Advances In Malware And Data Driven Network Security
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Advances In Malware And Data Driven Network Security
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Author : Gupta, Brij B.
language : en
Publisher: IGI Global
Release Date : 2021-11-12
Advances In Malware And Data Driven Network Security 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 2021-11-12 with Computers categories.
Every day approximately three-hundred thousand to four-hundred thousand new malware are registered, many of them being adware and variants of previously known malware. Anti-virus companies and researchers cannot deal with such a deluge of malware – to analyze and build patches. The only way to scale the efforts is to build algorithms to enable machines to analyze malware and classify and cluster them to such a level of granularity that it will enable humans (or machines) to gain critical insights about them and build solutions that are specific enough to detect and thwart existing malware and generic-enough to thwart future variants. Advances in Malware and Data-Driven Network Security comprehensively covers data-driven malware security with an emphasis on using statistical, machine learning, and AI as well as the current trends in ML/statistical approaches to detecting, clustering, and classification of cyber-threats. Providing information on advances in malware and data-driven network security as well as future research directions, it is ideal for graduate students, academicians, faculty members, scientists, software developers, security analysts, computer engineers, programmers, IT specialists, and researchers who are seeking to learn and carry out research in the area of malware and data-driven network security.
Android Malware Detection Using Machine Learning
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Author : ElMouatez Billah Karbab
language : en
Publisher: Springer Nature
Release Date : 2021-07-10
Android Malware Detection Using Machine Learning written by ElMouatez Billah Karbab and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-10 with Computers categories.
The authors develop a malware fingerprinting framework to cover accurate android malware detection and family attribution in this book. The authors emphasize the following: (1) the scalability over a large malware corpus; (2) the resiliency to common obfuscation techniques; (3) the portability over different platforms and architectures. First, the authors propose an approximate fingerprinting technique for android packaging that captures the underlying static structure of the android applications in the context of bulk and offline detection at the app-market level. This book proposes a malware clustering framework to perform malware clustering by building and partitioning the similarity network of malicious applications on top of this fingerprinting technique. Second, the authors propose an approximate fingerprinting technique that leverages dynamic analysis and natural language processing techniques to generate Android malware behavior reports. Based on this fingerprinting technique, the authors propose a portable malware detection framework employing machine learning classification. Third, the authors design an automatic framework to produce intelligence about the underlying malicious cyber-infrastructures of Android malware. The authors then leverage graph analysis techniques to generate relevant intelligence to identify the threat effects of malicious Internet activity associated with android malware. The authors elaborate on an effective android malware detection system, in the online detection context at the mobile device level. It is suitable for deployment on mobile devices, using machine learning classification on method call sequences. Also, it is resilient to common code obfuscation techniques and adaptive to operating systems and malware change overtime, using natural language processing and deep learning techniques. Researchers working in mobile and network security, machine learning and pattern recognition will find this book useful as a reference. Advanced-level students studying computer science within these topic areas will purchase this book as well.
Advanced Malware Analysis
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Author : Christopher C. Elisan
language : en
Publisher: McGraw Hill Professional
Release Date : 2015-09-05
Advanced Malware Analysis written by Christopher C. Elisan and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-05 with Computers categories.
A one-of-a-kind guide to setting up a malware research lab, using cutting-edge analysis tools, and reporting the findings Advanced Malware Analysis is a critical resource for every information security professional's anti-malware arsenal. The proven troubleshooting techniques will give an edge to information security professionals whose job involves detecting, decoding, and reporting on malware. After explaining malware architecture and how it operates, the book describes how to create and configure a state-of-the-art malware research lab and gather samples for analysis. Then, you’ll learn how to use dozens of malware analysis tools, organize data, and create metrics-rich reports. A crucial tool for combatting malware—which currently hits each second globally Filled with undocumented methods for customizing dozens of analysis software tools for very specific uses Leads you through a malware blueprint first, then lab setup, and finally analysis and reporting activities Every tool explained in this book is available in every country around the world
Advances In Web Based Learning
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Author :
language : en
Publisher:
Release Date : 2005
Advances In Web Based Learning written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Education categories.
Accelerating National Defense Using Large Language Models Llm And Nlp For Real Time Semantic Correlation And De Duplication Of Shared Threat Indicators
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Author : Chukwunenye Amadi
language : en
Publisher: GRIN Verlag
Release Date : 2026-01-21
Accelerating National Defense Using Large Language Models Llm And Nlp For Real Time Semantic Correlation And De Duplication Of Shared Threat Indicators written by Chukwunenye Amadi and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-01-21 with Business & Economics categories.
