Cyber Trafficking, Threat Behavior, and Malicious Activity Monitoring for Healthcare Organizations
Cyber Trafficking, Threat Behavior, and Malicious Activity Monitoring for Healthcare Organizations

Author: Dobhal, Dinesh C.

Publisher: IGI Global

Published: 2023-08-07

Total Pages: 228

ISBN-13: 1668466473

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In comparison to Industry 4.0, Industry 5.0 is seen as the next industrial revolution, with the goal of leveraging the creativity of human experts in combination with efficient, intelligent, and accurate machines to provide resource-efficient and user-preferred solutions. With the improvements in social networks, cloud, and the internet of things (IoT)-based technologies, the requirement for a strong cyber security system, particularly in the healthcare sector, is increasing. Cyber Trafficking, Threat Behavior, and Malicious Activity Monitoring for Healthcare Organizations provides a comprehensive review of techniques and applications of Industry 5.0-enabled intelligent healthcare-centric cyber security. The goal of this book is to close the gap between AI and cyber security. Covering topics such as malicious activity, the dark web, and smart healthcare systems, this premier reference source is an essential resource for healthcare administrators, IT managers, system developers, system architects, IT specialists, students and educators of higher education, librarians, researchers, and academicians.

Intelligent Edge Computing for Cyber Physical Applications
Intelligent Edge Computing for Cyber Physical Applications

Author: D. Jude Hemanth

Publisher: Elsevier

Published: 2023-02-03

Total Pages: 254

ISBN-13: 0323994334

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Intelligent Edge Computing for Cyber Physical Applications introduces state-of-the-art research methodologies, tools and techniques, challenges, and solutions with further research opportunities in the area of edge-based cyber-physical systems. The book presents a comprehensive review of recent literature and analysis of different techniques for building edge-based CPS. In addition, it describes how edge-based CPS can be built to seamlessly interact with physical machines for optimal performance, covering various aspects of edge computing architectures for dynamic resource provisioning, mobile edge computing, energy saving scenarios, and different security issues. Sections feature practical use cases of edge-computing which will help readers understand the workings of edge-based systems in detail, taking into account the need to present intellectual challenges while appealing to a broad readership, including academic researchers, practicing engineers and managers, and graduate students. - Introduces and provides reviews on cyber physical and edge computing systems, with different architectures and models needed to address sustainable solutions to social, environmental and economic applications - Presents the different architectures of edge computing for building cyber physical systems with dynamic resource provisioning and security solutions - Provides AI based perspectives to edge-based cyber physical systems with different algorithms and AI based security solutions - Covers different case studies and applications in detail, with real-life examples and possible challenges that can be encountered - Offers perspectives for the design, development and commissioning of intelligent edge-based cyber physical systems

Mobile Agents
Mobile Agents

Author: Peter Braun

Publisher: Morgan Kaufmann

Published: 2005

Total Pages: 466

ISBN-13: 1558608176

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Af indhold: Part 1, Motivation for and Introduction to Mobile Agents. Part 2, Mobile Agents - Concepts, Functions, and possible Problems. Part 3, The Kalong Mobility Model - Specification and Implementation. Part 4, The Tracy Mobile Agent Toolkit

Security and Privacy in the Internet of Things
Security and Privacy in the Internet of Things

Author: Ali Ismail Awad

Publisher: John Wiley & Sons

Published: 2021-12-29

Total Pages: 340

ISBN-13: 1119607744

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SECURITY AND PRIVACY IN THE INTERNET OF THINGS Provides the authoritative and up-to-date information required for securing IoT architecture and applications The vast amount of data generated by the Internet of Things (IoT) has made information and cyber security vital for not only personal privacy, but also for the sustainability of the IoT itself. Security and Privacy in the Internet of Things brings together high-quality research on IoT security models, architectures, techniques, and application domains. This concise yet comprehensive volume explores state-of-the-art mitigations in IoT security while addressing important security and privacy challenges across different IoT layers. The book provides timely coverage of IoT architecture, security technologies and mechanisms, and applications. The authors outline emerging trends in IoT security and privacy with a focus on areas such as smart environments and e-health. Topics include authentication and access control, attack detection and prevention, securing IoT through traffic modeling, human aspects in IoT security, and IoT hardware security. Presenting the current body of knowledge in a single volume, Security and Privacy in the Internet of Things: Discusses a broad range of IoT attacks and defense mechanisms Examines IoT security and privacy protocols and approaches Covers both the logical and physical security of IoT devices Addresses IoT security through network traffic modeling Describes privacy preserving techniques in smart cities Explores current threat and vulnerability analyses Security and Privacy in the Internet of Things: Architectures, Techniques, and Applications is essential reading for researchers, industry practitioners, and students involved in IoT security development and IoT systems deployment.

Malware Detection
Malware Detection

Author: Mihai Christodorescu

Publisher: Springer Science & Business Media

Published: 2007-03-06

Total Pages: 307

ISBN-13: 0387445994

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This book captures the state of the art research in the area of malicious code detection, prevention and mitigation. It contains cutting-edge behavior-based techniques to analyze and detect obfuscated malware. The book analyzes current trends in malware activity online, including botnets and malicious code for profit, and it proposes effective models for detection and prevention of attacks using. Furthermore, the book introduces novel techniques for creating services that protect their own integrity and safety, plus the data they manage.

