Information Fusion For Cyber Security Analytics

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Information Fusion for Cyber-Security Analytics

Izzat M Alsmadi,George Karabatis,Ahmed Aleroud
Information Fusion for Cyber Security Analytics Book PDF

Author : Izzat M Alsmadi,George Karabatis,Ahmed Aleroud
Publisher : Springer
Page : 379 pages
File Size : 54,7 Mb
Release : 2016-10-21
Category : Technology & Engineering
ISBN : 9783319442570

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Information Fusion for Cyber-Security Analytics by Izzat M Alsmadi,George Karabatis,Ahmed Aleroud Pdf

This book highlights several gaps that have not been addressed in existing cyber security research. It first discusses the recent attack prediction techniques that utilize one or more aspects of information to create attack prediction models. The second part is dedicated to new trends on information fusion and their applicability to cyber security; in particular, graph data analytics for cyber security, unwanted traffic detection and control based on trust management software defined networks, security in wireless sensor networks & their applications, and emerging trends in security system design using the concept of social behavioral biometric. The book guides the design of new commercialized tools that can be introduced to improve the accuracy of existing attack prediction models. Furthermore, the book advances the use of Knowledge-based Intrusion Detection Systems (IDS) to complement existing IDS technologies. It is aimed towards cyber security researchers.

Security Analytics

Mehak Khurana,Shilpa Mahajan
Security Analytics Book PDF

Author : Mehak Khurana,Shilpa Mahajan
Publisher : CRC Press
Page : 286 pages
File Size : 43,9 Mb
Release : 2022-06-24
Category : Computers
ISBN : 9781000597561

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Security Analytics by Mehak Khurana,Shilpa Mahajan Pdf

The book gives a comprehensive overview of security issues in cyber physical systems by examining and analyzing the vulnerabilities. It also brings current understanding of common web vulnerabilities and its analysis while maintaining awareness and knowledge of contemporary standards, practices, procedures and methods of Open Web Application Security Project. This book is a medium to funnel creative energy and develop new skills of hacking and analysis of security and expedites the learning of the basics of investigating crimes, including intrusion from the outside and damaging practices from the inside, how criminals apply across devices, networks, and the internet at large and analysis of security data. Features Helps to develop an understanding of how to acquire, prepare, visualize security data. Unfolds the unventured sides of the cyber security analytics and helps spread awareness of the new technological boons. Focuses on the analysis of latest development, challenges, ways for detection and mitigation of attacks, advanced technologies, and methodologies in this area. Designs analytical models to help detect malicious behaviour. The book provides a complete view of data analytics to the readers which include cyber security issues, analysis, threats, vulnerabilities, novel ideas, analysis of latest techniques and technology, mitigation of threats and attacks along with demonstration of practical applications, and is suitable for a wide-ranging audience from graduates to professionals/practitioners and researchers.

Data Analytics and Decision Support for Cybersecurity

Iván Palomares Carrascosa,Harsha Kumara Kalutarage,Yan Huang
Data Analytics and Decision Support for Cybersecurity Book PDF

Author : Iván Palomares Carrascosa,Harsha Kumara Kalutarage,Yan Huang
Publisher : Springer
Page : 270 pages
File Size : 55,9 Mb
Release : 2017-08-01
Category : Computers
ISBN : 9783319594392

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Data Analytics and Decision Support for Cybersecurity by Iván Palomares Carrascosa,Harsha Kumara Kalutarage,Yan Huang Pdf

The book illustrates the inter-relationship between several data management, analytics and decision support techniques and methods commonly adopted in Cybersecurity-oriented frameworks. The recent advent of Big Data paradigms and the use of data science methods, has resulted in a higher demand for effective data-driven models that support decision-making at a strategic level. This motivates the need for defining novel data analytics and decision support approaches in a myriad of real-life scenarios and problems, with Cybersecurity-related domains being no exception. This contributed volume comprises nine chapters, written by leading international researchers, covering a compilation of recent advances in Cybersecurity-related applications of data analytics and decision support approaches. In addition to theoretical studies and overviews of existing relevant literature, this book comprises a selection of application-oriented research contributions. The investigations undertaken across these chapters focus on diverse and critical Cybersecurity problems, such as Intrusion Detection, Insider Threats, Insider Threats, Collusion Detection, Run-Time Malware Detection, Intrusion Detection, E-Learning, Online Examinations, Cybersecurity noisy data removal, Secure Smart Power Systems, Security Visualization and Monitoring. Researchers and professionals alike will find the chapters an essential read for further research on the topic.

