Advanced Malware Analysis And Intelligence
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Advanced Malware Analysis And Intelligence
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Author : Mahadev Thukaram
language : en
Publisher: BPB Publications
Release Date : 2025-01-13
Advanced Malware Analysis And Intelligence written by Mahadev Thukaram and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-13 with Computers categories.
DESCRIPTION Advanced Malware Analysis and Intelligence teaches you how to analyze malware like a pro. Using static and dynamic techniques, you will understand how malware works, its intent, and its impact. The book covers key tools and reverse engineering concepts, helping you break down even the most complex malware. This book is a comprehensive and practical guide to understanding and analyzing advanced malware threats. The book explores how malware is created, evolves to bypass modern defenses, and can be effectively analyzed using both foundational and advanced techniques. Covering key areas such as static and dynamic analysis, reverse engineering, malware campaign tracking, and threat intelligence, this book provides step-by-step methods to uncover malicious activities, identify IOCs, and disrupt malware operations. Readers will also gain insights into evasion techniques employed by malware authors and learn advanced defense strategies. It explores emerging trends, including AI and advanced attack techniques, helping readers stay prepared for future cybersecurity challenges. By the end of the book, you will have acquired the skills to proactively identify emerging threats, fortify network defenses, and develop effective incident response strategies to safeguard critical systems and data in an ever-changing digital landscape. KEY FEATURES ● Covers everything from basics to advanced techniques, providing practical knowledge for tackling real-world malware challenges. ● Understand how to integrate malware analysis with threat intelligence to uncover campaigns, track threats, and create proactive defenses. ● Explore how to use indicators of compromise (IOCs) and behavioral analysis to improve organizational cybersecurity. WHAT YOU WILL LEARN ● Gain a complete understanding of malware, its behavior, and how to analyze it using static and dynamic techniques. ● Reverse engineering malware to understand its code and functionality. ● Identifying and tracking malware campaigns to attribute threat actors. ● Identify and counter advanced evasion techniques while utilizing threat intelligence to enhance defense and detection strategies. ● Detecting and mitigating evasion techniques used by advanced malware. ● Developing custom detections and improving incident response strategies. WHO THIS BOOK IS FOR This book is tailored for cybersecurity professionals, malware analysts, students, and incident response teams. Before reading this book, readers should have a basic understanding of operating systems, networking concepts, any scripting language, and cybersecurity fundamentals. TABLE OF CONTENTS 1. Understanding the Cyber Threat Landscape 2. Fundamentals of Malware Analysis 3. Introduction to Threat Intelligence 4. Static Analysis Techniques 5. Dynamic Analysis Techniques 6. Advanced Reverse Engineering 7. Gathering and Analysing Threat Intelligence 8. Indicators of Compromise 9. Malware Campaign Analysis 10. Advanced Anti-malware Techniques 11. Incident Response and Remediation 12. Future Trends in Advanced Malware Analysis and Intelligence APPENDIX: Tools and Resources
Artificial Intelligence In Cyber Security Advanced Threat Detection And Prevention Strategies
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Author : Rajesh David
language : en
Publisher: RK Publication
Release Date : 2024-11-05
Artificial Intelligence In Cyber Security Advanced Threat Detection And Prevention Strategies written by Rajesh David and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-05 with Computers categories.
Artificial Intelligence in Cyber Security Advanced Threat Detection and Prevention Strategies the transformative role of AI in strengthening cybersecurity defenses. This a comprehensive guide to how AI-driven technologies can identify, analyze, and mitigate sophisticated cyber threats in real time. Covering advanced techniques in machine learning, anomaly detection, and behavioral analysis, it offers strategic insights for proactively defending against cyber attacks. Ideal for cybersecurity professionals, IT managers, and researchers, this book illuminates AI's potential to anticipate vulnerabilities and safeguard digital ecosystems against evolving threats.
Artificial Intelligence Enabled Digital Twin For Smart Manufacturing
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Author : Amit Kumar Tyagi
language : en
Publisher: John Wiley & Sons
Release Date : 2024-10-15
Artificial Intelligence Enabled Digital Twin For Smart Manufacturing written by Amit Kumar Tyagi 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 2024-10-15 with Computers categories.
