Advanced Machine Learning For Cyber Attack Detection In Iot Networks
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Advanced Machine Learning For Cyber Attack Detection In Iot Networks
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Author : Dinh Thai Hoang
language : en
Publisher: Academic Press
Release Date : 2025-05-12
Advanced Machine Learning For Cyber Attack Detection In Iot Networks written by Dinh Thai Hoang and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-12 with Computers categories.
Advanced Machine Learning for Cyber-Attack Detection in IoT Networks analyzes diverse machine learning techniques, including supervised, unsupervised, reinforcement, and deep learning, along with their applications in detecting and preventing cyberattacks in future IoT systems. Chapters investigate the key challenges and vulnerabilities found in IoT security, how to handle challenges in data collection and pre-processing specific to IoT environments, as well as what metrics to consider for evaluating the performance of machine learning models. Other sections look at the training, validation, and evaluation of supervised learning models and present case studies and examples that demonstrate the application of supervised learning in IoT security. - Presents a comprehensive overview of research on IoT security threats and potential attacks - Investigates machine learning techniques, their mathematical foundations, and their application in cybersecurity - Presents metrics for evaluating the performance of machine learning models as well as benchmark datasets and evaluation frameworks for assessing IoT systems
Security Of Information And Networks
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Author : Atilla Eli
language : en
Publisher: Trafford Publishing
Release Date : 2008
Security Of Information And Networks written by Atilla Eli and has been published by Trafford Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Computers categories.
This book is a select collection of edited papers from the International Conference on Security of Information and Networks (SIN 2007) on the main theme of Information Assurance, Security, and Public Policy. SIN 2007 was hosted by the Eastern Mediterranean University in Gazimagusa, North Cyprus and co-organized by the Istanbul Technical University, Turkey. While SIN 2007 covered all areas of information and network security, the papers included here focused on the following topics: - cryptology: design and analysis of cryptographic algorithms, hardware and software implementations of cryptographic algorithms, and steganography; - network security: authentication, authorization and access control, privacy, intrusion detection, grid security, and mobile and personal area networks; - IT governance: information security management systems, risk and threat analysis, and information security policies. They represent an interesting mix of innovative academic research and experience reports from practitioners. This is further complemented by a number of invited papers providing excellent overviews: - Elisabeth Oswald, University of Bristol, Bristol, UK: Power Analysis Attack: A Very Brief Introduction; - Marc Joye, Thomson R&D, France: On White-Box Cryptography; - Bart Preneel, Katholieke Universiteit Leuven, Leuven, Belgium: Research Challenges in Cryptology; - Mehmet Ufuk Caglayan, Bogazici University, Turkey: Secure Routing in Ad Hoc Networks and Model Checking. The papers are organized in a logical sequence covering Ciphers; Mobile Agents & Networks; Access Control and Security Assurance; Attacks, Intrusion Detection, and Security Recommendations; and, Security Software, Performance, and Experience.
Industrial Internet Of Things And Cyber Physical Systems Transforming The Conventional To Digital
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Author : Kumar, Pardeep
language : en
Publisher: IGI Global
Release Date : 2020-05-22
Industrial Internet Of Things And Cyber Physical Systems Transforming The Conventional To Digital written by Kumar, Pardeep and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-22 with Computers categories.
With the help of artificial intelligence, machine learning, and big data analytics, the internet of things (IoT) is creating partnerships within industry where machines, processes, and humans communicate with one another. As this radically changes traditional industrial operations, this results in the rapid design, cheap manufacture, and effective customization of products. Answering the growing demand of customers and their preferences has become a challenge for such partnerships. Industrial Internet of Things and Cyber-Physical Systems: Transforming the Conventional to Digital is a collection of innovative research that discusses development, implementation, and business impacts of IoT technologies on sustainable societal development and improved life quality. Highlighting a wide range of topics such as green technologies, wireless networks, and IoT policy, this book is ideally designed for technology developers, entrepreneurs, industrialists, programmers, engineers, technicians, researchers, academicians, and students.
Applying Artificial Intelligence In Cybersecurity Analytics And Cyber Threat Detection
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Author : Shilpa Mahajan
language : en
Publisher: John Wiley & Sons
Release Date : 2024-04-02
Applying Artificial Intelligence In Cybersecurity Analytics And Cyber Threat Detection written by Shilpa Mahajan and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-02 with Computers categories.
