Dynamically Enabled Cyber Defense

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Dynamically Enabled Cyber Defense

Author : Lin Yang,Quan Yu
Publisher : World Scientific
Page : 389 pages
File Size : 45,5 Mb
Release : 2021-06-08
Category : Computers
ISBN : 9789811234354

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Dynamically Enabled Cyber Defense by Lin Yang,Quan Yu Pdf

The book puts forward dynamically enabled cyber defense technology as a solution to the system homogenization problem. Based on the hierarchy of the protected information system entity, the book elaborates on current mainstream dynamic defense technologies from four aspects: the internal hardware platform, software service, information data and external network communication. It also ascertains their possible evolution routes, clarifies their relationship with existing security products, and makes macro analyses and discussions on security gain and overall system efficiency of these technologies.This book can be used as both a textbook for graduate courses related to electronic information as well as a reference for scientific researchers engaged in relevant research. It helps graduate students majoring in electronics and information sciences to gain an understanding in dynamically-enabled cyber defense. Scientists and engineers specialising in network security research should also find this book to be a useful guide on recent developments in network security.

Dynamically-enabled Cyber Defense

Author : Lin Yang (Writer on computer security),Quan Yu (Engineer)
Publisher : Unknown
Page : 128 pages
File Size : 45,9 Mb
Release : 2021
Category : Computer security
ISBN : 9811234345

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Dynamically-enabled Cyber Defense by Lin Yang (Writer on computer security),Quan Yu (Engineer) Pdf

"The book puts forward dynamically enabled cyber defense technology as a solution to the system homogenization problem. Based on the hierarchy of the protected information system entity, the book elaborates on current mainstream dynamic defense technologies from four aspects: the internal hardware platform, software service, information data and external network communication. It also ascertains their possible evolution routes, clarifies their relationship with existing security products, and makes macro analyses and discussions on security gain and overall system efficiency of these technologies. This book can be used as both a textbook for graduate courses related to electronic information as well as a reference for scientific researchers engaged in relevant research. It helps graduate students majoring in electronics and information sciences to gain an understanding in dynamically-enabled cyber defense. Scientists and engineers specialising in network security research should also find this book to be a useful guide on recent developments in network security"--

Dynamic Networks and Cyber-Security

Author : Niall Adams,Nick Heard
Publisher : World Scientific
Page : 224 pages
File Size : 41,7 Mb
Release : 2016-03-22
Category : Electronic
ISBN : 9781786340764

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Dynamic Networks and Cyber-Security by Niall Adams,Nick Heard Pdf

As an under-studied area of academic research, the analysis of computer network traffic data is still in its infancy. However, the challenge of detecting and mitigating malicious or unauthorised behaviour through the lens of such data is becoming an increasingly prominent issue. This collection of papers by leading researchers and practitioners synthesises cutting-edge work in the analysis of dynamic networks and statistical aspects of cyber security. The book is structured in such a way as to keep security application at the forefront of discussions. It offers readers easy access into the area of data analysis for complex cyber-security applications, with a particular focus on temporal and network aspects. Chapters can be read as standalone sections and provide rich reviews of the latest research within the field of cyber-security. Academic readers will benefit from state-of-the-art descriptions of new methodologies and their extension to real practical problems while industry professionals will appreciate access to more advanced methodology than ever before. Contents:Network Attacks and the Data They Affect (M Morgan, J Sexton, J Neil, A Ricciardi & J Theimer)Cyber-Security Data Sources for Dynamic Network Research (A D Kent)Modelling User Behaviour in a Network Using Computer Event Logs (M J M Turcotte, N A Heard & A D Kent)Network Services as Risk Factors: A Genetic Epidemiology Approach to Cyber-Security (S Gil)Community Detection and Role Identification in Directed Networks: Understanding the Twitter Network of the Care.Data Debate (B Amor, S Vuik, R Callahan, A Darzi, S N Yaliraki & M Barahona)Anomaly Detection for Cyber Security Applications (P Rubin-Delanchy, D J Lawson & N A Heard)Exponential Random Graph Modelling of Static and Dynamic Social Networks (A Caimo)Hierarchical Dynamic Walks (A V Mantzaris, P Grindrod & D J Higham)Temporal Reachability in Dynamic Networks (A Hagberg, N Lemons & S Misra) Readership: Researchers and practitioners in dynamic network analysis and cyber-security. Key Features:Detailed descriptions of the behaviour of attackersDiscussions of new public domain data sources, including data quality issuesA collection of papers introducing novel methodology for cyber-data analysis

