CYBER THREAT INTELLIGENCE 2024 Edition
CYBER THREAT INTELLIGENCE 2024 Edition

Author: Diego Rodrigues

Publisher: Diego Rodrigues

Published: 2024-10-16

Total Pages: 217

ISBN-13:

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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

Cyber Threat Intelligence
Cyber Threat Intelligence

Author: Ali Dehghantanha

Publisher: Springer

Published: 2018-04-27

Total Pages: 334

ISBN-13: 3319739514

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This book provides readers with up-to-date research of emerging cyber threats and defensive mechanisms, which are timely and essential. It covers cyber threat intelligence concepts against a range of threat actors and threat tools (i.e. ransomware) in cutting-edge technologies, i.e., Internet of Things (IoT), Cloud computing and mobile devices. This book also provides the technical information on cyber-threat detection methods required for the researcher and digital forensics experts, in order to build intelligent automated systems to fight against advanced cybercrimes. The ever increasing number of cyber-attacks requires the cyber security and forensic specialists to detect, analyze and defend against the cyber threats in almost real-time, and with such a large number of attacks is not possible without deeply perusing the attack features and taking corresponding intelligent defensive actions – this in essence defines cyber threat intelligence notion. However, such intelligence would not be possible without the aid of artificial intelligence, machine learning and advanced data mining techniques to collect, analyze, and interpret cyber-attack campaigns which is covered in this book. This book will focus on cutting-edge research from both academia and industry, with a particular emphasis on providing wider knowledge of the field, novelty of approaches, combination of tools and so forth to perceive reason, learn and act on a wide range of data collected from different cyber security and forensics solutions. This book introduces the notion of cyber threat intelligence and analytics and presents different attempts in utilizing machine learning and data mining techniques to create threat feeds for a range of consumers. Moreover, this book sheds light on existing and emerging trends in the field which could pave the way for future works. The inter-disciplinary nature of this book, makes it suitable for a wide range of audiences with backgrounds in artificial intelligence, cyber security, forensics, big data and data mining, distributed systems and computer networks. This would include industry professionals, advanced-level students and researchers that work within these related fields.

Collaborative Cyber Threat Intelligence
Collaborative Cyber Threat Intelligence

Author: Florian Skopik

Publisher: CRC Press

Published: 2017-10-16

Total Pages: 430

ISBN-13: 1315397897

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Threat intelligence is a surprisingly complex topic that goes far beyond the obvious technical challenges of collecting, modelling and sharing technical indicators. Most books in this area focus mainly on technical measures to harden a system based on threat intel data and limit their scope to single organizations only. This book provides a unique angle on the topic of national cyber threat intelligence and security information sharing. It also provides a clear view on ongoing works in research laboratories world-wide in order to address current security concerns at national level. It allows practitioners to learn about upcoming trends, researchers to share current results, and decision makers to prepare for future developments.

Darkweb Cyber Threat Intelligence Mining
Darkweb Cyber Threat Intelligence Mining

Author: John Robertson

Publisher: Cambridge University Press

Published: 2017-04-04

Total Pages: 149

ISBN-13: 1316949311

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The important and rapidly emerging new field known as 'cyber threat intelligence' explores the paradigm that defenders of computer networks gain a better understanding of their adversaries by understanding what assets they have available for an attack. In this book, a team of experts examines a new type of cyber threat intelligence from the heart of the malicious hacking underworld - the dark web. These highly secure sites have allowed anonymous communities of malicious hackers to exchange ideas and techniques, and to buy/sell malware and exploits. Aimed at both cybersecurity practitioners and researchers, this book represents a first step toward a better understanding of malicious hacking communities on the dark web and what to do about them. The authors examine real-world darkweb data through a combination of human and automated techniques to gain insight into these communities, describing both methodology and results.

