The Ai Revolution In Networking Cybersecurity And Emerging Technologies
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The Ai Revolution In Networking Cybersecurity And Emerging Technologies
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Author : Omar Santos
language : en
Publisher: Addison-Wesley Professional
Release Date : 2024-03-04
The Ai Revolution In Networking Cybersecurity And Emerging Technologies written by Omar Santos and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-04 with Computers categories.
The AI Revolution is Here. Discover its Dynamic Applications in Networking, Cybersecurity, and More. AI is having a profound impact on nearly every sector of the workforce. Huge professional and financial opportunities await in the key domains of computer networking, cybersecurity, IoT, and cloud computing. The AI Revolution in Networking, Cybersecurity, and Emerging Technologies will give you the edge you need to harness AI for your benefit. Learn how AI can efficiently identify shadow data, fortify security measures, generate predictive analytics in real time, and so much more. In this comprehensive guide, Cisco professionals Omar Santos, Samer Salam, and Hazim Dahir engage you in both AI application and theory through practical case studies and predictions of future trends, which makes this book not just a valuable guide for today, but an indispensable resource for tomorrow. You'll discover how AI is building robust bridges in collaboration tools and turning IoT into a super-intelligent network of devices so you can quickly identify and resolve network security threats while enhancing network performance. This book will show you how AI can help you modernize and fortify your operations and make yourself a key asset to your company. Are you ready to join The AI Revolution in Networking, Cybersecurity, and Emerging Technologies? Gain industry-specific knowledge from experienced professionals Discover new capabilities like self-healing networks and predictive analytics Learn how AI can save time by detecting and correcting issues in real time Master techniques for security monitoring and alerting Understand potential security and privacy pitfalls of using AI, and how to guard against them Understand how AI works for you and with you Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Cybersecurity Issues In Emerging Technologies
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Author : Leandros Maglaras
language : en
Publisher: CRC Press
Release Date : 2021-10-14
Cybersecurity Issues In Emerging Technologies written by Leandros Maglaras and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-14 with Computers categories.
The threat landscape is evolving with tremendous speed. We are facing an extremely fast-growing attack surface with a diversity of attack vectors, a clear asymmetry between attackers and defenders, billions of connected IoT devices, mostly reactive detection and mitigation approaches, and finally big data challenges. The clear asymmetry of attacks and the enormous amount of data are additional arguments to make it necessary to rethink cybersecurity approaches in terms of reducing the attack surface, to make the attack surface dynamic, to automate the detection, risk assessment, and mitigation, and to investigate the prediction and prevention of attacks with the utilization of emerging technologies like blockchain, artificial intelligence and machine learning. This book contains eleven chapters dealing with different Cybersecurity Issues in Emerging Technologies. The issues that are discussed and analyzed include smart connected cars, unmanned ships, 5G/6G connectivity, blockchain, agile incident response, hardware assisted security, ransomware attacks, hybrid threats and cyber skills gap. Both theoretical analysis and experimental evaluation of state-of-the-art techniques are presented and discussed. Prospective readers can be benefitted in understanding the future implications of novel technologies and proposed security solutions and techniques. Graduate and postgraduate students, research scholars, academics, cybersecurity professionals, and business leaders will find this book useful, which is planned to enlighten both beginners and experienced readers.
Ai Enabled Cybersecurity And Privacy For Next Generation Communications Management
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Author : Yassine Maleh
language : en
Publisher: Wiley-IEEE Press
Release Date : 2023-05-09
Ai Enabled Cybersecurity And Privacy For Next Generation Communications Management written by Yassine Maleh and has been published by Wiley-IEEE Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-09 with Computers categories.
This book proposes a comprehensive approach to innovative computing based on artificial intelligence techniques and algorithms for designing and deploying computational mechanics precepts. This takes the form of protocols and algorithmic frameworks to improve the security, efficiency, and utility of emerging technologies. In each case, progress is highlighted, and open questions are listed. In addition, the book presents an advanced-level overview of developments in some promising information and communication technologies, including modern and future networks (including 5G and 6G), communication environments (including Internet of Things and Fog Computing) and its applications. The authors also discuss the impact of artificial intelligence on the management of emerging technologies such as big data analysis and blockchain on improvements and its various applications in cybersecurity.
Artificial Intelligence And Security Challenges In Emerging Networks
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Author : Abassi, Ryma
language : en
Publisher: IGI Global
Release Date : 2019-01-25
Artificial Intelligence And Security Challenges In Emerging Networks written by Abassi, Ryma and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-25 with Computers categories.
The recent rise of emerging networking technologies such as social networks, content centric networks, Internet of Things networks, etc, have attracted significant attention from academia as well as industry professionals looking to utilize these technologies for efficiency purposes. However, the allure of such networks and resultant storage of high volumes of data leads to increased security risks, including threats to information privacy. Artificial Intelligence and Security Challenges in Emerging Networks is an essential reference source that discusses applications of artificial intelligence, machine learning, and data mining, as well as other tools and strategies to protect networks against security threats and solve security and privacy problems. Featuring research on topics such as encryption, neural networks, and system verification, this book is ideally designed for ITC procurement managers, IT consultants, systems and network integrators, infrastructure service providers, computer and software engineers, startup companies, academicians, researchers, managers, and students.