Cyber-Security Threats, Actors, and Dynamic Mitigation

Author : Nicholas Kolokotronis,Stavros Shiaeles
Publisher : CRC Press
Page : 392 pages
File Size : 52,7 Mb
Release : 2021-04-04
Category : Law
ISBN : 9781000366600

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Cyber-Security Threats, Actors, and Dynamic Mitigation by Nicholas Kolokotronis,Stavros Shiaeles Pdf

Provides a systematic overview of recent advances cyber-security, including attacker’s profiling, proactive risk mitigation, and real-time network monitoring Includes both technical and state-of-the-art research perspectives Covers the contemporary aspects of cyber-security in a rapidly-progressing field Describes tactics, techniques, and procedures that cyber-attackers typically use to attack systems Focuses on information and methodologies for modelling attack strategies

Machine Learning for Cyber Security

Author : Xiaofeng Chen,Xinyi Huang,Jun Zhang
Publisher : Springer Nature
Page : 411 pages
File Size : 40,7 Mb
Release : 2019-09-11
Category : Computers
ISBN : 9783030306199

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Machine Learning for Cyber Security by Xiaofeng Chen,Xinyi Huang,Jun Zhang Pdf

This book constitutes the proceedings of the Second International Conference on Machine Learning for Cyber Security, ML4CS 2019, held in Xi’an, China in September 2019. The 23 revised full papers and 3 short papers presented were carefully reviewed and selected from 70 submissions. The papers detail all aspects of machine learning in network infrastructure security, in network security detections and in application software security.

The CISO’s Next Frontier

Author : Raj Badhwar
Publisher : Springer Nature
Page : 398 pages
File Size : 41,5 Mb
Release : 2021-08-05
Category : Computers
ISBN : 9783030753542

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The CISO’s Next Frontier by Raj Badhwar Pdf

This book provides an advanced understanding of cyber threats as well as the risks companies are facing. It includes a detailed analysis of many technologies and approaches important to decreasing, mitigating or remediating those threats and risks. Cyber security technologies discussed in this book are futuristic and current. Advanced security topics such as secure remote work, data security, network security, application and device security, cloud security, and cyber risk and privacy are presented in this book. At the end of every chapter, an evaluation of the topic from a CISO’s perspective is provided. This book also addresses quantum computing, artificial intelligence and machine learning for cyber security The opening chapters describe the power and danger of quantum computing, proposing two solutions for protection from probable quantum computer attacks: the tactical enhancement of existing algorithms to make them quantum-resistant, and the strategic implementation of quantum-safe algorithms and cryptosystems. The following chapters make the case for using supervised and unsupervised AI/ML to develop predictive, prescriptive, cognitive and auto-reactive threat detection, mitigation, and remediation capabilities against advanced attacks perpetrated by sophisticated threat actors, APT and polymorphic/metamorphic malware. CISOs must be concerned about current on-going sophisticated cyber-attacks, and can address them with advanced security measures. The latter half of this book discusses some current sophisticated cyber-attacks and available protective measures enabled by the advancement of cybersecurity capabilities in various IT domains. Chapters 6-10 discuss secure remote work; chapters 11-17, advanced data security paradigms; chapters 18-28, Network Security; chapters 29-35, application and device security; chapters 36-39, Cloud security; and chapters 40-46 organizational cyber risk measurement and event probability. Security and IT engineers, administrators and developers, CIOs, CTOs, CISOs, and CFOs will want to purchase this book. Risk personnel, CROs, IT and Security Auditors as well as security researchers and journalists will also find this useful.

