Behavior Based Malware Detection

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Malware Detection

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Author : Mihai Christodorescu
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-03-06

Malware Detection written by Mihai Christodorescu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-03-06 with Computers categories.

This book captures the state of the art research in the area of malicious code detection, prevention and mitigation. It contains cutting-edge behavior-based techniques to analyze and detect obfuscated malware. The book analyzes current trends in malware activity online, including botnets and malicious code for profit, and it proposes effective models for detection and prevention of attacks using. Furthermore, the book introduces novel techniques for creating services that protect their own integrity and safety, plus the data they manage.

Behavior Based Malware Detection

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Author : Mihai Christodorescu
language : en
Publisher:
Release Date : 2007

Behavior Based Malware Detection written by Mihai Christodorescu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.

Data Science For Malware Analysis

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Author : Shane Molinari
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-12-15

Data Science For Malware Analysis written by Shane Molinari 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 2023-12-15 with Computers categories.

Unlock the secrets of malware data science with cutting-edge techniques, AI-driven analysis, and international compliance standards to stay ahead of the ever-evolving cyber threat landscape Key Features Get introduced to three primary AI tactics used in malware and detection Leverage data science tools to combat critical cyber threats Understand regulatory requirements for using AI in cyber threat management Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn today's world full of online threats, the complexity of harmful software presents a significant challenge for detection and analysis. This insightful guide will teach you how to apply the principles of data science to online security, acting as both an educational resource and a practical manual for everyday use. Data Science for Malware Analysis starts by explaining the nuances of malware, from its lifecycle to its technological aspects before introducing you to the capabilities of data science in malware detection by leveraging machine learning, statistical analytics, and social network analysis. As you progress through the chapters, you’ll explore the analytical methods of reverse engineering, machine language, dynamic scrutiny, and behavioral assessments of malicious software. You’ll also develop an understanding of the evolving cybersecurity compliance landscape with regulations such as GDPR and CCPA, and gain insights into the global efforts in curbing cyber threats. By the end of this book, you’ll have a firm grasp on the modern malware lifecycle and how you can employ data science within cybersecurity to ward off new and evolving threats.What you will learn Understand the science behind malware data and its management lifecycle Explore anomaly detection with signature and heuristics-based methods Analyze data to uncover relationships between data points and create a network graph Discover methods for reverse engineering and analyzing malware Use ML, advanced analytics, and data mining in malware data analysis and detection Explore practical insights and the future state of AI's use for malware data science Understand how NLP AI employs algorithms to analyze text for malware detection Who this book is for This book is for cybersecurity experts keen on adopting data-driven defense methods. Data scientists will learn how to apply their skill set to address critical security issues, and compliance officers navigating global regulations like GDPR and CCPA will gain indispensable insights. Academic researchers exploring the intersection of data science and cybersecurity, IT decision-makers overseeing organizational strategy, and tech enthusiasts eager to understand modern cybersecurity will also find plenty of useful information in this guide. A basic understanding of cybersecurity and information technology is a prerequisite.

Intelligent Computing

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Author : Kohei Arai
language : en
Publisher: Springer
Release Date : 2018-11-01

Intelligent Computing written by Kohei Arai and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-01 with Technology & Engineering categories.

This book, gathering the Proceedings of the 2018 Computing Conference, offers a remarkable collection of chapters covering a wide range of topics in intelligent systems, computing and their real-world applications. The Conference attracted a total of 568 submissions from pioneering researchers, scientists, industrial engineers, and students from all around the world. These submissions underwent a double-blind peer review process. Of those 568 submissions, 192 submissions (including 14 poster papers) were selected for inclusion in these proceedings. Despite computer science’s comparatively brief history as a formal academic discipline, it has made a number of fundamental contributions to science and society—in fact, along with electronics, it is a founding science of the current epoch of human history (‘the Information Age’) and a main driver of the Information Revolution. The goal of this conference is to provide a platform for researchers to present fundamental contributions, and to be a premier venue for academic and industry practitioners to share new ideas and development experiences. This book collects state of the art chapters on all aspects of Computer Science, from classical to intelligent. It covers both the theory and applications of the latest computer technologies and methodologies. Providing the state of the art in intelligent methods and techniques for solving real-world problems, along with a vision of future research, the book will be interesting and valuable for a broad readership.

Detection Of Intrusions And Malware And Vulnerability Assessment

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Author : Magnus Almgren
language : en
Publisher: Springer
Release Date : 2015-06-22

Detection Of Intrusions And Malware And Vulnerability Assessment written by Magnus Almgren and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-22 with Computers categories.

This book constitutes the refereed proceedings of the 12th International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, DIMVA 2015, held in Milan, Italy, in July 2015. The 17 revised full papers presented were carefully reviewed and selected from 75 submissions. The papers are organized in topical sections on attacks, attack detection, binary analysis and mobile malware protection, social networks and large-scale attacks, Web and mobile security, and provenance and data sharing.

Malware Analysis Using Artificial Intelligence And Deep Learning

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Author : Mark Stamp
language : en
Publisher: Springer Nature
Release Date : 2020-12-20

Malware Analysis Using Artificial Intelligence And Deep Learning written by Mark Stamp and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-20 with Computers categories.

