الصفحة 1
الصفحة 1
Obstructions in Security-Aware Business Processes : Analysis, Detection, and Handling
This book explores the dilemma-like stalemate between security and regulatory compliance in business processes on the one hand and business continuity and governance on the other. The growing number of regulations, e.g., on information security, data protection, or privacy, implemented in increasingly digitized businesses can have an obstructive effect on the automated execution of business processes. Such security-related obstructions can particularly occur when an access control-based implementation of regulations blocks the execution of business processes. By handling obstructions, security in business processes is supposed to be improved. For this, the book presents a framework that allows the comprehensive analysis, detection, and handling of obstructions in a security-sensitive way. Thereby, methods based on common organizational security policies, process models, and logs are proposed. The Petri net-based modeling and related semantic and language-based research, as well as the analysis of event data and machine learning methods finally lead to the development of algorithms and experiments that can detect and resolve obstructions and are reproducible with the provided software.
Multimedia Forensics
Media forensics has never been more relevant to societal life. Not only media content represents an ever-increasing share of the data traveling on the net and the preferred communications means for most users, it has also become integral part of most innovative applications in the digital information ecosystem that serves various sectors of society, from the entertainment, to journalism, to politics. Undoubtedly, the advances in deep learning and computational imaging contributed significantly to this outcome. The underlying technologies that drive this trend, however, also pose a profound challenge in establishing trust in what we see, hear, and read, and make media content the preferred target of malicious attacks.
Intelligent Network Management and Control : Intelligent Security, Multi-criteria Optimization, Cloud Computing, Internet of Vehicles, Intelligent Radio
The management and control of networks can no longer be envisaged without the introduction of artificial intelligence at all stages. Deals with topical issues related mainly to intelligent security of computer networks, deployment of security services in SDN (software-defined networking), optimization of networks using artificial intelligence techniques and multi-criteria optimization methods for selecting networks in a heterogeneous environment. Focuses on selecting cloud computing services, intelligent unloading of calculations in the context of mobile cloud computing, intelligent resource management in a smart grid-cloud system for better energy efficiency, new architectures for the Internet of Vehicles (IoV), the application of artificial intelligence in cognitive radio networks and intelligent radio input to meet the on-road communication needs of autonomous vehicles.
Information security applications ; 21st International Conference, WISA 2020, Jeju Island, South Korea, August 26–28, 2020, Revised Selected Papers
This book constitutes the thoroughly refereed proceedings of the 21st International Conference on Information Security Applications, WISA 2020, held in Jeju Island, South Korea, in August 2020. The 30 full research papers included in this book were carefully reviewed and selected from 89 submissions. They are organized in the following topical sections: AI Security and Intrusion Detection; Steganography and Malware; Application, System, and Hardware Security; Cryptography; Advances in Network Security and Attack Defense; and Cyber Security.
Information security and privacy ; 6th Australasian Conference, ACISP 2001, Sydney, Australia, July 11-13, 2001. Proceedings
A Few Thoughts on E-Commerce.- New CBC-MAC Forgery Attacks.- Cryptanalysis of a Public Key Cryptosystem Proposed at ACISP 2000.- Improved Cryptanalysis of the Self-Shrinking Generator.- Attacks Based on Small Factors in Various Group Structures.- On Classifying Conference Key Distribution Protocols.- Pseudorandomness of MISTY-Type Transformations and the Block Cipher KASUMI.- New Public-Key Cryptosystem Using Divisor Class Groups.- First Implementation of Cryptographic Protocols Based on Algebraic Number Fields.- Practical Key Recovery Schemes.- Non-deterministic Processors.- Personal Secure Booting.- Evaluation of Tamper-Resistant Software Deviating from Structured Programming Rules.- A Strategy for MLS Workflow.- Condition-Driven Integration of Security Services.- SKETHIC: Secure Kernel Extension against Trojan Horses with Informat ion-Carrying Codes.- Secure and Private Distribution of Online Video and Some Related Cryptographic Issues.- Private Information Retrieval Based on the Subgroup Membership Problem.
Machine Learning for Cyber Agents : Attack and Defence
The cyber world has been both enhanced and endangered by AI. On the one hand, the performance of many existing security services has been improved, and new tools created. On the other, it entails new cyber threats both through evolved attacking capacities and through its own imperfections and vulnerabilities. Moreover, quantum computers are further pushing the boundaries of what is possible, by making machine learning cyber agents faster and smarter.
