Ai Enabled Threat Detection And Security Analysis For Industrial Iot

Author : Hadis Karimipour,Farnaz Derakhshan
Publisher : Springer Nature
Page : 250 pages
File Size : 52,5 Mb
Release : 2021-08-03
Category : Computers
ISBN : 9783030766139

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AI-Enabled Threat Detection and Security Analysis for Industrial IoT by Hadis Karimipour,Farnaz Derakhshan Pdf

This contributed volume provides the state-of-the-art development on security and privacy for cyber-physical systems (CPS) and industrial Internet of Things (IIoT). More specifically, this book discusses the security challenges in CPS and IIoT systems as well as how Artificial Intelligence (AI) and Machine Learning (ML) can be used to address these challenges. Furthermore, this book proposes various defence strategies, including intelligent cyber-attack and anomaly detection algorithms for different IIoT applications. Each chapter corresponds to an important snapshot including an overview of the opportunities and challenges of realizing the AI in IIoT environments, issues related to data security, privacy and application of blockchain technology in the IIoT environment. This book also examines more advanced and specific topics in AI-based solutions developed for efficient anomaly detection in IIoT environments. Different AI/ML techniques including deep representation learning, Snapshot Ensemble Deep Neural Network (SEDNN), federated learning and multi-stage learning are discussed and analysed as well. Researchers and professionals working in computer security with an emphasis on the scientific foundations and engineering techniques for securing IIoT systems and their underlying computing and communicating systems will find this book useful as a reference. The content of this book will be particularly useful for advanced-level students studying computer science, computer technology, cyber security, and information systems. It also applies to advanced-level students studying electrical engineering and system engineering, who would benefit from the case studies.

Author : Velliangiri Sarveshwaran,Joy Iong-Zong Chen,Danilo Pelusi
Publisher : Springer Nature
Page : 374 pages
File Size : 49,9 Mb
Release : 2023-07-15
Category : Computers
ISBN : 9789819921157

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Artificial Intelligence and Cyber Security in Industry 4.0 by Velliangiri Sarveshwaran,Joy Iong-Zong Chen,Danilo Pelusi Pdf

This book provides theoretical background and state-of-the-art findings in artificial intelligence and cybersecurity for industry 4.0 and helps in implementing AI-based cybersecurity applications. Machine learning-based security approaches are vulnerable to poison datasets which can be caused by a legitimate defender's misclassification or attackers aiming to evade detection by contaminating the training data set. There also exist gaps between the test environment and the real world. Therefore, it is critical to check the potentials and limitations of AI-based security technologies in terms of metrics such as security, performance, cost, time, and consider how to incorporate them into the real world by addressing the gaps appropriately. This book focuses on state-of-the-art findings from both academia and industry in big data security relevant sciences, technologies, and applications. ​

Author : Shilpa Mahajan,Mehak Khurana,Vania Vieira Estrela
Publisher : John Wiley & Sons
Page : 373 pages
File Size : 43,9 Mb
Release : 2024-06-12
Category : Computers
ISBN : 9781394196449

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Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection by Shilpa Mahajan,Mehak Khurana,Vania Vieira Estrela Pdf

Comprehensive resource providing strategic defense mechanisms for malware, handling cybercrime, and identifying loopholes using artificial intelligence (AI) and machine learning (ML) Applying Artificial Intelligence in Cyber Security Analytics and Cyber Threat Detection is a comprehensive look at state-of-the-art theory and practical guidelines pertaining to the subject, showcasing recent innovations, emerging trends, and concerns as well as applied challenges encountered, and solutions adopted in the fields of cybersecurity using analytics and machine learning. The text clearly explains theoretical aspects, framework, system architecture, analysis and design, implementation, validation, and tools and techniques of data science and machine learning to detect and prevent cyber threats. Using AI and ML approaches, the book offers strategic defense mechanisms for addressing malware, cybercrime, and system vulnerabilities. It also provides tools and techniques that can be applied by professional analysts to safely analyze, debug, and disassemble any malicious software they encounter. With contributions from qualified authors with significant experience in the field, Applying Artificial Intelligence in Cyber Security Analytics and Cyber Threat Detection explores topics such as: Cybersecurity tools originating from computational statistics literature and pure mathematics, such as nonparametric probability density estimation, graph-based manifold learning, and topological data analysis Applications of AI to penetration testing, malware, data privacy, intrusion detection system (IDS), and social engineering How AI automation addresses various security challenges in daily workflows and how to perform automated analyses to proactively mitigate threats Offensive technologies grouped together and analyzed at a higher level from both an offensive and defensive standpoint Providing detailed coverage of a rapidly expanding field, Applying Artificial Intelligence in Cyber Security Analytics and Cyber Threat Detection is an essential resource for a wide variety of researchers, scientists, and professionals involved in fields that intersect with cybersecurity, artificial intelligence, and machine learning.

