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Author: Zahir Tari Publisher: John Wiley & Sons ISBN: 1119898897 Category : Computers Languages : en Pages : 292
Book Description
DATA EXFILTRATION THREATS AND PREVENTION TECHNIQUES Comprehensive resource covering threat prevention techniques for data exfiltration and applying machine learning applications to aid in identification and prevention Data Exfiltration Threats and Prevention Techniques provides readers the knowledge needed to prevent and protect from malware attacks by introducing existing and recently developed methods in malware protection using AI, memory forensic, and pattern matching, presenting various data exfiltration attack vectors and advanced memory-based data leakage detection, and discussing ways in which machine learning methods have a positive impact on malware detection. Providing detailed descriptions of the recent advances in data exfiltration detection methods and technologies, the authors also discuss details of data breach countermeasures and attack scenarios to show how the reader may identify a potential cyber attack in the real world. Composed of eight chapters, this book presents a better understanding of the core issues related to the cyber-attacks as well as the recent methods that have been developed in the field. In Data Exfiltration Threats and Prevention Techniques, readers can expect to find detailed information on: Sensitive data classification, covering text pre-processing, supervised text classification, automated text clustering, and other sensitive text detection approaches Supervised machine learning technologies for intrusion detection systems, covering taxonomy and benchmarking of supervised machine learning techniques Behavior-based malware detection using API-call sequences, covering API-call extraction techniques and detecting data stealing behavior based on API-call sequences Memory-based sensitive data monitoring for real-time data exfiltration detection and advanced time delay data exfiltration attack and detection Aimed at professionals and students alike, Data Exfiltration Threats and Prevention Techniques highlights a range of machine learning methods that can be used to detect potential data theft and identifies research gaps and the potential to make change in the future as technology continues to grow.
Author: Zahir Tari Publisher: John Wiley & Sons ISBN: 1119898897 Category : Computers Languages : en Pages : 292
Book Description
DATA EXFILTRATION THREATS AND PREVENTION TECHNIQUES Comprehensive resource covering threat prevention techniques for data exfiltration and applying machine learning applications to aid in identification and prevention Data Exfiltration Threats and Prevention Techniques provides readers the knowledge needed to prevent and protect from malware attacks by introducing existing and recently developed methods in malware protection using AI, memory forensic, and pattern matching, presenting various data exfiltration attack vectors and advanced memory-based data leakage detection, and discussing ways in which machine learning methods have a positive impact on malware detection. Providing detailed descriptions of the recent advances in data exfiltration detection methods and technologies, the authors also discuss details of data breach countermeasures and attack scenarios to show how the reader may identify a potential cyber attack in the real world. Composed of eight chapters, this book presents a better understanding of the core issues related to the cyber-attacks as well as the recent methods that have been developed in the field. In Data Exfiltration Threats and Prevention Techniques, readers can expect to find detailed information on: Sensitive data classification, covering text pre-processing, supervised text classification, automated text clustering, and other sensitive text detection approaches Supervised machine learning technologies for intrusion detection systems, covering taxonomy and benchmarking of supervised machine learning techniques Behavior-based malware detection using API-call sequences, covering API-call extraction techniques and detecting data stealing behavior based on API-call sequences Memory-based sensitive data monitoring for real-time data exfiltration detection and advanced time delay data exfiltration attack and detection Aimed at professionals and students alike, Data Exfiltration Threats and Prevention Techniques highlights a range of machine learning methods that can be used to detect potential data theft and identifies research gaps and the potential to make change in the future as technology continues to grow.
Author: Zahir Tari Publisher: John Wiley & Sons ISBN: 1119898870 Category : Computers Languages : en Pages : 292
Book Description
DATA EXFILTRATION THREATS AND PREVENTION TECHNIQUES Comprehensive resource covering threat prevention techniques for data exfiltration and applying machine learning applications to aid in identification and prevention Data Exfiltration Threats and Prevention Techniques provides readers the knowledge needed to prevent and protect from malware attacks by introducing existing and recently developed methods in malware protection using AI, memory forensic, and pattern matching, presenting various data exfiltration attack vectors and advanced memory-based data leakage detection, and discussing ways in which machine learning methods have a positive impact on malware detection. Providing detailed descriptions of the recent advances in data exfiltration detection methods and technologies, the authors also discuss details of data breach countermeasures and attack scenarios to show how the reader may identify a potential cyber attack in the real world. Composed of eight chapters, this book presents a better understanding of the core issues related to the cyber-attacks as well as the recent methods that have been developed in the field. In Data Exfiltration Threats and Prevention Techniques, readers can expect to find detailed information on: Sensitive data classification, covering text pre-processing, supervised text classification, automated text clustering, and other sensitive text detection approaches Supervised machine learning technologies for intrusion detection systems, covering taxonomy and benchmarking of supervised machine learning techniques Behavior-based malware detection using API-call sequences, covering API-call extraction techniques and detecting data stealing behavior based on API-call sequences Memory-based sensitive data monitoring for real-time data exfiltration detection and advanced time delay data exfiltration attack and detection Aimed at professionals and students alike, Data Exfiltration Threats and Prevention Techniques highlights a range of machine learning methods that can be used to detect potential data theft and identifies research gaps and the potential to make change in the future as technology continues to grow.
