Predicting The Unknown Machine Learning For Zero Day Vulnerability Detection A Data Driven Approach To Securing The Future
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Predicting The Unknown Machine Learning For Zero Day Vulnerability Detection A Data Driven Approach To Securing The Future
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Author : Hariprasad Sivaraman
language : en
Publisher: Libertatem Media Private Limited
Release Date : 2022-07-15
Predicting The Unknown Machine Learning For Zero Day Vulnerability Detection A Data Driven Approach To Securing The Future written by Hariprasad Sivaraman and has been published by Libertatem Media Private Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-15 with Computers categories.
Zero-day vulnerabilities pose one of the most pressing cybersecurity threats, allowing attackers to exploit software flaws before security teams can respond. Predicting the Unknown: Machine Learning for Zero- Day Vulnerability Detection presents a cutting-edge approach to combating these threats using AI-driven techniques, empowering security professionals with proactive defense strategies. This book explores the limitations of traditional security models—such as signature-based and heuristic detection—and highlights how machine learning (ML) is transforming zero-day threat detection. Readers will discover how ML models, including anomaly detection, supervised and unsupervised learning, and reinforcement learning, can analyze vast datasets of network traffic and system logs to identify emerging vulnerabilities before they are exploited. From feature engineering and real-time anomaly detection to adversarial machine learning and evasion tactics, Predicting the Unknown delves into the core components of AI-powered cybersecurity. The book also examines advanced ML techniques like deep learning and reinforcement learning, showcasing their role in dynamic threat mitigation. Packed with case studies, technical insights, and future trends—including the integration of quantum computing and explainable AI—this book provides a comprehensive roadmap for security professionals, data scientists, and researchers. Whether you're looking to strengthen enterprise defenses or pioneer nextgeneration cybersecurity solutions, Predicting the Unknown equips you with the tools to stay ahead of evolving cyber threats.
Smart Analytics Artificial Intelligence And Sustainable Performance Management In A Global Digitalised Economy
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Author : Pallavi Tyagi
language : en
Publisher: Emerald Group Publishing
Release Date : 2023-05-29
Smart Analytics Artificial Intelligence And Sustainable Performance Management In A Global Digitalised Economy written by Pallavi Tyagi and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-29 with Business & Economics categories.
The Covid 19 pandemic has created chaos in the business world and forced leaders to rethink their operational status quo. Balancing the physical and virtual spaces of the global digital economy has called for additional support from data-driven technologies like smart analytics and artificial intelligence.
Ubiquitous Security
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Author : Guojun Wang
language : en
Publisher: Springer Nature
Release Date : 2023-02-15
Ubiquitous Security written by Guojun 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 2023-02-15 with Computers categories.
This book constitutes the refereed proceedings of the Second International Conference, UbiSec 2022, held in Zhangjiajie, China, during December 28–31, 2022. The 34 full papers and 4 short papers included in this book were carefully reviewed and selected from 98 submissions. They were organized in topical sections as follows: cyberspace security, cyberspace privacy, cyberspace anonymity and short papers.
Challenges And Solutions For Cybersecurity And Adversarial Machine Learning
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Author : Ul Rehman, Shafiq
language : en
Publisher: IGI Global
Release Date : 2025-06-06
Challenges And Solutions For Cybersecurity And Adversarial Machine Learning written by Ul Rehman, Shafiq and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-06 with Computers categories.
Adversarial machine learning poses a threat to cybersecurity by exploiting vulnerabilities in AI models through manipulated inputs. These attacks can cause systems in healthcare, finance, and autonomous vehicles to make dangerous or misleading decisions. A major challenge lies in detecting these small issues and defending learning models and organizational data without sacrificing performance. Ongoing research and cross-sector collaboration are essential to develop robust, ethical, and secure machine learning systems. Further research may reveal better solutions to converge cyber technology, security, and machine learning tools. Challenges and Solutions for Cybersecurity and Adversarial Machine Learning explores adversarial machine learning and deep learning within cybersecurity. It examines foundational knowledge, highlights vulnerabilities and threats, and proposes cutting-edge solutions to counteract adversarial attacks on AI systems. This book covers topics such as data privacy, federated learning, and threat detection, and is a useful resource for business owners, computer engineers, security professionals, academicians, researchers, and data scientists.
Intelligent Continuous Security
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Author : Marc Hornbeek
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2025-06-09
Intelligent Continuous Security written by Marc Hornbeek and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-09 with Computers categories.
