original scientific contributions in the form of theoretical foundations, comparative analysis, surveys, case studies, techniques and tools.
Autonomic and Trusted Computing ; 5th International Conference, ATC 2008, Oslo, Norway, June 23-25, 2008 Proceedings
This book constitutes the refereed procedings of the 5th International Conference on Autonomic and Trusted Computing, ATC 2008, held in Oslo, Norway, in June 2008, co-located with UIC 2008, the 5th International Conference on Ubiquitous Intelligence and Computing.
Autonomic and Trusted Computing ; 4th International Conference, ATC 2007, Hong Kong, China, July 11-13, 2007, Proceedings
To cope with the growing and ubiquitous complexity, autonomic computing (AC) focuses on se- manageable computing and communication systems that exhibit self-awareness, self-configuration, self-optimization, self-healing, self-protection and other self-x operations to the maximum extenteven without human interventionor guidance. Organiccomputing(OC)additionally emphasizes natural-analogueconceptslike self-organization and controlled emergence. Any autonomic ororganic system must be trus tworthy to avoid the risk of l- ing control and to retain confidence that the system will not fail. Trust and/or distrust relationships on the Internet and in pervasive infrastructures are key factors to enable dynamic interaction and cooperation of various users, systems and services. Trusted/trustworthy computing (TC) aims at making computing and communication systems as well as services available, predictable, traceable, controllable, assessable, sustainable, dependable, persist-able, security/privacy protect-able, etc.
Artificial neural networks in Pattern Recognition ; 9th IAPR TC3 Workshop, ANNPR 2020, Winterthur, Switzerland, September 2–4, 2020, Proceedings
This book constitutes the refereed proceedings of the 9th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2020, held in Winterthur, Switzerland, in September 2020. The conference was held virtually due to the COVID-19 pandemic. The 22 revised full papers presented were carefully reviewed and selected from 34 submissions. The papers present and discuss the latest research in all areas of neural network-and machine learning-based pattern recognition. They are organized in two sections: learning algorithms and architectures, and applications.
Artificial intelligence and security ; 6th International Conference, ICAIS 2020, Hohhot, China, July 17–20, 2020, Proceedings, Part III
The 3-volume set CCIS 1252 until CCIS 1254 constitutes the refereed proceedings of the 6th International Conference on Artificial Intelligence and Security, ICAIS 2020, which was held in Hohhot, China, in July 2020. The conference was formerly called “International Conference on Cloud Computing and Security” with the acronym ICCCS.
Artificial Intelligence and Security ; 6th International Conference, ICAIS 2020, Hohhot, China, July 17–20, 2020, Proceedings, Part II
The 3-volume set CCIS 1252 until CCIS 1254 constitutes the refereed proceedings of the 6th International Conference on Artificial Intelligence and Security, ICAIS 2020, which was held in Hohhot, China, in July 2020. The conference was formerly called “International Conference on Cloud Computing and Security” with the acronym ICCCS.
