Secure Knowledge Management In Artificial Intelligence Era
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Secure Knowledge Management In The Artificial Intelligence Era by Ram Krishnan,H. Raghav Rao,Sanjay K. Sahay,Sagar Samtani,Ziming Zhao Pdf
This book constitutes the refereed proceedings of the 9th International Conference On Secure Knowledge Management In Artificial Intelligence Era, SKM 2021, held in San Antonio, TX, USA, in 2021. Due to the COVID-19 pandemic the conference was held online. The 11 papers presented were carefully reviewed and selected from 30 submissions. They were organized according to the following topical sections: intrusion and malware detection; secure knowledge management; deep learning for security; web and social network.
Secure Knowledge Management In The Artificial Intelligence Era by Ram Krishnan,H. Raghav Rao,Sanjay K. Sahay,Sagar Samtani,Ziming Zhao Pdf
This book constitutes the refereed proceedings of the 9th International Conference On Secure Knowledge Management In Artificial Intelligence Era, SKM 2021, held in San Antonio, TX, USA, in 2021. Due to the COVID-19 pandemic the conference was held online. The 11 papers presented were carefully reviewed and selected from 30 submissions. They were organized according to the following topical sections: intrusion and malware detection; secure knowledge management; deep learning for security; web and social network.
Secure Knowledge Management In Artificial Intelligence Era by Sanjay K. Sahay,Nihita Goel,Vishwas Patil,Murtuza Jadliwala Pdf
This book constitutes the refereed proceedings of the 8th International Conference On Secure Knowledge Management In Artificial Intelligence Era, SKM 2019, held in Goa, India, in December 2019. The 12 full papers presented were carefully reviewed and selected from 34 submissions. They were organized according to the following topical sections: cyber security; security and artifcial intelligence; access control models; and social networks.
Knowledge Management by Irma Becerra-Fernandez,Rajiv Sabherwal,Richard Kumi Pdf
Knowledge Management: Systems and Processes in the AI Era, Third Edition, is aimed at students and managers who seek detailed insights into contemporary knowledge management (KM). It explains the concepts, theories, and technologies that provide the foundation for knowledge management; the systems and structures that constitute KM solutions; and the processes for developing, deploying, and evaluating these KM solutions. This book serves as a complete introduction to the subject of knowledge management, incorporating technical and social aspects, as well as concepts, practical examples, traditional KM approaches, and emerging topics. This third edition has been revised and expanded to include more coverage of emergent trends such as cloud computing, online communities, crowdsourcing, and artificial intelligence. Aimed at advanced undergraduate, postgraduate, and MBA students who are seeking a comprehensive perspective on knowledge management, Knowledge Management is also complemented by online support for lecturers including suggested solutions to the many review questions and application exercises contained within the book.
AI-empowered Knowledge Management by Soumi Majumder,Nilanjan Dey Pdf
This book is focused on AI-empowered knowledge management to improve processes, implementation of technology for providing easy access to knowledge and the impact of knowledge management to promote the platform for generation of new knowledge through continuous learning. The book discusses process of knowledge management which includes entirety of the creation, distribution, and maintenance of knowledge to achieve organizational objectives. It also covers knowledge management tools which enable and enhance knowledge creation, codification, and transfer within business firms thereby reducing the burden of work and allowing application of resources and effective usage towards practical tasks. An immense growth of artificial intelligence in business organizations has occurred and AI-empowered knowledge management practice is leading towards growth and development of the organization.
Illumination of Artificial Intelligence in Cybersecurity and Forensics by Sanjay Misra,Chamundeswari Arumugam Pdf
This book covers a variety of topics that span from industry to academics: hybrid AI model for IDS in IoT, intelligent authentication framework for IoMT mobile devices for extracting bioelectrical signals, security audit in terms of vulnerability analysis to protect the electronic medical records in healthcare system using AI, classification using CNN a multi-face recognition attendance system with anti-spoofing capability, challenges in face morphing attack detection, a dimensionality reduction and feature-level fusion technique for morphing attack detection (MAD) systems, findings and discussion on AI-assisted forensics, challenges and open issues in the application of AI in forensics, a terrorist computational model that uses Baum–Welch optimization to improve the intelligence and predictive accuracy of the activities of criminal elements, a novel method for detecting security violations in IDSs, graphical-based city block distance algorithm method for E-payment systems, image encryption, and AI methods in ransomware mitigation and detection. It assists the reader in exploring new research areas, wherein AI can be applied to offer solutions through the contribution from researchers and academia.