Author: Diego Rodrigues Publisher: Diego Rodrigues ISBN: Category : Computers Languages : en Pages : 217
Book Description
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
Author: Tarun Kumar Chawdhury Publisher: BPB Publications ISBN: 9355518846 Category : Computers Languages : en Pages : 376
Book Description
Elevate your Java security skills for the modern cloud era KEY FEATURES ● Understanding Zero-Trust security model for Java. ● Practical cloud security strategies for developers. ● Hands-on guidance for secure Java application development. DESCRIPTION This book offers a comprehensive guide to implementing Zero-Trust security principles, cloud-based defenses, and robust application development practices. Through practical examples and expert advice, readers will gain the skills needed to design and develop secure Java applications that easily can tackle today's cyber threats. It builds focus on securing your source code through analysis, vulnerability detection, and automation. It also ensures the safety of your runtime environment for managing traffic and enables multi-factor authentication. While addressing data security concerns with encryption, anonymization, and cloud-based solutions, it also uses tools like OpenTelemetry for real-time threat detection. It manages sensitive information securely with Vault integration and explores passwordless authentication. Reference architectures, secure coding patterns, and automation practices are also provided to aid implementation. By the end of this book, you'll be well-equipped to build secure Java applications with confidence and deliver applications that are robust, reliable, and compliant. WHAT YOU WILL LEARN ● Implement Zero-Trust principles in Java applications. ● Secure Java apps in cloud environments like AWS, GCP, and Azure. ● Develop applications with security best practices from the ground up. ● Understand and mitigate common security vulnerabilities in Java. ● Apply modern security tools and techniques in Java development. WHO THIS BOOK IS FOR This book is ideal for Java developers and software architects seeking to enhance their security expertise, particularly in cloud environments. TABLE OF CONTENTS 1. Secure Design Principles for Java Applications 2. Analyzing and Securing Source Code 3. Securing Java Runtime 4. Application Data Security 5. Application Observability and Threat Protection 6. Integration with Vault 7. Established Solution Architecture and Patterns 8. Real-world Case Studies and Solutions 9. Java Software Licensing Model 10. Secure Coding Tips and Practices
Author: Jean Nestor M. Dahj Publisher: Packt Publishing Ltd ISBN: 1800208286 Category : Computers Languages : en Pages : 528
Book Description
Develop the analytical skills to effectively safeguard your organization by enhancing defense mechanisms, and become a proficient threat intelligence analyst to help strategic teams in making informed decisions Key FeaturesBuild the analytics skills and practices you need for analyzing, detecting, and preventing cyber threatsLearn how to perform intrusion analysis using the cyber threat intelligence (CTI) processIntegrate threat intelligence into your current security infrastructure for enhanced protectionBook Description The sophistication of cyber threats, such as ransomware, advanced phishing campaigns, zero-day vulnerability attacks, and advanced persistent threats (APTs), is pushing organizations and individuals to change strategies for reliable system protection. Cyber Threat Intelligence converts threat information into evidence-based intelligence that uncovers adversaries' intents, motives, and capabilities for effective defense against all kinds of threats. This book thoroughly covers the concepts and practices required to develop and drive threat intelligence programs, detailing the tasks involved in each step of the CTI lifecycle. You'll be able to plan a threat intelligence program by understanding and collecting the requirements, setting up the team, and exploring the intelligence frameworks. You'll also learn how and from where to collect intelligence data for your program, considering your organization level. With the help of practical examples, this book will help you get to grips with threat data processing and analysis. And finally, you'll be well-versed with writing tactical, technical, and strategic intelligence reports and sharing them with the community. By the end of this book, you'll have acquired the knowledge and skills required to drive threat intelligence operations from planning to dissemination phases, protect your organization, and help in critical defense decisions. What you will learnUnderstand the CTI lifecycle which makes the foundation of the studyForm a CTI team and position it in the security stackExplore CTI frameworks, platforms, and their use in the programIntegrate CTI in small, medium, and large enterprisesDiscover intelligence data sources and feedsPerform threat modelling and adversary and threat analysisFind out what Indicators of Compromise (IoCs) are and apply the pyramid of pain in threat detectionGet to grips with writing intelligence reports and sharing intelligenceWho this book is for This book is for security professionals, researchers, and individuals who want to gain profound knowledge of cyber threat intelligence and discover techniques to prevent varying types of cyber threats. Basic knowledge of cybersecurity and network fundamentals is required to get the most out of this book.