Cyber Threat Intelligence
Cyber Threat Intelligence

Author: Aaron Roberts

Publisher: Apress

Published: 2021-08-10

Total Pages: 207

ISBN-13: 9781484272190

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Understand the process of setting up a successful cyber threat intelligence (CTI) practice within an established security team. This book shows you how threat information that has been collected, evaluated, and analyzed is a critical component in protecting your organization’s resources. Adopting an intelligence-led approach enables your organization to nimbly react to situations as they develop. Security controls and responses can then be applied as soon as they become available, enabling prevention rather than response. There are a lot of competing approaches and ways of working, but this book cuts through the confusion. Author Aaron Roberts introduces the best practices and methods for using CTI successfully. This book will help not only senior security professionals, but also those looking to break into the industry. You will learn the theories and mindset needed to be successful in CTI. This book covers the cybersecurity wild west, the merits and limitations of structured intelligence data, and how using structured intelligence data can, and should, be the standard practice for any intelligence team. You will understand your organizations’ risks, based on the industry and the adversaries you are most likely to face, the importance of open-source intelligence (OSINT) to any CTI practice, and discover the gaps that exist with your existing commercial solutions and where to plug those gaps, and much more. What You Will Learn Know the wide range of cybersecurity products and the risks and pitfalls aligned with blindly working with a vendor Understand critical intelligence concepts such as the intelligence cycle, setting intelligence requirements, the diamond model, and how to apply intelligence to existing security information Understand structured intelligence (STIX) and why it’s important, and aligning STIX to ATT&CK and how structured intelligence helps improve final intelligence reporting Know how to approach CTI, depending on your budget Prioritize areas when it comes to funding and the best approaches to incident response, requests for information, or ad hoc reporting Critically evaluate services received from your existing vendors, including what they do well, what they don’t do well (or at all), how you can improve on this, the things you should consider moving in-house rather than outsourcing, and the benefits of finding and maintaining relationships with excellent vendors Who This Book Is For Senior security leaders in charge of cybersecurity teams who are considering starting a threat intelligence team, those considering a career change into cyber threat intelligence (CTI) who want a better understanding of the main philosophies and ways of working in the industry, and security professionals with no prior intelligence experience but have technical proficiency in other areas (e.g., programming, security architecture, or engineering)

Intelligence-Driven Incident Response
Intelligence-Driven Incident Response

Author: Scott J Roberts

Publisher: "O'Reilly Media, Inc."

Published: 2017-08-21

Total Pages: 286

ISBN-13: 1491935197

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Using a well-conceived incident response plan in the aftermath of an online security breach enables your team to identify attackers and learn how they operate. But, only when you approach incident response with a cyber threat intelligence mindset will you truly understand the value of that information. With this practical guide, you’ll learn the fundamentals of intelligence analysis, as well as the best ways to incorporate these techniques into your incident response process. Each method reinforces the other: threat intelligence supports and augments incident response, while incident response generates useful threat intelligence. This book helps incident managers, malware analysts, reverse engineers, digital forensics specialists, and intelligence analysts understand, implement, and benefit from this relationship. In three parts, this in-depth book includes: The fundamentals: get an introduction to cyber threat intelligence, the intelligence process, the incident-response process, and how they all work together Practical application: walk through the intelligence-driven incident response (IDIR) process using the F3EAD process—Find, Fix Finish, Exploit, Analyze, and Disseminate The way forward: explore big-picture aspects of IDIR that go beyond individual incident-response investigations, including intelligence team building

Practical Threat Intelligence and Data-Driven Threat Hunting
Practical Threat Intelligence and Data-Driven Threat Hunting

Author: Valentina Costa-Gazcón

Publisher: Packt Publishing Ltd

Published: 2021-02-12

Total Pages: 398

ISBN-13: 1838551638

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Get to grips with cyber threat intelligence and data-driven threat hunting while exploring expert tips and techniques Key Features Set up an environment to centralize all data in an Elasticsearch, Logstash, and Kibana (ELK) server that enables threat hunting Carry out atomic hunts to start the threat hunting process and understand the environment Perform advanced hunting using MITRE ATT&CK Evals emulations and Mordor datasets Book DescriptionThreat hunting (TH) provides cybersecurity analysts and enterprises with the opportunity to proactively defend themselves by getting ahead of threats before they can cause major damage to their business. This book is not only an introduction for those who don’t know much about the cyber threat intelligence (CTI) and TH world, but also a guide for those with more advanced knowledge of other cybersecurity fields who are looking to implement a TH program from scratch. You will start by exploring what threat intelligence is and how it can be used to detect and prevent cyber threats. As you progress, you’ll learn how to collect data, along with understanding it by developing data models. The book will also show you how to set up an environment for TH using open source tools. Later, you will focus on how to plan a hunt with practical examples, before going on to explore the MITRE ATT&CK framework. By the end of this book, you’ll have the skills you need to be able to carry out effective hunts in your own environment.What you will learn Understand what CTI is, its key concepts, and how it is useful for preventing threats and protecting your organization Explore the different stages of the TH process Model the data collected and understand how to document the findings Simulate threat actor activity in a lab environment Use the information collected to detect breaches and validate the results of your queries Use documentation and strategies to communicate processes to senior management and the wider business Who this book is for If you are looking to start out in the cyber intelligence and threat hunting domains and want to know more about how to implement a threat hunting division with open-source tools, then this cyber threat intelligence book is for you.