Seminar paper from the year 2025 in the subject Computer Science - SEO, Search Engine Optimization, grade: 3.77 (very good), The University of York, course: Cyber Security, language: English, abstract: This research study examines the pivotal role of Large Language Models (LLMs) and Natural Language Processing (NLP) in transforming national defense intelligence operations faced with information overload. In the contemporary digital security landscape, defense agencies are inundated with vast volumes of unstructured, redundant, and fragmented threat data from diverse global sources, which hinders timely and accurate analysis. The study addresses this critical challenge by designing and evaluating an AI-driven framework specifically for the real-time semantic correlation and intelligent de-duplication of shared cyber threat indicators. Utilizing open-source and synthetic intelligence datasets, the proposed system employs advanced embedding techniques to understand contextual meaning, cluster related threats, and eliminate semantic redundancies. The results conclusively demonstrate that this LLM-based approach substantially outperforms conventional keyword-matching systems in both accuracy and processing speed. The integration of such semantic intelligence tools not only alleviates the cognitive burden on human analysts but also provides a clearer, more actionable intelligence picture, thereby accelerating response times and strengthening overall national cybersecurity posture and defense readiness.
Comptia Security Study Guide
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Author : Emmett Dulaney
language : en
Publisher: John Wiley & Sons
Release Date : 2017-10-23
Comptia Security Study Guide written by Emmett Dulaney and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-23 with Computers categories.
Some copies of CompTIA Security+ Study Guide: Exam SY0-501 (9781119416876) were printed without discount exam vouchers in the front of the books. If you did not receive a discount exam voucher with your book, please visit http://media.wiley.com/product_ancillary/5X/11194168/DOWNLOAD/CompTIA_Coupon.pdf to download one. Expert preparation covering 100% of Security+ exam SY0-501 objectives CompTIA Security+ Study Guide, Seventh Edition offers invaluable preparation for Exam SY0-501. Written by an expert author team, this book covers 100% of the exam objectives with clear, concise explanation. You'll learn how to handle threats, attacks, and vulnerabilities using industry-standard tools and technologies, while understanding the role of architecture and design. From everyday tasks like identity and access management to complex topics like risk management and cryptography, this study guide helps you consolidate your knowledge base in preparation for the Security+ exam. Practical examples illustrate how these processes play out in real-world scenarios, allowing you to immediately translate essential concepts to on-the-job application. You also gain access to the Sybex online learning environment, which features a robust toolkit for more thorough prep: flashcards, glossary of key terms, practice questions, and a pre-assessment exam equip you with everything you need to enter the exam confident in your skill set. This study guide is approved and endorsed by CompTIA, and has been fully updated to align with the latest version of the exam. Master essential security technologies, tools, and tasks Understand how Security+ concepts are applied in the real world Study on the go with electronic flashcards and more Test your knowledge along the way with hundreds of practice questions To an employer, the CompTIA Security+ certification proves that you have the knowledge base and skill set to secure applications, devices, and networks; analyze and respond to threats; participate in risk mitigation, and so much more. As data threats loom larger every day, the demand for qualified security professionals will only continue to grow. If you're ready to take the first step toward a rewarding career, CompTIA Security+ Study Guide, Seventh Edition is the ideal companion for thorough exam preparation.
Cism Certified Information Security Manager All In One Exam Guide
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Author : Peter H. Gregory
language : en
Publisher: McGraw Hill Professional
Release Date : 2018-03-19
Cism Certified Information Security Manager All In One Exam Guide written by Peter H. Gregory and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-19 with Computers categories.
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. This effective study guide provides 100% coverage of every topic on the latest version of the CISM exam Written by an information security executive consultant, experienced author, and university instructor, this highly effective integrated self-study system enables you to take the challenging CISM exam with complete confidence. CISM Certified Information Security Manager All-in-One Exam Guide covers all four exam domains developed by ISACA. You’ll find learning objectives at the beginning of each chapter, exam tips, practice questions, and in-depth explanations. All questions closely match those on the live test in tone, format, and content. “Note,” “Tip,” and “Caution” sections throughout provide real-world insight and call out potentially harmful situations. Beyond fully preparing you for the exam, the book also serves as a valuable on-the-job reference. Covers all exam domains, including: • Information security governance • Information risk management • Information security program development and management • Information security incident management Electronic content includes: • 400 practice exam questions • Test engine that provides full-length practice exams and customizable quizzes by exam topic • Secured book PDF
Data Driven Cybersecurity
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Author : Mariano Mattei
language : en
Publisher: Simon and Schuster
Release Date : 2025-08-26
Data Driven Cybersecurity written by Mariano Mattei and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-26 with Computers categories.
