Securing Iot And Big Data

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Securing IoT and Big Data

Vijayalakshmi Saravanan,Alagan Anpalagan,T. Poongodi,Firoz Khan
Securing IoT and Big Data Book PDF

Author : Vijayalakshmi Saravanan,Alagan Anpalagan,T. Poongodi,Firoz Khan
Publisher : CRC Press
Page : 187 pages
File Size : 42,6 Mb
Release : 2020-12-17
Category : Technology & Engineering
ISBN : 9781000258530

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Securing IoT and Big Data by Vijayalakshmi Saravanan,Alagan Anpalagan,T. Poongodi,Firoz Khan Pdf

This book covers IoT and Big Data from a technical and business point of view. The book explains the design principles, algorithms, technical knowledge, and marketing for IoT systems. It emphasizes applications of big data and IoT. It includes scientific algorithms and key techniques for fusion of both areas. Real case applications from different industries are offering to facilitate ease of understanding the approach. The book goes on to address the significance of security algorithms in combing IoT and big data which is currently evolving in communication technologies. The book is written for researchers, professionals, and academicians from interdisciplinary and transdisciplinary areas. The readers will get an opportunity to know the conceptual ideas with step-by-step pragmatic examples which makes ease of understanding no matter the level of the reader.

Security, Privacy, and Forensics Issues in Big Data

Joshi, Ramesh C.,Gupta, Brij B.
Security Privacy and Forensics Issues in Big Data Book PDF

Author : Joshi, Ramesh C.,Gupta, Brij B.
Publisher : IGI Global
Page : 456 pages
File Size : 43,8 Mb
Release : 2019-08-30
Category : Computers
ISBN : 9781522597445

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Security, Privacy, and Forensics Issues in Big Data by Joshi, Ramesh C.,Gupta, Brij B. Pdf

With the proliferation of devices connected to the internet and connected to each other, the volume of data collected, stored, and processed is increasing every day, which brings new challenges in terms of information security. As big data expands with the help of public clouds, traditional security solutions tailored to private computing infrastructures and confined to a well-defined security perimeter, such as firewalls and demilitarized zones (DMZs), are no longer effective. New security functions are required to work over the heterogenous composition of diverse hardware, operating systems, and network domains. Security, Privacy, and Forensics Issues in Big Data is an essential research book that examines recent advancements in big data and the impact that these advancements have on information security and privacy measures needed for these networks. Highlighting a range of topics including cryptography, data analytics, and threat detection, this is an excellent reference source for students, software developers and engineers, security analysts, IT consultants, academicians, researchers, and professionals.

Ubiquitous Computing and Computing Security of IoT

N. Jeyanthi,Ajith Abraham,Hamid Mcheick
Ubiquitous Computing and Computing Security of IoT Book PDF

Author : N. Jeyanthi,Ajith Abraham,Hamid Mcheick
Publisher : Springer
Page : 127 pages
File Size : 54,9 Mb
Release : 2018-10-03
Category : Technology & Engineering
ISBN : 9783030015664

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Ubiquitous Computing and Computing Security of IoT by N. Jeyanthi,Ajith Abraham,Hamid Mcheick Pdf

This provides a comprehensive overview of the key principles of security concerns surrounding the upcoming Internet of Things (IoT), and introduces readers to the protocols adopted in the IoT. It also analyses the vulnerabilities, attacks and defense mechanisms, highlighting the security issues in the context of big data. Lastly, trust management approaches and ubiquitous learning applications are examined in detail. As such, the book sets the stage for developing and securing IoT applications both today and in the future.

Handbook of Big Data and IoT Security

Ali Dehghantanha,Kim-Kwang Raymond Choo
Handbook of Big Data and IoT Security Book PDF

Author : Ali Dehghantanha,Kim-Kwang Raymond Choo
Publisher : Springer
Page : 384 pages
File Size : 48,8 Mb
Release : 2019-03-22
Category : Computers
ISBN : 9783030105433

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Handbook of Big Data and IoT Security by Ali Dehghantanha,Kim-Kwang Raymond Choo Pdf

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.

