Multidisciplinary Approach to Modern Digital Steganography

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Author :
Publisher : IGI Global
ISBN 13 : 1799871622
Total Pages : 380 pages
Book Rating : 4.20/5 ( download)

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Book Synopsis Multidisciplinary Approach to Modern Digital Steganography by : Pramanik, Sabyasachi

Download or read book Multidisciplinary Approach to Modern Digital Steganography written by Pramanik, Sabyasachi and published by IGI Global. This book was released on 2021-06-04 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: Steganography is the art of secret writing. The purpose of steganography is to hide the presence of a message from the intruder by using state-of-the-art methods, algorithms, architectures, models, and methodologies in the domains of cloud, internet of things (IoT), and the Android platform. Though security controls in cloud computing, IoT, and Android platforms are not much different than security controls in an IT environment, they might still present different types of risks to an organization than the classic IT solutions. Therefore, a detailed discussion is needed in case there is a breach in security. It is important to review the security aspects of cloud, IoT, and Android platforms related to steganography to determine how this new technology is being utilized and improved continuously to protect information digitally. The benefits and challenges, along with the current and potential developments for the future, are important keystones in this critical area of security research. Multidisciplinary Approach to Modern Digital Steganography reviews the security aspects of cloud, IoT, and Android platforms related to steganography and addresses emerging security concerns, new algorithms, and case studies in the field. Furthermore, the book presents a new approach to secure data storage on cloud infrastructure and IoT along with including discussions on optimization models and security controls that could be implemented. Other important topics include data transmission, deep learning techniques, machine learning, and both image and text stenography. This book is essential for forensic engineers, forensic analysts, cybersecurity analysts, cyber forensic examiners, security engineers, cybersecurity network analysts, cyber network defense analysts, and digital forensic examiners along with practitioners, researchers, academicians, and students interested in the latest techniques and state-of-the-art methods in digital steganography.

An Interdisciplinary Approach to Modern Network Security

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Author :
Publisher : CRC Press
ISBN 13 : 1000580598
Total Pages : 217 pages
Book Rating : 4.94/5 ( download)

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Book Synopsis An Interdisciplinary Approach to Modern Network Security by : Sabyasachi Pramanik

Download or read book An Interdisciplinary Approach to Modern Network Security written by Sabyasachi Pramanik and published by CRC Press. This book was released on 2022-05-02 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Interdisciplinary Approach to Modern Network Security presents the latest methodologies and trends in detecting and preventing network threats. Investigating the potential of current and emerging security technologies, this publication is an all-inclusive reference source for academicians, researchers, students, professionals, practitioners, network analysts and technology specialists interested in the simulation and application of computer network protection. It presents theoretical frameworks and the latest research findings in network security technologies, while analyzing malicious threats which can compromise network integrity. It discusses the security and optimization of computer networks for use in a variety of disciplines and fields. Touching on such matters as mobile and VPN security, IP spoofing and intrusion detection, this edited collection emboldens the efforts of researchers, academics and network administrators working in both the public and private sectors. This edited compilation includes chapters covering topics such as attacks and countermeasures, mobile wireless networking, intrusion detection systems, next-generation firewalls, web security and much more. Information and communication systems are an essential component of our society, forcing us to become dependent on these infrastructures. At the same time, these systems are undergoing a convergence and interconnection process that has its benefits, but also raises specific threats to user interests. Citizens and organizations must feel safe when using cyberspace facilities in order to benefit from its advantages. This book is interdisciplinary in the sense that it covers a wide range of topics like network security threats, attacks, tools and procedures to mitigate the effects of malware and common network attacks, network security architecture and deep learning methods of intrusion detection.

Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities

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Author :
Publisher : IGI Global
ISBN 13 : 1668464101
Total Pages : 499 pages
Book Rating : 4.06/5 ( download)

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Book Synopsis Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities by : Pramanik, Sabyasachi

Download or read book Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities written by Pramanik, Sabyasachi and published by IGI Global. This book was released on 2023-02-17 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: A smart city utilizes ICT technologies to improve the working effectiveness, share various data with the citizens, and enhance political assistance and societal wellbeing. The fundamental needs of a smart and sustainable city are utilizing smart technology for enhancing municipal activities, expanding monetary development, and improving citizens’ standards of living. The Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities discusses new mathematical models in smart and sustainable cities using big data, visualization tools in mathematical modeling, machine learning-based mathematical modeling, and more. It further delves into privacy and ethics in data analysis. Covering topics such as deep learning, optimization-based data science, and smart city automation, this premier reference source is an excellent resource for mathematicians, statisticians, computer scientists, civil engineers, government officials, students and educators of higher education, librarians, researchers, and academicians.

