SpringerBriefs on Cyber Security Systems and Networks – serie
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10 produkter
Cybersecurity in Digital Transformation
Scope and Applications
Häftad, 2020
569 kr
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This book brings together the essential methodologies required to understand the advancement of digital technologies into digital transformation, as well as to protect them against cyber threat vulnerabilities (in this context cybersecurity attack ontology is included, modeling different types of …
Honeypot Frameworks and Their Applications: A New Framework
Av Chee Keong NG, Lei Pan m. fl.
Häftad, 2018
660 kr
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This book presents the latest research on honeypots and their applications. After introducing readers to the basic concepts of honeypots and common types, it reviews various honeypot frameworks such as web-server-based, client-based, shadow and artificially intelligent honeypots. In addition, it …
Big Digital Forensic Data
Volume 1: Data Reduction Framework and Selective Imaging
Av Darren Quick, Kim-Kwang Raymond Choo
Häftad, 2018
551 kr
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This book provides an in-depth understanding of big data challenges to digital forensic investigations, also known as big digital forensic data. It also develops the basis of using data mining in big forensic data analysis, including data reduction, knowledge management, intelligence, and data …
Advanced Monitoring in P2P Botnets
A Dual Perspective
Häftad, 2018
660 kr
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This book presents current research in the area of advanced monitoring in P2P botnets, and uses a dual-perspective approach to discuss aspects of botnet monitoring in-depth. First, from the perspective of a defender, e.g. researchers, it introduces advanced approaches to successfully monitor …
Big Digital Forensic Data
Volume 2: Quick Analysis for Evidence and Intelligence
Av Darren Quick, Kim-Kwang Raymond Choo
Häftad, 2018
660 kr
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This book provides an in-depth understanding of big data challenges to digital forensic investigations, also known as big digital forensic data. It also develops the basis of using data mining in big forensic data analysis, including data reduction, knowledge management, intelligence, and data …
Network Intrusion Detection using Deep Learning
A Feature Learning Approach
Av Kwangjo Kim, Muhamad Erza Aminanto m. fl.
Häftad, 2018
660 kr
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This book presents recent advances in intrusion detection systems (IDSs) using state-of-the-art deep learning methods. It also provides a systematic overview of classical machine learning and the latest developments in deep learning. In particular, it discusses deep learning applications in IDSs in …
Location Privacy in Mobile Applications
Av Bo Liu, Wanlei Zhou m. fl.
Häftad, 2018
568 kr
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This book provides a comprehensive study of the state of the art in location privacy for mobile applications. It presents an integrated five-part framework for location privacy research, which includes the analysis of location privacy definitions, attacks and adversaries, location privacy …
Privacy-Preserving Deep Learning
A Comprehensive Survey
Av Kwangjo Kim, Harry Chandra Tanuwidjaja
Häftad, 2021
793 kr
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This book discusses the state-of-the-art in privacy-preserving deep learning (PPDL), especially as a tool for machine learning as a service (MLaaS), which serves as an enabling technology by combining classical privacy-preserving and cryptographic protocols with deep learning. Google and Microsoft …
Privacy-Preserving Machine Learning
Häftad, 2022
681 kr
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This book provides a thorough overview of the evolution of privacy-preserving machine learning schemes over the last ten years, after discussing the importance of privacy-preserving techniques. In response to the diversity of Internet services, data services based on machine learning are now …
Design and Cryptanalysis of ZUC
A Stream Cipher in Mobile Telephony
Av Chandra Sekhar Mukherjee, Dibyendu Roy m. fl.
Häftad, 2021
569 kr
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This book is a timely document of state-of-the art analytical techniques in the domain of stream cipher design and analysis with a specific cipher, named ZUC. It links new research to brief contextual literature review in the domain of complex LFSR-based stream ciphers. A snapshot of how stream …