Author: Nam H Nguyen Publisher: Nam H Nguyen ISBN: Category : Languages : en Pages : 311
Book Description
The Essential Cyber Security Handbook is a great resource anywhere you go; it presents the most current and leading edge research on system safety and security. You do not need to be a cyber-security expert to protect your information. There are people out there whose main job it is trying to steal personal and financial information. Are you worried about your online safety but you do not know where to start? So this handbook will give you, students, scholars, schools, corporates, businesses, governments and technical decision-makers the necessary knowledge to make informed decisions on cyber security at home or at work. 5 Questions CEOs Should Ask About Cyber Risks, 8 Most Common Internet Security Issues You May Face, Avoiding Copyright Infringement, Avoiding Social Engineering and Phishing Attacks, Avoiding the Pitfalls of Online Trading, Banking Securely Online, Basic Security Concepts, Basics of Cloud Computing, Before You Connect a New Computer to the Internet, Benefits and Risks of Free Email Services, Benefits of BCC, Browsing Safely - Understanding Active Content and Cookies, Choosing and Protecting Passwords, Common Risks of Using Business Apps in the Cloud, Coordinating Virus and Spyware Defense, Cybersecurity for Electronic Devices, Data Backup Options, Dealing with Cyberbullies, Debunking Some Common Myths, Defending Cell Phones and PDAs Against Attack, Disposing of Devices Safely, Effectively Erasing Files, Evaluating Your Web Browser's Security Settings, Good Security Habits, Guidelines for Publishing Information Online, Handling Destructive Malware, Holiday Traveling with Personal Internet-Enabled Devices, Home Computer and Internet security, How Anonymous Are You, How to stop most of the adware tracking cookies Mac, Windows and Android, Identifying Hoaxes and Urban Legends, Keeping Children Safe Online, Playing it Safe - Avoiding Online Gaming Risks, Prepare for Heightened Phishing Risk Tax Season, Preventing and Responding to Identity Theft, Privacy and Data Security, Protect Your Workplace, Protecting Aggregated Data, Protecting Portable Devices - Data Security, Protecting Portable Devices - Physical Security, Protecting Your Privacy, Questions Bank Leaders, Real-World Warnings Keep You Safe Online, Recognizing and Avoiding Email Scams, Recognizing and Avoiding Spyware, Recognizing Fake Antiviruses, Recovering from a Trojan Horse or Virus, Recovering from Viruses, Worms, and Trojan Horses, Reducing Spam, Reviewing End-User License Agreements, Risks of File-Sharing Technology, Safeguarding Your Data, Securing Voter Registration Data, Securing Wireless Networks, Securing Your Home Network, Shopping Safely Online, Small Office or Home Office Router Security, Socializing Securely - Using Social Networking Services, Software License Agreements - Ignore at Your Own Risk, Spyware Home, Staying Safe on Social Networking Sites, Supplementing Passwords, The Risks of Using Portable Devices, Threats to mobile phones, Understanding and Protecting Yourself Against Money Mule Schemes, Understanding Anti-Virus Software, Understanding Bluetooth Technology, Understanding Denial-of-Service Attacks, Understanding Digital Signatures, Understanding Encryption, Understanding Firewalls, Understanding Hidden Threats - Rootkits and Botnets, Understanding Hidden Threats Corrupted Software Files, Understanding Internationalized Domain Names, Understanding ISPs, Understanding Patches, Understanding Voice over Internet Protocol (VoIP), Understanding Web Site Certificates, Understanding Your Computer - Email Clients, Understanding Your Computer - Operating Systems, Understanding Your Computer - Web Browsers, Using Caution with Email Attachments, Using Caution with USB Drives, Using Instant Messaging and Chat Rooms Safely, Using Wireless Technology Securely, Why is Cyber Security a Problem, Why Secure Your Browser, and Glossary of Cybersecurity Terms. A thank you to my wonderful wife Beth (Griffo) Nguyen and my amazing sons Taylor Nguyen and Ashton Nguyen for all their love and support, without their emotional support and help, none of these educational language eBooks and audios would be possible.
