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Ieee Proceedings Of The 2016 Joint Workshop On Cyber Physical Security And Resilience In Smart Grids Cpsr Sg
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Book Synopsis IEEE Proceedings of the 2016 Joint Workshop on Cyber-Physical Security and Resilience in Smart Grids (CPSR-SG) by : Anna Magdalena Kosek
Download or read book IEEE Proceedings of the 2016 Joint Workshop on Cyber-Physical Security and Resilience in Smart Grids (CPSR-SG) written by Anna Magdalena Kosek and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis 2016 Joint Workshop on Cyber Physical Security and Resilience in Smart Grids (CPSR SG) by : IEEE Staff
Download or read book 2016 Joint Workshop on Cyber Physical Security and Resilience in Smart Grids (CPSR SG) written by IEEE Staff and published by . This book was released on 2016-04-12 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Future power systems and smart grids will include a greater Information and Communication Technology (ICT) component, in order to support future energy services Whilst this prospect has many benefits, it also makes power systems and smart grids more vulnerable to cyber attacks and introduces increasingly critical dependencies between the cyber and physical domain of power systems The purpose of this workshop is to be a forum for discussion on the key challenges in ensuring the security and resilience of cyber physical smart grids This multi disciplinary workshop is being held at the Cyber Physical Systems week (CSPweek 2016) and is co organized by three major European funded research projects in the smart grid area, namely the SALVAGE, SEGRID and SPARKS projects The workshop will run for a full day and include a keynote speech plus regular paper presentations
Book Synopsis Data Analytics for Smart Grids Applications—A Key to Smart City Development by : Devendra Kumar Sharma
Download or read book Data Analytics for Smart Grids Applications—A Key to Smart City Development written by Devendra Kumar Sharma and published by Springer Nature. This book was released on 2024-01-03 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces big data analytics and corresponding applications in smart grids. The characterizations of big data, smart grids as well as a huge amount of data collection are first discussed as a prelude to illustrating the motivation and potential advantages of implementing advanced data analytics in smart grids. Basic concepts and the procedures of typical data analytics for general problems are also discussed. The advanced applications of different data analytics in smart grids are addressed as the main part of this book. By dealing with a huge amount of data from electricity networks, meteorological information system, geographical information system, etc., many benefits can be brought to the existing power system and improve customer service as well as social welfare in the era of big data. However, to advance the applications of big data analytics in real smart grids, many issues such as techniques, awareness, and synergies have to be overcome. This book provides deployment of semantic technologies in data analysis along with the latest applications across the field such as smart grids.
Book Synopsis Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track by : Yuxiao Dong
Download or read book Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track written by Yuxiao Dong and published by Springer Nature. This book was released on 2021-02-24 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 5-volume proceedings, LNAI 12457 until 12461 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, which was held during September 14-18, 2020. The conference was planned to take place in Ghent, Belgium, but had to change to an online format due to the COVID-19 pandemic. The 232 full papers and 10 demo papers presented in this volume were carefully reviewed and selected for inclusion in the proceedings. The volumes are organized in topical sections as follows: Part I: Pattern Mining; clustering; privacy and fairness; (social) network analysis and computational social science; dimensionality reduction and autoencoders; domain adaptation; sketching, sampling, and binary projections; graphical models and causality; (spatio-) temporal data and recurrent neural networks; collaborative filtering and matrix completion. Part II: deep learning optimization and theory; active learning; adversarial learning; federated learning; Kernel methods and online learning; partial label learning; reinforcement learning; transfer and multi-task learning; Bayesian optimization and few-shot learning. Part III: Combinatorial optimization; large-scale optimization and differential privacy; boosting and ensemble methods; Bayesian methods; architecture of neural networks; graph neural networks; Gaussian processes; computer vision and image processing; natural language processing; bioinformatics. Part IV: applied data science: recommendation; applied data science: anomaly detection; applied data science: Web mining; applied data science: transportation; applied data science: activity recognition; applied data science: hardware and manufacturing; applied data science: spatiotemporal data. Part V: applied data science: social good; applied data science: healthcare; applied data science: e-commerce and finance; applied data science: computational social science; applied data science: sports; demo track.
Book Synopsis Digitalization of Power Markets and Systems Using Energy Informatics by : Umit Cali
Download or read book Digitalization of Power Markets and Systems Using Energy Informatics written by Umit Cali and published by Springer Nature. This book was released on 2021-09-26 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: The objective of this textbook is to introduce students and professionals to fundamental principles and techniques and emerging technologies in energy informatics and the digitalization of power markets and systems. The book covers such areas as smart grids and artificial intelligence (AI) and distributed ledger technology (DLT), with a focus on information and communication technologies (ICT) deployed to modernize the electric energy infrastructure. It also provides an overview of the smart grid and its main components: smart grid applications at transmission, distribution, and customer level, network requirements with communications technologies, and standards and protocols. In addition, the book addresses emerging technologies and trends in next-generation power systems, i.e., energy informatics, such as digital green shift, energy cyber-physical-social systems (E-CPSS), energy IoT, energy blockchain, and advanced optimization. Future aspects of digitalized power markets and systems will be discussed with real-world energy informatics projects. The book is designed to be a core text in upper-undergraduate and graduate courses such as Introduction to Smart Grids, Digitalization of Power Systems, and Advanced Power System Topics in Energy Informatics.
