Cyber threat intelligence 9783319739502

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Название: Cyber threat intelligence
ISBN: 9783319739502
Издательство: Springer
Классификация:

Охрана окружающей среды

Электроника

Робототехника

Сетевое оборудование

Компьютерная безопасность

Компьютерные сети и коммуникации

Искусственный интеллект

ISBN-10: 3319739506
Обложка/Формат: Hardcover
Страницы: 334
Вес: 0.65 кг.
Дата издания: 14.05.2018
Серия: Advances in information security
Язык: English
Издание: 1st ed. 2018
Иллюстрации: 77 illustrations, color; 28 illustrations, black and white; vi, 334 p. 105 illus., 77 illus. in color.
Размер: 166 x 243 x 20
Читательская аудитория: General (us: trade)
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: This book provides readers with up-to-date research of emerging cyber threats and defensive mechanisms, which are timely and essential. It covers cyber threat intelligence concepts against a range of threat actors and threat tools (i.e. ransomware) in cutting-edge technologies, i.e., Internet of Things (IoT), Cloud computing and mobile devices. This book also provides the technical information on cyber-threat detection methods required for the researcher and digital forensics experts, in order to build intelligent automated systems to fight against advanced cybercrimes.The ever increasing number of cyber-attacks requires the cyber security and forensic specialists to detect, analyze and defend against the cyber threats in almost real-time, and with such a large number of attacks is not possible without deeply perusing the attack features and taking corresponding intelligent defensive actions – this in essence defines cyber threat intelligence notion. However, such intelligence would not be possible without the aid of artificial intelligence, machine learning and advanced data mining techniques to collect, analyze, and interpret cyber-attack campaigns which is covered in this book. This book will focus on cutting-edge research from both academia and industry, with a particular emphasis on providing wider knowledge of the field, novelty of approaches, combination of tools and so forth to perceive reason, learn and act on a wide range of data collected from different cyber security and forensics solutions. This book introduces the notion of cyber threat intelligence and analytics and presents different attempts in utilizing machine learning and data mining techniques to create threat feeds for a range of consumers. Moreover, this book sheds light on existing and emerging trends in the field which could pave the way for future works. The inter-disciplinary nature of this book, makes it suitable for a wide range of audiences with backgrounds in artificial intelligence, cyber security, forensics, big data and data mining, distributed systems and computer networks. This would include industry professionals, advanced-level students and researchers that work within these related fields.
Дополнительное описание: 1 Introduction.- 2 Machine Learning Aided Static Malware Analysis.- 3 Application of Machine Learning Techniques to Detecting Anomalies in Communication Networks: Datasets and Feature Selection.- 4 Application of Machine Learning Techniques to Detecting

Cyber threat intelligence,