Privacy Vulnerabilities and Data Security Challenges in the IoT

Shivani Agarwal,Sandhya Makkar,Duc-Tan Tran
Privacy Vulnerabilities and Data Security Challenges in the IoT Book PDF

Author : Shivani Agarwal,Sandhya Makkar,Duc-Tan Tran
Publisher : CRC Press
Page : 235 pages
File Size : 52,6 Mb
Release : 2020-11-23
Category : Computers
ISBN : 9781000201604

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Privacy Vulnerabilities and Data Security Challenges in the IoT by Shivani Agarwal,Sandhya Makkar,Duc-Tan Tran Pdf

This book discusses the evolution of security and privacy issues in the Internet of Things (IoT). The book focuses on assembling all security- and privacy-related technologies into a single source so that students, researchers, academics, and those in the industry can easily understand the IoT security and privacy issues. This edited book discusses the use of security engineering and privacy-by-design principles to design a secure IoT ecosystem and to implement cyber-security solutions. This book takes the readers on a journey that begins with understanding security issues in IoT-enabled technologies and how these can be applied in various sectors. It walks readers through engaging with security challenges and building a safe infrastructure for IoT devices. The book helps researchers and practitioners understand the security architecture of IoT and the state-of-the-art in IoT countermeasures. It also differentiates security threats in IoT-enabled infrastructure from traditional ad hoc or infrastructural networks, and provides a comprehensive discussion on the security challenges and solutions in RFID and WSNs in IoT. This book aims to highlight the concepts of related technologies and novel findings by researchers through its chapter organization. The primary audience comprises specialists, researchers, graduate students, designers, experts, and engineers undertaking research on security-related issues.

Security and Privacy Preserving for IoT and 5G Networks

Ahmed A. Abd El-Latif,Bassem Abd-El-Atty,Salvador E. Venegas-Andraca,Wojciech Mazurczyk,Brij B. Gupta
Security and Privacy Preserving for IoT and 5G Networks Book PDF

Author : Ahmed A. Abd El-Latif,Bassem Abd-El-Atty,Salvador E. Venegas-Andraca,Wojciech Mazurczyk,Brij B. Gupta
Publisher : Springer Nature
Page : 283 pages
File Size : 40,8 Mb
Release : 2021-10-09
Category : Computers
ISBN : 9783030854287

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Security and Privacy Preserving for IoT and 5G Networks by Ahmed A. Abd El-Latif,Bassem Abd-El-Atty,Salvador E. Venegas-Andraca,Wojciech Mazurczyk,Brij B. Gupta Pdf

This book presents state-of-the-art research on security and privacy- preserving for IoT and 5G networks and applications. The accepted book chapters covered many themes, including traceability and tamper detection in IoT enabled waste management networks, secure Healthcare IoT Systems, data transfer accomplished by trustworthy nodes in cognitive radio, DDoS Attack Detection in Vehicular Ad-hoc Network (VANET) for 5G Networks, Mobile Edge-Cloud Computing, biometric authentication systems for IoT applications, and many other applications It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this particular area or those interested in grasping its diverse facets and exploring the latest advances on security and privacy- preserving for IoT and 5G networks.

The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

John MacIntyre,Jinghua Zhao,Xiaomeng Ma
The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy Book PDF

Author : John MacIntyre,Jinghua Zhao,Xiaomeng Ma
Publisher : Springer Nature
Page : 887 pages
File Size : 55,6 Mb
Release : 2020-11-04
Category : Computers
ISBN : 9783030627461

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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy by John MacIntyre,Jinghua Zhao,Xiaomeng Ma Pdf

This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020), held in Shanghai, China, on November 6, 2020. Due to the COVID-19 outbreak problem, SPIoT-2020 conference was held online by Tencent Meeting. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.

The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

John Macintyre,Jinghua Zhao,Xiaomeng Ma
The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy Book PDF

Author : John Macintyre,Jinghua Zhao,Xiaomeng Ma
Publisher : Springer Nature
Page : 999 pages
File Size : 50,8 Mb
Release : 2021-11-02
Category : Computers
ISBN : 9783030895112

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The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy by John Macintyre,Jinghua Zhao,Xiaomeng Ma Pdf

This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2021), online conference, on 30 October 2021. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.

