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Graphical Models for Security by Peng Liu,Sjouke Mauw,Ketil Stolen Pdf
This book constitutes revised selected papers from the 4th International Workshop on Graphical Models for Security, GraMSec 2017, held in Santa Barbara, CA, USA, in August 2017. The 5 full and 4 short papers presented in this volume were carefully reviewed and selected from 19 submissions. The book also contains one invited paper from the WISER project. The contributions deal with the latest research and developments on graphical models for security.
Graphical Models for Security by Harley Eades III,Olga Gadyatskaya Pdf
This book constitutes the proceedings of the 7th International Workshop on Graphical Models for Security, GramSec 2020, which took place on June 22, 2020. The workshop was planned to take place in Boston, MA, USA but changed to a virtual format due to the COVID-19 pandemic. The 7 full and 3 short papers presented in this volume were carefully reviewed and selected from 14 submissions. The papers were organized in topical sections named: attack trees; attacks and risks modelling and visualization; and models for reasoning about security.
Graphical Models for Security by Massimiliano Albanese,Ross Horne,Christian W. Probst Pdf
This book constitutes revised papers from the 6th International Workshop on Graphical Models for Security, GraMSec 2019, held in Hoboken, NJ, USA, in June 2019. The 8 full papers presented in this volume were carefully reviewed and selected from 15 submissions. The book also contains two invited talk. The contributions deal with the latest research and developments on graphical models for security.
Graphical Models for Security by Sjouke Mauw,Barbara Kordy,Sushil Jajodia Pdf
This volume constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Graphical Models for Security, GraMSec 2015, held in Verona, Italy, in July 2015.The 5 revised full papers presented together with one short tool paper and one invited lecture were carefully reviewed and selected from 13 submissions. The workshop contributes to the development of well-founded graphical security models, efficient algorithms for their analysis, as well as methodologies for their practical usage, thus providing an intuitive but systematic methodology to analyze security weaknesses of systems and to evaluate potential protection measures. /div
Graphical Models for Security by George Cybenko,David Pym,Barbara Fila Pdf
This book constitutes revised selected papers from the 5th International Workshop on Graphical Models for Security, GraMSec 2018, held in Oxford, UK, in July 2018. The 7 full papers presented in this volume were carefully reviewed and selected from 21 submissions. The book also contains one invited talk. The contributions deal with the latest research and developments on graphical models for security.
Graphical Models for Security by Barbara Kordy,Mathias Ekstedt,Dong Seong Kim Pdf
This book constitutes the refereed proceedings from the Third International Workshop on Graphical Models for Security, GraMSec 2016, held in Lisbon, Portugal, in June 2016. The 9 papers presented in this volume were carefully reviewed and selected from 23 submissions. The volume also contains the invited talk by Xinming Ou. GraMSec contributes to the development of well-founded graphical security models, efficient algorithms for their analysis, as well as methodologies for their practical usage.
Probabilistic Graphical Models by Daphne Koller,Nir Friedman Pdf
A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions. Most tasks require a person or an automated system to reason—to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality. Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs.
Cyber-Physical Systems Security by Çetin Kaya Koç Pdf
The chapters in this book present the work of researchers, scientists, engineers, and teachers engaged with developing unified foundations, principles, and technologies for cyber-physical security. They adopt a multidisciplinary approach to solving related problems in next-generation systems, representing views from academia, government bodies, and industrial partners, and their contributions discuss current work on modeling, analyzing, and understanding cyber-physical systems.
Proceedings of Third International Conference on Computing, Communications, and Cyber-Security by Pradeep Kumar Singh,Sławomir T. Wierzchoń,Sudeep Tanwar,Joel J. P. C. Rodrigues,Maria Ganzha Pdf
This book features selected research papers presented at the Third International Conference on Computing, Communications, and Cyber-Security (IC4S 2021), organized in Krishna Engineering College (KEC), Ghaziabad, India, along with Academic Associates; Southern Federal University, Russia; IAC Educational, India; and ITS Mohan Nagar, Ghaziabad, India, during October 30–31, 2021. It includes innovative work from researchers, leading innovators, and professionals in the area of communication and network technologies, advanced computing technologies, data analytics and intelligent learning, the latest electrical and electronics trends, and security and privacy issues.