Author : Masoud Abbaszadeh,Ali Zemouche
Publisher : Springer Nature
Page : 383 pages
File Size : 40,7 Mb
Release : 2022-08-08
Category : Technology & Engineering
ISBN : 9783030971663

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Security and Resilience in Cyber-Physical Systems by Masoud Abbaszadeh,Ali Zemouche Pdf

This book discusses the latest advances in cyber-physical security and resilience of cyber-physical systems, including cyber-attack detection, isolation, situation awareness, resilient estimation and resilient control under attack. It presents both theoretical results and important applications of the methods. Security and Resilience in Cyber-Physical Systems begins by introducing the topic of cyber-physical security, covering state-of-the-art trends in both theory and applications, as well as some of the emerging methodologies and future directions for research. It then moves on to detail theoretical methods of attack detection, resilient estimation and control within cyber-physical systems, before discussing their various applications, such as power generation and distribution, autonomous systems, wireless communication networks and chemical plants. Focusing on the detection of and accommodation to cyber-attacks on cyber-physical systems, and including both estimation and artificial-intelligence-based methods, this book will be of interest to researchers, engineers and graduate students within the fields of cyber-physical security and resilient control.

Author : Prodipto Das
Publisher : Springer Nature
Page : 302 pages
File Size : 40,6 Mb
Release : 2024-06-01
Category : Electronic
ISBN : 9783031472213

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Advanced Computing, Machine Learning, Robotics and Internet Technologies by Prodipto Das Pdf

Author : Elias Bou-Harb,Nataliia Neshenko
Publisher : Springer Nature
Page : 98 pages
File Size : 52,6 Mb
Release : 2020-05-30
Category : Computers
ISBN : 9783030458584

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Cyber Threat Intelligence for the Internet of Things by Elias Bou-Harb,Nataliia Neshenko Pdf

This book reviews IoT-centric vulnerabilities from a multidimensional perspective by elaborating on IoT attack vectors, their impacts on well-known security objectives, attacks which exploit such vulnerabilities, coupled with their corresponding remediation methodologies. This book further highlights the severity of the IoT problem at large, through disclosing incidents of Internet-scale IoT exploitations, while putting forward a preliminary prototype and associated results to aid in the IoT mitigation objective. Moreover, this book summarizes and discloses findings, inferences, and open challenges to inspire future research addressing theoretical and empirical aspects related to the imperative topic of IoT security. At least 20 billion devices will be connected to the Internet in the next few years. Many of these devices transmit critical and sensitive system and personal data in real-time. Collectively known as “the Internet of Things” (IoT), this market represents a $267 billion per year industry. As valuable as this market is, security spending on the sector barely breaks 1%. Indeed, while IoT vendors continue to push more IoT devices to market, the security of these devices has often fallen in priority, making them easier to exploit. This drastically threatens the privacy of the consumers and the safety of mission-critical systems. This book is intended for cybersecurity researchers and advanced-level students in computer science. Developers and operators working in this field, who are eager to comprehend the vulnerabilities of the Internet of Things (IoT) paradigm and understand the severity of accompanied security issues will also be interested in this book.