Cyber-Security Threats, Actors, and Dynamic Mitigation

Author : Nicholas Kolokotronis,Stavros Shiaeles
Publisher : CRC Press
Page : 395 pages
File Size : 43,7 Mb
Release : 2021-04-20
Category : Technology & Engineering
ISBN : 9781000366617

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Cyber-Security Threats, Actors, and Dynamic Mitigation by Nicholas Kolokotronis,Stavros Shiaeles Pdf

Cyber-Security Threats, Actors, and Dynamic Mitigation provides both a technical and state-of-the-art perspective as well as a systematic overview of the recent advances in different facets of cyber-security. It covers the methodologies for modeling attack strategies used by threat actors targeting devices, systems, and networks such as smart homes, critical infrastructures, and industrial IoT. With a comprehensive review of the threat landscape, the book explores both common and sophisticated threats to systems and networks. Tools and methodologies are presented for precise modeling of attack strategies, which can be used both proactively in risk management and reactively in intrusion prevention and response systems. Several contemporary techniques are offered ranging from reconnaissance and penetration testing to malware detection, analysis, and mitigation. Advanced machine learning-based approaches are also included in the area of anomaly-based detection, that are capable of detecting attacks relying on zero-day vulnerabilities and exploits. Academics, researchers, and professionals in cyber-security who want an in-depth look at the contemporary aspects of the field will find this book of interest. Those wanting a unique reference for various cyber-security threats and how they are detected, analyzed, and mitigated will reach for this book often.

Game Theory and Machine Learning for Cyber Security

Author : Charles A. Kamhoua,Christopher D. Kiekintveld,Fei Fang,Quanyan Zhu
Publisher : John Wiley & Sons
Page : 546 pages
File Size : 47,6 Mb
Release : 2021-09-08
Category : Technology & Engineering
ISBN : 9781119723943

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Game Theory and Machine Learning for Cyber Security by Charles A. Kamhoua,Christopher D. Kiekintveld,Fei Fang,Quanyan Zhu Pdf

GAME THEORY AND MACHINE LEARNING FOR CYBER SECURITY Move beyond the foundations of machine learning and game theory in cyber security to the latest research in this cutting-edge field In Game Theory and Machine Learning for Cyber Security, a team of expert security researchers delivers a collection of central research contributions from both machine learning and game theory applicable to cybersecurity. The distinguished editors have included resources that address open research questions in game theory and machine learning applied to cyber security systems and examine the strengths and limitations of current game theoretic models for cyber security. Readers will explore the vulnerabilities of traditional machine learning algorithms and how they can be mitigated in an adversarial machine learning approach. The book offers a comprehensive suite of solutions to a broad range of technical issues in applying game theory and machine learning to solve cyber security challenges. Beginning with an introduction to foundational concepts in game theory, machine learning, cyber security, and cyber deception, the editors provide readers with resources that discuss the latest in hypergames, behavioral game theory, adversarial machine learning, generative adversarial networks, and multi-agent reinforcement learning. Readers will also enjoy: A thorough introduction to game theory for cyber deception, including scalable algorithms for identifying stealthy attackers in a game theoretic framework, honeypot allocation over attack graphs, and behavioral games for cyber deception An exploration of game theory for cyber security, including actionable game-theoretic adversarial intervention detection against advanced persistent threats Practical discussions of adversarial machine learning for cyber security, including adversarial machine learning in 5G security and machine learning-driven fault injection in cyber-physical systems In-depth examinations of generative models for cyber security Perfect for researchers, students, and experts in the fields of computer science and engineering, Game Theory and Machine Learning for Cyber Security is also an indispensable resource for industry professionals, military personnel, researchers, faculty, and students with an interest in cyber security.

Cyber Security and Privacy

Author : Massimo Felici
Publisher : Springer
Page : 183 pages
File Size : 42,9 Mb
Release : 2013-10-23
Category : Computers
ISBN : 9783642412059

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Cyber Security and Privacy by Massimo Felici Pdf

This book constitutes the thoroughly refereed, selected papers on Cyber Security and Privacy EU Forum 2013, held in Belgium, in April 2013. The 14 revised full papers presented were carefully reviewed and selected from various submissions. The papers are organized in topical sections on cloud computing, security and privacy management, security and privacy technology, security and privacy policy.

