Nhien-An Le-Khac – författare

In a unique and systematic way, this book discusses the security and privacy aspects of the cloud, and the relevant cloud forensics.Cloud computing is an emerging yet revolutionary technology that has been changing the way people live and work. However, with the continuous growth of cloud computing and related services, security and privacy has become a critical issue. Written by some of the top experts in the field, this book specifically discusses security and privacy of the cloud, as well as the digital forensics of cloud data, applications, and services. The first half of the book enables readers to have a comprehensive understanding and background of cloud security, which will help them through the digital investigation guidance and recommendations found in the second half of the book.Part One of Security, Privacy and Digital Forensics in the Cloud covers cloud infrastructure security; confidentiality of data; access control in cloud IaaS; cloud security and privacy management; hacking and countermeasures; risk management and disaster recovery; auditing and compliance; and security as a service (SaaS). Part Two addresses cloud forensics – model, challenges, and approaches; cyberterrorism in the cloud; digital forensic process and model in the cloud; data acquisition; digital evidence management, presentation, and court preparation; analysis of digital evidence; and forensics as a service (FaaS). Thoroughly covers both security and privacy of cloud and digital forensicsContributions by top researchers from the U.S., the European and other countries, and professionals active in the field of information and network security, digital and computer forensics, and cloud and big dataOf interest to those focused upon security and implementation, and incident managementLogical, well-structured, and organized to facilitate comprehensionSecurity, Privacy and Digital Forensics in the Cloud is an ideal book for advanced undergraduate and master's-level students in information systems, information technology, computer and network forensics, as well as computer science. It can also serve as a good reference book for security professionals, digital forensics practitioners and cloud service providers.

Adopting an experiential learning approach, this book describes how cyber forensics researchers, educators and practitioners can keep pace with technological advances, and acquire the essential knowledge and skills, ranging from IoT forensics, malware analysis, and CCTV and cloud forensics to network forensics and financial investigations.

Adopting an experiential learning approach, this book describes how cyber forensics researchers, educators and practitioners can keep pace with technological advances, and acquire the essential knowledge and skills, ranging from IoT forensics, malware analysis, and CCTV and cloud forensics to network forensics and financial investigations.

Adopting an experimental learning approach, this book describes a practical forensic process to acquire and analyze databases from a given device and/or application.

Adopting an experimental learning approach, this book describes a practical forensic process to acquire and analyze databases from a given device and/or application.

This book presents selected papers from the 13th International Conference on Information Technology and its Applications (CITA 2024) which took place on July 19–20, 2024.

This four-volume set constitutes the refereed proceedings of the First International Conference on on Computational Intelligence in Engineering Science, ICCIES 2025, in Ho Chi Minh City, Vietnam, during July 23–25, 2025. The 115 full papers presented in these proceedings were carefully reviewed and selected from 210 submissions.

This four-volume set constitutes the refereed proceedings of the First International Conference on on Computational Intelligence in Engineering Science, ICCIES 2025, in Ho Chi Minh City, Vietnam, during July 23–25, 2025. The 115 full papers presented in these proceedings were carefully reviewed and selected from 210 submissions.

This four-volume set constitutes the refereed proceedings of the First International Conference on on Computational Intelligence in Engineering Science, ICCIES 2025, in Ho Chi Minh City, Vietnam, during July 23–25, 2025. The 115 full papers presented in these proceedings were carefully reviewed and selected from 210 submissions.

This four-volume set constitutes the refereed proceedings of the First International Conference on on Computational Intelligence in Engineering Science, ICCIES 2025, in Ho Chi Minh City, Vietnam, during July 23–25, 2025.The 115 full papers presented in these proceedings were carefully reviewed and selected from 210 submissions. The papers are organized in the following topical sections:Part I: Machine Learning; Wireless Networks (6G)Part II: Computer Vision; Natural Language ProcessingPart III: Intelligent Systems; Internet of ThingsPart IV: Machine Learning; Control Systems

This three-volume set CCIS 2943-2945 constitutes the refereed proceedings of the Second International Conference on Computational Intelligence in Engineering Science, ICCIES 2026, held in Nha Trang, Vietnam, during April 2–4, 2026.The 131 full papers included in these volumes were carefully reviewed and selected from 290 submissions. They were organized into topical sections as follows:Part I: Natural Language Processing; Computer VisionPart II: Machine Learning; Intelligent Systems; IoTPart III: Wireless Networks (6G); Cyber Security; Control System.

This three-volume set CCIS 2943-2945 constitutes the refereed proceedings of the Second International Conference on Computational Intelligence in Engineering Science, ICCIES 2026, held in Nha Trang, Vietnam, during April 2–4, 2026.The 131 full papers included in these volumes were carefully reviewed and selected from 290 submissions. They were organized into topical sections as follows:Part I: Natural Language Processing; Computer VisionPart II: Machine Learning; Intelligent Systems; IoTPart III: Wireless Networks (6G); Cyber Security; Control System.