Book Synopsis Data Exfiltration Threats and Prevention Techniques by : Zahir Tari
Download or read book Data Exfiltration Threats and Prevention Techniques written by Zahir Tari and published by John Wiley & Sons. This book was released on 2023-06-27 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: DATA EXFILTRATION THREATS AND PREVENTION TECHNIQUES Comprehensive resource covering threat prevention techniques for data exfiltration and applying machine learning applications to aid in identification and prevention Data Exfiltration Threats and Prevention Techniques provides readers the knowledge needed to prevent and protect from malware attacks by introducing existing and recently developed methods in malware protection using AI, memory forensic, and pattern matching, presenting various data exfiltration attack vectors and advanced memory-based data leakage detection, and discussing ways in which machine learning methods have a positive impact on malware detection. Providing detailed descriptions of the recent advances in data exfiltration detection methods and technologies, the authors also discuss details of data breach countermeasures and attack scenarios to show how the reader may identify a potential cyber attack in the real world. Composed of eight chapters, this book presents a better understanding of the core issues related to the cyber-attacks as well as the recent methods that have been developed in the field. In Data Exfiltration Threats and Prevention Techniques, readers can expect to find detailed information on: Sensitive data classification, covering text pre-processing, supervised text classification, automated text clustering, and other sensitive text detection approaches Supervised machine learning technologies for intrusion detection systems, covering taxonomy and benchmarking of supervised machine learning techniques Behavior-based malware detection using API-call sequences, covering API-call extraction techniques and detecting data stealing behavior based on API-call sequences Memory-based sensitive data monitoring for real-time data exfiltration detection and advanced time delay data exfiltration attack and detection Aimed at professionals and students alike, Data Exfiltration Threats and Prevention Techniques highlights a range of machine learning methods that can be used to detect potential data theft and identifies research gaps and the potential to make change in the future as technology continues to grow.
Book Synopsis IoT Security Paradigms and Applications by : Sudhir Kumar Sharma
Download or read book IoT Security Paradigms and Applications written by Sudhir Kumar Sharma and published by CRC Press. This book was released on 2020-10-07 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Integration of IoT (Internet of Things) with big data and cloud computing has brought forward numerous advantages and challenges such as data analytics, integration, and storage. This book highlights these challenges and provides an integrating framework for these technologies, illustrating the role of blockchain in all possible facets of IoT security. Furthermore, it investigates the security and privacy issues associated with various IoT systems along with exploring various machine learning-based IoT security solutions. This book brings together state-of-the-art innovations, research activities (both in academia and in industry), and the corresponding standardization impacts of 5G as well. Aimed at graduate students, researchers in computer science and engineering, communication networking, IoT, machine learning and pattern recognition, this book Showcases the basics of both IoT and various security paradigms supporting IoT, including Blockchain Explores various machine learning-based IoT security solutions and highlights the importance of IoT for industries and smart cities Presents various competitive technologies of Blockchain, especially concerned with IoT security Provides insights into the taxonomy of challenges, issues, and research directions in IoT-based applications Includes examples and illustrations to effectively demonstrate the principles, algorithm, applications, and practices of security in the IoT environment
Book Synopsis Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy by : Mukhdeep Singh Manshahia
Download or read book Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy written by Mukhdeep Singh Manshahia and published by Springer Nature. This book was released on 2023-06-14 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides readers with emerging research that explores the theoretical and practical aspects of implementing new and innovative artificial intelligence (AI) techniques for renewable energy systems. The contributions offer broad coverage on economic and promotion policies of renewable energy and energy-efficiency technologies, the emerging fields of neuro-computational models and simulations under uncertainty (such as fuzzy-based computational models and fuzzy trace theory), evolutionary computation, metaheuristics, machine learning applications, advanced optimization, and stochastic models. This book is a pivotal reference for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research in emerging perspectives in artificial intelligence, renewable energy systems, and energy autonomy.