Building the Network of the Future

Author : John Donovan,Krish Prabhu
Publisher : CRC Press
Page : 427 pages
File Size : 48,7 Mb
Release : 2017-06-26
Category : Computers
ISBN : 9781351804691

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Building the Network of the Future by John Donovan,Krish Prabhu Pdf

From the Foreword: "This book lays out much of what we’ve learned at AT&T about SDN and NFV. Some of the smartest network experts in the industry have drawn a map to help you navigate this journey. Their goal isn’t to predict the future but to help you design and build a network that will be ready for whatever that future holds. Because if there’s one thing the last decade has taught us, it’s that network demand will always exceed expectations. This book will help you get ready." —Randall Stephenson, Chairman, CEO, and President of AT&T "Software is changing the world, and networks too. In this in-depth book, AT&T's top networking experts discuss how they're moving software-defined networking from concept to practice, and why it's a business imperative to do this rapidly." —Urs Hölzle, SVP Cloud Infrastructure, Google "Telecom operators face a continuous challenge for more agility to serve their customers with a better customer experience and a lower cost. This book is a very inspiring and vivid testimony of the huge transformation this means, not only for the networks but for the entire companies, and how AT&T is leading it. It provides a lot of very deep insights about the technical challenges telecom engineers are facing today. Beyond AT&T, I’m sure this book will be extremely helpful to the whole industry." —Alain Maloberti, Group Chief Network Officer, Orange Labs Networks "This new book should be read by any organization faced with a future driven by a "shift to software." It is a holistic view of how AT&T has transformed its core infrastructure from hardware based to largely software based to lower costs and speed innovation. To do so, AT&T had to redefine their technology supply chain, retrain their workforce, and move toward open source user-driven innovation; all while managing one of the biggest networks in the world. It is an amazing feat that will put AT&T in a leading position for years to come." —Jim Zemlin, Executive Director, The Linux Foundation This book is based on the lessons learned from AT&T’s software transformation journey starting in 2012 when rampant traffic growth necessitated a change in network architecture and design. Using new technologies such as NFV, SDN, Cloud, and Big Data, AT&T’s engineers outlined and implemented a radical network transformation program that dramatically reduced capital and operating expenditures. This book describes the transformation in substantial detail. The subject matter is of great interest to telecom professionals worldwide, as well as academic researchers looking to apply the latest techniques in computer science to solving telecom’s big problems around scalability, resilience, and survivability.

Handbook of Dynamic Data Driven Applications Systems

Author : Frederica Darema,Erik P. Blasch,Sai Ravela,Alex J. Aved
Publisher : Springer Nature
Page : 937 pages
File Size : 45,6 Mb
Release : 2023-10-16
Category : Computers
ISBN : 9783031279867

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Handbook of Dynamic Data Driven Applications Systems by Frederica Darema,Erik P. Blasch,Sai Ravela,Alex J. Aved Pdf

This Second Volume in the series Handbook of Dynamic Data Driven Applications Systems (DDDAS) expands the scope of the methods and the application areas presented in the first Volume and aims to provide additional and extended content of the increasing set of science and engineering advances for new capabilities enabled through DDDAS. The methods and examples of breakthroughs presented in the book series capture the DDDAS paradigm and its scientific and technological impact and benefits. The DDDAS paradigm and the ensuing DDDAS-based frameworks for systems’ analysis and design have been shown to engender new and advanced capabilities for understanding, analysis, and management of engineered, natural, and societal systems (“applications systems”), and for the commensurate wide set of scientific and engineering fields and applications, as well as foundational areas. The DDDAS book series aims to be a reference source of many of the important research and development efforts conducted under the rubric of DDDAS, and to also inspire the broader communities of researchers and developers about the potential in their respective areas of interest, of the application and the exploitation of the DDDAS paradigm and the ensuing frameworks, through the examples and case studies presented, either within their own field or other fields of study. As in the first volume, the chapters in this book reflect research work conducted over the years starting in the 1990’s to the present. Here, the theory and application content are considered for: Foundational Methods Materials Systems Structural Systems Energy Systems Environmental Systems: Domain Assessment & Adverse Conditions/Wildfires Surveillance Systems Space Awareness Systems Healthcare Systems Decision Support Systems Cyber Security Systems Design of Computer Systems The readers of this book series will benefit from DDDAS theory advances such as object estimation, information fusion, and sensor management. The increased interest in Artificial Intelligence (AI), Machine Learning and Neural Networks (NN) provides opportunities for DDDAS-based methods to show the key role DDDAS plays in enabling AI capabilities; address challenges that ML-alone does not, and also show how ML in combination with DDDAS-based methods can deliver the advanced capabilities sought; likewise, infusion of DDDAS-like approaches in NN-methods strengthens such methods. Moreover, the “DDDAS-based Digital Twin” or “Dynamic Digital Twin”, goes beyond the traditional DT notion where the model and the physical system are viewed side-by-side in a static way, to a paradigm where the model dynamically interacts with the physical system through its instrumentation, (per the DDDAS feed-back control loop between model and instrumentation).