Artificial Intelligence And Security Challenges In Emerging Networks
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Author : Ryma Abassi
language : en
Publisher:
Release Date : 2019
Artificial Intelligence And Security Challenges In Emerging Networks written by Ryma Abassi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with COMPUTERS categories.
"This book explores the recent rise of emerging networking technologies such as social networks, content centric networks, IoT networks, etc. It also examines the applications of artificial intelligence (AI), machine learning, and data mining to security and privacy problems"--
Blockchain And Other Emerging Technologies For Digital Business Strategies
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Author : Hamid Jahankhani
language : en
Publisher: Springer Nature
Release Date : 2022-05-03
Blockchain And Other Emerging Technologies For Digital Business Strategies written by Hamid Jahankhani and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-03 with Business & Economics categories.
This book aims to explore the aspects of strategic leadership in a digital context together with the cyber-physical relationships whilst performing business activities. Furthermore, this book looks to investigate the interactions from both the organization strategy including the cross-functional actors/stakeholders whom are operating within the organization and the various characteristics of operating in a cyber secure ecosystem. The book provides a valuable reference for IT directors, strategic leaders, cybersecurity experts, network security professionals. It is also aimed at researchers seeking to obtain a more profound knowledge of machine learning and deep learning in the context of cybersecurity. Furthermore, the book is an exceptional advanced text for Ph.D. and master’s degree programs in cybersecurity, network security and computer science. Each chapter is written by an internationally renowned expert who has extensive experience in law enforcement, industry or academia. Furthermore, this book blends advanced research findings with practice-based methods to provide the reader with advanced understanding and relevant skills.
Topics In Artificial Intelligence Applied To Industry 4 0
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Author : Mahmoud Ragab AL-Refaey
language : en
Publisher: John Wiley & Sons
Release Date : 2024-03-28
Topics In Artificial Intelligence Applied To Industry 4 0 written by Mahmoud Ragab AL-Refaey and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-28 with Computers categories.
Topics in Artificial Intelligence Applied to Industry 4.0 Forward thinking resource discussing emerging AI and IoT technologies and how they are applied to Industry 4.0 Topics in Artificial Intelligence Applied to Industry 4.0 discusses the design principles, technologies, and applications of emerging AI and IoT solutions on Industry 4.0, explaining how to make improvements in infrastructure through emerging technologies. Providing a clear connection with different technologies such as IoT, Big Data, AR and VR, and Blockchain, this book presents security, privacy, trust, and other issues whilst delving into real-world problems and case studies. The text takes a highly practical approach, with a clear insight on how readers can increase productivity by drastically shortening the time period between the development of a new product and its delivery to customers in the market by 50%. This book also discusses how to save energy across systems to ensure competitiveness in a global market, and become more responsive in how they produce products and services for their consumers, such as by investing in flexible production lines. Written by highly qualified authors, Topics in Artificial Intelligence Applied to Industry 4.0 explores sample topics such as: Quantum machine learning, neural network implementation, and cloud and data analytics for effective analysis of industrial data Computer vision, emerging networking technologies, industrial data spaces, and an industry vision for 2030 in both developing and developed nations Novel or improved nature-inspired optimization algorithms in enhancing Industry 5.0 and the connectivity of any components for smart environment Future professions in agriculture, medicine, education, fitness, R&D, and transport and communication as a result of new technologies Aimed at researchers and students in the interdisciplinary fields of Smart Manufacturing and Smart Applications, Topics in Artificial Intelligence Applied to Industry 4.0 provides the perfect overview of technology from the perspective of modern society and operational environment.
Artificial Intelligence In Cyber Security Impact And Implications
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Author : Reza Montasari
language : en
Publisher: Springer Nature
Release Date : 2021-11-26
Artificial Intelligence In Cyber Security Impact And Implications written by Reza Montasari and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-26 with Computers categories.
The book provides a valuable reference for cyber security experts, digital forensic practitioners and network security professionals. In recent years, AI has gained substantial attention from researchers in both academia and industry, and as a result AI’s capabilities are constantly increasing at an extraordinary pace. AI is considered to be the Fourth Industrial Revolution or at least the next significant technological change after the evolution in mobile and cloud computing technologies. AI is a vehicle for improving the quality of our lives across every spectrum with a broad range of beneficial applications in various sectors. Notwithstanding its numerous beneficial use, AI simultaneously poses numerous legal, ethical, security and privacy challenges that are compounded by its malicious use by criminals. These challenges pose many risks to both our privacy and security at national, organisational and individual levels. In view of this, this book aims to help address some of these challenges focusing on the implication, impact and mitigations of the stated issues. The book provides a comprehensive coverage of not only the technical and ethical issues presented by the use of AI but also the adversarial application of AI and its associated implications. The authors recommend a number of novel approaches to assist in better detecting, thwarting and addressing AI challenges. The book also looks ahead and forecasts what attacks can be carried out in the future through the malicious use of the AI if sufficient defences are not implemented. The research contained in the book fits well into the larger body of work on various aspects of AI and cyber security. It is also aimed at researchers seeking to obtain a more profound knowledge of machine learning and deep learning in the context of cyber security, digital forensics and cybercrime. Furthermore, the book is an exceptional advanced text for Ph.D. and master’s degree programmes in cyber security, digital forensics, network security, cyber terrorism and computer science. Each chapter contributed to the book is written by an internationally renowned expert who has extensive experience in law enforcement, industry or academia. Furthermore, this book blends advanced research findings with practice-based methods to provide the reader with advanced understanding and relevant skills.
