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Author: Omar, Marwan
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 502
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Book Description
The exponential rise in digital transformation has brought unprecedented advances and complexities in cybersecurity and forensic practices. As cyber threats become increasingly sophisticated, traditional security measures alone are no longer sufficient to counter the dynamic landscape of cyber-attacks, data breaches, and digital fraud. The emergence of Artificial Intelligence (AI) has introduced powerful tools to enhance detection, response, and prevention capabilities in cybersecurity, providing a proactive approach to identifying potential threats and securing digital environments. In parallel, AI is transforming digital forensic practices by automating evidence collection, enhancing data analysis accuracy, and enabling faster incident response times. From anomaly detection and pattern recognition to predictive modeling, AI applications in cybersecurity and forensics hold immense promise for creating robust, adaptive defenses and ensuring timely investigation of cyber incidents. Integrating Artificial Intelligence in Cybersecurity and Forensic Practices explores the evolving role of AI in cybersecurity and forensic science. It delves into key AI techniques, discussing their applications, benefits, and challenges in tackling modern cyber threats and forensic investigations. Covering topics such as automation, deep neural networks, and traffic analysis, this book is an excellent resource for professionals, researchers, students, IT security managers, threat analysts, digital forensic investigators, and more.
Author: Omar, Marwan
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 502
Get Book Here
Book Description
The exponential rise in digital transformation has brought unprecedented advances and complexities in cybersecurity and forensic practices. As cyber threats become increasingly sophisticated, traditional security measures alone are no longer sufficient to counter the dynamic landscape of cyber-attacks, data breaches, and digital fraud. The emergence of Artificial Intelligence (AI) has introduced powerful tools to enhance detection, response, and prevention capabilities in cybersecurity, providing a proactive approach to identifying potential threats and securing digital environments. In parallel, AI is transforming digital forensic practices by automating evidence collection, enhancing data analysis accuracy, and enabling faster incident response times. From anomaly detection and pattern recognition to predictive modeling, AI applications in cybersecurity and forensics hold immense promise for creating robust, adaptive defenses and ensuring timely investigation of cyber incidents. Integrating Artificial Intelligence in Cybersecurity and Forensic Practices explores the evolving role of AI in cybersecurity and forensic science. It delves into key AI techniques, discussing their applications, benefits, and challenges in tackling modern cyber threats and forensic investigations. Covering topics such as automation, deep neural networks, and traffic analysis, this book is an excellent resource for professionals, researchers, students, IT security managers, threat analysts, digital forensic investigators, and more.
Author: Stephen Schneider
Publisher: Taylor & Francis
ISBN: 104022752X
Category : Social Science
Languages : en
Pages : 228
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Book Description
One of the most elusive pursuits in the study of organized crime is developing a definition, description, or conceptual model that captures its complexity, diversity, and ever-changing nature. This book takes a comprehensive approach to unraveling the intricacies and variations of organized crime, providing a detailed account of its many attributes. Based on a review of the theoretical literature, the author has created a holistic typology essential to understanding organized crime. The typology comprises 28 attributes divided into five thematic categories: associational (the relationship among the offenders that leads to some discernible structure), commercial (revenue-generating crimes), operational (support functions and expenditures), institutional (factors that sustain a criminal association and activities over time), and cultural/behavioral (the norms, values, and codes of organized crime and how they affect the actions of offenders). These categories are not simply used to classify the different attributes; each one represents a structural pillar of an organized criminal association. As a meta-analytical framework, the typology is the first to incorporate the foremost ways in which organized crime has been conceptualized in the literature: as an association of offenders, the crimes perpetrated, how organized crimes are carried out, and as a form of underworld governance. The book also adapts the static typology into a flexible and testable conceptual model that recognizes the many variations among organized criminal associations, and which can be used to determine when a group of offenders constitutes organized crime. Besides their theoretical and empirical purposes, the typology and conceptual model have been constructed as applied frameworks for informing strategic enforcement (setting priorities), tactical enforcement (targeting and denigrating the structural pillars of an organized criminal association), and policy purposes (as a basis for a comprehensive multi-sectoral control plan). This book is invaluable for students and scholars studying organized crime as well as criminal justice professionals looking for guidance on enforcement strategies and public policies.
