Cyber Threat Intelligence 2024 Edition

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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

Cyber Threat Intelligence

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Author : Ali Dehghantanha
language : en
Publisher: Springer
Release Date : 2018-04-27

Cyber Threat Intelligence written by Ali Dehghantanha and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-27 with Computers categories.

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.

Practical Threat Intelligence And Data Driven Threat Hunting

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Author : Valentina Costa-Gazcón
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-02-12

Practical Threat Intelligence And Data Driven Threat Hunting written by Valentina Costa-Gazcón 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 2021-02-12 with Computers categories.

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.

Ai Driven Healthcare Cybersecurity And Privacy

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Author : Kulkarni, Shrikaant
language : en
Publisher: IGI Global
Release Date : 2025-04-23

Ai Driven Healthcare Cybersecurity And Privacy written by Kulkarni, Shrikaant and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-23 with Medical categories.

As healthcare systems adopt advanced technologies like electronic health records, telemedicine, and wearable health devices, the volume of sensitive information grows, making it a target for cyberattacks. Artificial intelligence (AI) enhances security by offering real-time threat detection, anomaly identification, and adaptive defenses that can anticipate and counter cyber threats. AI plays a pivotal role in ensuring privacy by implementing advanced encryption techniques, access controls, and compliance monitoring, all while maintaining patient care. Further research of the integration of AI into healthcare cybersecurity strategies may assist organizations in strengthening their defenses, protecting patient confidentiality, and ensuring regulatory compliance in a digital landscape. AI-Driven Healthcare Cybersecurity and Privacy explores the integration of intelligent technologies into medical data security and privacy. It examines the role of AI in securing patients’ medical information, as well as organizational privacy techniques for broader healthcare systems. This book covers topics such as federated learning, deep learning, and cloud technology, and is a useful resource for engineers, computer and data scientists, security professionals, medical and healthcare workers, academicians, and researchers.

Ai Enhanced Cybersecurity For Industrial Automation

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Author : Pandey, Hari Mohan
language : en
Publisher: IGI Global
Release Date : 2025-05-09

Ai Enhanced Cybersecurity For Industrial Automation written by Pandey, Hari Mohan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-09 with Computers categories.

As industrial automation systems become reliant on digital technologies, they face growing threats from sophisticated cyberattacks. Traditional cybersecurity measures often struggle to keep up with the evolving threat landscape, leaving critical infrastructure vulnerable. AI-enhanced cybersecurity offers a promising solution by leveraging machine learning and intelligent algorithms to detect, respond to, and even predict cyber threats in real time. By integrating AI into industrial cybersecurity frameworks, organizations can strengthen their defenses, ensure operational continuity, and protect valuable assets from malicious threats. AI-Enhanced Cybersecurity for Industrial Automation explores the integration of AI and cybersecurity in industry 5.0, emphasizing sustainability, resilience, and ethical considerations. It examines how industry 5.0 extends beyond automation and efficiency by incorporating human-centric, sustainable, and intelligent technologies into industrial ecosystems. This book covers topics such as blockchain, industrial engineering, and machine learning, and is a useful resource for computer engineers, business owners, security professionals, academicians, researchers, and scientists.

Revolutionizing Cybersecurity With Deep Learning And Large Language Models

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Author : Zangana, Hewa Majeed
language : en
Publisher: IGI Global
Release Date : 2025-04-08

Revolutionizing Cybersecurity With Deep Learning And Large Language Models written by Zangana, Hewa Majeed and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-08 with Computers categories.

As cyber threats grow, national security measures struggle to keep pace with sophisticated attacks. Deep learning and large language models (LLMs) revolutionize cybersecurity by enabling advanced threat detection automated response mechanisms and analytics. AI technologies can analyze vast amounts of data, recognize patterns, and identify threats to security systems. Using deep learning and LLMs to transform cybersecurity is essential for addressing both their potential and the challenges that come with their adoption. Revolutionizing Cybersecurity With Deep Learning and Large Language Models explores the intersection of AI, cybersecurity, deep learning, and LLMs, and the potential of these technologies in safeguarding the digital world. It examines real-world applications, ethical challenges, and new technological advancements. This book covers topics such as artificial intelligence, cybersecurity, and threat detection, and is a useful resource for academicians, researchers, security professionals, computer engineers, and data scientists.

Sustainable Information Security In The Age Of Ai And Green Computing

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Author : Gupta, Brij B.
language : en
Publisher: IGI Global
Release Date : 2025-05-13

Sustainable Information Security In The Age Of Ai And Green Computing written by Gupta, Brij B. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-13 with Computers categories.