The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

John Macintyre,Jinghua Zhao,Xiaomeng Ma
The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy Book PDF

Author : John Macintyre,Jinghua Zhao,Xiaomeng Ma
Publisher : Springer Nature
Page : 1169 pages
File Size : 41,5 Mb
Release : 2021-10-27
Category : Computers
ISBN : 9783030895082

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The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy by John Macintyre,Jinghua Zhao,Xiaomeng Ma Pdf

This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2021), online conference, on 30 October 2021. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.

Securing IoT in Industry 4.0 Applications with Blockchain

P Kaliraj,T. Devi
Securing IoT in Industry 4 0 Applications with Blockchain Book PDF

Author : P Kaliraj,T. Devi
Publisher : CRC Press
Page : 248 pages
File Size : 43,6 Mb
Release : 2021-12-03
Category : Computers
ISBN : 9781000484649

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Securing IoT in Industry 4.0 Applications with Blockchain by P Kaliraj,T. Devi Pdf

The Industry 4.0 revolution is changing the world around us. Artificial intelligence and machine learning, automation and robotics, big data, Internet of Things, augmented reality, virtual reality, and creativity are the tools of Industry 4.0. Improved collaboration is seen between smart systems and humans, which merges humans' critical and cognitive thinking abilities with highly accurate and fast industrial automation. Securing IoT in Industry 4.0 Applications with Blockchain examines the role of IoT in Industry 4.0 and how it can be made secure through various technologies including blockchain. The book begins with an in-depth look at IoT and discusses applications, architecture, technologies, tools, and programming languages. It then examines blockchain and cybersecurity, as well as how blockchain achieves cybersecurity. It also looks at cybercrimes and their preventive measures and issues related to IoT security and trust. Features An overview of how IoT is used to improve the performance of Industry 4.0 systems The evolution of the Industrial Internet of Things (IIoT), its proliferation and market share, and some examples across major industries An exploration of how smart farming is helping farmers prevent plant disease The concepts behind the Internet of Nano Things (IoNT), including the nanomachine and nanonetwork architecture and nano-communication paradigms A look at how blockchains can enhance cybersecurity in a variety of applications, including smart contracts, transferring financial instruments, and Public Key Infrastructure An overview of the structure and working of a blockchain, including the types, evolution, benefits, and applications of blockchain to industries A framework of technologies designed to shield networks, computers, and data from malware, vulnerabilities, and unauthorized activities An explanation of the automation system employed in industries along with its classification, functionality, flexibility, limitations, and applications

Big Data Analytics in Fog-Enabled IoT Networks

Govind P. Gupta,Rakesh Tripathi,Brij B. Gupta,Kwok Tai Chui
Big Data Analytics in Fog Enabled IoT Networks Book PDF

Author : Govind P. Gupta,Rakesh Tripathi,Brij B. Gupta,Kwok Tai Chui
Publisher : CRC Press
Page : 233 pages
File Size : 55,5 Mb
Release : 2023-04-19
Category : Computers
ISBN : 9781000861846

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Big Data Analytics in Fog-Enabled IoT Networks by Govind P. Gupta,Rakesh Tripathi,Brij B. Gupta,Kwok Tai Chui Pdf

The integration of fog computing with the resource-limited Internet of Things (IoT) network formulates the concept of the fog-enabled IoT system. Due to a large number of IoT devices, the IoT is a main source of Big Data. A large volume of sensing data is generated by IoT systems such as smart cities and smart-grid applications. A fundamental research issue is how to provide a fast and efficient data analytics solution for fog-enabled IoT systems. Big Data Analytics in Fog-Enabled IoT Networks: Towards a Privacy and Security Perspective focuses on Big Data analytics in a fog-enabled-IoT system and provides a comprehensive collection of chapters that touch on different issues related to healthcare systems, cyber-threat detection, malware detection, and the security and privacy of IoT Big Data and IoT networks. This book also emphasizes and facilitates a greater understanding of various security and privacy approaches using advanced artificial intelligence and Big Data technologies such as machine and deep learning, federated learning, blockchain, and edge computing, as well as the countermeasures to overcome the vulnerabilities of the fog-enabled IoT system.

