[PDF] Deployable Machine Learning For Security Defense - eBooks Review

Deployable Machine Learning For Security Defense


Deployable Machine Learning For Security Defense
DOWNLOAD

Download Deployable Machine Learning For Security Defense PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Deployable Machine Learning For Security Defense book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page



Deployable Machine Learning For Security Defense


Deployable Machine Learning For Security Defense
DOWNLOAD
Author : Gang Wang
language : en
Publisher: Springer Nature
Release Date : 2021-09-24

Deployable Machine Learning For Security Defense written by Gang Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-24 with Computers categories.


This book constitutes selected and extended papers from the Second International Workshop on Deployable Machine Learning for Security Defense, MLHat 2021, held in August 2021. Due to the COVID-19 pandemic the conference was held online. The 6 full papers were thoroughly reviewed and selected from 7 qualified submissions. The papers are organized in topical sections on machine learning for security, and malware attack and defense.



Deployable Machine Learning For Security Defense


Deployable Machine Learning For Security Defense
DOWNLOAD
Author : Gang Wang
language : en
Publisher: Springer
Release Date : 2020-10-18

Deployable Machine Learning For Security Defense written by Gang Wang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-18 with Computers categories.


This book constitutes selected papers from the First International Workshop on Deployable Machine Learning for Security Defense, MLHat 2020, held in August 2020. Due to the COVID-19 pandemic the conference was held online. The 8 full papers were thoroughly reviewed and selected from 13 qualified submissions. The papers are organized in the following topical sections: understanding the adversaries; adversarial ML for better security; threats on networks.



International Conference On Smart Systems And Advanced Computing Syscom 2022


International Conference On Smart Systems And Advanced Computing Syscom 2022
DOWNLOAD
Author : Nadia Nedjah
language : en
Publisher: Springer Nature
Release Date : 2025-03-16

International Conference On Smart Systems And Advanced Computing Syscom 2022 written by Nadia Nedjah and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-16 with Computers categories.


This book presents the International Conference on Smart Systems and Advanced Computing (SysCom 2022) that features scientific work on smart solution concepts. It covers collective computational intelligence, which encompasses smart device interactions, smart surroundings, and smart ability to interact, as well as information technology support for these areas. It concentrates on cutting-edge research and technologies in smart systems and advanced computing for intelligent autonomous systems. The objectives of SysCom 2022 are to provide a premier international platform for deliberations on strategies, recent trends, innovative approaches, discussions, and presentations on the most recent development in the field of smart system technology from the perspective of providing awareness and its best practices for the real world.



Utilizing Generative Ai For Cyber Defense Strategies


Utilizing Generative Ai For Cyber Defense Strategies
DOWNLOAD
Author : Jhanjhi, Noor Zaman
language : en
Publisher: IGI Global
Release Date : 2024-09-12

Utilizing Generative Ai For Cyber Defense Strategies written by Jhanjhi, Noor Zaman and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-12 with Computers categories.


As cyber threats become increasingly sophisticated, the need for innovative defense strategies becomes urgent. Generative artificial intelligence (AI) offers a revolutionary approach to enhance cybersecurity. By utilizing advanced algorithms, data analysis, and machine learning, generative AI can simulate complex attack scenarios, identify vulnerabilities, and develop proactive defense mechanisms while adapting to modern-day cyber-attacks. AI strengthens current organizational security while offering quick, effective responses to emerging threats. Decisive strategies are needed to integrate generative AI into businesses defense strategies and protect organizations from attacks, secure digital data, and ensure safe business processes. Utilizing Generative AI for Cyber Defense Strategies explores the utilization of generative AI tools in organizational cyber security and defense. Strategies for effective threat detection and mitigation are presented, with an emphasis on deep learning, artificial intelligence, and Internet of Things (IoT) technology. This book covers topics such as cyber security, threat intelligence, and behavior analysis, and is a useful resource for computer engineers, security professionals, business owners, government officials, data analysts, academicians, scientists, and researchers.



Applying Artificial Intelligence In Cybersecurity Analytics And Cyber Threat Detection


Applying Artificial Intelligence In Cybersecurity Analytics And Cyber Threat Detection
DOWNLOAD
Author : Shilpa Mahajan
language : en
Publisher: John Wiley & Sons
Release Date : 2024-03-22

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 2024-03-22 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.



