Engineering -- Electrical and Computer Engineering--ECE592A - Professional Career Development

This book provides a comprehensive overview of data security in cloud storage, ranging from basic paradigms and principles, to typical security issues and practical security solutions. It also illustrates how malicious attackers benefit from the compromised security of outsourced data in cloud storage and how attacks work in real situations, together with the countermeasures used to ensure the security of outsourced data.

Breaches and identity theft involving medical data are on the rise. Data security has become especially critical to the healthcare industry as patient privacy hinges on legal compliance and secure adoption of electronic health records. As cyber criminals see medical data as an easy way to illegally obtain medical goods and services or sell sensitive information, major security flaws can pose serious threats to the health and safety of patients. The Handbook of Research on Medical Data Security for Bioengineers seeks to provide a cross-disciplinary forum on research in privacy preserving healthcare systems and engineering applications in medical data security. The goal of the book is to instigate discussion on these critical issues since the success of electronic healthcare applications depends directly on patient security and privacy for ethical and legal reasons. While highlighting topics including data privacy, encryption strategies, and smart health, this book is ideally designed for IT experts, computer engineers, biomedical engineer practitioners, professionals, researchers, and post-doctoral and graduate students.

Privacy protection within large databases can be a challenge. By examining the current problems and challenges this domain is facing, more efficient strategies can be established to safeguard personal information against invasive pressures. HCI Challenges and Privacy Preservation in Big Data Security is an informative scholarly publication that discusses how human-computer interaction impacts privacy and security in almost all sectors of modern life. Featuring relevant topics such as large scale security data, threat detection, big data encryption, and identity management, this reference source is ideal for academicians, researchers, advanced-level students, and engineers that are interested in staying current on the advancements and drawbacks of human-computer interaction within the world of big data.

Data Security Breaches and Privacy in Europe aims to consider data protection and cybersecurity issues; more specifically, it aims to provide a fruitful discussion on data security breaches. A detailed analysis of the European Data Protection framework will be examined. In particular, the Data Protection Directive 95/45/EC, the Directive on Privacy and Electronic Communications and the proposed changes under the Data Protection Regulation (data breach notifications) and its implications are considered. This is followed by an examination of the Directive on Attacks against information systems and a discussion of the proposed Cybersecurity Directive, considering its shortcomings and its effects. The author concludes by looking at whether a balance can be drawn by the current and proposed Data Protection framework to protect against data security breaches and considers what more needs to be achieved.

Cyber security is concerned with the identification, avoidance, management and mitigation of risk in, or from, cyber space. The risk concerns harm and damage that might occur as the result of everything from individual carelessness, to organised criminality, to industrial and national security espionage and, at the extreme end of the scale, to disabling attacks against a country's critical national infrastructure.

Cyber Security Threats and Challenges Facing Human Life provides a comprehensive view of the issues, threats, and challenges that are faced in the cyber security domain. This book offers detailed analysis of effective countermeasures and mitigations. The financial sector, healthcare, digital manufacturing, and social media are some of the important areas in which cyber-attacks are frequent and cause great harm. Hence, special emphasis is given to the study and analysis of cyber security challenges and countermeasures in those four important areas.

This book presents that explainable artificial intelligence (XAI) is going to replace the traditional artificial, machine learning, deep learning algorithms which work as a black box as of today. To understand the algorithms better and interpret the complex networks of these algorithms, XAI plays a vital role. In last few decades, we have embraced AI in our daily life to solve a plethora of problems, one of the notable problems is cyber security. In coming years, the traditional AI algorithms are not able to address the zero-day cyber attacks, and hence, to capitalize on the AI algorithms, it is absolutely important to focus more on XAI. Hence, this book serves as an excellent reference for those who are working in cyber security and artificial intelligence.