Cybersecurity Analytics

Rakesh M. Verma,David J. Marchette
Cybersecurity Analytics Book PDF

Author : Rakesh M. Verma,David J. Marchette
Publisher : CRC Press
Page : 357 pages
File Size : 45,9 Mb
Release : 2019-11-27
Category : Mathematics
ISBN : 9781000727654

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Cybersecurity Analytics by Rakesh M. Verma,David J. Marchette Pdf

Cybersecurity Analytics is for the cybersecurity student and professional who wants to learn data science techniques critical for tackling cybersecurity challenges, and for the data science student and professional who wants to learn about cybersecurity adaptations. Trying to build a malware detector, a phishing email detector, or just interested in finding patterns in your datasets? This book can let you do it on your own. Numerous examples and datasets links are included so that the reader can "learn by doing." Anyone with a basic college-level calculus course and some probability knowledge can easily understand most of the material. The book includes chapters containing: unsupervised learning, semi-supervised learning, supervised learning, text mining, natural language processing, and more. It also includes background on security, statistics, and linear algebra. The website for the book contains a listing of datasets, updates, and other resources for serious practitioners.

Big Data Analytics in Cybersecurity

Onur Savas,Julia Deng
Big Data Analytics in Cybersecurity Book PDF

Author : Onur Savas,Julia Deng
Publisher : CRC Press
Page : 336 pages
File Size : 40,9 Mb
Release : 2017-09-18
Category : Business & Economics
ISBN : 9781498772167

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Big Data Analytics in Cybersecurity by Onur Savas,Julia Deng Pdf

Big data is presenting challenges to cybersecurity. For an example, the Internet of Things (IoT) will reportedly soon generate a staggering 400 zettabytes (ZB) of data a year. Self-driving cars are predicted to churn out 4000 GB of data per hour of driving. Big data analytics, as an emerging analytical technology, offers the capability to collect, store, process, and visualize these vast amounts of data. Big Data Analytics in Cybersecurity examines security challenges surrounding big data and provides actionable insights that can be used to improve the current practices of network operators and administrators. Applying big data analytics in cybersecurity is critical. By exploiting data from the networks and computers, analysts can discover useful network information from data. Decision makers can make more informative decisions by using this analysis, including what actions need to be performed, and improvement recommendations to policies, guidelines, procedures, tools, and other aspects of the network processes. Bringing together experts from academia, government laboratories, and industry, the book provides insight to both new and more experienced security professionals, as well as data analytics professionals who have varying levels of cybersecurity expertise. It covers a wide range of topics in cybersecurity, which include: Network forensics Threat analysis Vulnerability assessment Visualization Cyber training. In addition, emerging security domains such as the IoT, cloud computing, fog computing, mobile computing, and cyber-social networks are examined. The book first focuses on how big data analytics can be used in different aspects of cybersecurity including network forensics, root-cause analysis, and security training. Next it discusses big data challenges and solutions in such emerging cybersecurity domains as fog computing, IoT, and mobile app security. The book concludes by presenting the tools and datasets for future cybersecurity research.

Security Analytics for the Internet of Everything

Mohuiddin Ahmed,Abu S.S.M Barkat Ullah,Al-Sakib Khan Pathan
Security Analytics for the Internet of Everything Book PDF

Author : Mohuiddin Ahmed,Abu S.S.M Barkat Ullah,Al-Sakib Khan Pathan
Publisher : CRC Press
Page : 275 pages
File Size : 49,8 Mb
Release : 2020-01-27
Category : Computers
ISBN : 9781000765847

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Security Analytics for the Internet of Everything by Mohuiddin Ahmed,Abu S.S.M Barkat Ullah,Al-Sakib Khan Pathan Pdf

Security Analytics for the Internet of Everything compiles the latest trends, technologies, and applications in this emerging field. It includes chapters covering emerging security trends, cyber governance, artificial intelligence in cybersecurity, and cyber challenges. Contributions from leading international experts are included. The target audience for the book is graduate students, professionals, and researchers working in the fields of cybersecurity, computer networks, communications, and the Internet of Everything (IoE). The book also includes some chapters written in a tutorial style so that general readers can easily grasp some of the ideas.

