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Author: Melissa Danforth Publisher: ISBN: Category : Languages : en Pages : 356
Book Description
Central to computer security are detecting attacks against systems and managing computer systems to mitigate threats to the system. Attacks exploit vulnerabilities in the system such as a programming flaw. Threats are vulnerabilities which could lead to an attack under certain circumstances. The key to the detection of attacks is discovering an ongoing attack against the system. Mitigating threats involves a continuous assessment of the vulnerabilities in the system and of the risk these vulnerabilities pose with respects to a security policy. Intrusion detection systems (IDS) are programs which detect attacks. The goal is to issue alerts only when an actual attack occurs, but also to not miss any attacks. The biological immune system provides a compelling model on which to base an IDS. This work adds the biological concepts of positive selection and collaboration to artificial immune systems to achieve a better attack detection rate without unduly raising the false alarm rate. Attack graphs assess the threat to the system by showing the composition of vulnerabilities in the system. The key issues with attack graphs are to large networks, ease of coding new attacks into the model, incomplete network information, visualization of the graph and automatic analysis of the graph. This work presents an abstract class model that aggregates individual attacks into abstract classes. Through these abstractions, scalability is greatly increased and the codification of new attacks into the model is made easier when compared to the current approach that models each attack. Clustering of identical machines is used to reduce the visual complexity of the graph and also to increase scalability. Incomplete network information is handled by allowing "what if" evaluations where an administrator can hypothesize about the existence of certain vulnerabilities in the system and investigate their consequences.
Author: Melissa Danforth Publisher: ISBN: Category : Languages : en Pages : 356
Book Description
Central to computer security are detecting attacks against systems and managing computer systems to mitigate threats to the system. Attacks exploit vulnerabilities in the system such as a programming flaw. Threats are vulnerabilities which could lead to an attack under certain circumstances. The key to the detection of attacks is discovering an ongoing attack against the system. Mitigating threats involves a continuous assessment of the vulnerabilities in the system and of the risk these vulnerabilities pose with respects to a security policy. Intrusion detection systems (IDS) are programs which detect attacks. The goal is to issue alerts only when an actual attack occurs, but also to not miss any attacks. The biological immune system provides a compelling model on which to base an IDS. This work adds the biological concepts of positive selection and collaboration to artificial immune systems to achieve a better attack detection rate without unduly raising the false alarm rate. Attack graphs assess the threat to the system by showing the composition of vulnerabilities in the system. The key issues with attack graphs are to large networks, ease of coding new attacks into the model, incomplete network information, visualization of the graph and automatic analysis of the graph. This work presents an abstract class model that aggregates individual attacks into abstract classes. Through these abstractions, scalability is greatly increased and the codification of new attacks into the model is made easier when compared to the current approach that models each attack. Clustering of identical machines is used to reduce the visual complexity of the graph and also to increase scalability. Incomplete network information is handled by allowing "what if" evaluations where an administrator can hypothesize about the existence of certain vulnerabilities in the system and investigate their consequences.
Author: Tony UcedaVelez Publisher: John Wiley & Sons ISBN: 0470500964 Category : Political Science Languages : en Pages : 692
Book Description
This book introduces the Process for Attack Simulation & Threat Analysis (PASTA) threat modeling methodology. It provides an introduction to various types of application threat modeling and introduces a risk-centric methodology aimed at applying security countermeasures that are commensurate to the possible impact that could be sustained from defined threat models, vulnerabilities, weaknesses, and attack patterns. This book describes how to apply application threat modeling as an advanced preventive form of security. The authors discuss the methodologies, tools, and case studies of successful application threat modeling techniques. Chapter 1 provides an overview of threat modeling, while Chapter 2 describes the objectives and benefits of threat modeling. Chapter 3 focuses on existing threat modeling approaches, and Chapter 4 discusses integrating threat modeling within the different types of Software Development Lifecycles (SDLCs). Threat modeling and risk management is the focus of Chapter 5. Chapter 6 and Chapter 7 examine Process for Attack Simulation and Threat Analysis (PASTA). Finally, Chapter 8 shows how to use the PASTA risk-centric threat modeling process to analyze the risks of specific threat agents targeting web applications. This chapter focuses specifically on the web application assets that include customer’s confidential data and business critical functionality that the web application provides. • Provides a detailed walkthrough of the PASTA methodology alongside software development activities, normally conducted via a standard SDLC process • Offers precise steps to take when combating threats to businesses • Examines real-life data breach incidents and lessons for risk management Risk Centric Threat Modeling: Process for Attack Simulation and Threat Analysis is a resource for software developers, architects, technical risk managers, and seasoned security professionals.
