Security and Privacy for Big Data, Cloud Computing and Applications

Length: 328 pages
Edition: 1
Language: English
Publisher: The Institution of Engineering and Technology
Publication Date: 2019-10-09
ISBN-10: 1785617478
ISBN-13: 9781785617478
Sales Rank: #0 (See Top 100 Books)

As big data becomes increasingly pervasive and cloud computing utilization becomes the norm, the security and privacy of our systems and data becomes more critical with emerging security and privacy threats and challenges. This book presents a comprehensive view on how to advance security and privacy in big data, cloud computing, and their applications. Topics include cryptographic tools, SDN security, big data security in IoT, privacy preserving in big data, security architecture based on cyber kill chain, privacy-aware digital forensics, trustworthy computing, privacy verification based on machine learning, and chaos-based communication systems. This book is an essential reading for networking, computing, and communications professionals, researchers, students and engineers, working with big data and cloud computing.

Title
Copyright
Contents
About the editors
Preface
Chapter 1 Privacy preserving in big data
    1.1 Privacy attacks
        1.1.1 Tabular data attack
        1.1.2 Graph data attack [3]
        1.1.3 Location privacy attack
        1.1.4 Attacks for other applications
    1.2 Privacy technologies
        1.2.1 Encryption
        1.2.2 Anonymization
        1.2.3 Differential privacy
        1.2.4 Other technologies
    1.3 Privacy metrics
        1.3.1 Uncertainty
        1.3.2 Error/Accuracy
        1.3.3 Indistinguishability
    1.4 Summary
    References
Chapter 2 Privacy-preserving analysis for big data using cryptographic tools
    2.1 Privacy-preserving data analysis
        2.1.1 Security model of privacy-preserving data analysis
    2.2 Encryption schemes with special properties
        2.2.1 Deterministic encryption and keyword search
        2.2.2 Order preserving encryption and range query
        2.2.3 Scalar-product-preserving encryption and nearest neighbor query
        2.2.4 Searchable symmetric encryption
    2.3 Schemes based on secure computation
        2.3.1 Secure computation
        2.3.2 Scalability of secure computation
        2.3.3 Secure computation on top of ORAM
    2.4 Features of reviewed solutions
    2.5 Summary
    2.6 Summary
    References
Chapter 3 Big data security in Internet of Things
    3.1 Internet-of-Things
        3.1.1 Wireless sensor network
        3.1.2 Cloud
        3.1.3 Big data analytics
    3.2 Big data security
        3.2.1 Hadoop security
        3.2.2 Cloud security
        3.2.3 Monitoring and auditing
        3.2.4 Key management
        3.2.5 Anonymization
    3.3 Summary
    References
Chapter 4 A watermark-based in situ access-control model for image big data
    4.1 Preliminaries
    4.2 Introduction
    4.3 Related work
    4.4 Problem formulation
        4.4.1 System model
        4.4.2 Attack models
        4.4.3 Design goals
    4.5 Proposed scheme
        4.5.1 Basic settings
        4.5.2 Hierarchical key-role-area access-control model
        4.5.3 Image publication
        4.5.4 Client conformance
        4.5.5 Case study
    4.6 Security and performance analysis
        4.6.1 Security analysis
        4.6.2 Performance analysis
    4.7 Conclusions
    Acknowledgments
    References
Chapter 5 Blockchain-based security and access control for BIM big data
    5.1 bcBIM: a blockchain-based big data model for BIM modification audit and provenance in mobile cloud
        5.1.1 Introduction
        5.1.2 Related work
        5.1.3 Problem formulation
        5.1.4 Proposed scheme
        5.1.5 Example—public blockchain bcBIM
        5.1.6 Example—private blockchain bcBIM
        5.1.7 Security analysis and performance analysis
        5.1.8 Conclusions
    5.2 CaACBIM: a context-aware access control model for BIM
        5.2.1 Introduction
        5.2.2 Related work
        5.2.3 Problem formulation
        5.2.4 Proposed scheme
        5.2.5 Security and performance analysis
    5.2.6 Conclusions
    Acknowledgment
    Data availability statement
    References
Chapter 6 Security of marine-information system
    6.1 Background and significance of marine information security
    6.2 The characteristics and design objective of marine-information system
    6.3 Marine information security risk analysis
    6.4 Analysis on marine-information system security demand
        6.4.1 Wireless network communication security
        6.4.2 Marine data security
        6.4.3 Marine-information-sharing security
        6.4.4 Marine-information-systematization security
    6.5 Marine information security system
        6.5.1 Marine communication and network security
        6.5.2 Marine system computing environment security
        6.5.3 Big marine data and application security
        6.5.4 Marine-information-sharing security
        6.5.5 Marine security monitoring and forewarning mechanism
