MARC details
000 -LEADER |
fixed length control field |
04691aam a2200205 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
210401b2019 ||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9783030105426 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
005.7 |
Item number |
H2 |
245 ## - TITLE STATEMENT |
Title |
Handbook of big data and IoT security |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Name of publisher, distributor, etc |
Springer Nature |
Date of publication, distribution, etc |
2019 |
Place of publication, distribution, etc |
Cham |
300 ## - PHYSICAL DESCRIPTION |
Extent |
ix, 384 p.: col. ill. |
Other physical details |
Includes bibliographical references |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc |
Table of contents<br/><br/>Big Data and Internet of Things Security and Forensics: Challenges and Opportunities / Azmoodeh, Amin (et al.)<br/>Privacy of Big Data: A Review / Sangeetha, S. Grooby, Samuel (et al.)<br/>A Bibliometric Analysis of Authentication and Access Control in IoT Devices / Grooby, Samuel (et al.)<br/>Towards Indeterminacy-Tolerant Access Control in IoT / Heydarim, Mohammad (et al.)<br/>Private Cloud Storage Forensics: Seafile as a Case Study / Teing, Yee-Yang (et al.)<br/>Distributed Filesystem Forensics: Ceph as a Case Study / Nagrabski, Krzysztof (et al.)<br/>Forensic Investigation of Cross Platform Massively Multiplayer Online Games: Minecraft as a Case Study / Taylor, Paul J. (et al.)<br/>Big Data Forensics: Hadoop Distributed File Systems as a Case Study / Asim, Mohammed (et al.)<br/>Internet of Things Camera Identification Algorithm Based on Sensor Pattern Noise Using Color Filter Array and Wavelet Transform / Bolouri, Kimia (et al.)<br/>Protecting IoT and ICS Platforms Against Advanced Persistent Threat Actors: Analysis of APT1, Silent Chollima and Molerats / Grooby, Samuel (et al.)<br/>Analysis of APT Actors Targeting IoT and Big Data Systems: Shell_Crew, NetTraveler, ProjectSauron, Copy Kittens, Volatile Cedar and Transparent Tribe as a Case Study / Taylor, Paul J. (et al.)<br/>A Cyber Kill Chain Based Analysis of Remote Access Trojans / Nejad, Reyhaneh Hosseini (et al.)<br/>Evaluation and Application of Two Fuzzing Approaches for Security Testing of IoT Applications / Alhawi, Omar M.K. (et al.)<br/>Bibliometric Analysis on the Rise of Cloud Security / Thiam, Lim Sze (et al.)<br/>A Bibliometric Analysis of Botnet Detection Techniques / Amina, Shehu (et al.)<br/>Security in online games: current implimentation and challenges/ Parizi, Reza M. (et al.)<br/><br/> |
520 ## - SUMMARY, ETC. |
Summary, etc |
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.<br/> 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.<br/> 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.<br/> 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.<br/> 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.<br/><br/>https://www.springer.com/gp/book/9783030105426 |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Big data - Handbooks, manuals, etc. |
9 (RLIN) |
406790 |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Internet of things - Handbooks, manuals, etc. |
9 (RLIN) |
406791 |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Artificial intelligence |
9 (RLIN) |
56416 |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Dehghantanha, Ali |
Relator term |
Editor |
9 (RLIN) |
406282 |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Choo, Kim-Kwang Raymond |
Relator term |
Editor |
9 (RLIN) |
406792 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Item type |
Books |