Information Security Handbook by Noor Zaman Jhanjhi,Khalid Hussain,Mamoona Humayun,Azween Bin Abdullah,João Manuel R.S. Tavares Pdf
This handbook provides a comprehensive collection of knowledge for emerging multidisciplinary research areas such as cybersecurity, IoT, Blockchain, Machine Learning, Data Science, and AI. This book brings together, in one resource, information security across multiple domains. Information Security Handbook addresses the knowledge for emerging multidisciplinary research. It explores basic and high-level concepts and serves as a manual for industry while also helping beginners to understand both basic and advanced aspects in security-related issues. The handbook explores security and privacy issues through the IoT ecosystem and implications to the real world and, at the same time, explains the concepts of IoT-related technologies, trends, and future directions. University graduates and postgraduates, as well as research scholars, developers, and end-users, will find this handbook very useful.
Cross-Industry Applications of Cyber Security Frameworks by Baral, Sukanta Kumar,Goel, Richa,Rahman, Md Mashiur,Sultan, Jahangir,Jahan, Sarkar Pdf
Data is the most important commodity, which is why data protection has become a global priority. Data breaches and security flaws can jeopardize the global economy. Organizations face a greater risk of failing to achieve strategy and business goals as cyber threat behavior grows in frequency, sophistication, and destructiveness. A breach can result in data loss, business interruption, brand and reputation harm, as well as regulatory and legal consequences. A company needs a well-thought-out cybersecurity strategy to secure its critical infrastructure and information systems in order to overcome these challenges. Cross-Industry Applications of Cyber Security Frameworks provides an understanding of the specific, standards-based security controls that make up a best practice cybersecurity program. It is equipped with cross-industry applications of cybersecurity frameworks, best practices for common practices, and suggestions that may be highly relevant or appropriate in every case. Covering topics such as legal frameworks, cybersecurity in FinTech, and open banking, this premier reference source is an essential resource for executives, business leaders, managers, entrepreneurs, IT professionals, government officials, hospital administrators, educational administrators, privacy specialists, researchers, and academicians.
Advances in Computational Intelligence and Communication by Manolo Dulva Hina,Amar Ramdane-Cherif,Rafik Zitouni,Assia Soukane Pdf
This book presents select papers from the 2nd EAI International Conference on Computational Intelligence and Communications (CICom 2021). The papers reveal recent advances in the broader domains of Computational Intelligence including (1) automation, control, and intelligent transportation system; (2) big data, Internet of Things, and smart cities; (3) wireless communication systems and cyber security and; (4) human/brain-computer interfaces, and image and pattern recognition. The book demonstrates complex real-world problems in which mathematical or traditional modelling are not the preferred solution and posits alternative solutions. This collection of applications demonstrates the important advances in computational intelligence. The chapters present various ideas that will benefit researchers, graduate students and engineers in this domain.
Cyberspace Safety and Security by Weizhi Meng,Mauro Conti Pdf
The LNCS 13172 constitute the proceedings of the 13th International Symposium on Cyberspace Safety and Security, CSS 2021, held online, in November 2021. The 9 full papers and 5 short papers presented in this book were carefully reviewed and selected from 35 submissions. The conference focuses on Cyberspace Safety and Security, such as authentication, access control, availability, integrity, privacy, confidentiality, dependability and sustainability issues of cyberspace.
Deep Learning Research Applications for Natural Language Processing by Ashok Kumar, L.,Karthika Renuka, Dhanaraj,Geetha, S. Pdf
Humans have the most advanced method of communication, which is known as natural language. While humans can use computers to send voice and text messages to each other, computers do not innately know how to process natural language. In recent years, deep learning has primarily transformed the perspectives of a variety of fields in artificial intelligence (AI), including speech, vision, and natural language processing (NLP). The extensive success of deep learning in a wide variety of applications has served as a benchmark for the many downstream tasks in AI. The field of computer vision has taken great leaps in recent years and surpassed humans in tasks related to detecting and labeling objects thanks to advances in deep learning and neural networks. Deep Learning Research Applications for Natural Language Processing explains the concepts and state-of-the-art research in the fields of NLP, speech, and computer vision. It provides insights into using the tools and libraries in Python for real-world applications. Covering topics such as deep learning algorithms, neural networks, and advanced prediction, this premier reference source is an excellent resource for computational linguists, software engineers, IT managers, computer scientists, students and faculty of higher education, libraries, researchers, and academicians.