        6.5.6 Marine security infrastructure
    6.6 Key security theory and technology
        6.6.1 Password and security protocol
        6.6.2 Intrusion detection
        6.6.3 Data backup and recovery technology
    6.7 Marine information security development trend and discussion
    References
Chapter 7 A layered security architecture based on cyber kill chain against advanced persistent threats
    7.1 Introduction
    7.2 Driven defensive model (course of actions)
    7.3 Defense mechanism
        7.3.1 Mitigation for each phase of CKC model
    7.4 Mapping 7D, CKC and APT actors activities
    7.5 Conclusion
    References
Chapter 8 Privacy-aware digital forensics
    8.1 Introduction
    8.2 Digital forensics
        8.2.1 Evolution of digital forensics
        8.2.2 Digital forensics rules
        8.2.3 Digital forensics challenges
    8.3 Digital privacy
        8.3.1 Evolution of digital privacy
        8.3.2 Privacy protection
        8.3.3 Privacy challenges in digital forensics
    8.4 Law, privacy and digital forensics
    8.5 Privacy-aware computer forensics
        8.5.1 Database
        8.5.2 Computer
    8.6 Privacy-aware network forensics
        8.6.1 Server
        8.6.2 Networks
        8.6.3 Browser and applications
    8.7 Beyond computer and network forensics
        8.7.1 Mobile
        8.7.2 Cloud
        8.7.3 Internet of Things
    8.8 Conclusions and final remarks
    References
Chapter 9 A survey of trust, trustworthiness and trustworthy computing: concepts, models and challenges
    9.1 Introduction
    9.2 Basic concepts and models for trust, trustworthiness and trustworthy computing
        9.2.1 Characteristics of trust, trustworthiness and trustworthy computing
        9.2.2 Trust, trustworthy and trustworthiness modelling
    9.3 Trustworthy evaluation and prediction
    9.4 Blockchain and trust
        9.4.1 Trust-free vs. trust building
        9.4.2 Blockchain as a factor of trust
    9.5 Conclusions and future research
    References
Chapter 10 Software-defined mobile networks security
    10.1 The evolution of software-defined mobile network
    10.2 SDMN architecture
        10.2.1 Network function virtualization
        10.2.2 OpenFlow
    10.3 SDMN security issues
        10.3.1 SDN original security issues
        10.3.2 Special security issues in SDMN
    10.4 SDMN security measures
        10.4.1 Data plane attack
        10.4.2 Control plane attack
        10.4.3 Application plane attack
        10.4.4 Attack at the communication protocols
        10.4.5 Category and analysis of STRIDE
        10.4.6 SDMN security challenges
    10.5 Summary
    References
Chapter 11 Dynamic public opinion evolvement modeling and supervision in social networks
    11.1 Introduction
        11.1.1 No combined analysis model for public opinion in social networks
        11.1.2 Dynamic challenge for public opinion sampling and inspection
        11.1.3 Time efficiency for public opinion supervision
    11.2 Related works
        11.2.1 Evolvement based on topo discovery and graph structure change
        11.2.2 Evolvement based on influence analysis
        11.2.3 Evolvement based on sentiment and NLP
    11.3 Dynamic public opinion evolvement modeling
        11.3.1 System model and definitions
        11.3.2 Conditional optimization problems in dynamic public opinion evolvement
    11.4 Evolvement of public opinion and supervision
        11.4.1 Preparation algorithms
        11.4.2 Evolvement and supervision algorithms
    11.5 Data and results
        11.5.1 Datasets and environment
        11.5.2 Parameters 〈μ,λ,ε(t)〉
        11.5.3 OC–SA optimization performance in TTSN evolvement effectiveness
    11.6 Discussions
    Acknowledgments
    References
Chapter 12 Privacy verification of PhotoDNA based on machine learning
    12.1 Introduction
    12.2 Hash functions
    12.3 PhotoDNA
    12.4 Content-based image classification
        12.4.1 Feature-descriptor-based image classification
        12.4.2 CNN-based image classification
    12.5 Encryption-based image classification
    12.6 Experiments
        12.6.1 Experimental framework
        12.6.2 PhotoDNA hash values dataset
    12.7 Results
    12.8 Discussion
    12.9 Conclusion
    References
Chapter 13 Chaos-based communication systems
    13.1 Cryptography and chaos
    13.2 Continuous chaotic systems
        13.2.1 Chua's chaotic system
        13.2.2 Lorentz chaotic system
        13.2.3 Chen's chaotic system
        13.2.4 Lü chaotic system
    13.3 Chaotic secure communication and its application in optical communication
        13.3.1 The design of chaotic secure communication
    13.4 Optic chaotic communication
        13.4.1 Ikeda-delayed chaotic system
        13.4.2 A chaotic system with suppressed time-delay signature based on multiple electro-optic nonlinear loops
        13.4.3 System model
        13.4.4 Time-delay signature suppression
        13.4.5 Synchronization scheme
    References
Index