An essential book on the applications of AI and digital twin technology in the smart manufacturing sector. In the rapidly evolving landscape of modern manufacturing, the integration of cutting-edge technologies has become imperative for businesses to remain competitive and adaptive. Among these technologies, Artificial Intelligence (AI) stands out as a transformative force, revolutionizing traditional manufacturing processes and making the way for the era of smart manufacturing. At the heart of this technological revolution lies the concept of the Digital Twin—an innovative approach that bridges the physical and digital realms of manufacturing. By creating a virtual representation of physical assets, processes, and systems, organizations can gain unprecedented insights, optimize operations, and enhance decision-making capabilities. This timely book explores the convergence of AI and Digital Twin technologies to empower smart manufacturing initiatives. Through a comprehensive examination of principles, methodologies, and practical applications, it explains the transformative potential of AI-enabled Digital Twins across various facets of the manufacturing lifecycle. From design and prototyping to production and maintenance, AI-enabled Digital Twins offer multifaceted advantages that redefine traditional paradigms. By leveraging AI algorithms for data analysis, predictive modeling, and autonomous optimization, manufacturers can achieve unparalleled levels of efficiency, quality, and agility. This book explains how AI enhances the capabilities of Digital Twins by creating a powerful tool that can optimize production processes, improve product quality, and streamline operations. Note that the Digital Twin in this context is a virtual representation of a physical manufacturing system, including machines, processes, and products. It continuously collects real-time data from sensors and other sources, allowing it to mirror the physical system’s behavior and performance. What sets this Digital Twin apart is the incorporation of AI algorithms and machine learning techniques that enable it to analyze and predict outcomes, recommend improvements, and autonomously make adjustments to enhance manufacturing efficiency. This book outlines essential elements, like real-time monitoring of machines, predictive analytics of machines and data, optimization of the resources, quality control of the product, resource management, decision support (timely or quickly accurate decisions). Moreover, this book elucidates the symbiotic relationship between AI and Digital Twins, highlighting how AI augments the capabilities of Digital Twins by infusing them with intelligence, adaptability, and autonomy. Hence, this book promises to enhance competitiveness, reduce operational costs, and facilitate innovation in the manufacturing industry. By harnessing AI’s capabilities in conjunction with Digital Twins, manufacturers can achieve a more agile and responsive production environment, ultimately driving the evolution of smart factories and Industry 4.0/5.0. Audience This book has a wide audience in computer science, artificial intelligence, and manufacturing engineering, as well as engineers in a variety of industrial manufacturing industries. It will also appeal to economists and policymakers working on the circular economy, clean tech investors, industrial decision-makers, and environmental professionals.
Learning Malware Analysis
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Author : Monnappa K A
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-06-29
Learning Malware Analysis written by Monnappa K A 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 2018-06-29 with Computers categories.
Understand malware analysis and its practical implementation Key Features Explore the key concepts of malware analysis and memory forensics using real-world examples Learn the art of detecting, analyzing, and investigating malware threats Understand adversary tactics and techniques Book Description Malware analysis and memory forensics are powerful analysis and investigation techniques used in reverse engineering, digital forensics, and incident response. With adversaries becoming sophisticated and carrying out advanced malware attacks on critical infrastructures, data centers, and private and public organizations, detecting, responding to, and investigating such intrusions is critical to information security professionals. Malware analysis and memory forensics have become must-have skills to fight advanced malware, targeted attacks, and security breaches. This book teaches you the concepts, techniques, and tools to understand the behavior and characteristics of malware through malware analysis. It also teaches you techniques to investigate and hunt malware using memory forensics. This book introduces you to the basics of malware analysis, and then gradually progresses into the more advanced concepts of code analysis and memory forensics. It uses real-world malware samples, infected memory images, and visual diagrams to help you gain a better understanding of the subject and to equip you with the skills required to analyze, investigate, and respond to malware-related incidents. What you will learn Create a safe and isolated lab environment for malware analysis Extract the metadata associated with malware Determine malware's interaction with the system Perform code analysis using IDA Pro and x64dbg Reverse-engineer various malware functionalities Reverse engineer and decode common encoding/encryption algorithms Reverse-engineer malware code injection and hooking techniques Investigate and hunt malware using memory forensics Who this book is for This book is for incident responders, cyber-security investigators, system administrators, malware analyst, forensic practitioners, student, or curious security professionals interested in learning malware analysis and memory forensics. Knowledge of programming languages such as C and Python is helpful but is not mandatory. If you have written few lines of code and have a basic understanding of programming concepts, you’ll be able to get most out of this book.