The NICE Cyber Security Framework

Izzat Alsmadi
The NICE Cyber Security Framework Book PDF

Author : Izzat Alsmadi
Publisher : Springer
Page : 354 pages
File Size : 40,8 Mb
Release : 2019-01-24
Category : Technology & Engineering
ISBN : 9783030023607

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The NICE Cyber Security Framework by Izzat Alsmadi Pdf

This textbook is for courses in cyber security education that follow National Initiative for Cybersecurity Education (NICE) KSAs work roles and framework, that adopt the Competency-Based Education (CBE) method. The book follows the CBT (KSA) general framework, meaning each chapter contains three sections, knowledge and questions, and skills/labs for Skills and Abilities. The author makes an explicit balance between knowledge and skills material in information security, giving readers immediate applicable skills. The book is divided into seven parts: Securely Provision; Operate and Maintain; Oversee and Govern; Protect and Defend; Analysis; Operate and Collect; Investigate. All classroom materials (in the book an ancillary) adhere to the NICE framework. Mirrors classes set up by the National Initiative for Cybersecurity Education (NICE) Adopts the Competency-Based Education (CBE) method of teaching, used by universities, corporations, and in government training Includes content and ancillaries that provide skill-based instruction on compliance laws, information security standards, risk response and recovery, and more

Secure Data Science

Bhavani Thuraisingham,Murat Kantarcioglu,Latifur Khan
Secure Data Science Book PDF

Author : Bhavani Thuraisingham,Murat Kantarcioglu,Latifur Khan
Publisher : CRC Press
Page : 430 pages
File Size : 43,8 Mb
Release : 2022-04-27
Category : Computers
ISBN : 9781000557510

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Secure Data Science by Bhavani Thuraisingham,Murat Kantarcioglu,Latifur Khan Pdf

Secure data science, which integrates cyber security and data science, is becoming one of the critical areas in both cyber security and data science. This is because the novel data science techniques being developed have applications in solving such cyber security problems as intrusion detection, malware analysis, and insider threat detection. However, the data science techniques being applied not only for cyber security but also for every application area—including healthcare, finance, manufacturing, and marketing—could be attacked by malware. Furthermore, due to the power of data science, it is now possible to infer highly private and sensitive information from public data, which could result in the violation of individual privacy. This is the first such book that provides a comprehensive overview of integrating both cyber security and data science and discusses both theory and practice in secure data science. After an overview of security and privacy for big data services as well as cloud computing, this book describes applications of data science for cyber security applications. It also discusses such applications of data science as malware analysis and insider threat detection. Then this book addresses trends in adversarial machine learning and provides solutions to the attacks on the data science techniques. In particular, it discusses some emerging trends in carrying out trustworthy analytics so that the analytics techniques can be secured against malicious attacks. Then it focuses on the privacy threats due to the collection of massive amounts of data and potential solutions. Following a discussion on the integration of services computing, including cloud-based services for secure data science, it looks at applications of secure data science to information sharing and social media. This book is a useful resource for researchers, software developers, educators, and managers who want to understand both the high level concepts and the technical details on the design and implementation of secure data science-based systems. It can also be used as a reference book for a graduate course in secure data science. Furthermore, this book provides numerous references that would be helpful for the reader to get more details about secure data science.

Meeting Security Challenges Through Data Analytics and Decision Support

E. Shahbazian,G. Rogova
Meeting Security Challenges Through Data Analytics and Decision Support Book PDF

Author : E. Shahbazian,G. Rogova
Publisher : IOS Press
Page : 352 pages
File Size : 46,8 Mb
Release : 2016-11-24
Category : Computers
ISBN : 9781614997160

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Meeting Security Challenges Through Data Analytics and Decision Support by E. Shahbazian,G. Rogova Pdf