Machine Learning and Probabilistic Graphical Models for Decision Support Systems by Kim Phuc Tran Pdf
This book presents recent advancements in research, a review of new methods and techniques, and applications in decision support systems (DSS) with Machine Learning and Probabilistic Graphical Models, which are very effective techniques in gaining knowledge from Big Data and in interpreting decisions. It explores Bayesian network learning, Control Chart, Reinforcement Learning for multicriteria DSS, Anomaly Detection in Smart Manufacturing with Federated Learning, DSS in healthcare, DSS for supply chain management, etc. Researchers and practitioners alike will benefit from this book to enhance the understanding of machine learning, Probabilistic Graphical Models, and their uses in DSS in the context of decision making with uncertainty. The real-world case studies in various fields with guidance and recommendations for the practical applications of these studies are introduced in each chapter.
Multilevel Modeling of Secure Systems in QoP-ML by Bogdan Ksiezopolski Pdf
In order to perform effective analysis of today's information security systems, numerous components must be taken into consideration. This book presents a well-organized, consistent solution created by the author, which allows for precise multilevel analysis of information security systems and accounts for all of the significant details. Enabling t
Modeling and Analysis of Dependable Systems by Luigi Portinale,Daniele Codetta Raiteri Pdf
The monographic volume addresses, in a systematic and comprehensive way, the state-of-the-art dependability (reliability, availability, risk and safety, security) of systems, using the Artificial Intelligence framework of Probabilistic Graphical Models (PGM). After a survey about the main concepts and methodologies adopted in dependability analysis, the book discusses the main features of PGM formalisms (like Bayesian and Decision Networks) and the advantages, both in terms of modeling and analysis, with respect to classical formalisms and model languages. Methodologies for deriving PGMs from standard dependability formalisms will be introduced, by pointing out tools able to support such a process. Several case studies will be presented and analyzed to support the suitability of the use of PGMs in the study of dependable systems. Contents:Dependability and ReliabilityProbabilistic Graphical ModelsFrom Fault Trees to Bayesian NetworksFrom Dynamic Fault Tree to Dynamic Bayesian NetworksDecision Theoretic DependabilityThe RADyBaN Tool: Supporting DependabilityCase Study 1: Cascading FailuresCase Study 2: Autonomous Fault Detection, Identification and RecoveryCase Study 3: Security Assessment in Critical InfrastructuresCase Study 4: Dynamic Reliability Keywords:Dependability;Reliability;Probabilistic Graphical Models;Bayesian Networks;Fault Detection Identification and Recovery
Artificial Intelligence and Cyber Security in Industry 4.0 by Velliangiri Sarveshwaran,Joy Iong-Zong Chen,Danilo Pelusi Pdf
This book provides theoretical background and state-of-the-art findings in artificial intelligence and cybersecurity for industry 4.0 and helps in implementing AI-based cybersecurity applications. Machine learning-based security approaches are vulnerable to poison datasets which can be caused by a legitimate defender's misclassification or attackers aiming to evade detection by contaminating the training data set. There also exist gaps between the test environment and the real world. Therefore, it is critical to check the potentials and limitations of AI-based security technologies in terms of metrics such as security, performance, cost, time, and consider how to incorporate them into the real world by addressing the gaps appropriately. This book focuses on state-of-the-art findings from both academia and industry in big data security relevant sciences, technologies, and applications.
Foundations of Health Information Engineering and Systems by Jens Weber,Isabelle Perseil Pdf
This book constitutes the thoroughly refereed post-conference proceedings of the Second International Symposium on Foundations of Health Information Engineering and Systems, FHIES 2012, held in Paris, France, in August 2012. The 11 revised full papers presented together with 3 short papers in this volume were carefully reviewed and selected from 26 submissions. Topics of interest covered in this volume are such as software engineering; systems engineering; data engineering; applied mathematics; and psychology.
Secure IT Systems by Lothar Fritsch,Ismail Hassan,Ebenezer Paintsil Pdf
This book constitutes the proceedings of the 28th Nordic Conference, NordSec 2023, held in Oslo, Norway, during November 16–17, 2023. The 18 full papers included in this volume were carefully reviewed and selected from 55 submissions. This volume focuses on a broad range of topics within IT security and privacy.