Information Security Theory And Practice


Information Security Theory And Practice
DOWNLOAD
Author : Samia Bouzefrane
language : en
Publisher: Springer Nature
Release Date : 2024-06-17

Information Security Theory And Practice written by Samia Bouzefrane and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-17 with Computers categories.


This volume constitutes the refereed proceedings of the 14th IFIP WG 11.2 International Conference on Information Security Theory and Practices, WISTP 2024, held in Paris, France. The 12 full papers presented were carefully reviewed and selected from 30 submissions. The papers presented in this proceedings focus on emerging trends in security and privacy, including experimental studies of fielded systems while exploring the application of security technology, and highlighting successful system implementations.



Security And Information Technologies With Ai Internet Computing And Big Data Applications


Security And Information Technologies With Ai Internet Computing And Big Data Applications
DOWNLOAD
Author : George A. Tsihrintzis
language : en
Publisher: Springer Nature
Release Date : 2025-04-07

Security And Information Technologies With Ai Internet Computing And Big Data Applications written by George A. Tsihrintzis and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-07 with Computers categories.


The book presents selected papers from Second International Conference on Security and Information Technologies with AI, Internet Computing and Big-Data Applications (SITAIBA 2023), held at Chihlee University of Technology, New Taipei City during 7 – 9 December 2023. This book presents current research in information security, AI and deep learning applications, information processing, cyber-security and evidence investigations, and information hiding and cryptography.



Information Security Practice And Experience


Information Security Practice And Experience
DOWNLOAD
Author : Zhe Xia
language : en
Publisher: Springer Nature
Release Date : 2024-10-24

Information Security Practice And Experience written by Zhe Xia and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-24 with Computers categories.


This book constitutes the refereed proceedings of the 19th International Conference on Information Security Practice and Experience, ISPEC 2024, held in Wuhan, China, during October 25–27, 2024. The 22 full papers presented in this volume were carefully reviewed and selected from 70 submissions. They cover multiple topics of cyber security and applied cryptography. The main goal of ISPEC 2024 conference was to promote research on new information security technologies, including their applications and their integration with IT systems in various vertical sectors.



Strategic Innovations Of Ai And Ml For E Commerce Data Security


Strategic Innovations Of Ai And Ml For E Commerce Data Security
DOWNLOAD
Author : Kaur, Gaganpreet
language : en
Publisher: IGI Global
Release Date : 2024-09-13

Strategic Innovations Of Ai And Ml For E Commerce Data Security written by Kaur, Gaganpreet and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-13 with Business & Economics categories.


As e-commerce continues to increase in usage and popularity, safeguarding consumers private data becomes critical. Strategic innovations in artificial intelligence and machine learning revolutionize data security by offering advanced tools for threat detection and mitigation. Integrating AI and machine learning into their security solutions will allow businesses to build customer trust and maintain a competitive edge throughout the growing digital landscapes. A thorough examination of cutting-edge innovations in e-commerce data security may ensure security measures keep up with current technological advancements in the industry. Strategic Innovations of AI and ML for E-Commerce Data Security explores practical applications in data security, algorithms, and modelling. It examines solutions for securing e-commerce data, utilizing AI and machine learning for modelling techniques, and navigating complex algorithms. This book covers topics such as data science, threat detection, and cybersecurity, and is a useful resource for computer engineers, data scientists, business owners, academicians, scientists, and researchers.



Hci In Business Government And Organizations


Hci In Business Government And Organizations
DOWNLOAD
Author : Fiona Fui-Hoon Nah
language : en
Publisher: Springer Nature
Release Date : 2024-05-31

Hci In Business Government And Organizations written by Fiona Fui-Hoon Nah and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-31 with Computers categories.


This two-volume set of HCIBGO 2024 constitutes the refereed proceedings of the 11h International Conference on HCI in Business, Government and Organizations, held as part of the 26th International Conference, HCI International 2024, which took place in from June 29 - July 4, 2024 in Washington DC, USA. Two volumes of the HCII 2024 proceedings are dedicated to this year’s edition of the HCIBGO conference. The first covers topics related to Digital Commerce and Marketing, Artificial Intelligence in Business, and Workplace, Well-being and Productivity. The second focuses on topics related to Teleworking and Virtual Collaboration, and Improving User Experience and Service Efficiency.