AI and Machine Learning Impacts in Intelligent Supply Chain

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Author :
Publisher : IGI Global
ISBN 13 :
Total Pages : 335 pages
Book Rating : 4.80/5 ( download)

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Book Synopsis AI and Machine Learning Impacts in Intelligent Supply Chain by : Pandey, Binay Kumar

Download or read book AI and Machine Learning Impacts in Intelligent Supply Chain written by Pandey, Binay Kumar and published by IGI Global. This book was released on 2024-01-29 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Businesses are facing an unprecedented challenge - the urgent need to adapt and thrive in a world where intelligent factories and supply chains are the new norm. The digital transformation of supply chains is essential for staying competitive, but it is a complex journey fraught with uncertainties. How can organizations harness the power of emerging technologies like Artificial Intelligence (AI) and Machine Learning (ML) to increase profitability, cut supply chain costs, elevate customer service, and optimize their networks? The answers to these questions are crucial for business survival and success. AI and Machine Learning Impacts in Intelligent Supply Chain is a groundbreaking book that offers a comprehensive solution to the challenges posed by the Industry 4.0 revolution. This book is your indispensable guide to navigating the intricate world of supply chain digital transformation using innovative technologies. It provides real-world examples and insights that illustrate how AI and ML are the keys to solving complex supply chain problems, from inventory management to route optimization and beyond. Whether you are an academic scholar seeking to delve into the impact of AI and ML on supply chain management or a business leader striving to gain a competitive edge, this book is tailored to meet your needs.

Utilization of AI Technology in Supply Chain Management

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Author :
Publisher : IGI Global
ISBN 13 :
Total Pages : 358 pages
Book Rating : 4.49/5 ( download)

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Book Synopsis Utilization of AI Technology in Supply Chain Management by : Pandey, Digvijay

Download or read book Utilization of AI Technology in Supply Chain Management written by Pandey, Digvijay and published by IGI Global. This book was released on 2024-03-01 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: The surge in digital transformation and the integration of innovative technologies into manufacturing processes have given rise to a pressing issue in supply chain management. Businesses are in dire need of solutions to navigate this complexity and harness the true potential of intelligent supply chains. Utilization of AI Technology in Supply Chain Management is a comprehensive guide tailored for academic scholars seeking to unravel the mysteries of artificial intelligence (AI) and machine learning (ML) in the context of supply chain management. Amid the hype surrounding AI and ML, there exists a critical need to bridge the gap between human expertise and technological advancements. Utilization of AI Technology in Supply Chain Management addresses this necessity by delving into real-world instances where teams have successfully employed these innovative technologies to enhance supply chain performance, reduce inventory, and optimize routes. The adoption of AI and ML is not just a trend; it is the cornerstone of digital acceleration initiatives, making it imperative for scholars to understand and leverage these technologies effectively.

Applications of Neuromarketing in the Metaverse

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Publisher : IGI Global
ISBN 13 : 1668481529
Total Pages : 365 pages
Book Rating : 4.23/5 ( download)

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Book Synopsis Applications of Neuromarketing in the Metaverse by : Gupta, Monika

Download or read book Applications of Neuromarketing in the Metaverse written by Gupta, Monika and published by IGI Global. This book was released on 2023-05-22 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: The metaverse is opening new avenues of opportunities for product manufacturers as well as service providers; due to this, further study on the scope and challenges that the application of neuromarketing in virtual worlds faces across different disciplines and business segments is required. The immense growth potential currently untapped in the metaverse domain can be taken to a different level altogether with the help of neuromarketing applications. Applications of Neuromarketing in the Metaverse discusses brand positioning among the target market in the virtual world through the application of neuromarketing principles and techniques. The book also explores consumer behavior and decodes their physiological and psychological responses in the metaverse domain with the help of tools and technologies used in neuromarketing. Covering key topics such as media, virtual reality, and branding, this premier reference source is ideal for industry professionals, marketers, business owners, managers, researchers, academicians, scholars, practitioners, instructors, and students.