Strategy Leadership And Ai In The Cyber Ecosystem
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Author : Hamid Jahankhani
language : en
Publisher: Academic Press
Release Date : 2020-11-10
Strategy Leadership And Ai In The Cyber Ecosystem written by Hamid Jahankhani and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-10 with Computers categories.
Strategy, Leadership and AI in the Cyber Ecosystem investigates the restructuring of the way cybersecurity and business leaders engage with the emerging digital revolution towards the development of strategic management, with the aid of AI, and in the context of growing cyber-physical interactions (human/machine co-working relationships). The book explores all aspects of strategic leadership within a digital context. It investigates the interactions from both the firm/organization strategy perspective, including cross-functional actors/stakeholders who are operating within the organization and the various characteristics of operating in a cyber-secure ecosystem. As consumption and reliance by business on the use of vast amounts of data in operations increase, demand for more data governance to minimize the issues of bias, trust, privacy and security may be necessary. The role of management is changing dramatically, with the challenges of Industry 4.0 and the digital revolution. With this intelligence explosion, the influence of artificial intelligence technology and the key themes of machine learning, big data, and digital twin are evolving and creating the need for cyber-physical management professionals. Discusses the foundations of digital societies in information governance and decision-making Explores the role of digital business strategies to deal with big data management, governance and digital footprints Considers advances and challenges in ethical management with data privacy and transparency Investigates the cyber-physical project management professional [Digital Twin] and the role of Holographic technology in corporate decision-making
Ai Revolution
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Author : Daniel Zane Bryan
language : en
Publisher: Independently Published
Release Date : 2024-04-08
Ai Revolution written by Daniel Zane Bryan and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-08 with Computers categories.
Artificial Intelligence is the wave of the future. Whether getting recommendations for a video or having your food delivered by a robot at a restaurant, AI has entered every area of our lives in some way. This book explores what AI is, how it transforms our lives daily, and how to use it to solve problems in many types of businesses. Customer Interaction AI has transformed how businesses interact with customers by offering personalized recommendations, intelligent chatbots, and sophisticated customer behavior analysis. By leveraging AI technologies, organizations can deliver tailored experiences, improve customer satisfaction, and gain valuable insights into consumer preferences and behaviors. For instance, AI-driven sentiment analysis tools can help businesses gauge public opinion and perception of their products or services, allowing them to fine-tune their marketing strategies and brand messaging. In the telecommunications industry, AI-powered customer behavior analysis can identify patterns in usage data, enabling providers to offer personalized service plans and promotions that align with individual usage patterns and preferences. Improving Decision Making AI empowers businesses to make data-driven decisions by providing valuable insights, risk management capabilities, and accurate market forecasting. By leveraging AI technologies, organizations can enhance their strategic planning, mitigate risks, and capitalize on emerging opportunities in a dynamic business environment. Data-Driven Insights AI-driven analytics and business intelligence tools enable organizations to extract actionable insights from vast volumes of data, empowering decision-makers to understand trends, identify correlations, and make informed strategic choices. By leveraging AI algorithms, businesses can uncover hidden patterns and relationships within their data, leading to more effective decision-making. For example, in marketing, AI-powered analytics can provide detailed insights into customer segmentation, campaign performance, and attribution modeling, enabling marketers to optimize their strategies and allocate resources more effectively. In finance, AI-driven data analytics can identify potential investment opportunities, assess market risks, and optimize portfolio management strategies. Risk Management AI plays a crucial role in risk management by enabling businesses to identify, assess, and mitigate potential risks across various operational domains. By applying AI-driven predictive modeling and scenario analysis, organizations can proactively manage risks related to financial volatility, supply chain disruptions, cybersecurity threats, and regulatory compliance. For instance, AI-powered risk assessment models in the insurance sector can evaluate policyholder data, claims history, and external risk factors to calculate precise underwriting and pricing strategies. Similarly, AI-driven threat detection and response systems in cybersecurity can analyze network traffic patterns, identify anomalous behavior, and thwart potential security breaches in real time. Market Forecasting AI facilitates accurate and timely market forecasting by analyzing historical data, economic indicators, and consumer trends to predict future market dynamics and opportunities. By leveraging machine learning algorithms and predictive modeling, businesses can anticipate shifts in demand, competitive landscapes, and industry trends, enabling them to adapt their strategies and capitalize on emerging market conditions. This book explores the above areas and much more. Whether you are curious about AI or want to learn how to use it in your business, it provides valuable information and insight.