With AI in the hands of cybercriminals, traditional security controls and response mechanisms are swiftly moving toward obsolescence. Intelligent Continuous Security (ICS) helps organizations stay toe-to-toe with adversaries, replacing outmoded defenses with a cohesive strategy that unifies security across the entire software lifecycle. Author Marc Hornbeek outlines the principles, strategies, and real-world implementations of ICS, including how to break down silos between DevSecOps and SecOps, how to measure and optimize security effectiveness, and how AI can transform everything from security operations to regulatory compliance. Security professionals, DevOps engineers, IT leaders, and decision-makers will learn how to move toward adaptive, self-healing defenses to keep pace with emerging risks. Align security strategies with organizational goals Implement AI-assisted Continuous Security across teams Select and integrate AI-powered tools for vulnerability detection, automated compliance checks, and real-time incident response Transition from reactive to proactive security to continuously adapt to emerging threats Apply best practices to mitigate risks and avoid breaches
Multidisciplinary Research Area In Arts Science Commerce Volume 1
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Author : Chief Editor- Biplab Auddya, Editor- Dr. Varanasi Jyothsna Lakshmi, Dr. Sama Ravinder Reddy, Dr. Veeresh C M, Dr. Suman Bala, Dr. N. Rajeswari, Dr. G. Gowri
language : en
Publisher: The Hill Publication
Release Date : 2025-05-22
Multidisciplinary Research Area In Arts Science Commerce Volume 1 written by Chief Editor- Biplab Auddya, Editor- Dr. Varanasi Jyothsna Lakshmi, Dr. Sama Ravinder Reddy, Dr. Veeresh C M, Dr. Suman Bala, Dr. N. Rajeswari, Dr. G. Gowri and has been published by The Hill Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-22 with Antiques & Collectibles categories.
Interpretable Machine Learning
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Author : Christoph Molnar
language : en
Publisher: Lulu.com
Release Date : 2020
Interpretable Machine Learning written by Christoph Molnar and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Computers categories.
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.
Bulletin Of The Atomic Scientists
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Author :
language : en
Publisher:
Release Date : 1955-04
Bulletin Of The Atomic Scientists written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1955-04 with categories.
The Bulletin of the Atomic Scientists is the premier public resource on scientific and technological developments that impact global security. Founded by Manhattan Project Scientists, the Bulletin's iconic "Doomsday Clock" stimulates solutions for a safer world.
Data Science For Cyber Security
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Author : Nicholas A Heard
language : en
Publisher: World Scientific
Release Date : 2018-09-26
Data Science For Cyber Security written by Nicholas A Heard and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-26 with Computers categories.
Cyber-security is a matter of rapidly growing importance in industry and government. This book provides insight into a range of data science techniques for addressing these pressing concerns.The application of statistical and broader data science techniques provides an exciting growth area in the design of cyber defences. Networks of connected devices, such as enterprise computer networks or the wider so-called Internet of Things, are all vulnerable to misuse and attack, and data science methods offer the promise to detect such behaviours from the vast collections of cyber traffic data sources that can be obtained. In many cases, this is achieved through anomaly detection of unusual behaviour against understood statistical models of normality.This volume presents contributed papers from an international conference of the same name held at Imperial College. Experts from the field have provided their latest discoveries and review state of the art technologies.
Digital And Social Media Marketing
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Author : Nripendra P. Rana
language : en
Publisher: Springer Nature
Release Date : 2019-11-11
Digital And Social Media Marketing written by Nripendra P. Rana and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-11 with Business & Economics categories.
This book examines issues and implications of digital and social media marketing for emerging markets. These markets necessitate substantial adaptations of developed theories and approaches employed in the Western world. The book investigates problems specific to emerging markets, while identifying new theoretical constructs and practical applications of digital marketing. It addresses topics such as electronic word of mouth (eWOM), demographic differences in digital marketing, mobile marketing, search engine advertising, among others. A radical increase in both temporal and geographical reach is empowering consumers to exert influence on brands, products, and services. Information and Communication Technologies (ICTs) and digital media are having a significant impact on the way people communicate and fulfil their socio-economic, emotional and material needs. These technologies are also being harnessed by businesses for various purposes including distribution and selling of goods, retailing of consumer services, customer relationship management, and influencing consumer behaviour by employing digital marketing practices. This book considers this, as it examines the practice and research related to digital and social media marketing.