Our world is increasingly driven by sophisticated networks of advanced computing technology, and the basic operation of everyday society is becoming increasingly vulnerable to these networks’ shortcomings. The implementation and upkeep of a strong network defense is a substantial challenge, beset not only by economic disincentives but also by an inherent logistical bias that grants advantage to attackers. Research Anthology on Combating Denial-of-Service Attacks examines the latest research on the development of intrusion detection systems and best practices for preventing and combatting cyber-attacks intended to disrupt business and user experience. Highlighting a range of topics such as network administration, application-layer protocols, and malware detection, this publication is an ideal reference source for cybersecurity professionals, IT specialists, policymakers, forensic analysts, technology developers, security administrators, academicians, researchers, and students.

The advent of the internet and social media were landmarks in furthering communication technologies. Through social media websites, families, friends, and communities could connect in a way never seen. Though these websites are helpful tools in facilitating positive interaction, they have also allowed users to verbally attack and bully each other with no fear of repercussion. Moreover, online predators will often use these tools to harass, stalk, and in some cases even lure their victims. Particularly rampant among adolescents, these harmful actions must be mitigated in order to safeguard the mental health and physical safety of users. The Research Anthology on Combating Cyber-Aggression and Online Negativity discusses the research behind cyber-aggression and cyber bullying, as well as methods to predict and prevent online negativity. It presents policy, technological, and human intervention practices against cyber-aggression. Covering topics such as media literacy, demographic variables, and workplace cyberbullying, this major reference work is a critical resource for students and educators of higher education, libraries, social media administrators, government organizations, K-12 teachers, computer scientists, sociologists, psychologists, human resource managers, researchers, and academicians.

The rise of technology has proven to be a threat to personal data, cyberspace protection, and organizational security. However, these technologies can be used to enhance the effectiveness of institutional security. Through the use of blockchain and the internet of things (IoT), organizations may combat cybercriminals and better protect their privacy. The Research Anthology on Convergence of Blockchain, Internet of Things, and Security describes the implementation of blockchain and IoT technologies to better protect personal and organizational data as well as enhance overall security. It also explains the tools, applications, and emerging innovations in security and the ways in which they are enhanced by blockchain and IoT. Covering topics such as electronic health records, intrusion detection, and software engineering, this major reference work is an essential resource for business leaders and executives, IT managers, computer scientists, hospital administrators, security professionals, law enforcement, students and faculty of higher education, librarians, researchers, and academicians.

In recent years, smart devices have become commonplace in our daily lives. On the internet of things (IoT), these devices powered new intelligent services. Their application enabled the rise of intelligent cities, smart agriculture, and Industry 4.0. However, smart devices collect and share large amounts of data, including the habits and preferences of their users. Cybersecurity incidents in intelligent environments may impact services used by millions across the world and make private information public. Information Security and Privacy in Smart Devices: Tools, Methods, and Applications presents research challenges, innovative insights, and trends related to solutions, methods, processes, and applications for maintaining information security and privacy in intelligent environments. Covering topics such as information retrieval methods, electronic health records, and misinformation detection, this premier reference source is an excellent resource for security professionals, government officials, business leaders and executives, IT managers, hospital administrators, students of higher education, librarians, researchers, and academicians.

With new technologies, such as computer vision, internet of things, mobile computing, e-governance and e-commerce, and wide applications of social media, organizations generate a huge volume of data and at a much faster rate than several years ago. Big data in large-/small-scale systems, characterized by high volume, diversity, and velocity, increasingly drives decision making and is changing the landscape of business intelligence. From governments to private organizations, from communities to individuals, all areas are being affected by this shift. There is a high demand for big data analytics that offer insights for computing efficiency, knowledge discovery, problem solving, and event prediction. To handle this demand and this increase in big data, there needs to be research on innovative and optimized machine learning algorithms in both large- and small-scale systems. Applications of Big Data in Large- and Small-Scale Systems includes state-of-the-art research findings on the latest development, up-to-date issues, and challenges in the field of big data and presents the latest innovative and intelligent applications related to big data. This book encompasses big data in various multidisciplinary fields from the medical field to agriculture, business research, and smart cities. While highlighting topics including machine learning, cloud computing, data visualization, and more, this book is a valuable reference tool for computer scientists, data scientists and analysts, engineers, practitioners, stakeholders, researchers, academicians, and students interested in the versatile and innovative use of big data in both large-scale and small-scale systems.