Malware Analysis Using Artificial Intelligence And Deep Learning
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Author : Mark Stamp
language : en
Publisher: Springer Nature
Release Date : 2020-12-20
Malware Analysis Using Artificial Intelligence And Deep Learning 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 2020-12-20 with Computers categories.
This book is focused on the use of deep learning (DL) and artificial intelligence (AI) as tools to advance the fields of malware detection and analysis. The individual chapters of the book deal with a wide variety of state-of-the-art AI and DL techniques, which are applied to a number of challenging malware-related problems. DL and AI based approaches to malware detection and analysis are largely data driven and hence minimal expert domain knowledge of malware is needed. This book fills a gap between the emerging fields of DL/AI and malware analysis. It covers a broad range of modern and practical DL and AI techniques, including frameworks and development tools enabling the audience to innovate with cutting-edge research advancements in a multitude of malware (and closely related) use cases.
Malware Analysis
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Author : Rob Botwright
language : en
Publisher: Rob Botwright
Release Date : 2023
Malware Analysis written by Rob Botwright and has been published by Rob Botwright this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with Computers categories.
📘 Unlock the Secrets of Cybersecurity with Our Exclusive Book Bundle! Are you ready to take your cybersecurity skills to the next level? Dive into our meticulously curated book bundle, "Malware Analysis, Digital Forensics, Cybersecurity, and Incident Response," and become a true guardian of the digital realm. 🔍 What's Inside the Bundle? Book 1 - Introduction to Malware Analysis and Digital Forensics for Cybersecurity · Lay a strong foundation in malware analysis. · Uncover the intricacies of digital forensics. · Master the art of evidence discovery in the digital world. Book 2 - Malware Detection and Analysis in Cybersecurity: A Practical Approach · Get hands-on experience in malware detection techniques. · Understand real-world applications of cybersecurity. · Learn to identify and analyze malware threats effectively. Book 3 - Advanced Cybersecurity Threat Analysis and Incident Response · Dive deep into advanced threat analysis. · Harness the power of threat intelligence. · Become a proactive threat hunter in the digital wilderness. Book 4 - Expert Malware Analysis and Digital Forensics: Mastering Cybersecurity Incident Response · Unravel the intricacies of malware analysis. · Master memory forensics. · Respond decisively to security incidents like a pro. 🌐 Why This Bundle? Our book bundle is your one-stop resource for comprehensive cybersecurity knowledge. Whether you're a budding cybersecurity enthusiast or an experienced professional, you'll find value in every volume. 🚀 What Sets Us Apart? · Practical Insights: Our books provide practical, real-world insights that you can apply immediately. · Expert Authors: Authored by seasoned cybersecurity professionals, these books offer invaluable expertise. · Step-by-Step Guidance: Each book guides you through complex topics with clear, step-by-step instructions. · Cutting-Edge Content: Stay up-to-date with the latest cybersecurity trends and techniques. · Community: Join a community of learners and experts passionate about cybersecurity. 💡 Who Should Grab This Bundle? · Cybersecurity Enthusiasts · IT Professionals · Digital Forensics Analysts · Incident Response Teams · Security Consultants · Students Pursuing Cybersecurity Careers 🔒 Secure Your Digital Future In a world where cyber threats evolve daily, your knowledge is your greatest defense. Equip yourself with the skills and expertise needed to protect your digital assets and those of others. Don't miss this opportunity to become a cybersecurity powerhouse. Grab your bundle today and start your journey towards mastering the art of cyber defense! 📦 Limited Time Offer This exclusive bundle is available for a limited time only. Act fast and secure your copy now to embark on a transformative journey into the world of cybersecurity and digital forensics. 🔐 Protect What Matters Most Your digital world is waiting – defend it with knowledge and expertise. Grab your bundle now and become the cybersecurity hero you were meant to be! 👉 Click "Add to Cart" and Secure Your Bundle Today!