Author : Éric Renault,Paul Mühlethaler
Publisher : Springer Nature
Page : 190 pages
File Size : 50,8 Mb
Release : 2023-07-06
Category : Computers
ISBN : 9783031361838

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Machine Learning for Networking by Éric Renault,Paul Mühlethaler Pdf

This book constitutes the post-conference proceedings of the 5th International Conference on Machine Learning for Networking, MLN 2022, held in Paris, France, November 28–30, 2022. The 12 full papers presented in this book were carefully reviewed and selected from 27 submissions. The papers present novel ideas, results, experiences and work-in-process on all aspects of Machine Learning and Networking.

Author : Kayhan Ghafoor,Kevin Curran,Linghe Kong,Ali Safa Sadiq
Publisher : CRC Press
Page : 295 pages
File Size : 41,9 Mb
Release : 2020-12-30
Category : Computers
ISBN : 9781000293159

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Security and Organization within IoT and Smart Cities by Kayhan Ghafoor,Kevin Curran,Linghe Kong,Ali Safa Sadiq Pdf

This book aims to provide the latest research developments and results in the domain of AI techniques for smart cyber ecosystems. It presents a holistic insight into AI-enabled theoretic approaches and methodology in IoT networking, security analytics using AI tools and network automation, which ultimately enable intelligent cyber space. This book will be a valuable resource for students, researchers, engineers and policy makers working in various areas related to cybersecurity and privacy for Smart Cities. This book includes chapters titled "An Overview of the Artificial Intelligence Evolution and Its Fundamental Concepts, and Their Relationship with IoT Security", "Smart City: Evolution and Fundamental Concepts", "Advances in AI-Based Security for Internet of Things in Wireless Virtualization Environment", "A Conceptual Model for Optimal Resource Sharing of Networked Microgrids Focusing Uncertainty: Paving Path to Eco-friendly Smart Cities", "A Novel Framework for a Cyber Secure Smart City", "Contemplating Security Challenges and Threats for Smart Cities", "Self-Monitoring Obfuscated IoT Network", "Introduction to Side Channel Attacks and Investigation of Power Analysis and Fault Injection Attack Techniques", "Collaborative Digital Forensic Investigations Model for Law Enforcement: Oman as a Case Study", "Understanding Security Requirements and Challenges in the Industrial Internet of Things: A Review", "5G Security and the Internet of Things", "The Problem of Deepfake Videos and How to Counteract Them in Smart Cities", "The Rise of Ransomware Aided by Vulnerable IoT Devices", "Security Issues in Self-Driving Cars within Smart Cities", and "Trust-Aware Crowd Associated Network-Based Approach for Optimal Waste Management in Smart Cities". This book provides state-of-the-art research results and discusses current issues, challenges, solutions and recent trends related to security and organization within IoT and Smart Cities. We expect this book to be of significant importance not only to researchers and practitioners in academia, government agencies and industries, but also for policy makers and system managers. We anticipate this book to be a valuable resource for all those working in this new and exciting area, and a "must have" for all university libraries.

Author : Paramartha Dutta,Abhishek Bhattacharya,Soumi Dutta,Wen-Cheng Lai
Publisher : Springer Nature
Page : 670 pages
File Size : 44,9 Mb
Release : 2022-09-29
Category : Technology & Engineering
ISBN : 9789811946769

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Emerging Technologies in Data Mining and Information Security by Paramartha Dutta,Abhishek Bhattacharya,Soumi Dutta,Wen-Cheng Lai Pdf

This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2022) held at Institute of Engineering & Management, Kolkata, India, during February 23–25, 2022. The book is organized in three volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, and case studies related to all the areas of data mining, machine learning, Internet of Things (IoT), and information security.