The sheer quantity of widely diverse data which now results from multiple sources presents a problem for decision-makers and analysts, who are finding it impossible to cope with the ever-increasing flow of material. This has potentially serious consequences for the quality of decisions and operational processes in areas such as counterterrorism and security. This book presents the papers delivered at the NATO Advanced Research Workshop (ARW) 'Meeting Security Challenges through Data Analytics and Decision Support’, held in Aghveran, Armenia, in June 2015. The aim of the conference was to promote and enhance cooperation and dialogue between NATO and Partner countries on the subject of effective decision support for security applications. The attendance of many leading scientists from a variety of backgrounds and disciplines provided the opportunity to improve mutual understanding, as well as cognizance of the specific requirements and issues of Cyber Physical Social Systems (CPPS) and the technical advances pertinent to all collaborative human-centric information support systems in a variety of applications. The book is divided into 3 sections: counter terrorism: methodology and applications; maritime and border security; and cyber security, and will be of interest to all those involved in decision-making processes based on the analysis of big data.

Data Analytics for Cybersecurity

Vandana P. Janeja
Data Analytics for Cybersecurity Book PDF

Author : Vandana P. Janeja
Publisher : Cambridge University Press
Page : 207 pages
File Size : 47,8 Mb
Release : 2022-07-21
Category : Computers
ISBN : 9781108415279

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Data Analytics for Cybersecurity by Vandana P. Janeja Pdf

Shows how traditional and nontraditional methods such as anomaly detection and time series can be extended using data analytics.

Big Data Analytics and Intelligent Systems for Cyber Threat Intelligence

Yassine Maleh,Mamoun Alazab,Loai Tawalbeh,Imed Romdhani
Big Data Analytics and Intelligent Systems for Cyber Threat Intelligence Book PDF

Author : Yassine Maleh,Mamoun Alazab,Loai Tawalbeh,Imed Romdhani
Publisher : CRC Press
Page : 310 pages
File Size : 52,6 Mb
Release : 2023-04-28
Category : Computers
ISBN : 9781000846690

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Big Data Analytics and Intelligent Systems for Cyber Threat Intelligence by Yassine Maleh,Mamoun Alazab,Loai Tawalbeh,Imed Romdhani Pdf

In recent years, a considerable amount of effort has been devoted to cyber-threat protection of computer systems which is one of the most critical cybersecurity tasks for single users and businesses since even a single attack can result in compromised data and sufficient losses. Massive losses and frequent attacks dictate the need for accurate and timely detection methods. Current static and dynamic methods do not provide efficient detection, especially when dealing with zero-day attacks. For this reason, big data analytics and machine intelligencebased techniques can be used. This book brings together researchers in the field of big data analytics and intelligent systems for cyber threat intelligence CTI and key data to advance the mission of anticipating, prohibiting, preventing, preparing, and responding to internal security. The wide variety of topics it presents offers readers multiple perspectives on various disciplines related to big data analytics and intelligent systems for cyber threat intelligence applications. Technical topics discussed in the book include: • Big data analytics for cyber threat intelligence and detection • Artificial intelligence analytics techniques • Real-time situational awareness • Machine learning techniques for CTI • Deep learning techniques for CTI • Malware detection and prevention techniques • Intrusion and cybersecurity threat detection and analysis • Blockchain and machine learning techniques for CTI

Cybersecurity Data Science

Scott Mongeau,Andrzej Hajdasinski
Cybersecurity Data Science Book PDF

Author : Scott Mongeau,Andrzej Hajdasinski
Publisher : Springer Nature
Page : 410 pages
File Size : 51,9 Mb
Release : 2021-10-01
Category : Computers
ISBN : 9783030748968

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Cybersecurity Data Science by Scott Mongeau,Andrzej Hajdasinski Pdf

This book encompasses a systematic exploration of Cybersecurity Data Science (CSDS) as an emerging profession, focusing on current versus idealized practice. This book also analyzes challenges facing the emerging CSDS profession, diagnoses key gaps, and prescribes treatments to facilitate advancement. Grounded in the management of information systems (MIS) discipline, insights derive from literature analysis and interviews with 50 global CSDS practitioners. CSDS as a diagnostic process grounded in the scientific method is emphasized throughout Cybersecurity Data Science (CSDS) is a rapidly evolving discipline which applies data science methods to cybersecurity challenges. CSDS reflects the rising interest in applying data-focused statistical, analytical, and machine learning-driven methods to address growing security gaps. This book offers a systematic assessment of the developing domain. Advocacy is provided to strengthen professional rigor and best practices in the emerging CSDS profession. This book will be of interest to a range of professionals associated with cybersecurity and data science, spanning practitioner, commercial, public sector, and academic domains. Best practices framed will be of interest to CSDS practitioners, security professionals, risk management stewards, and institutional stakeholders. Organizational and industry perspectives will be of interest to cybersecurity analysts, managers, planners, strategists, and regulators. Research professionals and academics are presented with a systematic analysis of the CSDS field, including an overview of the state of the art, a structured evaluation of key challenges, recommended best practices, and an extensive bibliography.