Advanced Malware Analysis
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Author : Christopher C. Elisan
language : en
Publisher: McGraw-Hill Education
Release Date : 2015-08-13
Advanced Malware Analysis written by Christopher C. Elisan and has been published by McGraw-Hill Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-13 with Computers categories.
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. A one-of-a-kind guide to setting up a malware research lab, using cutting-edge analysis tools, and reporting the findings Advanced Malware Analysis is a critical resource for every information security professional's anti-malware arsenal. The proven troubleshooting techniques will give an edge to information security professionals whose job involves detecting, decoding, and reporting on malware. After explaining malware architecture and how it operates, the book describes how to create and configure a state-of-the-art malware research lab and gather samples for analysis. Then, you’ll learn how to use dozens of malware analysis tools, organize data, and create metrics-rich reports. A crucial tool for combatting malware—which currently hits each second globally Filled with undocumented methods for customizing dozens of analysis software tools for very specific uses Leads you through a malware blueprint first, then lab setup, and finally analysis and reporting activities Every tool explained in this book is available in every country around the world
Reversing
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Author : Eldad Eilam
language : en
Publisher: John Wiley & Sons
Release Date : 2011-12-12
Reversing written by Eldad Eilam 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 2011-12-12 with Computers categories.
Beginning with a basic primer on reverse engineering-including computer internals, operating systems, and assembly language-and then discussing the various applications of reverse engineering, this book provides readers with practical, in-depth techniques for software reverse engineering. The book is broken into two parts, the first deals with security-related reverse engineering and the second explores the more practical aspects of reverse engineering. In addition, the author explains how to reverse engineer a third-party software library to improve interfacing and how to reverse engineer a competitor's software to build a better product. * The first popular book to show how software reverse engineering can help defend against security threats, speed up development, and unlock the secrets of competitive products * Helps developers plug security holes by demonstrating how hackers exploit reverse engineering techniques to crack copy-protection schemes and identify software targets for viruses and other malware * Offers a primer on advanced reverse-engineering, delving into "disassembly"-code-level reverse engineering-and explaining how to decipher assembly language
Cyber Threat Intelligence 2024 Edition
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Author : Diego Rodrigues
language : en
Publisher: Diego Rodrigues
Release Date : 2024-10-16
Cyber Threat Intelligence 2024 Edition written by Diego Rodrigues and has been published by Diego Rodrigues this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-16 with Computers categories.
In today’s world, where cyber threats evolve at an alarming pace, mastering cyber intelligence techniques is not just an advantage—it’s a necessity. Welcome to "CYBER THREAT INTELLIGENCE: Essential Frameworks and Tools for Identifying and Mitigating Contemporary Threats - 2024 Edition," the definitive guide for those seeking to understand and apply advanced defense strategies against the most sophisticated threats in the digital environment. Written by Diego Rodrigues, a seasoned author with over 180 titles published in six languages, this book is designed to be the most comprehensive and up-to-date resource on Cyber Threat Intelligence (CTI). Its goal is to empower students, cybersecurity professionals, and managers in identifying, mitigating, and preventing threats. The content is meticulously structured, covering everything from theoretical foundations to the application of widely adopted frameworks such as MITRE ATT&CK, Cyber Kill Chain, and Diamond Model, while also exploring essential tools like Kali Linux, OSINT, and intelligence-sharing platforms such as STIX/TAXII. For managers, the book provides a strategic view of how threat intelligence can be integrated into an organization’s daily security operations, improving resilience against targeted attacks and strengthening defenses against emerging threats. The content will assist managers in making informed decisions about security investments and risk mitigation strategies, ensuring that their teams remain one step ahead of cybercriminals. For security