Cyber Security and Network Security

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119812496
Total Pages : 324 pages
Book Rating : 4.94/5 ( download)

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Book Synopsis Cyber Security and Network Security by : Sabyasachi Pramanik

Download or read book Cyber Security and Network Security written by Sabyasachi Pramanik and published by John Wiley & Sons. This book was released on 2022-04-19 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: CYBER SECURITY AND NETWORK SECURITY Written and edited by a team of experts in the field, this is the most comprehensive and up-to-date study of the practical applications of cyber security and network security for engineers, scientists, students, and other professionals. Digital assaults are quickly becoming one of the most predominant issues on the planet. As digital wrongdoing keeps on expanding, it is increasingly more important to investigate new methodologies and advances that help guarantee the security of online networks. Ongoing advances and innovations have made great advances for taking care of security issues in a methodical manner. In light of this, organized security innovations have been delivered so as to guarantee the security of programming and correspondence functionalities at fundamental, improved, and engineering levels. This outstanding new volume covers all of the latest advances, innovations, and developments in practical applications for cybersecurity and network security. This team of editors represents some of the most well-known and respected experts in the area, creating this comprehensive, up-to-date coverage of the issues of the day and state of the art. Whether for the veteran engineer or scientist or a student, this volume is a must-have for any library.

Encyclopedia of Data Science and Machine Learning

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Author :
Publisher : IGI Global
ISBN 13 : 1799892212
Total Pages : 3296 pages
Book Rating : 4.12/5 ( download)

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Book Synopsis Encyclopedia of Data Science and Machine Learning by : Wang, John

Download or read book Encyclopedia of Data Science and Machine Learning written by Wang, John and published by IGI Global. This book was released on 2023-01-20 with total page 3296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.

Handbook of Research on Advancing Cybersecurity for Digital Transformation

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Author :
Publisher : IGI Global
ISBN 13 : 1799869768
Total Pages : 460 pages
Book Rating : 4.64/5 ( download)

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Book Synopsis Handbook of Research on Advancing Cybersecurity for Digital Transformation by : Sandhu, Kamaljeet

Download or read book Handbook of Research on Advancing Cybersecurity for Digital Transformation written by Sandhu, Kamaljeet and published by IGI Global. This book was released on 2021-06-18 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cybersecurity has been gaining serious attention and recently has become an important topic of concern for organizations, government institutions, and largely for people interacting with digital online systems. As many individual and organizational activities continue to grow and are conducted in the digital environment, new vulnerabilities have arisen which have led to cybersecurity threats. The nature, source, reasons, and sophistication for cyberattacks are not clearly known or understood, and many times invisible cyber attackers are never traced or can never be found. Cyberattacks can only be known once the attack and the destruction have already taken place long after the attackers have left. Cybersecurity for computer systems has increasingly become important because the government, military, corporate, financial, critical infrastructure, and medical organizations rely heavily on digital network systems, which process and store large volumes of data on computer devices that are exchanged on the internet, and they are vulnerable to “continuous” cyberattacks. As cybersecurity has become a global concern, it needs to be clearly understood, and innovative solutions are required. The Handbook of Research on Advancing Cybersecurity for Digital Transformation looks deeper into issues, problems, and innovative solutions and strategies that are linked to cybersecurity. This book will provide important knowledge that can impact the improvement of cybersecurity, which can add value in terms of innovation to solving cybersecurity threats. The chapters cover cybersecurity challenges, technologies, and solutions in the context of different industries and different types of threats. This book is ideal for cybersecurity researchers, professionals, scientists, scholars, and managers, as well as practitioners, stakeholders, researchers, academicians, and students interested in the latest advancements in cybersecurity for digital transformation.

Data Driven Mathematical Modeling in Agriculture

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Author :
Publisher : CRC Press
ISBN 13 : 1040120970
Total Pages : 501 pages
Book Rating : 4.72/5 ( download)

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Book Synopsis Data Driven Mathematical Modeling in Agriculture by : Sabyasachi Pramanik

Download or read book Data Driven Mathematical Modeling in Agriculture written by Sabyasachi Pramanik and published by CRC Press. This book was released on 2024-08-23 with total page 501 pages. Available in PDF, EPUB and Kindle. Book excerpt: The research in this book looks at the likelihood and level of use of implemented technological components with regard to the adoption of different precision agricultural technologies. To identify the variables affecting farmers' choices to embrace more precise technology, zero-inflated Poisson and negative binomial count data regression models are utilized. Outcomes from the count data analysis of a random sample of various farm operators show that various aspects, including farm dimension, farmer demographics, soil texture, urban impacts, farmer position of liabilities, and position of the farm in a state, were significantly associated with the approval severity and likelihood of precision farming technologies. Technical topics discussed in the book include: Precision agriculture Machine learning Wireless sensor networks IoT Deep learning