Plug In Electric Vehicles in Smart Grids
Plug In Electric Vehicles in Smart Grids

Author: Sumedha Rajakaruna

Publisher: Springer

Published: 2014-11-29

Total Pages: 355

ISBN-13: 981287299X

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This book focuses on the state of the art in worldwide research on applying optimization approaches to intelligently control charging and discharging of batteries of Plug-in Electric Vehicles (PEVs) in smart grids. Network constraints, cost considerations, the number and penetration level of PEVs, utilization of PEVs by their owners, ancillary services, load forecasting, risk analysis, etc. are all different criteria considered by the researchers in developing mathematical based equations which represent the presence of PEVs in electric networks. Different objective functions can be defined and different optimization methods can be utilized to coordinate the performance of PEVs in smart grids. This book will be an excellent resource for anyone interested in grasping the current state of applying different optimization techniques and approaches that can manage the presence of PEVs in smart grids.

Internet of Medical Things
Internet of Medical Things

Author: D. Jude Hemanth

Publisher: Springer Nature

Published: 2021-04-13

Total Pages: 265

ISBN-13: 3030639371

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This book looks at the growing segment of Internet of Things technology (IoT) known as Internet of Medical Things (IoMT), an automated system that aids in bridging the gap between isolated and rural communities and the critical healthcare services that are available in more populated and urban areas. Many technological aspects of IoMT are still being researched and developed, with the objective of minimizing the cost and improving the performance of the overall healthcare system. This book focuses on innovative IoMT methods and solutions being developed for use in the application of healthcare services, including post-surgery care, virtual home assistance, smart real-time patient monitoring, implantable sensors and cameras, and diagnosis and treatment planning. It also examines critical issues around the technology, such as security vulnerabilities, IoMT machine learning approaches, and medical data compression for lossless data transmission and archiving. Internet of Medical Things is a valuable reference for researchers, students, and postgraduates working in biomedical, electronics, and communications engineering, as well as practicing healthcare professionals.

Machine Intelligence and Signal Analysis
Machine Intelligence and Signal Analysis

Author: M. Tanveer

Publisher: Springer

Published: 2018-08-07

Total Pages: 757

ISBN-13: 981130923X

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The book covers the most recent developments in machine learning, signal analysis, and their applications. It covers the topics of machine intelligence such as: deep learning, soft computing approaches, support vector machines (SVMs), least square SVMs (LSSVMs) and their variants; and covers the topics of signal analysis such as: biomedical signals including electroencephalogram (EEG), magnetoencephalography (MEG), electrocardiogram (ECG) and electromyogram (EMG) as well as other signals such as speech signals, communication signals, vibration signals, image, and video. Further, it analyzes normal and abnormal categories of real-world signals, for example normal and epileptic EEG signals using numerous classification techniques. The book is envisioned for researchers and graduate students in Computer Science and Engineering, Electrical Engineering, Applied Mathematics, and Biomedical Signal Processing.

Deep Learning for Internet of Things Infrastructure
Deep Learning for Internet of Things Infrastructure

Author: Uttam Ghosh

Publisher: CRC Press

Published: 2021-09-30

Total Pages: 267

ISBN-13: 1000431894

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This book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of deep learning (DL)–based data analytics of IoT (Internet of Things) infrastructures. Deep Learning for Internet of Things Infrastructure addresses emerging trends and issues on IoT systems and services across various application domains. The book investigates the challenges posed by the implementation of deep learning on IoT networking models and services. It provides fundamental theory, model, and methodology in interpreting, aggregating, processing, and analyzing data for intelligent DL-enabled IoT. The book also explores new functions and technologies to provide adaptive services and intelligent applications for different end users. FEATURES Promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of DL-based data analytics of IoT infrastructures Addresses emerging trends and issues on IoT systems and services across various application domains Investigates the challenges posed by the implementation of deep learning on IoT networking models and services Provides fundamental theory, model, and methodology in interpreting, aggregating, processing, and analyzing data for intelligent DL-enabled IoT Explores new functions and technologies to provide adaptive services and intelligent applications for different end users Uttam Ghosh is an Assistant Professor in the Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, Tennessee, USA. Mamoun Alazab is an Associate Professor in the College of Engineering, IT and Environment at Charles Darwin University, Australia. Ali Kashif Bashir is a Senior Lecturer/Associate Professor and Program Leader of BSc (H) Computer Forensics and Security at the Department of Computing and Mathematics, Manchester Metropolitan University, United Kingdom. Al-Sakib Khan Pathan is an Adjunct Professor of Computer Science and Engineering at the Independent University, Bangladesh.

Internet of Things Based on Smart Objects
Internet of Things Based on Smart Objects

Author: Giancarlo Fortino

Publisher: Springer Science & Business Media

Published: 2014-04-04

Total Pages: 203

ISBN-13: 3319004913

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The Internet of Things (IoT) usually refers to a world-wide network of interconnected heterogeneous objects (sensors, actuators, smart devices, smart objects, RFID, embedded computers, etc) uniquely addressable, based on standard communication protocols. Beyond such a definition, it is emerging a new definition of IoT seen as a loosely coupled, decentralized system of cooperating smart objects (SOs). A SO is an autonomous, physical digital object augmented with sensing/actuating, processing, storing, and networking capabilities. SOs are able to sense/actuate, store, and interpret information created within themselves and around the neighbouring external world where they are situated, act on their own, cooperate with each other, and exchange information with other kinds of electronic devices and human users. However, such SO-oriented IoT raises many in-the-small and in-the-large issues involving SO programming, IoT system architecture/middleware and methods/methodologies for the development of SO-based applications. This Book will specifically focus on exploring recent advances in architectures, algorithms, and applications for an Internet of Things based on Smart Objects. Topics appropriate for this Book include, but are not necessarily limited to: - Methods for SO development - IoT Networking - Middleware for SOs - Data Management for SOs - Service-oriented SOs - Agent-oriented SOs - Applications of SOs in Smart Environments: Smart Cities, Smart Health, Smart Buildings, etc. Advanced IoT Projects.