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This book constitutes the proceedings of the 21st International Conference on Smart Card Research and Advanced Applications, CARDIS 2022, which took place in November 2022. The conference took place in Birmingham, United Kingdom. The 15 full papers presented in this volume were carefully reviewed and selected from 29 submissions. They were organized in topical sections named: physical attacks; physical countermeasures; protecting AES; evaluation methodologies; attacking NTRU; next-generation cryptography.

This book presents state-of-the-art blockchain and AI advances in health care. Healthcare service is increasingly creating the scope for blockchain and AI applications to enter the biomedical and healthcare world. Today, blockchain, AI, ML, and deep learning are affecting every domain. Through its cutting-edge applications, AI and ML are helping transform the healthcare industry for the better. Blockchain is a decentralization communication platform that has the potential to decentralize the way we store data and manage information. Blockchain technology has potential to reduce the role of middleman, one of the most important regulatory actors in our society. Transactions are simultaneously secure and trustworthy due to the use of cryptographic principles. In recent years, blockchain technology has become very trendy and has penetrated different domains, mostly due to the popularity of cryptocurrencies. One field where blockchain technology has tremendous potential is health care, dueto the need for a more patient-centric approach in healthcare systems to connect disparate systems and to increase the accuracy of electronic healthcare records (EHRs).

This large-format, alphabetized password book is organized by tabs per letter, making it easy, fast, and safe to store and locate important login information of all kinds!Individual tabs for each letter—no more tabs cramming multiple letters into the same space! Perfect for faster lookups and better organization.Removable sticker to go incognito! Don't want text on the cover sharing that it’s a password book? Peel it off!Bonus security tips to encourage maximized online safety. What to do (and what not to do) to stay ahead of scammers. Large trim size for extra space to record over 400 accounts, including important notes, password changes, and non-traditional records such as crypto logins.

This volume constitutes selected papers presented at the Third International Symposium on Emerging Information Security and Applications, EISA 2022, held in Wuhan, China, in October 2022. Due to COVID-19, EISA 2022 was held fully online.The 13 full papers presented in this volume were thoroughly reviewed and selected from the 35 submissions. They present a discussion on the emerging techniques, theories and applications to enhance information and application security in practice.

Dieses Buch bietet ein Tutorial über Quantenkommunikationsnetze. Die Autoren erörtern aktuelle Paradigmenwechsel in Kommunikationsnetzen, die erforderlich sind, um die einfachen Transportkonzepte der vorherrschenden Netze um Rechen- und Speicherfunktionen zu ergänzen. Sie zeigen, wie diese "softwarisierten" Lösungen neue Wege beschreiten, um Latenzzeiten zu reduzieren und die Ausfallsicherheit zu erhöhen. Die Autoren erörtern, wie diese Lösungen trotz der ihnen innewohnenden Probleme aufgrund der eingeführten Rechenlatenz und des Energieverbrauchs durch hybride klassisch-quantische Kommunikationsnetze gelöst werden können. Das Buch bringt Quantennetzwerke, Quanteninformationstheorie, Quantencomputer und Quantensimulation zusammen.

Comprehensive resource providing strategic defense mechanisms for malware, handling cybercrime, and identifying loopholes using artificial intelligence (AI) and machine learning (ML) Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection is a comprehensive look at state-of-the-art theory and practical guidelines pertaining to the subject, showcasing recent innovations, emerging trends, and concerns as well as applied challenges encountered, and solutions adopted in the fields of cybersecurity using analytics and machine learning. The text clearly explains theoretical aspects, framework, system architecture, analysis and design, implementation, validation, and tools and techniques of data science and machine learning to detect and prevent cyber threats. Using AI and ML approaches, the book offers strategic defense mechanisms for addressing malware, cybercrime, and system vulnerabilities. It also provides tools and techniques that can be applied by professional analysts to safely analyze, debug, and disassemble any malicious software they encounter. With contributions from qualified authors with significant experience in the field, Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection explores topics such as: Cybersecurity tools originating from computational statistics literature and pure mathematics, such as nonparametric probability density estimation, graph-based manifold learning, and topological data analysisApplications of AI to penetration testing, malware, data privacy, intrusion detection system (IDS), and social engineeringHow AI automation addresses various security challenges in daily workflows and how to perform automated analyses to proactively mitigate threatsOffensive technologies grouped together and analyzed at a higher level from both an offensive and defensive standpoint Providing detailed coverage of a rapidly expanding field, Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection is an essential resource for a wide variety of researchers, scientists, and professionals involved in fields that intersect with cybersecurity, artificial intelligence, and machine learning.

This volume constitutes selected papers presented at the First International Conference on Engineering Software for Modern Challenges, ESMoC 2021, held in Johor, Malaysia, in October 20-21, 2021.The 17 papers presented were thoroughly reviewed and selected from the 167 submissions. They are organized in the topical sections on software engineering; intelligent systems; software quality. 