Author: Xinming Ou Publisher: Springer Science & Business Media ISBN: 1461418607 Category : Computers Languages : en Pages : 41
Book Description
Protection of enterprise networks from malicious intrusions is critical to the economy and security of our nation. This article gives an overview of the techniques and challenges for security risk analysis of enterprise networks. A standard model for security analysis will enable us to answer questions such as “are we more secure than yesterday” or “how does the security of one network configuration compare with another one”. In this article, we will present a methodology for quantitative security risk analysis that is based on the model of attack graphs and the Common Vulnerability Scoring System (CVSS). Our techniques analyze all attack paths through a network, for an attacker to reach certain goal(s).
Author: Norman Fenton Publisher: CRC Press ISBN: 1351978977 Category : Mathematics Languages : en Pages : 661
Book Description
Since the first edition of this book published, Bayesian networks have become even more important for applications in a vast array of fields. This second edition includes new material on influence diagrams, learning from data, value of information, cybersecurity, debunking bad statistics, and much more. Focusing on practical real-world problem-solving and model building, as opposed to algorithms and theory, it explains how to incorporate knowledge with data to develop and use (Bayesian) causal models of risk that provide more powerful insights and better decision making than is possible from purely data-driven solutions. Features Provides all tools necessary to build and run realistic Bayesian network models Supplies extensive example models based on real risk assessment problems in a wide range of application domains provided; for example, finance, safety, systems reliability, law, forensics, cybersecurity and more Introduces all necessary mathematics, probability, and statistics as needed Establishes the basics of probability, risk, and building and using Bayesian network models, before going into the detailed applications A dedicated website contains exercises and worked solutions for all chapters along with numerous other resources. The AgenaRisk software contains a model library with executable versions of all of the models in the book. Lecture slides are freely available to accredited academic teachers adopting the book on their course.
Author: Goundar, Sam Publisher: IGI Global ISBN: 1799823695 Category : Computers Languages : en Pages : 215
Book Description
Digital transformation is a revolutionary technology that will play a vital role in major industries, including global governments. These administrations are taking the initiative to incorporate digital programs with their objective being to provide digital infrastructure as a basic utility for every citizen, provide on demand services with superior governance, and empower their citizens digitally. However, security and privacy are major barriers in adopting these mechanisms, as organizations and individuals are concerned about their private and financial data. Impact of Digital Transformation on Security Policies and Standards is an essential research book that examines the policies, standards, and mechanisms for security in all types of digital applications and focuses on blockchain and its imminent impact on financial services in supporting smart government, along with bitcoin and the future of digital payments. Highlighting topics such as cryptography, privacy management, and e-government, this book is ideal for security analysts, data scientists, academicians, policymakers, security professionals, IT professionals, government officials, finance professionals, researchers, and students.
Author: Norman Fenton Publisher: CRC Press ISBN: 1439809119 Category : Business & Economics Languages : en Pages : 516
Book Description
Although many Bayesian Network (BN) applications are now in everyday use, BNs have not yet achieved mainstream penetration. Focusing on practical real-world problem solving and model building, as opposed to algorithms and theory, Risk Assessment and Decision Analysis with Bayesian Networks explains how to incorporate knowledge with data to develop and use (Bayesian) causal models of risk that provide powerful insights and better decision making. Provides all tools necessary to build and run realistic Bayesian network models Supplies extensive example models based on real risk assessment problems in a wide range of application domains provided; for example, finance, safety, systems reliability, law, and more Introduces all necessary mathematics, probability, and statistics as needed The book first establishes the basics of probability, risk, and building and using BN models, then goes into the detailed applications. The underlying BN algorithms appear in appendices rather than the main text since there is no need to understand them to build and use BN models. Keeping the body of the text free of intimidating mathematics, the book provides pragmatic advice about model building to ensure models are built efficiently. A dedicated website, www.BayesianRisk.com, contains executable versions of all of the models described, exercises and worked solutions for all chapters, PowerPoint slides, numerous other resources, and a free downloadable copy of the AgenaRisk software.
