Data Analytics And Decision Support For Cybersecurity


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Data Analytics and Decision Support for Cybersecurity


Data Analytics and Decision Support for Cybersecurity

Author: Iván Palomares Carrascosa

language: en

Publisher: Springer

Release Date: 2017-08-01


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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.

Meeting Security Challenges Through Data Analytics and Decision Support


Meeting Security Challenges Through Data Analytics and Decision Support

Author: E. Shahbazian

language: en

Publisher: IOS Press

Release Date: 2016-11-24


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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.

Cybersecurity, Cybercrimes, and Smart Emerging Technologies


Cybersecurity, Cybercrimes, and Smart Emerging Technologies

Author: Ahmed A. Abd El-Latif

language: en

Publisher: CRC Press

Release Date: 2025-07-11


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This book presents cutting-edge research and advancements in the rapidly evolving fields of cybersecurity, cybercrimes, and smart emerging technologies. It serves as a comprehensive reference guide for the latest trends and challenges in securing our digital world. It highlights critical themes such as the application of AI and machine learning in threat detection and automation, the security implications of blockchain and distributed ledger technologies, safeguarding critical infrastructure and the IoT, addressing data privacy and governance, and advancing malware analysis and detection techniques. It also delves into technological breakthroughs in deep learning for fake account detection, blockchain for secure data exchange, DDoS mitigation strategies, and novel approaches to malware analysis. These findings provide valuable insights into current and emerging cyber threats and effective countermeasures. This book is an essential resource for researchers, cybersecurity professionals, policymakers, and anyone seeking to understand the complex landscape of cybersecurity in the digital age.