This book discusses fundamentals of Blockchain technology and Industry 4.0. It discusses many applications of Blockchain technology in Industry 4.0, including integration of AI, IoT, and big data with Blockchain for Industry 4.0. It provides cutting-edge research content from researchers, academicians, and other professionals from different background areas to show their state-of-the-art knowledge to use Blockchain in Industry 4.0. The book discusses advantages of Industry 4.0, such as improved productivity, improved efficiency, flexibility, agility, better user experience, and many more, and also entails some challenges too, such as trust, traceability, security, reliability, transparency, etc., for creating an application of Industry 4.0. The book helps graduate, postgraduate, doctoral students, and industrial professionals to implement Blockchain in Industry 4.0.

This book constitutes the refereed proceedings of the 21st International Conference on Cryptology and Network Security, CANS 2022, which was held during November 13-16, 2022. The conference was took place in Abu Dhabi, United Arab Emirates.The 18 full and 2 short papers presented in these proceedings were carefully reviewed and selected from 54 submissions. They were organized in topical sections as follows: zero-knowledge and MPC; public-key infrastructure; attacks and countermeasures; cryptanalysis and provable security; cryptographic protocols; blockchain and payment systems; and codes and post-quantum cryptography.

Die Autorin stellt in diesem Standardwerk die zur Umsetzung der Sicherheitsanforderungen benötigten Verfahren und Protokolle detailliert vor und erläutert sie anschaulich anhand von Fallbeispielen. Im Vordergrund steht dabei, die Ursachen für Probleme heutiger IT-Systeme zu verdeutlichen und die grundlegenden Sicherheitskonzepte mit ihren jeweiligen Vor- und Nachteilen zu präsentieren. Der Leser entwickelt nicht nur ein Bewusstsein für IT-Sicherheitsrisiken, sondern erwirbt auch ein breites und grundlegendes Wissen zu deren Behebung. IT-Systeme und die Digitalisierung sind in allen Bereichen und Branchen von zentraler Bedeutung. Die IT-Sicherheit oder Cybersicherheit nimmt dabei eine tragende Rolle ein. Sie hat die Aufgabe sicher zu stellen, dass die verarbeiteten Daten nicht gezielt verfälscht werden, dass wertvolle Information nicht in falsche Hände gelangt und dass die IT-Systeme nicht in ihrer Funktion beeinträchtigt werden. Heutige IT-Systeme sind einer Vielzahl von Bedrohungen ausgesetzt und weisen noch immer viele Verwundbarkeiten auf. Gleichzeitig gibt es viele, zum Teil standardisierte Sicherheitslösungen, mit denen die Bedrohungen und die damit einhergehenden Risiken reduziert werden können. Kenntnisse möglicher Sicherheitsschwachstellen und möglicher Angriffe auf IT-Systeme, sowie der wichtigsten Sicherheitslösungen und deren Wirksamkeit sind essentiell, um IT-Systeme abzusichern und eine vertrauenswürdige Basis für die digitalen Prozesse zu schaffen. Aus den Inhalten: ¿ Sicherheitsschwachstellen, -bedrohungen und Angriffe ¿ Internet-(Un)Sicherheit ¿ Secure Engineering ¿ Kryptographische Verfahren und Schlüsselmanagement ¿ Digitale Identität ¿ Zugriffskontrolle ¿ Netzwerk-, Kommunikations- und Anwendungssicherheit ¿ Sichere drahtlose Kommunikation

Data privacy technologies are essential for implementing information systems with privacy by design.Privacy technologies clearly are needed for ensuring that data does not lead to disclosure, but also that statistics or even data-driven machine learning models do not lead to disclosure.  For example, can a deep-learning model be attacked to discover that sensitive data has been used for its training?  This accessible textbook presents privacy models, computational definitions of privacy, and methods to implement them. Additionally, the book explains and gives plentiful examples of how to implement-among other models-differential privacy, k-anonymity, and secure multiparty computation.Topics and features:Provides integrated presentation of data privacy (including tools from statistical disclosure control, privacy-preserving data mining, and privacy for communications)Discusses privacy requirements and tools for different types of scenarios, including privacy for data, for computations, and for usersOffers characterization of privacy models, comparing their differences, advantages, and disadvantagesDescribes some of the most relevant algorithms to implement privacy modelsIncludes examples of data protection mechanismsThis unique textbook/guide contains numerous examples and succinctly and comprehensively gathers the relevant information. As such, it will be eminently suitable for undergraduate and graduate students interested in data privacy, as well as professionals wanting a concise overview.Vicenc Torra is Professor with the Department of Computing Science at Umea University, Umea, Sweden.

This book constitutes revised selected papers from the proceedings of the 26th International Conference on Financial Cryptography and Data Security, FC 2022, which was held in Grenada during May 2022.The 32 full papers and 4 short papers included in this book were carefully reviewed andselected from 159 submissions. They were organized in topical sections as follows: tokenomics; MPC (mostly); privacy; ZKP; old-school consensus; mostly payment networks; incentives; not proof of work; performance; measurements.