Author: Rob Botwright Publisher: Rob Botwright ISBN: 1839387696 Category : Computers Languages : en Pages : 204
Book Description
🚀 Dive into the world of Azure Networking with our comprehensive book bundle: "Azure Networking Command Line Mastery from Beginner to Architect"! 📚 Whether you're just starting your journey or aiming to become an expert architect, this bundle has everything you need to succeed. With four in-depth books covering all levels of expertise, you'll learn how to harness the power of the Command Line Interface (CLI) to master Azure networking like never before. 📘 Book 1: "Azure Networking Essentials: A Beginner's Guide to Command Line Basics" Get started with the basics of Azure networking and CLI commands. Learn how to create virtual networks, configure network security, and more with step-by-step guidance tailored for beginners. 📘 Book 2: "Mastering Azure CLI: Intermediate Techniques for Networking in the Cloud" Take your skills to the next level with intermediate techniques for managing Azure networking resources. Explore virtual network peering, Azure DNS configuration, and advanced CLI commands to enhance your networking capabilities. 📘 Book 3: "Advanced Azure Networking: Optimizing Performance and Security with CLI Mastery" Optimize performance and enhance security with advanced CLI mastery. Discover expert strategies for optimizing network performance, implementing granular security policies, and leveraging advanced features like Azure Firewall and Application Gateway. 📘 Book 4: "Azure Networking Architect: Expert Strategies and Best Practices for CLI Power Users" Become an expert architect with insider strategies and best practices for CLI power users. Design redundant and highly available network architectures, enforce governance policies, and unlock the full potential of Azure networking. With over 3000 characters of expert guidance, tips, and tricks, this book bundle is your ultimate companion for mastering Azure networking. Don't miss out on this opportunity to elevate your skills and become a networking architect! Get your copy today and start your journey to CLI mastery! 🌐💻
Author: Neha Singh Publisher: John Wiley & Sons ISBN: 1394227973 Category : Computers Languages : en Pages : 276
Book Description
Comprehensive resource covering tools and techniques used for predictive analytics with practical applications across various industries Intelligent Techniques for Predictive Data Analytics provides an in-depth introduction of the tools and techniques used for predictive analytics, covering applications in cyber security, network security, data mining, and machine learning across various industries. Each chapter offers a brief introduction on the subject to make the text accessible regardless of background knowledge. Readers will gain a clear understanding of how to use data processing, classification, and analysis to support strategic decisions, such as optimizing marketing strategies and customer relationship management and recommendation systems, improving general business operations, and predicting occurrence of chronic diseases for better patient management. Traditional data analytics uses dashboards to illustrate trends and outliers, but with large data sets, this process is labor-intensive and time-consuming. This book provides everything readers need to save time by performing deep, efficient analysis without human bias and time constraints. A section on current challenges in the field is also included. Intelligent Techniques for Predictive Data Analytics covers sample topics such as: Models to choose from in predictive modeling, including classification, clustering, forecast, outlier, and time series models Price forecasting, quality optimization, and insect and disease plant and monitoring in agriculture Fraud detection and prevention, credit scoring, financial planning, and customer analytics Big data in smart grids, smart grid analytics, and predictive smart grid quality monitoring, maintenance, and load forecasting Management of uncertainty in predictive data analytics and probable future developments in the field Intelligent Techniques for Predictive Data Analytics is an essential resource on the subject for professionals and researchers working in data science or data management seeking to understand the different models of predictive analytics, along with graduate students studying data science courses and professionals and academics new to the field.
Author: Goel, Pawan Kumar Publisher: IGI Global ISBN: Category : Computers Languages : en Pages : 290
Book Description
In the dynamic field of modern business, where cloud computing has become the primary focus of operations, a pressing issue arises the persistent concerns of security, privacy, and trust in cloud environments. Organizations find themselves at a crossroads, caught between the immense benefits of cloud adoption and the escalating challenges of safeguarding sensitive data and maintaining user trust. The need for a comprehensive and practical guide to navigate these intricate landscapes has never been more critical. Analyzing and Mitigating Security Risks in Cloud Computing is a groundbreaking guidebook tailored to address the very challenges that organizations face in securing their cloud infrastructures. With a focus on real-world examples, case studies, and industry best practices, the book equips its readers with actionable insights and tools to fortify their cloud security posture. From understanding the fundamentals of cloud computing to addressing emerging trends and implementing robust security strategies, the book serves as a holistic solution to bridge the knowledge gap and empower professionals at every level.
Author: Zahir Tari
Author: Zahir Tari
Author: Zahir Tari
Author: Diego Rodrigues
Author: Sanjay Goel
Author: Tarun Kumar Chawdhury
Author: Jean Nestor M. Dahj
Author: Nam H Nguyen
Author: Rob Botwright
Author: Neha Singh
Author: Goel, Pawan Kumar