Secure Data Management for Online Learning Applications


Book Description

With the increasing use of e-learning, technology has not only revolutionized the way businesses operate but has also impacted learning processes in the education sector. E-learning is slowly replacing traditional methods of teaching and security in e-learning is an important issue in this educational context. With this book, you will be familiarized with the theoretical frameworks, technical methodologies, information security, and empirical research findings in the field to protect your computers and information from threats. Secure Data Management for Online Learning Applications will keep you interested and involved throughout.




Navigating Cyber Threats and Cybersecurity in the Logistics Industry


Book Description

Supply chains are experiencing a seismic shift towards customer-centricity and sustainability and the challenges that are bound to arise will require innovative solutions. The escalating complexities of logistics, exacerbated by the profound impacts of the pandemic, underscore the urgency for a paradigm shift. Every industry is grappling with unprecedented disruptions from shortages in essential components to workforce deficits. Navigating Cyber Threats and Cybersecurity in the Logistics Industry serves as a beacon of insight and solutions in this transformative landscape. This groundbreaking book, a result of an in-depth study evaluating 901 startups and scale-ups globally, delves into the Top Logistics Industry Trends & Startups. It unveils the pivotal role of the Insights Discovery Platform, powered by Big Data and Artificial Intelligence, covering over 2 million startups and scale-ups worldwide. This platform offers an immediate and comprehensive assessment of innovations, facilitating the early identification of startups and scale-ups that hold the key to revolutionizing logistics.




Secure Data Management


Book Description

This book constitutes the refereed proceedings of the Fifth VLDB Workshop on Secure Data Management, SDM 2008, held in Auckland, New Zealand, on August 24, 2008, in conjunction with VLDB 2008. The 11 full papers were selected for publication in the book from 32 submissions. In addition, 3 position papers and a keynote paper are included. The papers are organized in topical sections on database security, trust management, privacy protection, and security and privacy in healthcare.




Using ROI for Strategic Planning of Online Education


Book Description

Published in association with While higher education has rarely employed ROI methodology—focusing more on balancing its revenue streams, such as federal, state, and local appropriations, tuition, and endowments with its costs—the rapid growth of online education and the history of how it has evolved, with its potential for institutional transformation and as a major source of revenue, as well as its need for substantial and long-term investment, makes the use of ROI an imperative. This book both demonstrates how ROI is a critical tool for strategic planning and outlines the process for determining ROI.The book’s expert contributors lay the foundation for developing new practices to meet the compelling challenges of online education and identify new models that offer the potential for transforming the educational system, meeting new workforce demands, and ultimately improving the economy. The opening chapters of the book explore the dimensions of ROI as a strategic planning process, offering guiding principles as well as methods of measurement and progress tracking, and demonstrate the impact of ROI across the institution.The book identifies the role of previously overlooked constituents—such as online professionals as critical partners for developing institutional strategy and institutional stakeholders for vital input on inclusivity, diversity, and equity—and their increasingly important role in impacting the ROI of online programs.Subsequent chapters offer a range of approaches to ROI reflecting the strategic priorities and types of return institutions seek from their investment in online programming, whether they be increased profits or surpluses via reduced expenses or increased operating efficiencies or the development of increased brand awareness for their programs. They also address the growing competitive environment of recent commercial entrants and online program managers (OPMs). The contributors offer best practices for setting goals and identifying benchmarks for increasing and measuring payback, including the creation of cross-functional ROI teams from across an institution; and further address the advantages and disadvantages of universities partnering with external providers, or even other colleges and universities, to provide online programs with them and for them. This book offers presidents and senior administrators, faculty engaged in shared governance, online learning administrators, and stakeholders representing student, community and employer interests with a rigorous process for developing an online strategy.




Secure Data Management for Online Learning Applications


Book Description

With the increasing use of e-learning, technology has not only revolutionized the way businesses operate but has also impacted learning processes in the education sector. E-learning is slowly replacing traditional methods of teaching and security in e-learning is an important issue in this educational context. With this book, you will be familiarized with the theoretical frameworks, technical methodologies, information security, and empirical research findings in the field to protect your computers and information from threats. Secure Data Management for Online Learning Applications will keep you interested and involved throughout.