Author: Karl Gilbert
Publisher: BPB Publications
ISBN: 9355518943
Category : Computers
Languages : en
Pages : 668
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Book Description
DESCRIPTION This book establishes a strong foundation by explaining core concepts like operating systems, networking, and databases. Understanding these systems forms the bedrock for comprehending security threats and vulnerabilities. The book gives aspiring information security professionals the knowledge and skills to confidently land their dream job in this dynamic field. This beginner-friendly cybersecurity guide helps you safely navigate the digital world. The reader will also learn about operating systems like Windows, Linux, and UNIX, as well as secure server management. We will also understand networking with TCP/IP and packet analysis, master SQL queries, and fortify databases against threats like SQL injection. Discover proactive security with threat modeling, penetration testing, and secure coding. Protect web apps from OWASP/SANS vulnerabilities and secure networks with pentesting and firewalls. Finally, explore cloud security best practices using AWS to identify misconfigurations and strengthen your cloud setup. The book will prepare you for cybersecurity job interviews, helping you start a successful career in information security. The book provides essential techniques and knowledge to confidently tackle interview challenges and secure a rewarding role in the cybersecurity field. KEY FEATURES ● Grasp the core security concepts like operating systems, networking, and databases. ● Learn hands-on techniques in penetration testing and scripting languages. ● Read about security in-practice and gain industry-coveted knowledge. WHAT YOU WILL LEARN ● Understand the fundamentals of operating systems, networking, and databases. ● Apply secure coding practices and implement effective security measures. ● Navigate the complexities of cloud security and secure CI/CD pipelines. ● Utilize Python, Bash, and PowerShell to automate security tasks. ● Grasp the importance of security awareness and adhere to compliance regulations. WHO THIS BOOK IS FOR If you are a fresher or an aspiring professional eager to kickstart your career in cybersecurity, this book is tailor-made for you. TABLE OF CONTENTS 1. UNIX, Linux, and Windows 2. Networking, Routing, and Protocols 3. Security of DBMS and SQL 4. Threat Modeling, Pentesting and Secure Coding 5. Application Security 6. Network Security 7. Cloud Security 8. Red and Blue Teaming Activities 9. Security in SDLC 10. Security in CI/CD 11. Firewalls, Endpoint Protections, Anti-Malware, and UTMs 12. Security Information and Event Management 13. Spreading Awareness 14. Law and Compliance in Cyberspace 15. Python, Bash, and PowerShell Proficiency
Author: Mamoun Alazab
Publisher: Springer
ISBN: 3030130576
Category : Computers
Languages : en
Pages : 260
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Book Description
Cybercrime remains a growing challenge in terms of security and privacy practices. Working together, deep learning and cyber security experts have recently made significant advances in the fields of intrusion detection, malicious code analysis and forensic identification. This book addresses questions of how deep learning methods can be used to advance cyber security objectives, including detection, modeling, monitoring and analysis of as well as defense against various threats to sensitive data and security systems. Filling an important gap between deep learning and cyber security communities, it discusses topics covering a wide range of modern and practical deep learning techniques, frameworks and development tools to enable readers to engage with the cutting-edge research across various aspects of cyber security. The book focuses on mature and proven techniques, and provides ample examples to help readers grasp the key points.
Author: Abufaizur Rahman Abusalih Rahumath Ali
Publisher: RK Publication
ISBN: 9348020196
Category : Science
Languages : en
Pages : 318
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Book Description
The Anatomy of a Cyber Attack multifaceted stages of cyber assaults, exploring how attackers breach systems, exploit vulnerabilities, and achieve their malicious objectives. The book breaks down the cyber-attack lifecycle, covering reconnaissance, delivery methods, exploitation, command-and-control, and data exfiltration. With real-world case studies and detailed analyses, it guides readers through each phase, highlighting defensive strategies and advanced threat mitigation techniques to prevent and respond to potential attacks. This resource equips cybersecurity professionals and enthusiasts with practical insights for strengthening their defenses against a constantly evolving cyber threat landscape.
Author: Leslie F. Sikos
Publisher: Springer
ISBN: 9783319988412
Category : Technology & Engineering
Languages : en
Pages : 0
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Book Description
This book presents a collection of state-of-the-art AI approaches to cybersecurity and cyberthreat intelligence, offering strategic defense mechanisms for malware, addressing cybercrime, and assessing vulnerabilities to yield proactive rather than reactive countermeasures. The current variety and scope of cybersecurity threats far exceed the capabilities of even the most skilled security professionals. In addition, analyzing yesterday’s security incidents no longer enables experts to predict and prevent tomorrow’s attacks, which necessitates approaches that go far beyond identifying known threats. Nevertheless, there are promising avenues: complex behavior matching can isolate threats based on the actions taken, while machine learning can help detect anomalies, prevent malware infections, discover signs of illicit activities, and protect assets from hackers. In turn, knowledge representation enables automated reasoning over network data, helping achieve cybersituational awareness. Bringing together contributions by high-caliber experts, this book suggests new research directions in this critical and rapidly growing field.