Advances in Cyber Security Analytics and Decision Systems

Shishir K. Shandilya,Neal Wagner,Atulya K. Nagar
Advances in Cyber Security Analytics and Decision Systems Book PDF

Author : Shishir K. Shandilya,Neal Wagner,Atulya K. Nagar
Publisher : Springer Nature
Page : 153 pages
File Size : 48,8 Mb
Release : 2020-01-06
Category : Technology & Engineering
ISBN : 9783030193539

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Advances in Cyber Security Analytics and Decision Systems by Shishir K. Shandilya,Neal Wagner,Atulya K. Nagar Pdf

This book contains research contributions from leading cyber security scholars from around the world. The authors provide comprehensive coverage of various cyber security topics, while highlighting recent trends. The book also contains a compendium of definitions and explanations of concepts, processes, acronyms, and comprehensive references on existing literature and research on cyber security and analytics, information sciences, decision systems, digital forensics, and related fields. As a whole, the book is a solid reference for dynamic and innovative research in the field, with a focus on design and development of future-ready cyber security measures. Topics include defenses against ransomware, phishing, malware, botnets, insider threats, and many others.

Big Data Analytics with Applications in Insider Threat Detection

Bhavani Thuraisingham,Pallabi Parveen,Mohammad Mehedy Masud,Latifur Khan
Big Data Analytics with Applications in Insider Threat Detection Book PDF

Author : Bhavani Thuraisingham,Pallabi Parveen,Mohammad Mehedy Masud,Latifur Khan
Publisher : CRC Press
Page : 953 pages
File Size : 54,9 Mb
Release : 2017-11-22
Category : Computers
ISBN : 9781351645768

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Big Data Analytics with Applications in Insider Threat Detection by Bhavani Thuraisingham,Pallabi Parveen,Mohammad Mehedy Masud,Latifur Khan Pdf

Today's malware mutates randomly to avoid detection, but reactively adaptive malware is more intelligent, learning and adapting to new computer defenses on the fly. Using the same algorithms that antivirus software uses to detect viruses, reactively adaptive malware deploys those algorithms to outwit antivirus defenses and to go undetected. This book provides details of the tools, the types of malware the tools will detect, implementation of the tools in a cloud computing framework and the applications for insider threat detection.

Data Science in Cybersecurity and Cyberthreat Intelligence

Leslie F. Sikos,Kim-Kwang Raymond Choo
Data Science in Cybersecurity and Cyberthreat Intelligence Book PDF

Author : Leslie F. Sikos,Kim-Kwang Raymond Choo
Publisher : Springer Nature
Page : 140 pages
File Size : 51,6 Mb
Release : 2020-02-05
Category : Computers
ISBN : 9783030387884

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Data Science in Cybersecurity and Cyberthreat Intelligence by Leslie F. Sikos,Kim-Kwang Raymond Choo Pdf

This book presents a collection of state-of-the-art approaches to utilizing machine learning, formal knowledge bases and rule sets, and semantic reasoning to detect attacks on communication networks, including IoT infrastructures, to automate malicious code detection, to efficiently predict cyberattacks in enterprises, to identify malicious URLs and DGA-generated domain names, and to improve the security of mHealth wearables. This book details how analyzing the likelihood of vulnerability exploitation using machine learning classifiers can offer an alternative to traditional penetration testing solutions. In addition, the book describes a range of techniques that support data aggregation and data fusion to automate data-driven analytics in cyberthreat intelligence, allowing complex and previously unknown cyberthreats to be identified and classified, and countermeasures to be incorporated in novel incident response and intrusion detection mechanisms.