Cloud-Based Design and Manufacturing (CBDM)

Author : Dirk Schaefer
Publisher : Springer
Page : 293 pages
File Size : 49,6 Mb
Release : 2014-06-16
Category : Technology & Engineering
ISBN : 9783319073989

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Cloud-Based Design and Manufacturing (CBDM) by Dirk Schaefer Pdf

The book introduces the reader to game-changing ways of building and utilizing Internet-based services related to design and manufacture activities through the cloud. In a broader sense, CBDM refers to a new product realization model that enables collective open innovation and rapid product development with minimum costs through social networking and negotiation platforms between service providers and consumers. It is a type of parallel and distributed system consisting of a collection of inter-connected physical and virtualized service pools of design and manufacturing resources as well as intelligent search capabilities for design and manufacturing solutions. Practicing engineers and decision makers will learn how to strategically position their product development operations for success in a globalized interconnected world.

AI-Driven Cybersecurity andThreat Intelligence

Author : Iqbal H. Sarker
Publisher : Springer Nature
Page : 207 pages
File Size : 50,5 Mb
Release : 2024-06-27
Category : Electronic
ISBN : 9783031544972

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AI-Driven Cybersecurity andThreat Intelligence by Iqbal H. Sarker Pdf

Disaster Management: Enabling Resilience

Author : Anthony Masys
Publisher : Springer
Page : 342 pages
File Size : 45,6 Mb
Release : 2014-11-03
Category : Technology & Engineering
ISBN : 9783319088198

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Disaster Management: Enabling Resilience by Anthony Masys Pdf

The present work will discuss relevant theoretical frameworks and applications pertaining to enabling resilience within the risk, crisis and disaster management domain. The contributions to this book focus on resilience thinking along 4 broad themes: Urban Domain; Cyber Domain; Organizational/Social domain; and Socio-ecological domain. This book would serve as a valuable reference for courses on risk, crisis and disaster management, international development, social innovation and resilience. This will be of particular interest to those working in the risk, crisis and disaster management domain as it will provide valuable insights into enabling resilience. This book will be well positioned to inform disaster management professionals, policy makers and academics on strategies and perspectives regarding disaster resilience.

Recent Advances in Computational Intelligence and Cyber Security

Author : Ashok Kumar Singh,Zeeshan Ali Siddiqui,Siddharth Singh,Amit Kumar Singh,Tanveer J. Siddiqui
Publisher : CRC Press
Page : 400 pages
File Size : 42,5 Mb
Release : 2024-07-08
Category : Computers
ISBN : 9781040127865

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Recent Advances in Computational Intelligence and Cyber Security by Ashok Kumar Singh,Zeeshan Ali Siddiqui,Siddharth Singh,Amit Kumar Singh,Tanveer J. Siddiqui Pdf

In the ever-accelerating tapestry of our digital age, the symbiotic relationship between computational intelligence and cyber security has become the linchpin of progress. The relentless pace of technological evolution and the ceaseless emergence of cyber threats demand not only adaptation but also an exploration of the forefronts of innovation and defence. Recent Advances in Computational Intelligence and Cyber security is a testament to the exhilarating journey undertaken by researchers, practitioners, and visionaries in these pivotal fields. Within the confines of this book, we embark on a captivating exploration of the cutting-edge developments that define the current state of computational intelligence and the intricate dance with the ever-evolving landscape of cyber security.