APPLYING ARTIFICIAL INTELLIGENCE IN CYBERSECURITY ANALYTICS AND CYBER THREAT DETECTION Comprehensive resource providing strategic defense mechanisms for malware, handling cybercrime, and identifying loopholes using artificial intelligence (AI) and machine learning (ML) Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection is a comprehensive look at state-of-the-art theory and practical guidelines pertaining to the subject, showcasing recent innovations, emerging trends, and concerns as well as applied challenges encountered, and solutions adopted in the fields of cybersecurity using analytics and machine learning. The text clearly explains theoretical aspects, framework, system architecture, analysis and design, implementation, validation, and tools and techniques of data science and machine learning to detect and prevent cyber threats. Using AI and ML approaches, the book offers strategic defense mechanisms for addressing malware, cybercrime, and system vulnerabilities. It also provides tools and techniques that can be applied by professional analysts to safely analyze, debug, and disassemble any malicious software they encounter. With contributions from qualified authors with significant experience in the field, Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection explores topics such as: Cybersecurity tools originating from computational statistics literature and pure mathematics, such as nonparametric probability density estimation, graph-based manifold learning, and topological data analysis Applications of AI to penetration testing, malware, data privacy, intrusion detection system (IDS), and social engineering How AI automation addresses various security challenges in daily workflows and how to perform automated analyses to proactively mitigate threats Offensive technologies grouped together and analyzed at a higher level from both an offensive and defensive standpoint Providing detailed coverage of a rapidly expanding field, Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection is an essential resource for a wide variety of researchers, scientists, and professionals involved in fields that intersect with cybersecurity, artificial intelligence, and machine learning.
Protecting User Privacy In Web Search Utilization
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Author : Khan, Rafi Ullah
language : en
Publisher: IGI Global
Release Date : 2023-04-25
Protecting User Privacy In Web Search Utilization written by Khan, Rafi Ullah and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-25 with Computers categories.
Online user privacy is a delicate issue that has been unfortunately overlooked by technology corporations and especially the public since the birth of the internet. Many online businesses and services such as web search engines, retailers, and social network sites exploit user data for profit. There is a misconception among people about the term “privacy.” Usually, people think that privacy is the ability of an individual to isolate themselves or that it is a person’s right to control access to their personal information. However, privacy is not just about revealing secret information; it also includes exploiting user personal data, as the exploitation of personal data may lead to disastrous consequences. Protecting User Privacy in Web Search Utilization presents both multidisciplinary and interdisciplinary works on questions related to experiences and phenomena that can or could be covered by concepts regarding the protection and privacy of web service users. It further highlights the importance of web search privacy to the readers and educates them about recent developments in the field. Covering topics such as AI-based intrusion detection, desktop search engines, and privacy risks, this premier reference source is an essential resource for students and educators of higher education, data experts, privacy professionals and engineers, IT managers, software developers, government officials, archivists and librarians, privacy rights activists, researchers, and academicians.
Future Data And Security Engineering Big Data Security And Privacy Smart City And Industry 4 0 Applications
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Author : Tran Khanh Dang
language : en
Publisher: Springer Nature
Release Date : 2024-11-26
Future Data And Security Engineering Big Data Security And Privacy Smart City And Industry 4 0 Applications written by Tran Khanh Dang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-26 with Computers categories.
This two-volume set CCIS 2309-2310 constitutes the refereed proceedings of the 11th International Conference on Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, FDSE 2024, held in Binh Duong, Vietnam, during November 27–29, 2024. The 44 full papers, 12 short papers and 1 keynote paper were carefully reviewed and selected from 189 submissions. They were organized in topical sections as follows: advances in machine learning for big data analytics; security and privacy engineering; data analytics and healthcare systems; smart city and industry 4.0 applications; big data query processing and optimization; and short papers; security and data engineering.
Advanced Data Mining And Applications
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Author : Quan Z. Sheng
language : en
Publisher: Springer Nature
Release Date : 2024-12-23
Advanced Data Mining And Applications written by Quan Z. Sheng and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-23 with Computers categories.
This six-volume set, LNAI 15387-15392, constitutes the refereed proceedings of the 20th International Conference on Advanced Data Mining and Applications, ADMA 2024, held in Sydney, New South Wales, Australia, during December 3–5, 2024. The 159 full papers presented here were carefully reviewed and selected from 422 submissions. These papers have been organized under the following topical sections across the different volumes: - Part I : Applications; Data mining. Part II : Data mining foundations and algorithms; Federated learning; Knowledge graph. Part III : Graph mining; Spatial data mining. Part IV : Health informatics. Part V : Multi-modal; Natural language processing. Part VI : Recommendation systems; Security and privacy issues.
Ai Machine Learning And Deep Learning
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Author : Fei Hu
language : en
Publisher: CRC Press
Release Date : 2023-06-05
Ai Machine Learning And Deep Learning written by Fei Hu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-05 with Computers categories.
