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Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Informatik & EDV Informatik Machine Learning Techniques for Cybersecurity
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Machine Learning Techniques for Cybersecurity
Elisa Bertino, Sonam Bhardwaj, Fabrizio Cicala, Sishuai Gong, Imtiaz Karim, Charalampos Katsis, Hyunwoo Lee, Adrian Shuai Li, Ashraf Y. Mahgoub (Broschiert, Englisch)
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Beschreibung
This book explores machine learning (ML) defenses against the many cyberattacks that make our workplaces, schools, private residences, and critical infrastructures vulnerable as a consequence of the dramatic increase in botnets, data ransom, system and network denials of service, sabotage, and data theft attacks. The use of ML techniques for security tasks has been steadily increasing in research… and also in practice over the last 10 years. Covering efforts to devise more effective defenses, the book explores security solutions that leverage machine learning (ML) techniques that have recently grown in feasibility thanks to significant advances in ML combined with big data collection and analysis capabilities. Since the use of ML entails understanding which techniques can be best used for specific tasks to ensure comprehensive security, the book provides an overview of the current state of the art of ML techniques for security and a detailed taxonomy of security tasks and corresponding ML techniques that can be used for each task. It also covers challenges for the use of ML for security tasks and outlines research directions.
While many recent papers have proposed approaches for specific tasks, such as software security analysis and anomaly detection, these approaches differ in many aspects, such as with respect to the types of features in the model and the dataset used for training the models. In a way that no other available work does, this book provides readers with a comprehensive view of the complex area of ML for security, explains its challenges, and highlights areas for future research. This book is relevant to graduate students in computer science and engineering as well as information systems studies, and will also be useful to researchers and practitioners who work in the area of ML techniques for security tasks. 48,14 €
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Technische Daten
Erscheinungsdatum
27.04.2024
Sprache
Englisch
EAN
9783031282614
Herausgeber
Springer International Publishing
Serien- oder Bandtitel
Synthesis Lectures on Information Security, Privacy, and Trust
Sonderedition
Nein
Autor
Elisa Bertino, Sonam Bhardwaj, Fabrizio Cicala, Sishuai Gong, Imtiaz Karim, Charalampos Katsis, Hyunwoo Lee, Adrian Shuai Li, Ashraf Y. Mahgoub
Seitenanzahl
165
Auflage
1
Einbandart
Broschiert
Schlagwörter
Cybersecurity, IT Security Awareness, Machine Learning, Anomaly Detection, Intrusion Detection, ML-based Fuzzing
Thema-Inhalt
UR - Computersicherheit
UTN - Netzwerksicherheit
UYQ - Künstliche Intelligenz
UYQM - Maschinelles Lernen
LNQE - Computer- und Internetkriminalität
UMZ - Software Engineering
Höhe
240 mm
Breite
16.8 cm
Hersteller: Springer Nature Customer Service Center GmbH, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com
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