Semantic Control For The Cybersecurity Domain

This book presents the creation of a bilingual thesaurus (Italian and English), and its conversion into an ontology system, oriented to the Cybersecurity field of knowledge term management and the identification of a replicable method over other specialized areas of study, through computational linguistics procedures, to a statistical and qualitative measurement of the terminological coverage threshold a controlled vocabulary is able to guarantee with respect to the semantic richness proper to the domain under investigation. The volume empowers readers to compile and study significant corpora documentations to support the text mining tasks and to establish a representativeness evaluation of the information retrieved. Through a description of several techniques belonging to the field of linguistics and knowledge engineering, this monograph provides a methodological account on how to enhance and update semantic monitoring tools reflecting a specialized lexicon as that of Cybersecurity to grant a reference semantic structure for domain-sector text classification tasks. This volume is a valuable reference to scholars of corpus-based studies, terminology, ICT, documentation and librarianship studies, text processing research, and distributional semantics area of interest as well as for professionals involved in Cybersecurity organizations.

This book presents the creation of a bilingual thesaurus (Italian and English), and its conversion into an ontology system, oriented to the Cybersecurity field of knowledge term management and the identification of a replicable method over other specialized areas of study, through computational linguistics procedures, to a statistical and qualitative measurement of the terminological coverage threshold a controlled vocabulary is able to guarantee with respect to the semantic richness proper to the domain under investigation. The volume empowers readers to compile and study significant corpora documentations to support the text mining tasks and to establish a representativeness evaluation of the information retrieved. Through a description of several techniques belonging to the field of linguistics and knowledge engineering, this monograph provides a methodological account on how to enhance and update semantic monitoring tools reflecting a specialized lexicon as that of Cybersecurity to grant a reference semantic structure for domain-sector text classification tasks. This volume is a valuable reference to scholars of corpus-based studies, terminology, ICT, documentation and librarianship studies, text processing research, and distributional semantics area of interest as well as for professionals involved in Cybersecurity organizations.

These Proceedings are the work of researchers contributing to the 10th International Conference on Cyber Warfare and Security ICCWS 2015, co hosted this year by the University of Venda and The Council for Scientific and Industrial Research. The conference is being held at the Kruger National Park, South Africa on the 24 25 March 2015. The Conference Chair is Dr Jannie Zaaiman from the University of Venda, South Africa, and the Programme Chair is Dr Louise Leenen from the Council for Scientific and Industrial Research, South Africa.

This book provides a comprehensive overview of the research on anomaly detection with respect to context and situational awareness that aim to get a better understanding of how context information influences anomaly detection. In each chapter, it identifies advanced anomaly detection and key assumptions, which are used by the model to differentiate between normal and anomalous behavior. When applying a given model to a particular application, the assumptions can be used as guidelines to assess the effectiveness of the model in that domain. Each chapter provides an advanced deep content understanding and anomaly detection algorithm, and then shows how the proposed approach is deviating of the basic techniques. Further, for each chapter, it describes the advantages and disadvantages of the algorithm. The final chapters provide a discussion on the computational complexity of the models and graph computational frameworks such as Google Tensorflow and H2O because it is an important issue in real application domains. This book provides a better understanding of the different directions in which research has been done on deep semantic analysis and situational assessment using deep learning for anomalous detection, and how methods developed in one area can be applied in applications in other domains. This book seeks to provide both cyber analytics practitioners and researchers an up-to-date and advanced knowledge in cloud based frameworks for deep semantic analysis and advanced anomaly detection using cognitive and artificial intelligence (AI) models.

Although cybersecurity is something of a latecomer on the computer science and engineering scene, there are now inclinations to consider cybersecurity a meta-discipline. Unlike traditional information and communication systems, the priority goal of the cybersecurity of cyber-physical systems is the provision of stable and reliable operation for the critical infrastructures of all fundamental societal functions and activities. This book, Cybersecurity for Critical Infrastructure Protection via Reflection of Industrial Control Systems, presents the 28 papers delivered at the NATO Advanced Research Workshop (ARW) hosted in Baku, Azerbaijan, and held online from 27-29 October 2021. The inspiration and motivation behind the ARW stem from the growth in large-scale cyber attacks, the rising degree of complexity and sophistication of advanced threats, and the need to protect critical infrastructure by promoting and building a resilient system to promote the well-being of all citizens. The workshop covered a wide range of cybersecurity topics, permeating the main ideas, concepts and paradigms behind ICS and blended with applications and practical exercises, with overtones to IoT, IIoT, ICS, artificial intelligence, and machine learning. Areas discussed during the ARW included the cybersecurity of critical infrastructures; its educational and research aspects; vulnerability analysis; ICS/PLC/SCADA test beds and research; intrusion detection, mitigation and prevention; cryptography; digital forensics for ICS/PLCs; Industry 4.0 robustness and trustworthiness; and Cyber Fortress concept infused with practical training. Investigating theoretical and practical problems involving the security of critical and essential infrastructure of each segment of contemporary societies, the book will be of interest to all those whose work involves cybersecurity.

Semantic Models in IoT and eHealth Applications explores the key role of semantic web modeling in eHealth technologies, including remote monitoring, mobile health, cloud data and biomedical ontologies. The book explores different challenges and issues through the lens of various case studies of healthcare systems currently adopting these technologies. Chapters introduce the concepts of semantic interoperability within a healthcare model setting and explore how semantic representation is key to classifying, analyzing and understanding the massive amounts of biomedical data being generated by connected medical devices. Continuous health monitoring is a strong solution which can provide eHealth services to a community through the use of IoT-based devices that collect sensor data for efficient health diagnosis, monitoring and treatment. All of this collected data needs to be represented in the form of ontologies which are considered the cornerstone of the Semantic Web for knowledge sharing, information integration and information extraction. Presents comprehensive coverage of advances in the application of semantic web in the field of eHealth Explores different challenges and issues through various case studies of healthcare systems that are adopting semantic web technologies Covers applications across a range of eHealth technologies, including remote monitoring and mobile health

This book gathers the latest research results of scientists from different countries who have made essential contributions to the novel analysis of cyber security. Addressing open problems in the cyber world, the book consists of two parts. Part I focuses on cyber operations as a new tool in global security policy, while Part II focuses on new cyber security technologies when building cyber power capabilities. The topics discussed include strategic perspectives on cyber security and cyber warfare, cyber security implementation, strategic communication, trusted computing, password cracking, systems security and network security among others.

Overview In this diploma course you will deal with the most important strategies and techniques in cyber security. Content - The Modern Strategies in the Cyber Warfare - Cyber Capabilities in Modern Warfare - Developing Political Response Framework to Cyber Hostilities - Cyber Security Strategy Implementation - Cyber Deterrence Theory and Practice - Data Stream Clustering for Application Layer DDos Detection in Encrypted Traffic - Domain Generation Algorithm Detection Using Machine Learning Methods - New Technologies in Password Cracking Techniques - Stopping Injection Attacks with Code and Structured Data - Cyber Security Cryptography and Machine Learning - Cyber Risk - And more Duration 3 months Assessment The assessment will take place on the basis of one assignment at the end of the course. Tell us when you feel ready to take the exam and we’ll send you the assignment questions. Study material The study material will be provided in separate files by email / download link.