Author : Sravani Bhattacharjee
Publisher : Packt Publishing Ltd
Page : 316 pages
File Size : 44,5 Mb
Release : 2018-07-30
Category : Computers
ISBN : 9781788830850

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Practical Industrial Internet of Things Security by Sravani Bhattacharjee Pdf

Skillfully navigate through the complex realm of implementing scalable, trustworthy industrial systems and architectures in a hyper-connected business world. Key Features Gain practical insight into security concepts in the Industrial Internet of Things (IIoT) architecture Demystify complex topics such as cryptography and blockchain Comprehensive references to industry standards and security frameworks when developing IIoT blueprints Book Description Securing connected industries and autonomous systems is a top concern for the Industrial Internet of Things (IIoT) community. Unlike cybersecurity, cyber-physical security is an intricate discipline that directly ties to system reliability as well as human and environmental safety. Practical Industrial Internet of Things Security enables you to develop a comprehensive understanding of the entire spectrum of securing connected industries, from the edge to the cloud. This book establishes the foundational concepts and tenets of IIoT security by presenting real-world case studies, threat models, and reference architectures. You’ll work with practical tools to design risk-based security controls for industrial use cases and gain practical know-how on the multi-layered defense techniques including Identity and Access Management (IAM), endpoint security, and communication infrastructure. Stakeholders, including developers, architects, and business leaders, can gain practical insights in securing IIoT lifecycle processes, standardization, governance and assess the applicability of emerging technologies, such as blockchain, Artificial Intelligence, and Machine Learning, to design and implement resilient connected systems and harness significant industrial opportunities. What you will learn Understand the crucial concepts of a multi-layered IIoT security framework Gain insight on securing identity, access, and configuration management for large-scale IIoT deployments Secure your machine-to-machine (M2M) and machine-to-cloud (M2C) connectivity Build a concrete security program for your IIoT deployment Explore techniques from case studies on industrial IoT threat modeling and mitigation approaches Learn risk management and mitigation planning Who this book is for Practical Industrial Internet of Things Security is for the IIoT community, which includes IIoT researchers, security professionals, architects, developers, and business stakeholders. Anyone who needs to have a comprehensive understanding of the unique safety and security challenges of connected industries and practical methodologies to secure industrial assets will find this book immensely helpful. This book is uniquely designed to benefit professionals from both IT and industrial operations backgrounds.

Author : Luhach, Ashish Kumar,Elçi, Atilla
Publisher : IGI Global
Page : 392 pages
File Size : 46,9 Mb
Release : 2020-11-13
Category : Computers
ISBN : 9781799851028

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Artificial Intelligence Paradigms for Smart Cyber-Physical Systems by Luhach, Ashish Kumar,Elçi, Atilla Pdf

Cyber-physical systems (CPS) have emerged as a unifying name for systems where cyber parts (i.e., the computing and communication parts) and physical parts are tightly integrated, both in design and during operation. Such systems use computations and communication deeply embedded in and interacting with human physical processes as well as augmenting existing and adding new capabilities. As such, CPS is an integration of computation, networking, and physical processes. Embedded computers and networks monitor and control the physical processes, with feedback loops where physical processes affect computations and vice versa. The economic and societal potential of such systems is vastly greater than what has been realized, and major investments are being made worldwide to develop the technology. Artificial Intelligence Paradigms for Smart Cyber-Physical Systems focuses on the recent advances in Artificial intelligence-based approaches towards affecting secure cyber-physical systems. This book presents investigations on state-of-the-art research issues, applications, and achievements in the field of computational intelligence paradigms for CPS. Covering topics that include autonomous systems, access control, machine learning, and intrusion detection and prevention systems, this book is ideally designed for engineers, industry professionals, practitioners, scientists, managers, students, academicians, and researchers seeking current research on artificial intelligence and cyber-physical systems.

