Hands On Artificial Intelligence For Cybersecurity
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Hands On Artificial Intelligence For Cybersecurity
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Author : Alessandro Parisi
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-08-02
Hands On Artificial Intelligence For Cybersecurity written by Alessandro Parisi and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-02 with Computers categories.
Build smart cybersecurity systems with the power of machine learning and deep learning to protect your corporate assets Key FeaturesIdentify and predict security threats using artificial intelligenceDevelop intelligent systems that can detect unusual and suspicious patterns and attacksLearn how to test the effectiveness of your AI cybersecurity algorithms and toolsBook Description Today's organizations spend billions of dollars globally on cybersecurity. Artificial intelligence has emerged as a great solution for building smarter and safer security systems that allow you to predict and detect suspicious network activity, such as phishing or unauthorized intrusions. This cybersecurity book presents and demonstrates popular and successful AI approaches and models that you can adapt to detect potential attacks and protect your corporate systems. You'll learn about the role of machine learning and neural networks, as well as deep learning in cybersecurity, and you'll also learn how you can infuse AI capabilities into building smart defensive mechanisms. As you advance, you'll be able to apply these strategies across a variety of applications, including spam filters, network intrusion detection, botnet detection, and secure authentication. By the end of this book, you'll be ready to develop intelligent systems that can detect unusual and suspicious patterns and attacks, thereby developing strong network security defenses using AI. What you will learnDetect email threats such as spamming and phishing using AICategorize APT, zero-days, and polymorphic malware samplesOvercome antivirus limits in threat detectionPredict network intrusions and detect anomalies with machine learningVerify the strength of biometric authentication procedures with deep learningEvaluate cybersecurity strategies and learn how you can improve themWho this book is for If you’re a cybersecurity professional or ethical hacker who wants to build intelligent systems using the power of machine learning and AI, you’ll find this book useful. Familiarity with cybersecurity concepts and knowledge of Python programming is essential to get the most out of this book.
Hands On Machine Learning For Cybersecurity
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Author : Soma Halder
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-12-31
Hands On Machine Learning For Cybersecurity written by Soma Halder and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-31 with Computers categories.
Get into the world of smart data security using machine learning algorithms and Python libraries Key FeaturesLearn machine learning algorithms and cybersecurity fundamentalsAutomate your daily workflow by applying use cases to many facets of securityImplement smart machine learning solutions to detect various cybersecurity problemsBook Description Cyber threats today are one of the costliest losses that an organization can face. In this book, we use the most efficient tool to solve the big problems that exist in the cybersecurity domain. The book begins by giving you the basics of ML in cybersecurity using Python and its libraries. You will explore various ML domains (such as time series analysis and ensemble modeling) to get your foundations right. You will implement various examples such as building system to identify malicious URLs, and building a program to detect fraudulent emails and spam. Later, you will learn how to make effective use of K-means algorithm to develop a solution to detect and alert you to any malicious activity in the network. Also learn how to implement biometrics and fingerprint to validate whether the user is a legitimate user or not. Finally, you will see how we change the game with TensorFlow and learn how deep learning is effective for creating models and training systems What you will learnUse machine learning algorithms with complex datasets to implement cybersecurity conceptsImplement machine learning algorithms such as clustering, k-means, and Naive Bayes to solve real-world problemsLearn to speed up a system using Python libraries with NumPy, Scikit-learn, and CUDAUnderstand how to combat malware, detect spam, and fight financial fraud to mitigate cyber crimesUse TensorFlow in the cybersecurity domain and implement real-world examplesLearn how machine learning and Python can be used in complex cyber issuesWho this book is for This book is for the data scientists, machine learning developers, security researchers, and anyone keen to apply machine learning to up-skill computer security. Having some working knowledge of Python and being familiar with the basics of machine learning and cybersecurity fundamentals will help to get the most out of the book
Hands On Cybersecurity For Finance
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Author : Dr. Erdal Ozkaya
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-01-31
Hands On Cybersecurity For Finance written by Dr. Erdal Ozkaya and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-31 with Computers categories.
