Industry 4.0

Advances in logistics, operations, and management science book series, Journal Year: 2024, Volume and Issue: unknown, P. 342 - 405

Published: Jan. 19, 2024

The advent of Industry 4.0, characterized by the integration digital technologies into industrial processes, has ushered in a transformative era for manufacturing and beyond. This chapter delves future trends research directions that will shape landscape 4.0 coming years. One prominent trend is continued proliferation internet things (IoT) its convergence with artificial intelligence (AI). As IoT devices become more interconnected intelligent, they enable real-time data analysis, predictive maintenance, adaptive manufacturing, fostering increased efficiency cost-effectiveness across industries. Moreover, rise edge computing set to redefine processing analytics. deployment powerful resources closer source promises reduced latency enhanced decision-making capabilities, particularly critical applications like autonomous remote robotics.

Language: Английский

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AI in Healthcare Safeguarding Patient Privacy and Confidentiality

Advances in information security, privacy, and ethics book series, Journal Year: 2025, Volume and Issue: unknown, P. 369 - 404

Published: Feb. 14, 2025

In the era of digitization, Artificial Intelligence (AI) integration in healthcare has become a necessity to ensure patient identification & privacy. With rise digitalisation health systems, it also increasingly important have more stringent data protection requirements. This transformation is heavily facilitated by AI-driven technologies that reinforce security, identify real-time threats and streamline compliance with regulations. By utilizing Machine Learning (ML) algorithms comb through big data, outliers can be pinpointed filtered out so unauthorized access prevented assistance advanced forms encryption which protect information while transit or at rest. But fast pace AI development creates as many opportunities challenges, especially when comes marrying availability These ethical concerns, for effective regulatory frameworks, are critical an evolving ecosystem technologies.

Language: Английский

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Progress and Obstacles in Cloud Computing for Healthcare

Advances in information security, privacy, and ethics book series, Journal Year: 2025, Volume and Issue: unknown, P. 347 - 368

Published: Feb. 14, 2025

Since the invention of Internet Things (IoT), people are seeing a new world in healthcare. The rapid growth IoT has brought with it solutions to dilemmas and few challenges cloud devices. But keeping mind benefits these devices, need be solved efficiency security. Putting place storage analysis for specific periods is very popular medicine. On other hand, creating big data, considering sensitivity, some limitations have accepted. use latency, throughput, bandwidth increases cost Internet. Numerous alternative paradigms, most notably edge computing fog computing, evolved solve shortcomings. Consequently, studies shown an increase hybrid based.

Language: Английский

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Blockchain in Cybersecurity Enhancing Data Integrity and Transaction Security

Advances in information security, privacy, and ethics book series, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 40

Published: Feb. 14, 2025

The technology is becoming a little more widely known with its data security and hyper-transaction reliability. By very design of decentralization implementation cryptographic principles to maintain integrity, blockchain eliminates central points failure making tampering unauthorized changes virtually impossible as well. This part the diary will discuss how giving our financial transactions, providing safety identities agreements seamless smart contracts. From healthcare supply chain management, it amazing witness many industries are beginning incorporate decree validity information, prevent fraud. But you know what they say — new tech has ways break. ride been accompanied by scalability challenges, energy consumption worries, regulation problems so on. There also some promising prospects, quantum-resistant algorithms enhanced interoperability may resolve these widen blockchain's influence.

Language: Английский

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Cybersecurity in IoT Ecosystems Managing Device Vulnerabilities and Data Exposure

Advances in information security, privacy, and ethics book series, Journal Year: 2025, Volume and Issue: unknown, P. 63 - 98

Published: Feb. 14, 2025

The proliferation of IoT devices and sensors leads to greater efficiency but also greatly increased attack surfaces. In this part the series, we delve into some key security issues that plague ecosystems with a solution- understanding device vulnerabilities how they led data exposure. are frequently built without strong defences in place, lack secure firmware combined weak authentication making them top list for attackers. We will turn real-world threats, such as distributed denial service (DDoS) attacks launched by botnets breaches disclose personal information or sensitive business information. Although chapter certainly warns risks, it is no means doom-and-gloom line reasoning. paper outlines best practices systems, from security-by-design principles leveraging AI blockchain technologies.

Language: Английский

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Current Security Issues and Vulnerabilities Associated With Mobile Application

Advances in information security, privacy, and ethics book series, Journal Year: 2025, Volume and Issue: unknown, P. 41 - 62

Published: Feb. 14, 2025

Mobile applications have become a crucial part of modern life, facilitating everything from social interactions to financial transactions. However, this ubiquity also presents significant security challenge. The landscape mobile app is fraught with vulnerabilities and threats that can compromise user data, privacy, the overall integrity applications. This paper delves into issues affect It provides an in-depth analysis various attack methods used by cybercriminals extract data explores how users protect their information being compromised. discussion will cover common tactics employed attackers, potential consequences losing application these threats, critical measures necessary for safeguarding against such attacks.

Language: Английский

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Swarm Intelligence and Multi-Drone Coordination With Edge AI

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 271 - 304

Published: March 28, 2025

Swarm intelligence is transforming drone tech to enable autonomous air systems collaborate and adapt readily real-world conditions. By flying in coordination, drones can perform sophisticated tasks that would be difficult or impossible for a single unit accomplish. Whether search rescue large-scale agricultural surveillance, coordinated improve speed, coverage, decision-making. Edge AI significant it allows process information real time, cutting down on reliance remote cloud servers. This enables swarms react quickly changing environments, such as navigating through disaster scenes tracking moving objects. Unlike using central controller all commands, communicate with each other collectively decide, birds flock ants colony. coordination supplemented advanced technologies like 5G connectivity sensor fusion the smooth sharing of data among drones.

Language: Английский

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Fundamentals of Drone Navigation and the Role of Computer Vision

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 129 - 166

Published: March 28, 2025

Drone navigation is based on precise for efficient and secure performance delivery, surveillance, or rescue. Traditional GPS, inertial measurement units, magnetometers provides good guidance but inefficient in conditions with weakened signals unpredictable obstacles. Computer vision changing this. By equipping drones to perceive understand visual information about their surrounding space, it makes decision-making independent, allows better past obstacles, builds real-time maps. Object detection, optical flow, SLAM are some techniques being applied aerial robotics today. Vision complemented enhanced when combined other sensors like LiDAR making feasible complex terrains. However, processing high volumes of data remains a challenge. Advances edge computing AI-driven perception helping overcome these limitations, bringing faster more onboard processing.

Language: Английский

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Sustainability Metrics and Measurement in Industry 4.0-Enabled SCM

Advances in logistics, operations, and management science book series, Journal Year: 2024, Volume and Issue: unknown, P. 176 - 233

Published: Jan. 19, 2024

The rapid advancement of Industry 4.0 technologies has ushered in a new era supply chain management (SCM) that places sustainability at its core. This chapter goes deep into the critical intersection metrics and measurement 4.0-enabled SCM, exploring dynamic landscape where cutting-edge technology meets environmental, social, economic responsibility. Beginning with an introduction to 4.0's transformative role authors elucidate importance this context. research's scope objectives are outlined, emphasizing need decipher intricacies ecosystem. provide comprehensive elucidation key concepts, definitions, unique contributions research endeavour. A central focus is alignment SCM United Nations' Sustainable Development Goals (SDGs), illuminating how emerging can act as catalysts for achieving these global objectives.

Language: Английский

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