professionals, this book offers a deep dive into the tools, frameworks, and methodologies used by experts in the field of CTI. You will learn how to interpret threat data, automate collection and analysis processes, and apply practical intelligence to defend critical infrastructures. The detailed coverage of emerging professions in the field—including Red Team, Blue Team, and Purple Team—will provide a clear understanding of how these roles collaborate to protect organizations from increasingly complex attacks. For students, this is the ultimate guide to gaining a solid and practical understanding of the key disciplines within cybersecurity, with exercises and case studies designed to challenge your critical thinking and problem-solving skills. Over the course of 42 chapters, you will be guided through every aspect of Cyber Threat Intelligence, from data collection and threat analysis to the creation of automated responses and artificial intelligence applied to cybersecurity. "CYBER THREAT INTELLIGENCE: Essential Frameworks and Tools for Identifying and Mitigating Contemporary Threats" is more than just a technical manual—it is an essential tool for anyone looking to lead in the field of cybersecurity. By providing a complete understanding of contemporary threats and the most advanced techniques to combat them, this book ensures that you will be prepared to face the challenges of the digital age with confidence and expertise. If you are looking to stand out in a competitive and ever-evolving job market, where security is the foundation of digital trust, this is the book that will prepare you to stay ahead of the most complex threats in the modern world. TAGS: Python Java Linux Kali Linux HTML ASP.NET Ada Assembly Language BASIC Borland Delphi C C# C++ CSS Cobol Compilers DHTML Fortran General HTML Java JavaScript LISP PHP Pascal Perl Prolog RPG Ruby SQL Swift UML Elixir Haskell VBScript Visual Basic XHTML XML XSL Django Flask Ruby on Rails Angular React Vue.js Node.js Laravel Spring Hibernate .NET Core Express.js TensorFlow PyTorch Jupyter Notebook Keras Bootstrap Foundation jQuery SASS LESS Scala Groovy MATLAB R Objective-C Rust Go Kotlin TypeScript Elixir Dart SwiftUI Xamarin React Native NumPy Pandas SciPy Matplotlib Seaborn D3.js OpenCV NLTK PySpark BeautifulSoup Scikit-learn XGBoost CatBoost LightGBM FastAPI Celery Tornado Redis RabbitMQ Kubernetes Docker Jenkins Terraform Ansible Vagrant GitHub GitLab CircleCI Travis CI Linear Regression Logistic Regression Decision Trees Random Forests FastAPI AI ML K-Means Clustering Support Vector Tornado Machines Gradient Boosting Neural Networks LSTMs CNNs GANs ANDROID IOS MACOS WINDOWS Nmap Metasploit Framework Wireshark Aircrack-ng John the Ripper Burp Suite SQLmap Maltego Autopsy Volatility IDA Pro OllyDbg YARA Snort ClamAV iOS Netcat Tcpdump Foremost Cuckoo Sandbox Fierce HTTrack Kismet Hydra Nikto OpenVAS Nessus ZAP Radare2 Binwalk GDB OWASP Amass Dnsenum Dirbuster Wpscan Responder Setoolkit Searchsploit Recon-ng BeEF aws google cloud ibm azure databricks nvidia meta x Power BI IoT CI/CD Hadoop Spark Pandas NumPy Dask SQLAlchemy web scraping mysql big data science openai chatgpt Handler RunOnUiThread()Qiskit Q# Cassandra Bigtable VIRUS MALWARE docker kubernetes
Malware Data Science
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Author : Joshua Saxe
language : en
Publisher: No Starch Press
Release Date : 2018-09-25
Malware Data Science written by Joshua Saxe and has been published by No Starch Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-25 with Computers categories.
Malware Data Science explains how to identify, analyze, and classify large-scale malware using machine learning and data visualization. Security has become a "big data" problem. The growth rate of malware has accelerated to tens of millions of new files per year while our networks generate an ever-larger flood of security-relevant data each day. In order to defend against these advanced attacks, you'll need to know how to think like a data scientist. In Malware Data Science, security data scientist Joshua Saxe introduces machine learning, statistics, social network analysis, and data visualization, and shows you how to apply these methods to malware detection and analysis. You'll learn how to: - Analyze malware using static analysis - Observe malware behavior using dynamic analysis - Identify adversary groups through shared code analysis - Catch 0-day vulnerabilities by building your own machine learning detector - Measure malware detector accuracy - Identify malware campaigns, trends, and relationships through data visualization Whether you're a malware analyst looking to add skills to your existing arsenal, or a data scientist interested in attack detection and threat intelligence, Malware Data Science will help you stay ahead of the curve.