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Dieses Buch aus der Reihe „Neue Ansätze für die IT-Revision“ entwickelt aktuelle und neuartige Methoden für die Arbeit der Revision sowie für Prüfungen und Tests von IT-Systemen. Berücksichtigt werden dabei Aspekte des Datenschutzes, der Cybersicherheit, Effektivität und Funktionalität, und es werden Ansätze für Datenschutzbeauftragte, IT-Sicherheitsbeauftragte, CISOs, Compliance-Manager etc. vorgestellt. Die Schwerpunkte des Buches liegen auf Datenschutz, Kennzahlensystemen sowie Internet of Things und Künstlicher Intelligenz. Besondere Beachtung erfahren Themen wie Prüfung des Datenschutzmanagementsystems (DSMS), Prüfung der Auftragsverarbeitung sowie Meldepflichten gemäß DSGVO. Die präsentierten Ansätze zur Bewertung der Informationssicherheit mittels Kennzahlen, zu Tests für IoT-Geräte und zur Zertifizierung der Softwareentwicklung ermöglichen den Revisoren, diese Themen als systematische Prüfungen, Tests und Audits zu erfassen und umzusetzen. Der Inhalt Prüfung des Datenschutzmanagementsystems (DSMS) Prüfung der Auftragsverarbeitung gemäß Art. 28 DSGVO Meldepflichten für „Data Breaches“ gemäß Art. 33 DSGVO Kennzahlensysteme für Bewertung der Informationssicherheit Reife der Informationssicherheit IoT-Penetrationstest Zertifizierung der Softwareentwicklung Die Zielgruppen Prüfer, Revisoren, IT-Auditoren Datenschutzbeauftragte, Datenschutzkoordinatoren Datenschutzauditoren Beschäftigte/Verantwortliche in Datenschutzfunktionen IT-Compliance Manager IT-Sicherheitsbeauftragte, CISO IT-Verantwortliche, CIO Die Herausgeberin Dr. Aleksandra Sowa leitete zusammen mit dem deutschen Kryptologen Hans Dobbertin das Horst Görtz Institut für Sicherheit in der Informationstechnik. Sie ist zertifizierte Datenschutzbeauftragte und Datenschutzauditorin, IT-Compliance-Managerin (ITCM) und IT Information Security Practitioner (ITISP). Aleksandra ist Autorin diverser Bücher und Fachpublikationen, trat als Sachverständige für IT-Sicherheit im Innenausschuss des Bundestages auf, war u. a. für den Vorstand Datenschutz, Recht und Compliance (DRC) der Deutschen Telekom AG tätig und ist aktuell Senior Manager und Prokuristin in einer Wirtschaftsprüfungsgesellschaft. .

Computer security. --- Computer crimes. --- Principles and Models of Security. --- Systems and Data Security. --- Privacy. --- Computer Crime.

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This book investigates the recent history of the drug market on the dark web and suggests interventions that can be used to curb the trade of illegal products in the internet's underbelly. It outlines the current landscape of this market, highlighting: • What is known about drug markets on the dark web. • How transactions involving illicit goods occur in cryptomarkets. • How the illegal trade of drugs is conducted in the dark web. • The role of blockchain technology in these transactions. The chapters that follow identify effective methods suppliers and purchasers employ to trade under conditions of uncertainty. They explore the role that trust plays in network structures and vendor selections for drug markets. The volume includes a review of the targeting strategies available for law enforcement and offers new solutions to target the trade of illicit goods on the dark web. It is ideal for law enforcement officers and practitioners combatting cybercrime.

Computer crimes. --- Crime --- Crime. --- Technology. --- Cybercrime. --- Computer Crime. --- Crime and Society. --- Crime and Technology. --- Sociological aspects.

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The Art of Cyber Warfare explores the strategic and tactical approaches for offense and defense in the digital age. Drawing on historical conflicts from Sun Tzu to Carl von Clausewitz, the author illustrates that, despite changed conditions such as time, location, means, and resources – but not the laws of physics – it is possible to learn from past actions and reactions. The author aims to demonstrate in this book that, in reality, we have only transferred old methods into our current era but have forgotten to translate their reasons, effects, and the resulting lessons. For, as it has been for thousands of years, the reasons for human-created conflicts remain the same: wealth, fame, power, honor, or desire. Can we learn something from history for present and future (cyber) wars? The author Peter Kestner is a security consultant with over 25 years of experience in the field of cybersecurity. He advises SMEs and DAX30 companies, as well as government and defense entities, on cybersecurity, cybercrime, and cyberterrorism. His focus has been on the security of databases, operating systems, hardware, networks, as well as cryptography and steganography. The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.

Data protection. --- Computer crimes. --- Computer security. --- Data and Information Security. --- Computer Crime. --- Principles and Models of Security.

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This book articulates how crime prevention research and practice can be reimagined for an increasingly digital world. This ground-breaking work explores how criminology can apply longstanding, traditional crime prevention techniques to the digital realm. It provides an overview of the key principles, concepts and research literature associated with crime prevention, and discusses the interventions most commonly applied to crime problems. The authors review the theoretical underpinnings of these and analyses evidence for their efficacy. Cybercrime Prevention is split into three sections which examine primary prevention, secondary prevention and tertiary prevention. It provides a thorough discussion of what works and what does not, and offers a formulaic account of how traditional crime prevention interventions can be reimagined to apply to the digital realm. .

Computer crimes. --- Criminology. --- Juvenile delinquents. --- Family policy. --- School psychology. --- Cybercrime. --- Crime Control and Security. --- Computer Crime. --- Youth Offending and Juvenile Justice. --- Children, Youth and Family Policy. --- School Psychology.

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This book delivers a brief introduction to misinformation, and various novel approaches for solving misinformation detection problems. It considers all kinds of false information as fake news or misinformation and uses the terms fake news and misinformation interchangeably, in text, images, audio and video. The primary purpose is to provide a foundation for the problems of misinformation or false content detection including various challenges and approaches to solve them. The book starts with an overall description of misinformation. It briefly introduces the history, various issues or challenges, reasons for creating and spreading misinformation, and its impact on individuals and society. The second chapter discusses prior works on misinformation detection and explores various datasets, recent advancements, and state-of-the-art mechanisms. Chapter three demonstrates that the presence of surprising content in a story draws instant attention and appeals to strong emotional stimuli, and subsequently explores the application of novelty and emotion in the misinformation detection domain. Next, chapter four first introduces multitasking and discusses its advantages, before developing a framework for joint learning of interrelated tasks such as emotion recognition, novelty detection, and misinformation detection. The fifth chapter explores various datasets and mechanisms leveraging multimodal information, and eventually explains the fusion mechanisms of text and image modalities to obtain an efficient multimodal feature that ultimately helps to classify multimedia fake news. Chapter six discusses how novelty and emotion can be helpful in multimodal misinformation detection. It shows that detecting misleading information is difficult without earlier knowledge about that particular news and explores the possible solutions to tackle this problem. Eventually, chapter seven introduces the concept of multilingualism and implements an effective neural model to detect fabricated multilingual information, which overcomes the research and development gap in misinformation detection for regional languages. The final chapter eight briefly summarizes the presented results. This book is mainly written for researchers and graduate students specializing in fake news search and detection, as well as for industry professionals who need to explore various dimensions of misinformation detection regardless of their past knowledge and experience.

Information storage and retrieval systems. --- Artificial intelligence. --- Natural language processing (Computer science). --- Computer crimes. --- Information Storage and Retrieval. --- Artificial Intelligence. --- Natural Language Processing (NLP). --- Computer Crime.