The convergence of artificial intelligence (AI), green computing, and information security can create sustainable, efficient, and secure IT systems. That is, the latest advancements in leveraging AI may minimize environmental impact, optimize resource usage, and bolster cybersecurity within green IT frameworks. Thus, a holistic view of AI can drive sustainable innovation in computing and information systems. This is important for raising awareness about the importance of sustainability in the tech industry and promoting the adoption of green computing practices among IT professionals and organizations. Sustainable Information Security in the Age of AI and Green Computing contributes to a deeper understanding of the synergies between AI, green computing, and information security, highlighting how these fields can work together to create more sustainable and secure systems. By presenting cutting-edge research, practical solutions, and future trends, the book inspires new ideas and developments in sustainable IT practices and technologies. Covering topics such as digital ecosystems, malware detection, and carbon emission optimization, this book is an excellent resource for IT managers, data center operators, software developers, cybersecurity experts, policymakers, corporate decision-makers, professionals, researchers, scholars, academicians, and more.

Vulnerabilities Assessment And Risk Management In Cyber Security

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Author : Hussain, Khalid
language : en
Publisher: IGI Global
Release Date : 2025-04-08

Vulnerabilities Assessment And Risk Management In Cyber Security written by Hussain, Khalid and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-08 with Computers categories.

Vulnerability assessment and risk management are critical components of cybersecurity, focusing on identifying, evaluating, and mitigating potential threats to an organization’s digital infrastructure. As cyberattacks become more sophisticated, understanding vulnerabilities in software, hardware, or networks is essential for preventing breaches and safeguarding sensitive data. Risk management analyzes the potential impact of these vulnerabilities and implements strategies to minimize exposure to cyber threats. By addressing both vulnerabilities and risks, organizations can enhance their resilience, prioritize resources, and ensure a strong defense against new cyber challenges. Vulnerabilities Assessment and Risk Management in Cyber Security explores the use of cyber technology in threat detection and risk mitigation. It offers various solutions to detect cyber-attacks, create robust risk management strategies, and secure organizational and individual data. This book covers topics such as cloud computing, data science, and knowledge discovery, and is a useful resource for computer engineers, data scientists, security professionals, business owners, researchers, and academicians.

Cybersecurity

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Author : Isabel Praça
language : en
Publisher: Springer Nature
Release Date : 2025-06-13

Cybersecurity written by Isabel Praça and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-13 with Computers categories.

This book constitutes the proceedings of the 9th European Interdisciplinary Cybersecurity Conference, EICC 2025, which took place in Rennes, France, during June 18–19, 2025. The 21 full papers and 2 short papers included in these proveedings were carefully reviewed and selected from 39 submissions. They were organized in topical sections as follows: Artificial intelligence applied to cybersecurity; cybercrime and cyberthreats; cybersecurity; software development security; advances in interdisciplinary cybersecurity: insights from funded reserach projects - CyFRP 2025 special session; complex network analysis for cybersecurity - CNACYS 2025 special session; medical device security and privacy - MeDSec 2025 special session; MDCG guidance; threshold multiparty private set intersection.

Improving Threat Detection Network Security And Incident Response With Ai

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Author : Lutfi, Abdalwali
language : en
Publisher: IGI Global
Release Date : 2025-07-03

Improving Threat Detection Network Security And Incident Response With Ai written by Lutfi, Abdalwali and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-03 with Computers categories.

Artificial intelligence (AI) strengthens cybersecurity by enhancing threat detection, fortifying network security, and streamlining incident response. Traditional security systems often struggle to manage modern cyber threats. AI addresses this challenge by analyzing data in real-time, identifying patterns and anomalies that may indicate malicious activity. Machine learning algorithms detect attacks and threats faster than humans, allowing organizations to respond proactively. In network security, AI helps in monitoring traffic, predicting vulnerabilities, and automatically implementing protective measures. AI-driven incident response tools assess the breaches, contain threats, and initiate recovery protocols. As cyber threats evolve, integrating AI into security infrastructure is essential for maintaining resilience in the digital age. Improving Threat Detection, Network Security, and Incident Response With AI explores the role of AI in cybersecurity, focusing on its applications in threat detection, malware analysis, network security, and incident response. It examines key AI techniques such as machine learning, deep learning, and natural language processing (NLP) that are transforming cybersecurity operations. This book covers topics such as robotics, software engineering, and behavioral analysis, and is a useful resource for computer engineers, security professionals, academicians, researchers, and data scientists.