​This book is focused on the use of deep learning (DL) and artificial intelligence (AI) as tools to advance the fields of malware detection and analysis. The individual chapters of the book deal with a wide variety of state-of-the-art AI and DL techniques, which are applied to a number of challenging malware-related problems. DL and AI based approaches to malware detection and analysis are largely data driven and hence minimal expert domain knowledge of malware is needed. This book fills a gap between the emerging fields of DL/AI and malware analysis. It covers a broad range of modern and practical DL and AI techniques, including frameworks and development tools enabling the audience to innovate with cutting-edge research advancements in a multitude of malware (and closely related) use cases.

Machine Learning And Ai For Cybersecurity Enhancing Threat Detection And Response

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Author : SHANMUGAM MUTHU
language : en
Publisher: RK Publication
Release Date :

Machine Learning And Ai For Cybersecurity Enhancing Threat Detection And Response written by SHANMUGAM MUTHU and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

Machine Learning and AI for Cybersecurity: Enhancing Threat Detection and Response explores how cutting-edge artificial intelligence and machine learning technologies are revolutionizing cybersecurity. This book provides a comprehensive overview of AI-driven threat detection, behavior-based anomaly analysis, and automated incident response systems. Covering key techniques such as deep learning, natural language processing, and reinforcement learning, it highlights real-world applications in malware detection, intrusion prevention, and phishing defense. Designed for researchers, professionals, and students, the book bridges the gap between theory and practice, offering practical insights into deploying intelligent cybersecurity solutions in an increasingly complex digital landscape.

13th International Conference On Information Systems And Advanced Technologies Icisat 2023

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Author : Mohamed Ridda Laouar
language : en
Publisher: Springer Nature
Release Date : 2024-07-30

13th International Conference On Information Systems And Advanced Technologies Icisat 2023 written by Mohamed Ridda Laouar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-30 with Computers categories.

This book covers the Proceedings of the 13th International Conference on Information Systems and Advanced Technologies “ICISAT’2023.” One of the evocative and valuable dimensions of this conference is the way it brings together researchers, scientists, academics, and engineers in the field from different countries and enables discussions and debate of relevant issues, challenges, opportunities, and research findings. The ICISAT’2023 conference provided a forum for research and developments in the field of information systems and advanced technologies and new trends in developing information systems organizational aspects of their development and intelligent aspects of the final product. The aim of the ICISAT’2023 is to report progress and development of methodologies, technologies, planning and implementation, tools, and standards in information systems, technologies, and sciences. ICISAT’2023 aims at addressing issues related to the intelligent information, data science, and decision support system, from multidisciplinary perspectives and to discuss the research, teaching, and professional practice in the field. The book of ICISAT’2023 includes selected papers from the 13th International Conference on Information Systems and Advanced Technologies “ICISAT’2023,” organized during December 29–30, 2023. In this book, researchers, professional software, and systems engineers from around the world addressed intelligent information, data science, and decision support system for the conference. The ideas and practical solutions described in the book are the outcome of dedicated research by academics and practitioners aiming to advance theory and practice in this research domain. The list of topics is in all the areas of modern intelligent information systems and technologies such as neural networks, evolutionary computing, adaptive systems, pervasive system, ubiquitous system, E-learning and teaching, knowledge-based paradigms, learning paradigms, intelligent data analysis, intelligent decision making and support system, intelligent network security, web intelligence, deep learning, natural language processing, image processing, general machine learning, and unsupervised learning.

Emerging Threats And Countermeasures In Cybersecurity

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Author : Gulshan Shrivastava
language : en
Publisher: John Wiley & Sons
Release Date : 2024-11-15

Emerging Threats And Countermeasures In Cybersecurity written by Gulshan Shrivastava 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 2024-11-15 with Computers categories.

This book is an essential resource for anyone seeking to stay ahead in the dynamic field of cybersecurity, providing a comprehensive toolkit for understanding and combating digital threats and offering practical, insightful guidance ideal for cybersecurity professionals, digital forensic investigators, legal practitioners, law enforcement, scholars, and students. In the rapidly evolving domain of digital security, this book emerges as a vital guide for understanding and addressing the sophisticated landscape of cyber threats. This in-depth volume, featuring contributions from renowned experts, provides a thorough examination of the current state and future challenges in digital security and forensic analysis. The book is meticulously organized into seven sections (excluding conclusion), each focusing on a critical aspect of cybersecurity. It begins with a comprehensive overview of the latest trends and threats in the field, setting the stage for deeper explorations in subsequent sections. Readers will gain insights into a range of topics, from the intricacies of advanced persistent threats and malware, to the security nuances of cyber-physical systems and the Internet of Things (IoT). The book covers cutting-edge topics like blockchain, cryptography, social engineering, cloud security, and data privacy, blending theory with practical case studies. It’s a practical guide for cybersecurity professionals, forensic investigators, legal practitioners, law enforcement, scholars, and students. Offering a comprehensive toolkit for combating digital threats, it’s essential for staying ahead in the fast-evolving field of cybersecurity.

Smart Systems And Wireless Communication

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Author : Rituparna Chaki
language : en
Publisher: Springer Nature
Release Date : 2025-05-19

Smart Systems And Wireless Communication written by Rituparna Chaki and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-19 with Technology & Engineering categories.

The volume is a collection of high-quality research papers presented at International Conference on Smart Systems and Wireless Communication, SSWC 2024, organized Department of Information Technology, JIS College of Engineering, Kalyani, West Bengal, India, during 29-30 November 2024. This book focuses smart cities, smart farming, smart healthcare, wireless networks communication, internet of things, cyber physical systems, human computer interaction, big data and data analytics, high performance computing, requirements engineering, analysis and verification techniques, security systems, distributed systems, biometrics, bioinformatics, robotic process automation, and machine learning.