Автор: A. Harisha, Amarnath Mishra, Chandra Singh
Издательство: Apple Academic Press, CRC Press
Год: 2024
Страниц: 428
Язык: английский
Формат: pdf (true)
Размер: 16.1 MB
Vast manpower and resources are needed to investigate cybercrimes. The use of new advanced technologies, such as machine learning combined with automation, are effective in providing significant additional support in prevention of cyber-attacks, in the speedy recovery of data, and in reducing human error. This new volume offers a comprehensive study of the advances that have been made in cybercrime investigations and digital forensics, highlighting the most up-to-date tools that help to mitigate cyber-attacks and to extract digital evidence for forensic investigations to recover lost, purposefully deleted, or damaged files. The chapters look at technological cybersecurity tools such as Artificial Intelligence, Machine Learning, data mining, and others for mitigation and investigation.
This book brings together state-of-the-art data about the innovation and practices that are important for specialists to comprehend so that they can successfully direct and perform sufficient super-advanced examinations and investigations. It serves as a great source of information for crime investigations. The book will also help specialists and novices gain insight in leading assessments. The book helps to understand advancements in digital forensics in terms of methodologies used, key tactical concepts, and the tools needed to perform examinations. The proposed book starts with familiar technologies, cybersecurity, and digital forensics and then transcends towards their convergence.
Taking off from recognizable ideas to new ones will make the reader very comfortable and convinced about the practicality of achieving future digital forensics for computers, networks, cell phones, GPS, the cloud, and the internet.
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