A comprehensive guide that will give you hands-on experience to study and overcome financial cyber threats Key FeaturesProtect your financial environment with cybersecurity practices and methodologiesIdentify vulnerabilities such as data manipulation and fraudulent transactionsProvide end-to-end protection within organizationsBook Description Organizations have always been a target of cybercrime. Hands-On Cybersecurity for Finance teaches you how to successfully defend your system against common cyber threats, making sure your financial services are a step ahead in terms of security. The book begins by providing an overall description of cybersecurity, guiding you through some of the most important services and technologies currently at risk from cyber threats. Once you have familiarized yourself with the topic, you will explore specific technologies and threats based on case studies and real-life scenarios. As you progress through the chapters, you will discover vulnerabilities and bugs (including the human risk factor), gaining an expert-level view of the most recent threats. You'll then explore information on how you can achieve data and infrastructure protection. In the concluding chapters, you will cover recent and significant updates to procedures and configurations, accompanied by important details related to cybersecurity research and development in IT-based financial services. By the end of the book, you will have gained a basic understanding of the future of information security and will be able to protect financial services and their related infrastructures. What you will learnUnderstand the cyber threats faced by organizationsDiscover how to identify attackersPerform vulnerability assessment, software testing, and pentestingDefend your financial cyberspace using mitigation techniques and remediation plansImplement encryption and decryptionUnderstand how Artificial Intelligence (AI) affects cybersecurityWho this book is for Hands-On Cybersecurity for Finance is for you if you are a security architect, cyber risk manager, or pentester looking to secure your organization. Basic understanding of cybersecurity tools and practices will help you get the most out of this book.
Explainable Artificial Intelligence For Cyber Security
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Author : Mohiuddin Ahmed
language : en
Publisher: Springer Nature
Release Date : 2022-04-18
Explainable Artificial Intelligence For Cyber Security written by Mohiuddin Ahmed and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-18 with Computers categories.
This book presents that explainable artificial intelligence (XAI) is going to replace the traditional artificial, machine learning, deep learning algorithms which work as a black box as of today. To understand the algorithms better and interpret the complex networks of these algorithms, XAI plays a vital role. In last few decades, we have embraced AI in our daily life to solve a plethora of problems, one of the notable problems is cyber security. In coming years, the traditional AI algorithms are not able to address the zero-day cyber attacks, and hence, to capitalize on the AI algorithms, it is absolutely important to focus more on XAI. Hence, this book serves as an excellent reference for those who are working in cyber security and artificial intelligence.
Artificial Intelligence For Cybersecurity
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Author : Mark Stamp
language : en
Publisher: Springer Nature
Release Date : 2022-07-15
Artificial Intelligence For Cybersecurity written by Mark Stamp and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-15 with Computers categories.
This book explores new and novel applications of machine learning, deep learning, and artificial intelligence that are related to major challenges in the field of cybersecurity. The provided research goes beyond simply applying AI techniques to datasets and instead delves into deeper issues that arise at the interface between deep learning and cybersecurity. This book also provides insight into the difficult "how" and "why" questions that arise in AI within the security domain. For example, this book includes chapters covering "explainable AI", "adversarial learning", "resilient AI", and a wide variety of related topics. It’s not limited to any specific cybersecurity subtopics and the chapters touch upon a wide range of cybersecurity domains, ranging from malware to biometrics and more. Researchers and advanced level students working and studying in the fields of cybersecurity (equivalently, information security) or artificial intelligence (including deep learning, machine learning, big data, and related fields) will want to purchase this book as a reference. Practitioners working within these fields will also be interested in purchasing this book.
Cyber Security In Era Of Ai And Quantum
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Author : Dr. Aryendra Dalal
language : en
Publisher: SGSH Publications
Release Date : 2025-07-06
Cyber Security In Era Of Ai And Quantum written by Dr. Aryendra Dalal and has been published by SGSH Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-06 with Antiques & Collectibles categories.
Cyber Security in Era of AI and Quantum
Digital Transformation Lessons From The Pandemic
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Author : Dandak Kaniyar
language : en
Publisher: Educohack Press
Release Date : 2025-01-03
Digital Transformation Lessons From The Pandemic written by Dandak Kaniyar and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-03 with Computers categories.