This book constitutes the proceedings of the First International Conference on Computational Intelligence and Smart Communication, ICCISC 2022, was held in Dehradun, India, in June 2022. The 8 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 56 submissions. The aim of the conference was to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field of Computational Intelligence and Smart Communication. It also focused on all aspects of computation intelligence and data sciences with modern and emerging computational topics. The papers are organized in the following topical sections: Wireless Sensor Networks and Computing Technologies; Networks, Security and Privacy Parallel & Distributed Networks; Smart Communication and Technology; and Emerging Computing Computational Intelligence.

As industries are rapidly being digitalized and information is being more heavily stored and transmitted online, the security of information has become a top priority in securing the use of online networks as a safe and effective platform. With the vast and diverse potential of artificial intelligence (AI) applications, it has become easier than ever to identify cyber vulnerabilities, potential threats, and the identification of solutions to these unique problems. The latest tools and technologies for AI applications have untapped potential that conventional systems and human security systems cannot meet, leading AI to be a frontrunner in the fight against malware, cyber-attacks, and various security issues. However, even with the tremendous progress AI has made within the sphere of security, it’s important to understand the impacts, implications, and critical issues and challenges of AI applications along with the many benefits and emerging trends in this essential field of security-based research. Research Anthology on Artificial Intelligence Applications in Security seeks to address the fundamental advancements and technologies being used in AI applications for the security of digital data and information. The included chapters cover a wide range of topics related to AI in security stemming from the development and design of these applications, the latest tools and technologies, as well as the utilization of AI and what challenges and impacts have been discovered along the way. This resource work is a critical exploration of the latest research on security and an overview of how AI has impacted the field and will continue to advance as an essential tool for security, safety, and privacy online. This book is ideally intended for cyber security analysts, computer engineers, IT specialists, practitioners, stakeholders, researchers, academicians, and students interested in AI applications in the realm of security research.

With the influx of internet and mobile technology usage, many medical institutions—from doctor’s offices to hospitals—have implemented new online technologies for the storage and access of health data as well as the monitoring of patient health. Telehealth was particularly useful during the COVID-19 pandemic, which monumentally increased its everyday usage. However, this transition of health data has increased privacy risks, and cyber criminals and hackers may have increased access to patient personal data. Medical staff and administrations must remain up to date on the new technologies and methods in securing these medical systems and records. The Research Anthology on Securing Medical Systems and Records discusses the emerging challenges in healthcare privacy as well as the technologies, methodologies, and emerging research in securing medical systems and enhancing patient privacy. It provides information on the implementation of these technologies as well as new avenues of medical security research. Covering topics such as biomedical imaging, internet of things, and watermarking, this major reference work is a comprehensive resource for security analysts, data scientists, hospital administrators, leaders in healthcare, medical professionals, health information managers, medical professionals, mobile application developers, security professionals, technicians, students, libraries, researchers, and academicians.

With the proliferation of devices connected to the internet and connected to each other, the volume of data collected, stored, and processed is increasing every day, which brings new challenges in terms of information security. As big data expands with the help of public clouds, traditional security solutions tailored to private computing infrastructures and confined to a well-defined security perimeter, such as firewalls and demilitarized zones (DMZs), are no longer effective. New security functions are required to work over the heterogenous composition of diverse hardware, operating systems, and network domains. Security, Privacy, and Forensics Issues in Big Data is an essential research book that examines recent advancements in big data and the impact that these advancements have on information security and privacy measures needed for these networks. Highlighting a range of topics including cryptography, data analytics, and threat detection, this is an excellent reference source for students, software developers and engineers, security analysts, IT consultants, academicians, researchers, and professionals.