Author: Diego Rodrigues
Publisher: Diego Rodrigues
ISBN:
Category : Computers
Languages : en
Pages : 132
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Book Description
" ADVANCED DIGITAL FORENSICS: Techniques and Technologies for 2024" is the definitive guide for professionals and students who want to delve deeper into digital forensic analysis. This book offers a comprehensive and practical approach, covering everything from fundamentals to the most advanced techniques, with a focus on emerging technologies and threats in 2024. Written by Diego Rodrigues, a renowned consultant and author with extensive experience in market intelligence, technology, and innovation, this book stands out for its updated and practical approach. With 42 international certifications from institutions such as IBM, Google, Microsoft, AWS, Cisco, Boston University, EC-Council, Palo Alto, and META, Rodrigues brings a wealth of knowledge and insights to readers. About the Book: - Solid Fundamentals: Begin with the basic principles of digital forensics, establishing a robust foundation for advancing into more complex topics. - Modern Tools and Techniques: Learn to use the latest and most effective tools, such as Wireshark, Splunk, Cellebrite, and Magnet AXIOM, to capture and analyze critical data. - Forensics in Complex Environments: Explore the challenges and solutions for forensic analysis in modern networks, IoT devices, and cloud environments. - Advanced Threat Analysis: Understand how to investigate sophisticated attacks, including APTs and ransomware, using artificial intelligence and machine learning. - Practical Cases and Real Applications: Apply the knowledge gained in detailed case studies that reflect real-world scenarios and challenges faced by security professionals. - Recommended Practices: Follow best practices to ensure the integrity of evidence, legal compliance, and effectiveness in investigations. "Advanced Digital Forensics: Techniques and Technologies for 2024" is an indispensable resource for anyone looking to excel in the field of cybersecurity and digital forensics. Equipped with updated knowledge and recommended practices, you will be prepared to face the complex challenges of the modern digital world. Get your copy today and elevate your forensic skills to the next level! TAGS Digital Forensics Blockchain Cryptocurrencies Ransomware APTs Machine Learning Artificial Intelligence SIEM EDR Splunk Wireshark Cellebrite Magnet AXIOM Cloud Forensics AWS Azure Google Cloud Mobile Device Forensics IoT Cybersecurity Digital Investigation Network Forensic Analysis Tools Techniques Python Automation Tools SOAR Darktrace Critical Infrastructure Security Malware Analysis Blockchain Explorer Chainalysis Elliptic Audit Logs Data Recovery Techniques Reverse Engineering Cyber Threat Intelligence Tech Writing Storytelling Tech Book 2024 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
Author: Michael Roberts
Publisher: Richards Education
ISBN:
Category : Computers
Languages : en
Pages : 151
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Book Description
In 'Internet Security Handbook: Best Practices for Online Safety,' embark on a journey through the essential principles and techniques of safeguarding yourself and your organization from cyber threats. From understanding the evolving landscape of cyber attacks to implementing robust security measures across devices, networks, and applications, each chapter provides actionable insights and practical guidance. Whether you're a cybersecurity professional, IT administrator, or concerned individual, this handbook equips you with the knowledge needed to navigate the complex realm of internet security confidently. Stay ahead of threats, protect your data, and ensure a safe online experience with this comprehensive guide.
Author: Husain, Mohammad Shahid
Publisher: IGI Global
ISBN: 1799815609
Category : Computers
Languages : en
Pages : 292
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Book Description
Advancing technologies, especially computer technologies, have necessitated the creation of a comprehensive investigation and collection methodology for digital and online evidence. The goal of cyber forensics is to perform a structured investigation while maintaining a documented chain of evidence to find out exactly what happened on a computing device or on a network and who was responsible for it. Critical Concepts, Standards, and Techniques in Cyber Forensics is a critical research book that focuses on providing in-depth knowledge about online forensic practices and methods. Highlighting a range of topics such as data mining, digital evidence, and fraud investigation, this book is ideal for security analysts, IT specialists, software engineers, researchers, security professionals, criminal science professionals, policymakers, academicians, and students.
Author: Selvakumar Jeevarathinam
Publisher: Diamond Foyer Inc.
ISBN:
Category : Computers
Languages : en
Pages : 220
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Book Description
In today's interconnected world, where information is the lifeblood of businesses and governments, the importance of cybersecurity in network server devices cannot be overstated. Systematic investigations and robust defenses are essential to safeguard against the myriad threats that lurk within the vast realm of cyberspace. This comprehensive ebook delves into the scientific and technological uncertainties surrounding cybersecurity in network server devices and explores the measures necessary to counteract these threats.