Book Synopsis Methods to Assess and Manage Process Safety in Digitalized Process System by : Faisal Khan
Download or read book Methods to Assess and Manage Process Safety in Digitalized Process System written by Faisal Khan and published by Academic Press. This book was released on 2022-07-06 with total page 670 pages. Available in PDF, EPUB and Kindle. Book excerpt: Methods to Assess and Manage Process Safety in Digitalized Process System, Volume Six, the latest release in the Methods in Chemical Process Safety series, highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors. Provides the authority and expertise of leading contributors from an international board of authors Presents the latest release in the Methods in Chemical Process Safety series Provides the authority and expertise of leading contributors from an international board of authors
Book Synopsis Internet of Things, Smart Spaces, and Next Generation Networks and Systems by : Olga Galinina
Download or read book Internet of Things, Smart Spaces, and Next Generation Networks and Systems written by Olga Galinina and published by Springer Nature. This book was released on 2020-12-22 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the joint refereed proceedings of the 20th International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems, NEW2AN 2020, and the 13th Conference on Internet of Things and Smart Spaces, ruSMART 2020. The conference was held virtually due to the COVID-19 pandemic. The 79 revised full papers presented were carefully reviewed and selected from 225 submissions. The papers of NEW2AN address various aspects of next-generation data networks, with special attention to advanced wireless networking and applications. In particular, they deal with novel and innovative approaches to performance and efficiency analysis of 5G and beyond systems, employed game-theoretical formulations, advanced queuing theory, and stochastic geometry, while also covering the Internet of Things, cyber security, optics, signal processing, as well as business aspects. ruSMART 2020, provides a forum for academic and industrial researchers to discuss new ideas and trends in the emerging areas.
Book Synopsis The Effect of Information Technology on Business and Marketing Intelligence Systems by : Muhammad Alshurideh
Download or read book The Effect of Information Technology on Business and Marketing Intelligence Systems written by Muhammad Alshurideh and published by Springer Nature. This book was released on 2023-03-12 with total page 2536 pages. Available in PDF, EPUB and Kindle. Book excerpt: Business shapes have been changed these days. Change is the main dominant fact that change the way of business operations running. Topics such as innovation, entrepreneurship, leadership, blockchain, mobile business, social media, e-learning, machine learning, and artificial intelligence become essential to be considered by each institution within the technology era. This book tries to give additional views on how technologies influence business and marketing operations for insuring successful institutions survival. The world needs to develop management and intelligent business scenario plans that suite a variety of crisis appears these days. Also, business and marketing intelligence should meet government priorities in individual countries and minimise the risk of business disruptions. Business intelligence - the strategies and technology companies that use it to collect, interpret, and benefit from data - play a key role in informing company strategies, functions, and efficiency. However, being essential to the success, many companies are not taking advantage of tools that can improve their business intelligence efforts. Information technology become a core stone in business. For example, the combination of machine learning and business intelligence can have a far-reaching impact on the insights the company gets from its available data to improve productivity, quality, customer service and more. This book is important because it introduces a large number of chapters that discussed the implications of different Information technology applications in business. This book contains a set of volumes which are: 1- Social Marketing and Social Media Applications, 2- Social Marketing and Social Media Applications, 3- Business and Data Analytics, 4- Corporate governance and performance, 5- Innovation, Entrepreneurship and leadership, 6- Knowledge management, 7- Machine learning, IOT, BIG DATA, Block Chain and AI, 8- Marketing Mix, Services and Branding.
Book Synopsis Reinforcement Learning for Cyber-Physical Systems by : Chong Li
Download or read book Reinforcement Learning for Cyber-Physical Systems written by Chong Li and published by CRC Press. This book was released on 2019-02-22 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reinforcement Learning for Cyber-Physical Systems: with Cybersecurity Case Studies was inspired by recent developments in the fields of reinforcement learning (RL) and cyber-physical systems (CPSs). Rooted in behavioral psychology, RL is one of the primary strands of machine learning. Different from other machine learning algorithms, such as supervised learning and unsupervised learning, the key feature of RL is its unique learning paradigm, i.e., trial-and-error. Combined with the deep neural networks, deep RL become so powerful that many complicated systems can be automatically managed by AI agents at a superhuman level. On the other hand, CPSs are envisioned to revolutionize our society in the near future. Such examples include the emerging smart buildings, intelligent transportation, and electric grids. However, the conventional hand-programming controller in CPSs could neither handle the increasing complexity of the system, nor automatically adapt itself to new situations that it has never encountered before. The problem of how to apply the existing deep RL algorithms, or develop new RL algorithms to enable the real-time adaptive CPSs, remains open. This book aims to establish a linkage between the two domains by systematically introducing RL foundations and algorithms, each supported by one or a few state-of-the-art CPS examples to help readers understand the intuition and usefulness of RL techniques. Features Introduces reinforcement learning, including advanced topics in RL Applies reinforcement learning to cyber-physical systems and cybersecurity Contains state-of-the-art examples and exercises in each chapter Provides two cybersecurity case studies Reinforcement Learning for Cyber-Physical Systems with Cybersecurity Case Studies is an ideal text for graduate students or junior/senior undergraduates in the fields of science, engineering, computer science, or applied mathematics. It would also prove useful to researchers and engineers interested in cybersecurity, RL, and CPS. The only background knowledge required to appreciate the book is a basic knowledge of calculus and probability theory.
