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" Handbook of big data and IoT security / "
Ali Dehghantanha, Kim-Kwang Raymond Choo, editors.
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BL
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| Record Number
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860820
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| Title & Author
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Handbook of big data and IoT security /\ Ali Dehghantanha, Kim-Kwang Raymond Choo, editors.
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| Publication Statement
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Cham, Switzerland :: Springer,, [2019]
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| Page. NO
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1 online resource
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| ISBN
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3030105431
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: 303010544X
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: 9783030105433
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: 9783030105440
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3030105423
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9783030105426
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| Notes
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4.2 Linux
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| Contents
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Intro; Contents; Contributors; Big Data and Internet of Things Security and Forensics: Challenges and Opportunities; 1 Introduction; 2 Book Outline; References; Privacy of Big Data: A Review; 1 Introduction; 2 Big Data; 2.1 Big Data Framework; 3 Big Data Architecture; 4 Literature Review; 4.1 Input Privacy; 4.1.1 K Anonymity; 4.1.2 diversity; 4.1.3 t-Closeness; 4.1.4 Differential Privacy; 4.2 Output Privacy; 4.2.1 Association Rule Hiding; 4.2.2 Query Auditing; 4.2.3 Classification Accuracy; 5 Metrics to Measure Data Quality; 6 Summary of Existing Big Data Privacy Preservation Models
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3.2 Ambiguity in Access Control3.3 Proposed Framework; 4 Conclusion; References; Private Cloud Storage Forensics: Seafile as a Case Study; 1 Introduction; 2 Related Work; 3 A Conceptual Private Cloud Forensics Framework; 4 Background; 5 Experimental Setup; 6 Client Forensics; 6.1 Evidence Analysis and Reconstruction; 6.2 Sync and File Management Metadata; 6.3 Authentication and Encryption Metadata; 6.4 Cloud Transaction Logs; 6.5 Data Storage; 6.6 Network Analysis; 6.7 Memory Analysis; 6.8 Server Forensics (Divide and Conquer); 6.8.1 Evidence Source Identification
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5 Findings and Analysis5.1 Directory Services; 5.2 Metadata Cluster; 5.3 Object Storage Device; 6 Conclusion and Recommendations for Further Research; References; Forensic Investigation of Cross Platform Massively Multiplayer Online Games: Minecraft as a Case Study; 1 Introduction; 1.1 Problem Statement; 2 Literature Review; 3 Research Methodology; 3.1 Forensic Framework; 3.1.1 Phase 1: Evidence Source Identification and Preservation; 3.1.2 Phase 2: Collection; 3.1.3 Phase 3: Analysis; 3.1.4 Phase 4: Reporting and Presentation; 3.2 Experimental Setup; 4 Server Analysis; 4.1 Analysis
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6.8.2 Collection and Preservation of Evidence6.8.3 Evidence Analysis and Reconstruction; 7 Discussion; 8 Conclusion and Future Work; References; Distributed Filesystem Forensics: Ceph as a Case Study; 1 Introduction; 2 Related Work; 3 Cloud Forensics Framework; 3.1 Stage 1: The Location, Collection and Examination of DIR; 3.2 Stage 2: The Location, Collection and Examination of Metadata Cluster; 3.3 Stage 3: The Location, Collection and Examination of OSD; 4 Environment and Experimental Setup; 4.1 Ceph Overview; 4.2 Ceph Filesystem; 4.3 Ceph Storage Cluster; 4.4 Environment Configuration
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7 ConclusionReferences; A Bibliometric Analysis of Authentication and Access Control in IoT Devices; 1 Introduction; 2 Methodology; 3 Findings; 3.1 Country of Origin; 3.2 Research Area; 3.3 Research Institution; 3.4 Author; 3.5 Journal; 3.6 Highly Cited Articles; 3.7 Keywords; 4 Research Trends; 4.1 Productivity; 4.2 Keywords; 5 Conclusion and Future Works; References; Towards Indeterminacy-Tolerant Access Control in IoT; 1 Introduction; 2 Background; 2.1 An Introduction to Access Control; 2.2 Access Control Models; 3 Indeterminacy in Access Control; 3.1 Uncertainty in Access Control
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| Abstract
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This handbook provides an overarching view of cyber security and digital forensic challenges related to big data and IoT environment, prior to reviewing existing data mining solutions and their potential application in big data context, and existing authentication and access control for IoT devices. An IoT access control scheme and an IoT forensic framework is also presented in this book, and it explains how the IoT forensic framework can be used to guide investigation of a popular cloud storage service. A distributed file system forensic approach is also presented, which is used to guide the investigation of Ceph. Minecraft, a Massively Multiplayer Online Game, and the Hadoop distributed file system environment are also forensically studied and their findings reported in this book. A forensic IoT source camera identification algorithm is introduced, which uses the camera's sensor pattern noise from the captured image. In addition to the IoT access control and forensic frameworks, this handbook covers a cyber defense triage process for nine advanced persistent threat (APT) groups targeting IoT infrastructure, namely: APT1, Molerats, Silent Chollima, Shell Crew, NetTraveler, ProjectSauron, CopyKittens, Volatile Cedar and Transparent Tribe. The characteristics of remote-controlled real-world Trojans using the Cyber Kill Chain are also examined. It introduces a method to leverage different crashes discovered from two fuzzing approaches, which can be used to enhance the effectiveness of fuzzers. Cloud computing is also often associated with IoT and big data (e.g., cloud-enabled IoT systems), and hence a survey of the cloud security literature and a survey of botnet detection approaches are presented in the book. Finally, game security solutions are studied and explained how one may circumvent such solutions. This handbook targets the security, privacy and forensics research community, and big data research community, including policy makers and government agencies, public and private organizations policy makers. Undergraduate and postgraduate students enrolled in cyber security and forensic programs will also find this handbook useful as a reference.
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| Subject
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Big data, Handbooks, manuals, etc.
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Internet of things, Handbooks, manuals, etc.
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Big data.
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Internet of things.
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| Dewey Classification
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005.7
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| LC Classification
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QA76.9.B45H36 2019
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| Added Entry
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Choo, Kim-Kwang Raymond
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Dehghantanha, Ali
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