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Computer Security. ESORICS 2022 International Workshops
This book constitutes the refereed proceedings of seven International Workshops which were held in conjunction with the 27th European Symposium on Research in Computer Security, ESORICS 2022, held in hybrid mode, in Copenhagen, Denmark, during September 26-30, 2022. The 39 papers included in these proceedings stem from the following workshops: 8th Workshop on the Security of Industrial Control Systems and of Cyber-Physical Systems, CyberICPS 2022, which accepted 8 papers from 15 submissions; 6th International Workshop on Security and Privacy Requirements Engineering, SECPRE 2022, which accepted 2 papers from 5 submissions; Second Workshop on Security, Privacy, Organizations, and Systems Engi...
Handbook of Research on Machine and Deep Learning Applications for Cyber Security
As the advancement of technology continues, cyber security continues to play a significant role in todays world. With society becoming more dependent on the internet, new opportunities for virtual attacks can lead to the exposure of critical information. Machine and deep learning techniques to prevent this exposure of information are being applied to address mounting concerns in computer security. The Handbook of Research on Machine and Deep Learning Applications for Cyber Security is a pivotal reference source that provides vital research on the application of machine learning techniques for network security research. While highlighting topics such as web security, malware detection, and secure information sharing, this publication explores recent research findings in the area of electronic security as well as challenges and countermeasures in cyber security research. It is ideally designed for software engineers, IT specialists, cybersecurity analysts, industrial experts, academicians, researchers, and post-graduate students.
Handbook on Data Centers
This handbook offers a comprehensive review of the state-of-the-art research achievements in the field of data centers. Contributions from international, leading researchers and scholars offer topics in cloud computing, virtualization in data centers, energy efficient data centers, and next generation data center architecture. It also comprises current research trends in emerging areas, such as data security, data protection management, and network resource management in data centers. Specific attention is devoted to industry needs associated with the challenges faced by data centers, such as various power, cooling, floor space, and associated environmental health and safety issues, while st...
Research in Attacks, Intrusions, and Defenses
This book constitutes the proceedings of the 16th International Symposium on Research in Attacks, Intrusions and Defenses, former Recent Advances in Intrusion Detection, RAID 2013, held in Rodney Bay, St. Lucia in October 2013. The volume contains 22 full papers that were carefully reviewed and selected from 95 submissions, as well as 10 poster papers selected from the 23 submissions. The papers address all current topics in computer security ranged from hardware-level security, server, web, mobile, and cloud-based security, malware analysis, and web and network privacy.
Research in Attacks, Intrusions and Defenses
This book constitutes the proceedings of the 15th International Symposium on Research in Attacks, Intrusions and Defenses, former Recent Advances in Intrusion Detection, RAID 2012, held in Amsterdam, The Netherlands in September 2012. The 18 full and 12 poster papers presented were carefully reviewed and selected from 84 submissions. The papers address all current topics in virtualization, attacks and defenses, host and network security, fraud detection and underground economy, web security, intrusion detection.
Computer Security. ESORICS 2021 International Workshops
This book constitutes the refereed proceedings of six International Workshops that were held in conjunction with the 26th European Symposium on Research in Computer Security, ESORICS 2021, which took place during October 4-6, 2021. The conference was initially planned to take place in Darmstadt, Germany, but changed to an online event due to the COVID-19 pandemic. The 32 papers included in these proceedings stem from the following workshops: the 7th Workshop on the Security of Industrial Control Systems and of Cyber-Physical Systems, CyberICPS 2021, which accepted 7 papers from 16 submissions; the 5th International Workshop on Security and Privacy Requirements Engineering, SECPRE 2021, which...
Cloud of Things
Cloud computing is the on-demand availability of computer system resources, especially data storage and computing power, without direct active management by the user. This book explores algorithms, protocols, and system design principles of key smart technologies including cloud computing and the internet of things. • Discusses the system design principles in cloud computing along with artificial intelligence, machine learning, and data analytics applications • Presents blockchain-based solutions, cyber-physical system applications, and deep learning approaches to solving practical problems • Highlights important concepts including the cloud of things architecture, cloud service manage...
Ecosystem Functioning
A new and integrative analysis of the concept of ecosystem functioning, providing guidance for its application in conservation practice.
Kicking Away the Ladder
How did the rich countries really become rich? In this provocative study, Ha-Joon Chang examines the great pressure on developing countries from the developed world to adopt certain 'good policies' and 'good institutions', seen today as necessary for economic development. His conclusions are compelling and disturbing: that developed countries are attempting to 'kick away the ladder' with which they have climbed to the top, thereby preventing developing countries from adopting policies and institutions that they themselves have used.
Deep Learning Applications for Cyber Security
Cybercrime remains a growing challenge in terms of security and privacy practices. Working together, deep learning and cyber security experts have recently made significant advances in the fields of intrusion detection, malicious code analysis and forensic identification. This book addresses questions of how deep learning methods can be used to advance cyber security objectives, including detection, modeling, monitoring and analysis of as well as defense against various threats to sensitive data and security systems. Filling an important gap between deep learning and cyber security communities, it discusses topics covering a wide range of modern and practical deep learning techniques, frameworks and development tools to enable readers to engage with the cutting-edge research across various aspects of cyber security. The book focuses on mature and proven techniques, and provides ample examples to help readers grasp the key points.