Information Management


Book Description

Buy E-Book of Information Management Book For MBA 1st Semester of Anna University, Chennai




Teaching and Assessment in the Era of Education 5.0


Book Description

In the rapidly evolving landscape of Education 5.0, educators and institutions grapple with unprecedented challenges in leveraging digital technologies to enhance teaching, learning, and assessment. The profound shift towards a more humanized educational experience, focusing on social and emotional growth alongside skill development, demands a paradigmatic transformation. However, a palpable gap exists in understanding and navigating the complexities of this digital transition. Educators, students, and administrators are left facing dilemmas related to pedagogical innovation, technology integration, and effective learning assessment in the digital age. Enter Teaching and Assessment in the Era of Education 5.0, a definitive guide poised to bridge the gap between the challenges posed by Education 5.0 and actionable solutions. The current educational milieu faces a conundrum as it attempts to adapt to the tenets of Education 5.0. The digital transition poses challenges, from incorporating immersive technologies to understanding the attitudes of educators and students towards digitization. Furthermore, the design and implementation of training and distance learning systems require a nuanced approach, calling for engineering expertise in training, pedagogy, and tutoring. The assessment landscape, crucial for gauging the effectiveness of learning in the digital era, grapples with contemporary trends, ethical considerations, and the ever-present specter of plagiarism. This multifaceted challenge necessitates a comprehensive resource that not only delineates the issues but offers actionable solutions to navigate this transformative journey.




Secure Data Science


Book Description

Secure data science, which integrates cyber security and data science, is becoming one of the critical areas in both cyber security and data science. This is because the novel data science techniques being developed have applications in solving such cyber security problems as intrusion detection, malware analysis, and insider threat detection. However, the data science techniques being applied not only for cyber security but also for every application area—including healthcare, finance, manufacturing, and marketing—could be attacked by malware. Furthermore, due to the power of data science, it is now possible to infer highly private and sensitive information from public data, which could result in the violation of individual privacy. This is the first such book that provides a comprehensive overview of integrating both cyber security and data science and discusses both theory and practice in secure data science. After an overview of security and privacy for big data services as well as cloud computing, this book describes applications of data science for cyber security applications. It also discusses such applications of data science as malware analysis and insider threat detection. Then this book addresses trends in adversarial machine learning and provides solutions to the attacks on the data science techniques. In particular, it discusses some emerging trends in carrying out trustworthy analytics so that the analytics techniques can be secured against malicious attacks. Then it focuses on the privacy threats due to the collection of massive amounts of data and potential solutions. Following a discussion on the integration of services computing, including cloud-based services for secure data science, it looks at applications of secure data science to information sharing and social media. This book is a useful resource for researchers, software developers, educators, and managers who want to understand both the high level concepts and the technical details on the design and implementation of secure data science-based systems. It can also be used as a reference book for a graduate course in secure data science. Furthermore, this book provides numerous references that would be helpful for the reader to get more details about secure data science.







Machine Learning and Cryptographic Solutions for Data Protection and Network Security


Book Description

In the relentless battle against escalating cyber threats, data security faces a critical challenge – the need for innovative solutions to fortify encryption and decryption processes. The increasing frequency and complexity of cyber-attacks demand a dynamic approach, and this is where the intersection of cryptography and machine learning emerges as a powerful ally. As hackers become more adept at exploiting vulnerabilities, the book stands as a beacon of insight, addressing the urgent need to leverage machine learning techniques in cryptography. Machine Learning and Cryptographic Solutions for Data Protection and Network Security unveil the intricate relationship between data security and machine learning and provide a roadmap for implementing these cutting-edge techniques in the field. The book equips specialists, academics, and students in cryptography, machine learning, and network security with the tools to enhance encryption and decryption procedures by offering theoretical frameworks and the latest empirical research findings. Its pages unfold a narrative of collaboration and cross-pollination of ideas, showcasing how machine learning can be harnessed to sift through vast datasets, identify network weak points, and predict future cyber threats.