Author: Ameya Mahesh Sanzgiri Publisher: ISBN: Category : Languages : en Pages : 114
Book Description
27, 29Wireless devices are becoming an integral part of the human environment and their seamless integration has created a range of new wireless sensor network architectures. Unfortunately the security of such networks often lags behind other advances and more often than not is developed only after the core systems and protocols have been standardized. This results in these security schemes having case-specic reactive attributes and being unable to anticipate any changes in the attacker's attack vector. Integrating security into the next generation computer applications' core design is paramount as traditional "reactive" security operations on top of normal functionality will be an expensive and ineffective proposition. The primary focus of this dissertation is to develop a framework that assists in the formulation of proactive security schemes. A proactive security scheme aims at dissuading an adversary from attacking a system by increasing the cost of attack.Such schemes need to be integral to the design of the emerging technologies' domain, so that protection against attacks, especially the stealthy and smart ones can be devised. However, to effectively design such schemes, one needs to understand the threats to a system as well as their effects on a system. Threat modeling in itself is a significant research challenge due to the lack of easy to understand techniques or methodologies. This dissertation focusses on the problem of creating a framework which is generic enough for emerging systems and networked applications and can be easily adapted to provide a defender with appropriate attack vectors and risk analysis capabilities. First the dissertation presents a paradigm shift in threat modeling by incorporating the attacker's perspective in the implementation of an attack and analyzing the various factors that an attacker would have to consider in his attack.Second, the identification of the avenues where the proposed framework can be used to increase the effectiveness of the modeling techniques is discussed. Although the framework can be used at any abstracted level, the dissertation focusses on some of the most important avenues of attacks by studying the problem of identifying levels which present the most likelihood of risks. The levels discussed are Architecture level - where the model is applied to the entire architecture, considering the specifics of the architecture and investigating threats to the architecture; Protocol level - where protocol (network) specifics and threats to the protocols are considered and finally, the Application level - where the threat model considers the application specifics, such as the purpose of the application and the unique features of the applications as well as the information from the architectural and protocol level threat modeling.The framework is applied to several existing as well as emerging real-world applications and open-ended attacks to identify and analyze the risks faced by these applications by using epidemic theory, probabilistic modeling and concepts from complexity theory to conduct the risk analysis. The risk verification is done via simulations as well as real world experiments. The aim of this research is to develop a framework, which will be a valuable aid in the creation of sound security schemes and risk analysis in the future.
Author: Adam Shostack Publisher: John Wiley & Sons ISBN: 1118810058 Category : Computers Languages : en Pages : 624
Book Description
The only security book to be chosen as a Dr. Dobbs Jolt Award Finalist since Bruce Schneier's Secrets and Lies and Applied Cryptography! Adam Shostack is responsible for security development lifecycle threat modeling at Microsoft and is one of a handful of threat modeling experts in the world. Now, he is sharing his considerable expertise into this unique book. With pages of specific actionable advice, he details how to build better security into the design of systems, software, or services from the outset. You'll explore various threat modeling approaches, find out how to test your designs against threats, and learn effective ways to address threats that have been validated at Microsoft and other top companies. Systems security managers, you'll find tools and a framework for structured thinking about what can go wrong. Software developers, you'll appreciate the jargon-free and accessible introduction to this essential skill. Security professionals, you'll learn to discern changing threats and discover the easiest ways to adopt a structured approach to threat modeling. Provides a unique how-to for security and software developers who need to design secure products and systems and test their designs Explains how to threat model and explores various threat modeling approaches, such as asset-centric, attacker-centric and software-centric Provides effective approaches and techniques that have been proven at Microsoft and elsewhere Offers actionable how-to advice not tied to any specific software, operating system, or programming language Authored by a Microsoft professional who is one of the most prominent threat modeling experts in the world As more software is delivered on the Internet or operates on Internet-connected devices, the design of secure software is absolutely critical. Make sure you're ready with Threat Modeling: Designing for Security.
Author: Frank Swiderski Publisher: ISBN: 9780735619913 Category : Computer networks Languages : en Pages : 0
Book Description
Delve into the threat modeling methodology used by Microsoft's] security experts to identify security risks, verify an application's security architecture, and develop countermeasures in the design, coding, and testing phases. (Computer Books)
Author: Melissa Danforth
Author: Melissa Danforth
Author: Tony UcedaVelez
Author: Xinming Ou
Author: Norman Fenton
Author: Goundar, Sam
Author: Norman Fenton
Author: Ameya Mahesh Sanzgiri
Author: Adam Shostack
Author: Frank Swiderski
Author: Robert A. Fein