Measure, improve, and communicate the value of your security program. Every business decision should be driven by data—and cyber security is no exception. In Data-Driven Cybersecurity, you'll master the art and science of quantifiable cybersecurity, learning to harness data for enhanced threat detection, response, and mitigation. You’ll turn raw data into meaningful intelligence, better evaluate the performance of your security teams, and proactively address the vulnerabilities revealed by the numbers. Data-Driven Cybersecurity will teach you how to: • Align a metrics program with organizational goals • Design real-time threat detection dashboards • Predictive cybersecurity using AI and machine learning • Data-driven incident response • Apply the ATLAS methodology to reduce alert fatigue • Create compelling metric visualizations Data-Driven Cybersecurity teaches you to implement effective, data-driven cybersecurity practices—including utilizing AI and machine learning for detection and prediction. Throughout, the book presents security as a core part of organizational strategy, helping you align cyber security with broader business objectives. If you’re a CISO or security manager, you’ll find the methods for communicating metrics to non-technical stakeholders invaluable. Foreword by Joseph Steinberg. About the technology A data-focused approach to cybersecurity uses metrics, analytics, and automation to detect threats earlier, respond faster, and align security with business goals. About the book Data-Driven Cybersecurity shows you how to turn complex security metrics into evidence-based security practices. You’ll learn to define meaningful KPIs, communicate risk to stakeholders, and turn complex data into clear action. You’ll begin by answering the important questions: what makes a “good” security metric? How can I align security with broader business objectives? What makes a robust data-driven security management program? Python scripts and Jupyter notebooks make collecting security data easy and help build a real-time threat detection dashboards. You’ll even see how AI and machine learning can proactively predict cybersecurity incidents! What's inside • Improve your alert system using the ATLAS framework • Elevate your organization’s security posture • Statistical and ML techniques for threat detection • Executive buy-in and strategic investment About the reader For readers familiar with the basics of cybersecurity and data analysis. About the author Mariano Mattei is a professor at Temple University and an information security professional with over 30 years of experience in cybersecurity and AI innovation. Table of Contents Part 1 Building the foundation 1 Introducing cybersecurity metrics 2 Cybersecurity analytics toolkit 3 Implementing a security metrics program 4 Integrating metrics into business strategy Part 2 The metrics that matter 5 Establishing the foundation 6 Foundations of cyber risk 7 Protecting your assets 8 Continuous threat detection 9 Incident management and recovery Part 3 Beyond the basics: Advanced analytics, machine learning and AI 10 Advanced cybersecurity metrics 11 Advanced statistical analysis 12 Advanced machine learning analysis 13 Generative AI in cybersecurity metrics
Cism Certified Information Security Manager Bundle
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Author : Peter H. Gregory
language : en
Publisher: McGraw Hill Professional
Release Date : 2019-10-16
Cism Certified Information Security Manager Bundle written by Peter H. Gregory and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-16 with Computers categories.
This cost-effective study bundle contains two books and bonus online content to use in preparation for the CISM exam Take ISACA’s challenging Certified Information Security Manager exam with confidence using this comprehensive self-study package. Comprised of CISM Certified Information Security Manager All-in-One Exam Guide, CISM Certified Information Security Manager Practice Exams, and bonus digital content, this bundle contains 100% coverage of every domain on the current exam. Readers will get real-world examples, professional insights, and concise explanations. CISM Certified Information Security Manager Bundle contains practice questions that match those on the live exam in content, style, tone, format, and difficulty. Every domain on the test is covered, including information security governance, information risk management, security program development and management, and information security incident management. This authoritative bundle serves both as a study tool AND a valuable on-the-job reference for security professionals. Readers will save 22% compared to buying the two books separately Online content includes 550 accurate practice exam questions and a quick review guide Written by an IT expert and experienced author
Data Mining Intrusion Detection Information Assurance And Data Networks Security
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Author :
language : en
Publisher:
Release Date : 2007
Data Mining Intrusion Detection Information Assurance And Data Networks Security written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Data mining categories.