KALI LINUX CYBER THREAT INTELLIGENCE
KALI LINUX CYBER THREAT INTELLIGENCE

Author: Diego Rodrigues

Publisher: Diego Rodrigues

Published: 2024-11-01

Total Pages: 157

ISBN-13:

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Welcome to "KALI LINUX CYBER THREAT INTELLIGENCE: An Essential Guide for Students and Professionals - CyberExtreme 2024," the definitive guide for those looking to master cyber threat intelligence with one of the most powerful tools available on the market: Kali Linux. Written by Diego Rodrigues, international best-selling author with over 140 titles published in six languages, this book offers a comprehensive and practical journey for students and professionals seeking to explore the depths of Cyber Threat Intelligence (CTI) and tackle the challenges of modern cybersecurity. With a practical and didactic approach, this guide covers everything from the fundamentals of threat intelligence to the application of advanced techniques, using Kali Linux as the central tool for data collection and analysis. Through this book, you will be guided by practical examples and case studies that will help you apply the knowledge acquired directly in real-world scenarios. You will learn to: Use powerful Kali Linux tools such as Nmap, Wireshark, Maltego, and others to map and monitor threats. Apply widely adopted frameworks like MITRE ATT&CK to identify attack patterns and mitigate risks. Implement malware analysis techniques, open-source intelligence (OSINT), dark web monitoring, and reverse engineering. Automate CTI processes with Python and enhance your real-time incident response capabilities. Whether you're new to the field or an experienced professional, this book is designed to maximize your abilities, offer practical insights, and prepare you for future cyber threats. The content is specially developed to provide a fast and effective learning experience, with a focus on immediate applications in the digital security field. Get ready to elevate your cybersecurity knowledge and stand out in a highly competitive market with Kali Linux. This is your essential guide to mastering cyber threat intelligence and protecting the digital environment from today's most sophisticated threats. 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 Kali Linux Nmap Metasploit Wireshark information security pen test cybersecurity Linux distributions ethical hacking vulnerability analysis system exploration wireless attacks web application security malware analysis social engineering Android iOS Social Engineering Toolkit SET computer science IT professionals cybersecurity careers cybersecurity expertise cybersecurity library cybersecurity training Linux operating systems cybersecurity tools ethical hacking tools security testing penetration test cycle security concepts mobile security cybersecurity fundamentals cybersecurity techniques cybersecurity skills cybersecurity industry global cybersecurity trends Kali Linux tools cybersecurity education cybersecurity innovation penetration test tools cybersecurity best practices global cybersecurity companies cybersecurity solutions IBM Google Microsoft AWS Cisco Oracle cybersecurity consulting cybersecurity framework network security cybersecurity courses cybersecurity tutorials Linux security cybersecurity challenges cybersecurity landscape cloud security cybersecurity threats cybersecurity compliance cybersecurity research cybersecurity technology

Cyber-Physical Threat Intelligence for Critical Infrastructures Security
Cyber-Physical Threat Intelligence for Critical Infrastructures Security

Author: John Soldatos

Publisher:

Published: 2020-06-30

Total Pages: 450

ISBN-13: 9781680836868

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Modern critical infrastructures comprise of many interconnected cyber and physical assets, and as such are large scale cyber-physical systems. Hence, the conventional approach of securing these infrastructures by addressing cyber security and physical security separately is no longer effective. Rather more integrated approaches that address the security of cyber and physical assets at the same time are required. This book presents integrated (i.e. cyber and physical) security approaches and technologies for the critical infrastructures that underpin our societies. Specifically, it introduces advanced techniques for threat detection, risk assessment and security information sharing, based on leading edge technologies like machine learning, security knowledge modelling, IoT security and distributed ledger infrastructures. Likewise, it presets how established security technologies like Security Information and Event Management (SIEM), pen-testing, vulnerability assessment and security data analytics can be used in the context of integrated Critical Infrastructure Protection. The novel methods and techniques of the book are exemplified in case studies involving critical infrastructures in four industrial sectors, namely finance, healthcare, energy and communications. The peculiarities of critical infrastructure protection in each one of these sectors is discussed and addressed based on sector-specific solutions. The advent of the fourth industrial revolution (Industry 4.0) is expected to increase the cyber-physical nature of critical infrastructures as well as their interconnection in the scope of sectorial and cross-sector value chains. Therefore, the demand for solutions that foster the interplay between cyber and physical security, and enable Cyber-Physical Threat Intelligence is likely to explode. In this book, we have shed light on the structure of such integrated security systems, as well as on the technologies that will underpin their operation. We hope that Security and Critical Infrastructure Protection stakeholders will find the book useful when planning their future security strategies.