Today, Artificial Intelligence (AI) and Machine Learning/ Deep Learning (ML/DL) have become the hottest areas in information technology. In our society, many intelligent devices rely on AI/ML/DL algorithms/tools for smart operations. Although AI/ML/DL algorithms and tools have been used in many internet applications and electronic devices, they are also vulnerable to various attacks and threats. AI parameters may be distorted by the internal attacker; the DL input samples may be polluted by adversaries; the ML model may be misled by changing the classification boundary, among many other attacks and threats. Such attacks can make AI products dangerous to use. While this discussion focuses on security issues in AI/ML/DL-based systems (i.e., securing the intelligent systems themselves), AI/ML/DL models and algorithms can actually also be used for cyber security (i.e., the use of AI to achieve security). Since AI/ML/DL security is a newly emergent field, many researchers and industry professionals cannot yet obtain a detailed, comprehensive understanding of this area. This book aims to provide a complete picture of the challenges and solutions to related security issues in various applications. It explains how different attacks can occur in advanced AI tools and the challenges of overcoming those attacks. Then, the book describes many sets of promising solutions to achieve AI security and privacy. The features of this book have seven aspects: This is the first book to explain various practical attacks and countermeasures to AI systems Both quantitative math models and practical security implementations are provided It covers both "securing the AI system itself" and "using AI to achieve security" It covers all the advanced AI attacks and threats with detailed attack models It provides multiple solution spaces to the security and privacy issues in AI tools The differences among ML and DL security and privacy issues are explained Many practical security applications are covered
Wireless Artificial Intelligent Computing Systems And Applications
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Author : Zhipeng Cai
language : en
Publisher: Springer Nature
Release Date : 2024-11-12
Wireless Artificial Intelligent Computing Systems And Applications written by Zhipeng Cai and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-12 with Technology & Engineering categories.
The three-volume proceedings set LNCS 14997-14999 constitutes the refereed proceedings of the 18th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2024, held in Qindao, China, during June 21–23, 2024. The 98 full papers and 10 short papers included in these proceedings were carefully reviewed and selected from 301 submissions. They focus on cutting-edge ideas, research findings, and innovative solutions in the dynamic intersection of wireless technologies and artificial intelligence (AI) computing systems.
Handbook Of Big Data Analytics And Forensics
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Author : Kim-Kwang Raymond Choo
language : en
Publisher: Springer Nature
Release Date : 2021-12-02
Handbook Of Big Data Analytics And Forensics written by Kim-Kwang Raymond Choo and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-02 with Computers categories.
This handbook discusses challenges and limitations in existing solutions, and presents state-of-the-art advances from both academia and industry, in big data analytics and digital forensics. The second chapter comprehensively reviews IoT security, privacy, and forensics literature, focusing on IoT and unmanned aerial vehicles (UAVs). The authors propose a deep learning-based approach to process cloud’s log data and mitigate enumeration attacks in the third chapter. The fourth chapter proposes a robust fuzzy learning model to protect IT-based infrastructure against advanced persistent threat (APT) campaigns. Advanced and fair clustering approach for industrial data, which is capable of training with huge volume of data in a close to linear time is introduced in the fifth chapter, as well as offering an adaptive deep learning model to detect cyberattacks targeting cyber physical systems (CPS) covered in the sixth chapter. The authors evaluate the performance of unsupervised machine learning for detecting cyberattacks against industrial control systems (ICS) in chapter 7, and the next chapter presents a robust fuzzy Bayesian approach for ICS’s cyber threat hunting. This handbook also evaluates the performance of supervised machine learning methods in identifying cyberattacks against CPS. The performance of a scalable clustering algorithm for CPS’s cyber threat hunting and the usefulness of machine learning algorithms for MacOS malware detection are respectively evaluated. This handbook continues with evaluating the performance of various machine learning techniques to detect the Internet of Things malware. The authors demonstrate how MacOSX cyberattacks can be detected using state-of-the-art machine learning models. In order to identify credit card frauds, the fifteenth chapter introduces a hybrid model. In the sixteenth chapter, the editors propose a model that leverages natural language processing techniques for generating a mapping between APT-related reports and cyber kill chain. A deep learning-based approach to detect ransomware is introduced, as well as a proposed clustering approach to detect IoT malware in the last two chapters. This handbook primarily targets professionals and scientists working in Big Data, Digital Forensics, Machine Learning, Cyber Security Cyber Threat Analytics and Cyber Threat Hunting as a reference book. Advanced level-students and researchers studying and working in Computer systems, Computer networks and Artificial intelligence will also find this reference useful.