This book introduces the Cognitive Early Warning Predictive System (CEWPS ) as the new digital immune system. Similar to the human immune system, CEWPS relies on true or "inoculated" sickness experience to defend the body. The book also introduces The Smart Vaccine an intelligent agent that manages all the vaccination-as-a-service on the cloud before an attack happens. The book illustrates the current landscape of cyber warfare, highlights the vulnerabilities of critical infrastructure, and identifies the shortcomings of AVT. Next, it describes the concept, the architecture, and the enabling technologies required to build a digital immune system.

Biomedical Defense Principles to Counter DNA Deep Hacking presents readers with a comprehensive look at the emerging threat of DNA hacking. Dr. Rocky Termanini goes in-depth to uncover the erupting technology being developed by a new generation of savvy bio-hackers who have skills and expertise in biomedical engineering and bioinformatics. The book covers the use of tools such as CRISPR for malicious purposes, which has led agencies such as the U.S. Office of the Director of National Intelligence to add gene editing to its annual list of threats posed by "weapons of mass destruction and proliferation." Readers will learn about the methods and possible effects of bio-hacking attacks, and, in turn the best methods of autonomic and cognitive defense strategies to detect, capture, analyze, and neutralize DNA bio-hacking attacks, including the versatile DNA symmetrical AI Cognitive Defense System (ACDS). DNA bio-hackers plan to destroy, distort and contaminate confidential, healthy DNA records and potentially create corrupted genes for erroneous diagnosis of illnesses, disease genesis and even wrong DNA fingerprinting for criminal forensics investigations. - Presents a comprehensive reference for the fascinating emerging technology of DNA storage, the first book to present this level of detail and scope of coverage of this groundbreaking field - Helps readers understand key concepts of how DNA works as an information storage system and how it can be applied as a new technology for data storage - Provides readers with key technical understanding of technologies used to work with DNA data encoding, such as CRISPR, as well as emerging areas of application and ethical concern, such as smart cities, cybercrime, and cyber warfare - Includes coverage of synthesizing DNA-encoded data, sequencing DNA-encoded data, and fusing DNA with Digital Immunity Ecosystem (DIE)

Machine learning, one of the top emerging sciences, has an extremely broad range of applications. However, many books on the subject provide only a theoretical approach, making it difficult for a newcomer to grasp the subject material. This book provides a more practical approach by explaining the concepts of machine learning algorithms and describing the areas of application for each algorithm, using simple practical examples to demonstrate each algorithm and showing how different issues related to these algorithms are applied.

Present anti-virus technologies do not have the symmetrical weaponry to defeat massive DDoS attacks on smart cities. Smart cities require a new set of holistic and AI-centric cognitive technology, such as autonomic components that replicate the human immune system, and a smart grid that connects all IoT devices. The book introduces Digital Immunity and covers the human immune system, massive distributed attacks (DDoS) and the future generations cyber attacks, the anatomy and critical success factors of smart city, Digital Immunity and the role of the Smart Grid, how Digital Immunity defends the smart city and annihilates massive malware, and Digital Immunity to combat global cyber terrorism.

Storing Digital Binary Data into Cellular DNA demonstrates how current digital information storage systems have short longevity and limited capacity, also pointing out that their production and consumption of data exceeds supply. Author Rocky Termanini explains the DNA system and how it encodes vast amounts of data, then presents information on the emergence of DNA as a storage technology for the ever-growing stream of data being produced and consumed. The book will be of interest to a range of readers looking to understand this game-changing technology, including researchers in computer science, biomedical engineers, geneticists, physicians, clinicians, law enforcement and cybersecurity experts. - Presents a comprehensive reference on the fascinating and emerging technology of DNA storage - Helps readers understand key concepts on how DNA works as an information storage system - Provides readers with key information on the technologies used to work with DNA data encoding, such as CRISPR - Covers emerging areas of application and ethical concern, such as Smart Cities, cybercrime and cyberwarfare - Includes coverage of synthesizing DNA-encoded data, sequencing DNA-encoded data, and fusing DNA with Digital Immunity Ecosystems (DIE)

Information Security Policies, Procedures, and Standards: A Practitioner's Reference gives you a blueprint on how to develop effective information security policies and procedures. It uses standards such as NIST 800-53, ISO 27001, and COBIT, and regulations such as HIPAA and PCI DSS as the foundation for the content. Highlighting key terminology, policy development concepts and methods, and suggested document structures, it includes examples, checklists, sample policies and procedures, guidelines, and a synopsis of the applicable standards. The author explains how and why procedures are developed and implemented rather than simply provide information and examples. This is an important distinction because no two organizations are exactly alike; therefore, no two sets of policies and procedures are going to be exactly alike. This approach provides the foundation and understanding you need to write effective policies, procedures, and standards clearly and concisely. Developing policies and procedures may seem to be an overwhelming task. However, by relying on the material presented in this book, adopting the policy development techniques, and examining the examples, the task will not seem so daunting. You can use the discussion material to help sell the concepts, which may be the most difficult aspect of the process. Once you have completed a policy or two, you will have the courage to take on even more tasks. Additionally, the skills you acquire will assist you in other areas of your professional and private life, such as expressing an idea clearly and concisely or creating a project plan.

As an intermediate model between conventional PKC and ID-PKC, CL-PKC can avoid the heavy overhead of certificate management in traditional PKC as well as the key escrow problem in ID-PKC altogether. Since the introduction of CL-PKC, many concrete constructions, security models, and applications have been proposed during the last decade. Differing from the other books on the market, this one provides rigorous treatment of CL-PKC. Definitions, precise assumptions, and rigorous proofs of security are provided in a manner that makes them easy to understand.

The healthcare industry is under privacy attack. The book discusses the issues from the healthcare organization and individual perspectives. Someone hacking into a medical device and changing it is life-threatening. Personal information is available on the black market. And there are increased medical costs, erroneous medical record data that could lead to wrong diagnoses, insurance companies or the government data-mining healthcare information to formulate a medical ‘FICO’ score that could lead to increased insurance costs or restrictions of insurance. Experts discuss these issues and provide solutions and recommendations so that we can change course before a Healthcare Armageddon occurs.

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data

In recent years rough set theory has attracted the attention of many researchers and practitioners all over the world, who have contributed essentially to its development and applications. Weareobservingagrowingresearchinterestinthefoundationsofroughsets, including the various logical, mathematical and philosophical aspects of rough sets. Some relationships have already been established between rough sets and other approaches, and also with a wide range of hybrid systems. As a result, rough sets are linked with decision system modeling and analysis of complex systems, fuzzy sets, neural networks, evolutionary computing, data mining and knowledge discovery, pattern recognition, machine learning, and approximate reasoning. In particular, rough sets are used in probabilistic reasoning, granular computing (including information granule calculi based on rough mereology), intelligent control, intelligent agent modeling, identi?cation of autonomous s- tems, and process speci?cation. Methods based on rough set theory alone or in combination with other - proacheshavebeendiscoveredwith awide rangeofapplicationsinsuchareasas: acoustics, bioinformatics, business and ?nance, chemistry, computer engineering (e.g., data compression, digital image processing, digital signal processing, p- allel and distributed computer systems, sensor fusion, fractal engineering), de- sion analysis and systems, economics, electrical engineering (e.g., control, signal analysis, power systems), environmental studies, informatics, medicine, mole- lar biology, musicology, neurology, robotics, social science, software engineering, spatial visualization, Web engineering, and Web mining.