Handbook of IoT and Big Data

Vijender Kumar Solanki,Vicente García Díaz,J. Paulo Davim
Handbook of IoT and Big Data Book PDF

Author : Vijender Kumar Solanki,Vicente García Díaz,J. Paulo Davim
Publisher : CRC Press
Page : 349 pages
File Size : 40,9 Mb
Release : 2019-02-21
Category : Computers
ISBN : 9780429624933

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Handbook of IoT and Big Data by Vijender Kumar Solanki,Vicente García Díaz,J. Paulo Davim Pdf

This multi-contributed handbook focuses on the latest workings of IoT (internet of Things) and Big Data. As the resources are limited, it's the endeavor of the authors to support and bring the information into one resource. The book is divided into 4 sections that covers IoT and technologies, the future of Big Data, algorithms, and case studies showing IoT and Big Data in various fields such as health care, manufacturing and automation. Features Focuses on the latest workings of IoT and Big Data Discusses the emerging role of technologies and the fast-growing market of Big Data Covers the movement toward automation with hardware, software, and sensors, and trying to save on energy resources Offers the latest technology on IoT Presents the future horizons on Big Data

Handbook of Research on Big Data and the IoT

Kaur, Gurjit,Tomar, Pradeep
Handbook of Research on Big Data and the IoT Book PDF

Author : Kaur, Gurjit,Tomar, Pradeep
Publisher : IGI Global
Page : 568 pages
File Size : 46,8 Mb
Release : 2019-03-29
Category : Computers
ISBN : 9781522574330

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Handbook of Research on Big Data and the IoT by Kaur, Gurjit,Tomar, Pradeep Pdf

The increase in connected devices in the internet of things (IoT) is leading to an exponential increase in the data that an organization is required to manage. To successfully utilize IoT in businesses, big data analytics are necessary in order to efficiently sort through the increased data. The combination of big data and IoT can thus enable new monitoring services and powerful processing of sensory data streams. The Handbook of Research on Big Data and the IoT is a pivotal reference source that provides vital research on emerging trends and recent innovative applications of big data and IoT, challenges facing organizations and the implications of these technologies on society, and best practices for their implementation. While highlighting topics such as bootstrapping, data fusion, and graph mining, this publication is ideally designed for IT specialists, managers, policymakers, analysts, software engineers, academicians, and researchers.

The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

John MacIntyre,Jinghua Zhao,Xiaomeng Ma
The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy Book PDF

Author : John MacIntyre,Jinghua Zhao,Xiaomeng Ma
Publisher : Springer Nature
Page : 907 pages
File Size : 44,6 Mb
Release : 2020-11-03
Category : Computers
ISBN : 9783030627430

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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy by John MacIntyre,Jinghua Zhao,Xiaomeng Ma Pdf

This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020), held in Shanghai, China, on November 6, 2020. Due to the COVID-19 outbreak problem, SPIoT-2020 conference was held online by Tencent Meeting. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.

Internet of Things Security and Data Protection

Sébastien Ziegler
Internet of Things Security and Data Protection Book PDF

Author : Sébastien Ziegler
Publisher : Springer
Page : 221 pages
File Size : 42,6 Mb
Release : 2019-03-19
Category : Technology & Engineering
ISBN : 9783030049843

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Internet of Things Security and Data Protection by Sébastien Ziegler Pdf

This book provides an overview of the most recent developments in Internet of Things (IoT) security and data protection. It presents the results of several international research projects addressing this topic from complementary angles. It starts by analyzing the main privacy and security threats on IoT, as well as the evolution of data protection norms, such as the European General Data Protection Regulation (GDPR), and their impact on IoT. Through a comprehensive and systematic approach, the contributors present new perspectives on IoT & Cloud Computing security requirements. They discuss the most recent approach to support trusted IoT, including new models of privacy risk assessment, labeling and certification, and contractual tools (such as Privacy PACT). Practical implementations, such as in the European Large Scale Pilots on IoT for Smart Cities (Synchronicity), are presented, explaining how they address security, privacy and data protection. Finally, innovative models to secure IoT systems are presented for the network and end-nodes security, including network threats analysis.