Author : Padmalaya Nayak,Niranjan Ray,P. Ravichandran
Publisher : CRC Press
Page : 279 pages
File Size : 40,8 Mb
Release : 2021-09-02
Category : Computers
ISBN : 9781000431643

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IoT Applications, Security Threats, and Countermeasures by Padmalaya Nayak,Niranjan Ray,P. Ravichandran Pdf

Addresses the complete wireless technologies like Radio Frequency (RF), Wi-Fi, SigFox, Zigbee, Light Communication like Li-FI, Infrared, Bluetooth, etc Covers Block-Chain related self-adaptive cyber-physical security systems Based on the latest technologies, and covering the major challenges like Machine Learning, Evolutionary Computing, Sensor Networks, Ad Hoc Networks, Security Issues, and Advances in IoT Discusses security and privacy issues through IoT ecosystem and its implications to the real world Includes data sharing, security, connectivity solutions in IoT applications Examines privacy issues and challenges related to Cloud Computing, Fog Computer, and Edge Computing technologies in IoT

Author : Rajdeep Chakraborty,Anupam Ghosh,Jyotsna Kumar Mandal,S. Balamurugan
Publisher : John Wiley & Sons
Page : 485 pages
File Size : 54,5 Mb
Release : 2022-11-08
Category : Computers
ISBN : 9781119857662

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Convergence of Deep Learning in Cyber-IoT Systems and Security by Rajdeep Chakraborty,Anupam Ghosh,Jyotsna Kumar Mandal,S. Balamurugan Pdf

CONVERGENCE OF DEEP LEARNING IN CYBER-IOT SYSTEMS AND SECURITY In-depth analysis of Deep Learning-based cyber-IoT systems and security which will be the industry leader for the next ten years. The main goal of this book is to bring to the fore unconventional cryptographic methods to provide cyber security, including cyber-physical system security and IoT security through deep learning techniques and analytics with the study of all these systems. This book provides innovative solutions and implementation of deep learning-based models in cyber-IoT systems, as well as the exposed security issues in these systems. The 20 chapters are organized into four parts. Part I gives the various approaches that have evolved from machine learning to deep learning. Part II presents many innovative solutions, algorithms, models, and implementations based on deep learning. Part III covers security and safety aspects with deep learning. Part IV details cyber-physical systems as well as a discussion on the security and threats in cyber-physical systems with probable solutions. Audience Researchers and industry engineers in computer science, information technology, electronics and communication, cybersecurity and cryptography.

Author : Lane Thames,Dirk Schaefer
Publisher : Springer
Page : 265 pages
File Size : 46,9 Mb
Release : 2017-04-03
Category : Computers
ISBN : 9783319506609

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Cybersecurity for Industry 4.0 by Lane Thames,Dirk Schaefer Pdf

This book introduces readers to cybersecurity and its impact on the realization of the Industry 4.0 vision. It covers the technological foundations of cybersecurity within the scope of the Industry 4.0 landscape and details the existing cybersecurity threats faced by Industry 4.0, as well as state-of-the-art solutions with regard to both academic research and practical implementations. Industry 4.0 and its associated technologies, such as the Industrial Internet of Things and cloud-based design and manufacturing systems are examined, along with their disruptive innovations. Further, the book analyzes how these phenomena capitalize on the economies of scale provided by the Internet. The book offers a valuable resource for practicing engineers and decision makers in industry, as well as researchers in the design and manufacturing communities and all those interested in Industry 4.0 and cybersecurity.

Author : Sanjay Misra,Amit Kumar Tyagi
Publisher : Springer Nature
Page : 467 pages
File Size : 48,8 Mb
Release : 2021-05-31
Category : Technology & Engineering
ISBN : 9783030722364

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Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities by Sanjay Misra,Amit Kumar Tyagi Pdf

This book provides stepwise discussion, exhaustive literature review, detailed analysis and discussion, rigorous experimentation results (using several analytics tools), and an application-oriented approach that can be demonstrated with respect to data analytics using artificial intelligence to make systems stronger (i.e., impossible to breach). We can see many serious cyber breaches on Government databases or public profiles at online social networking in the recent decade. Today artificial intelligence or machine learning is redefining every aspect of cyber security. From improving organizations’ ability to anticipate and thwart breaches, protecting the proliferating number of threat surfaces with Zero Trust Security frameworks to making passwords obsolete, AI and machine learning are essential to securing the perimeters of any business. The book is useful for researchers, academics, industry players, data engineers, data scientists, governmental organizations, and non-governmental organizations.