Book Synopsis National Cyber Summit (NCS) Research Track by : Kim-Kwang Raymond Choo
Download or read book National Cyber Summit (NCS) Research Track written by Kim-Kwang Raymond Choo and published by Springer Nature. This book was released on 2019-09-24 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: These proceedings gather papers presented at the Cyber Security Education Stream and Cyber Security Technology Stream of The National Cyber Summit’s Research Track, and report on the latest advances in areas ranging from software security to cyber attack detection and modeling; the use of machine learning in cyber security; legislation and policy; surveying small businesses; cyber competition, and so on. Understanding the latest capabilities in cyber security is the best way to prepare users and organizations for potential negative events. Consequently, this book will be of interest to cyber security researchers, educators and practitioners, as well as students who want to learn about cyber security.
Download or read book ICDSMLA 2019 written by Amit Kumar and published by Springer Nature. This book was released on 2020-05-19 with total page 2010 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected high-impact articles from the 1st International Conference on Data Science, Machine Learning & Applications 2019. It highlights the latest developments in the areas of Artificial Intelligence, Machine Learning, Soft Computing, Human–Computer Interaction and various data science & machine learning applications. It brings together scientists and researchers from different universities and industries around the world to showcase a broad range of perspectives, practices and technical expertise.
Book Synopsis Computer Security by : Sokratis Katsikas
Download or read book Computer Security written by Sokratis Katsikas and published by Springer Nature. This book was released on 2020-02-21 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed post-conference proceedings of the 5th International Workshop on Security of Industrial Control Systems and Cyber-Physical Systems, CyberICPS 2019, the Third International Workshop on Security and Privacy Requirements Engineering, SECPRE 2019, the First International Workshop on Security, Privacy, Organizations, and Systems Engineering, SPOSE 2019, and the Second International Workshop on Attacks and Defenses for Internet-of-Things, ADIoT 2019, held in Luxembourg City, Luxembourg, in September 2019, in conjunction with the 24th European Symposium on Research in Computer Security, ESORICS 2019. The CyberICPS Workshop received 13 submissions from which 5 full papers and 2 short papers were selected for presentation. They cover topics related to threats, vulnerabilities and risks that cyber-physical systems and industrial control systems face; cyber attacks that may be launched against such systems; and ways of detecting and responding to such attacks. From the SECPRE Workshop 9 full papers out of 14 submissions are included. The selected papers deal with aspects of security and privacy requirements assurance and evaluation; and security requirements elicitation and modelling and to GDPR compliance. The SPOSE Workshop received 7 submissions from which 3 full papers and 1 demo paper were accepted for publication. They demonstrate the possible spectrum for fruitful research at the intersection of security, privacy, organizational science, and systems engineering. From the ADIoT Workshop 5 full papers and 2 short papers out of 16 submissions are included. The papers focus on IoT attacks and defenses and discuss either practical or theoretical solutions to identify IoT vulnerabilities and IoT security mechanisms.
Book Synopsis Proceedings of the 2nd Workshop on Cyber-Physical Security and Resilience in Smart Grids by : Radu Marculescu
Download or read book Proceedings of the 2nd Workshop on Cyber-Physical Security and Resilience in Smart Grids written by Radu Marculescu and published by . This book was released on 2017-04-18 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: CPS Week '17: Cyber Physical Systems Week 2017 Apr 18, 2017-Apr 21, 2017 Pittsburgh, USA. You can view more information about this proceeding and all of ACM�s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl.
Book Synopsis Knowledge and Civil Society by : Johannes Glückler
Download or read book Knowledge and Civil Society written by Johannes Glückler and published by Springer Nature. This book was released on 2021-12-08 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book focuses on the role of civil society in the creation, dissemination, and interpretation of knowledge in geographical contexts. It offers original, interdisciplinary and counterintuitive perspectives on civil society. The book includes reflections on civil and uncivil society, the role of civil society as a change agent, and on civil society perspectives of undone science. Conceptual approaches go beyond the tripartite division of public, private and civic sectors to propose new frameworks of civic networks and philanthropic fields, which take an inclusive view of the connectivity of civic agency across sectors. This includes relational analyses of epistemic power in civic knowledge networks as well as of regional giving and philanthropy. The original empirical case studies examine traditional forms of civic engagement, such as the German landwomen’s associations, as well as novel types of organizations, such as giving circles and time banks in their geographical context. The book also offers insider reflections on doing civil society, such as the cases of the Umbrella Movement in Hong Kong, epistemic activism in the United States, and the #FeesMustFall movement in South Africa.