The illustrations in this book are created by “Team Educohack”. Digital Transformation Lessons from the Pandemic delves into the innovations, disruptions, and changes needed to adapt to the rapidly evolving landscape brought on by the COVID-19 pandemic. Renowned experts worldwide share their research and professional experiences on how the work environment and society have transformed due to the pandemic. We examine the impact on technology and business, with contributions from public health, technological strategies, urban planning, and sociology on building sustainable businesses. The book highlights new technologies related to the COVID-19 crisis, emphasizing their future roles in combating the virus. Covering advanced technologies and AI techniques, we explore new digital concepts for learning and teaching, organizational responses, and digital solutions developed to tackle the crisis. Scientists and various disciplines collaborate in the fight against COVID-19 and its consequences. This book provides valuable insights for researchers and academics in digital economics and education, as well as those studying the pandemic's impact on society.
Artificial Intelligence For Cybersecurity
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Author : R C Weston
language : en
Publisher: Independently Published
Release Date : 2025-09-29
Artificial Intelligence For Cybersecurity written by R C Weston and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-29 with Computers categories.
Unleash the power of AI to transform your cybersecurity defenses with this ultimate, hands-on guide. In a world where cyber threats are evolving at machine speed, traditional security measures are no longer enough.1 "Artificial Intelligence for Cybersecurity" is the definitive book for developers, security professionals, and IT leaders who want to master the next frontier of digital defense. This comprehensive guide takes you from the core principles of AI and machine learning to their practical, real-world application in protecting networks and detecting threats. You'll move beyond theory with extensive, hands-on code examples and step-by-step labs that show you exactly how to build and deploy intelligent security systems. What You'll Learn Inside: The Foundations: Understand the core concepts of AI and cybersecurity, including the CIA Triad and the MITRE ATT&CK framework. Proactive Threat Detection: Implement AI-powered systems for cyber threat intelligence (CTI), anomaly detection, and intelligent malware identification. Automated Defense: Build next-generation firewalls and automated response systems using SOAR (Security Orchestration, Automation, and Response) and machine learning. Hands-On Labs: Follow detailed, code-driven labs to create your own network traffic anomaly detector and simulate automated threat responses. Advanced Topics: Explore cutting-edge concepts like predictive vulnerability management, AI for cloud security, and the future of the autonomous SOC. Adversarial AI: Learn how attackers use AI and discover techniques to build robust, resilient, and explainable AI (XAI) security systems. Whether you're a developer looking to apply your skills to a critical new domain or a security professional ready to upgrade your toolkit, this book provides the knowledge and practical skills you need to build a future-proof defense. Take control of your security posture. Get your copy now and turn your data into your strongest shield.
Advances In Nature Inspired Cyber Security And Resilience
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Author : Shishir Kumar Shandilya
language : en
Publisher: Springer Nature
Release Date : 2022-04-26
Advances In Nature Inspired Cyber Security And Resilience written by Shishir Kumar Shandilya and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-26 with Technology & Engineering categories.
This book presents a comprehensive reference source for dynamic and innovative research in the field of cyber security, focusing on nature-inspired research and applications. The authors present the design and development of future-ready cyber security measures, providing a critical and descriptive examination of all facets of cyber security with a special focus on recent technologies and applications. The book showcases the advanced defensive cyber security mechanism that is a requirement in the industry and highlights measures that provide efficient and fast solutions. The authors explore the potential of AI-based and nature-inspired based computing compatibilities in establishing an adaptive defense mechanism system. The book focuses on current research while highlighting the empirical results along with theoretical concepts to provide a reference for students, researchers, scholars, professionals, and practitioners in the field of cyber security and analytics. This book features contributions from leading scholars from all over the world.
Knowledge Science Engineering And Management
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Author : Cungeng Cao
language : en
Publisher: Springer Nature
Release Date : 2024-07-26
Knowledge Science Engineering And Management written by Cungeng Cao and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-26 with Computers categories.
The five-volume set LNCS 14884, 14885, 14886, 14887 & 14888 constitutes the refereed deadline proceedings of the 17th International Conference on Knowledge Science, Engineering and Management, KSEM 2024, held in Birmingham, UK, during August 16–18, 2024. The 160 full papers presented in these proceedings were carefully reviewed and selected from 495 submissions. The papers are organized in the following topical sections: Volume I: Knowledge Science with Learning and AI (KSLA) Volume II: Knowledge Engineering Research and Applications (KERA) Volume III: Knowledge Management with Optimization and Security (KMOS) Volume IV: Emerging Technology Volume V: Special Tracks