Rising Threats in Expert Applications and Solutions by Vijay Singh Rathore,Subhash Chander Sharma,Joao Manuel R.S. Tavares,Catarina Moreira,B. Surendiran Pdf
The book presents high-quality, peer-reviewed papers from the FICR International Conference on Rising Threats in Expert Applications and Solutions 2022 organized by IIS (Deemed to be University), Jaipur, Rajasthan, India, during January 7–8, 2022. The volume is a collection of innovative ideas from researchers, scientists, academicians, industry professionals, and students. The book covers a variety of topics, such as expert applications and artificial intelligence/machine learning; advance web technologies such as IoT, big data, cloud computing in expert applications; information and cyber security threats and solutions, multimedia applications in forensics, security and intelligence; advancements in app development; management practices for expert applications; and social and ethical aspects in expert applications through applied sciences.
Blockchain in Healthcare by Stanislaw Stawicki Pdf
Blockchain technology (BT) is quietly transforming the world, from financial infrastructure, to the internet-of-things, to healthcare applications. With increasing penetration of BT into various areas of our daily lives, the need arises for better awareness and greater knowledge about the capabilities, benefits, risks, and alternatives to distributed ledger applications. It is hoped that current book will be one of the pioneering collections focusing on blockchain implementations in the area of healthcare, with specific aim to present content in an easy-to-understand and readily accessible way for typical end-users of blockchain-based applications. There are important areas within the fabric of modern healthcare that stand to benefit from implementations of BT. These areas include electronic medical records, quality control, patient safety, finance, device tracking, biostamping/biocertification, redundant storage of critical data, health and liability insurance, medication utilization tracking (including opioid and antibiotic misuse), financial transactions, academics/education, asset tokenization, public health and pandemics, healthcare provider credentialing, and many other potential applications. The ultimate goal of the proposed book would be to provide an integrative, easy-to-understand, and comprehensive picture of the current state of blockchain use in healthcare while actively engaging the reader in a forward-looking, exploratory approach toward future developments in this space. To accomplish this goal, an expert panel of contributors has been assembled, featuring scholars from top global universities and think-tanks.
Data Protection and Privacy in Healthcare by Ahmed Elngar,Ambika Pawar,Prathamesh Churi Pdf
The Healthcare industry is one of the largest and rapidly developing industries. Over the last few years, healthcare management is changing from disease centered to patient centered. While on one side the analysis of healthcare data plays an important role in healthcare management, but on the other side the privacy of a patient’s record must be of equal concern. This book uses a research-oriented approach and focuses on privacy-based healthcare tools and technologies. It offers details on privacy laws with real-life case studies and examples, and addresses privacy issues in newer technologies such as Cloud, Big Data, and IoT. It discusses the e-health system and preserving its privacy, and the use of wearable technologies for patient monitoring, data streaming and sharing, and use of data analysis to provide various health services. This book is written for research scholars, academicians working in healthcare and data privacy domains, as well as researchers involved with healthcare law, and those working at facilities in security and privacy domains. Students and industry professionals, as well as medical practitioners might also find this book of interest.
Reporting Conflicts, Humanitarian Crises and Peace Processes by Tedla Desta Pdf
This book analyses how humanitarian crises, conflicts, and peace processes in the Horn of Africa (HoA) were covered by two different media outlets, the Daily Nation (DN) and the Integrated Regional Information Network (IRIN), currently known as The New Humanitarian. The author develops a new framework called the Four-Part Framework, and examines the coverage of humanitarian crises, conflicts and peace processes, particularly conflicts and peace processes in Kenya, Sudan and South Sudan. Regional conflict and media situations are also discussed in the book, as well as important recommendations that could be applicable in similar situations in other locations.
