Multi Level Analysis Of Malware Using Machine Learning

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Multi Level Analysis Of Malware Using Machine Learning

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Author : Subash Poudyal
language : en
Publisher:
Release Date : 2021

Multi Level Analysis Of Malware Using Machine Learning written by Subash Poudyal and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.

Malware analysis and detection is a critical capability every business and organization needs to defend itself against a growing number of cyber threats. For example, ransomware, an advanced form of malware, makes hostage of user's data and asks ransom, usually in crypto-currencies, to remain anonymous. Significant efforts have been undertaken to combat these attacks, but the threat factors are dynamic, and there lacks intelligent approach to defeat them. Thus, my study is focused on designing a defensive solution against this advanced malware, i.e., ransomware. Many tools and techniques exist that claim to detect and respond to malware. However, such methods rely primarily on static features, rigid signatures, and non-machine learning approaches. Recent tools advertise to have used machine learning techniques but often lack the explainable component, often miss the zero-day malware, and have high false positives. A smart artificial intelligence (AI) technique with deep analysis, worthy feature analysis, and selection could have provided a heightened sense of proper security. This study uses an AI-powered hybrid approach to detect ransomware. Specifically, I proposed a deep inspection approach for multi-level profiling of crypto-ransomware, which captures the distinct features at DLL (Dynamic Link Library), function call, and assembly levels. I showed how the code segments are correlated at these levels for studied samples. My hybrid multi-level analysis approach includes advanced static and dynamic methods and a novel strategy of analyzing behavioral chains with AI techniques. Moreover, association rule mining, natural language processing techniques, and machine learning classifiers are integrated for building ransomware validation and detection model. Experiments with samples from VirusTotal exhibited that multi-level profiling can better detect ransomware samples among other malware families and benign applications with higher accuracy and low false-positive rate. The multi-level feature sequence can be extracted from most of the applications running in the different operating systems; therefore, I believe that my method can detect ransomware and other malware families for devices on multiple platforms..

Modern Artificial Intelligence And Data Science

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Author : Abdellah Idrissi
language : en
Publisher: Springer Nature
Release Date : 2023-08-25

Modern Artificial Intelligence And Data Science written by Abdellah Idrissi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-25 with Computers categories.

This Book, through its various chapters presenting the Recent Advances in Modern Artificial Intelligence and Data Science as well as their Applications, aims to set up lasting and real applications necessary for both academics and professionals. Readers find here the fruit of many research ideas covering a wide range of application areas that can be explored for the advancement of their research or the development of their business. These ideas present new techniques and trends projected in various areas of daily life. Through its proposals of new ideas, this Book serves as a real guide both for experienced readers and for beginners in these specialized fields. It also covers several applications that explain how they can support some societal challenges such as education, health, agriculture, clean energy, business, environment, security and many more. This Book is therefore intended for Designers, Developers, Decision-Makers, Consultants, Engineers, and of course Master's/Doctoral Students, Researchers and Academics.

Proceedings Of International Conference On Next Generation Communication And Computing

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Author : Devendra Kumar Sharma
language : en
Publisher: Springer Nature
Release Date : 2025-07-15

Proceedings Of International Conference On Next Generation Communication And Computing written by Devendra Kumar Sharma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-15 with Technology & Engineering categories.

This book presents high-quality papers from the International Conference on Next-Generation Communication and Computing (NGCCOM 2024). It discusses the latest technological trends and advances in major research areas such as 5G and Beyond, Internet of Things (IoT), wireless communications, optical communication, signal processing, image processing, big data, cloud computing, intelligent computing, artificial intelligence and sensor network applications. This book includes the contributions of national and international scientists, researchers and engineers from both academia and the industry. The contents of this book will be useful to researchers, professionals and students alike.

Risks And Challenges Of Ai Driven Finance Bias Ethics And Security

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Author : Kunjumuhammed, Siraj Kariyilaparambu
language : en
Publisher: IGI Global
Release Date : 2024-08-01

Risks And Challenges Of Ai Driven Finance Bias Ethics And Security written by Kunjumuhammed, Siraj Kariyilaparambu and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-01 with Business & Economics categories.

Integrating Artificial Intelligence (AI) presents immense opportunities and daunting challenges in the rapidly evolving finance landscape as AI-driven algorithms and models revolutionize decision-making and enhance efficiency, concerns about bias, ethics, and security loom. Financial institutions must navigate these complexities responsibly while leveraging AI's potential to innovate and thrive. Risks and Challenges of AI-Driven Finance: Bias, Ethics, and Security guides this dynamic environment. Written for professionals, researchers, policymakers, and students, this book comprehensively explores AI's impact on finance. It delves into the intricacies of bias in algorithms, ethical frameworks, cybersecurity, and regulatory compliance, offering actionable insights to address these critical issues.

Advances In Distributed Computing And Machine Learning

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Author : Rashmi Ranjan Rout
language : en
Publisher: Springer Nature
Release Date : 2022-07-27

Advances In Distributed Computing And Machine Learning written by Rashmi Ranjan Rout and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-27 with Technology & Engineering categories.

This book includes a collection of peer-reviewed best selected research papers presented at the Third International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2022), organized by Department of Computer Science and Engineering, National Institute of Technology, Warangal, Telangana, India, during 15–16 January 2022. This book presents recent innovations in the field of scalable distributed systems in addition to cutting edge research in the field of Internet of Things (IoT) and blockchain in distributed environments.

Third Congress On Intelligent Systems

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Author : Sandeep Kumar
language : en
Publisher: Springer Nature
Release Date : 2023-05-18

Third Congress On Intelligent Systems written by Sandeep Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-18 with Technology & Engineering categories.

This book is a collection of selected papers presented at the Third Congress on Intelligent Systems (CIS 2022), organized by CHRIST (Deemed to be University), Bangalore, India, under the technical sponsorship of the Soft Computing Research Society, India, during September 5–6, 2022. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers topics such as the Internet of Things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber-physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision-making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human-computer interaction, robotic devices and systems, autonomous vehicles, intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro-fuzzy systems.

Research Anthology On Artificial Intelligence Applications In Security

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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2020-11-27

Research Anthology On Artificial Intelligence Applications In Security written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-27 with Computers categories.

As industries are rapidly being digitalized and information is being more heavily stored and transmitted online, the security of information has become a top priority in securing the use of online networks as a safe and effective platform. With the vast and diverse potential of artificial intelligence (AI) applications, it has become easier than ever to identify cyber vulnerabilities, potential threats, and the identification of solutions to these unique problems. The latest tools and technologies for AI applications have untapped potential that conventional systems and human security systems cannot meet, leading AI to be a frontrunner in the fight against malware, cyber-attacks, and various security issues. However, even with the tremendous progress AI has made within the sphere of security, it’s important to understand the impacts, implications, and critical issues and challenges of AI applications along with the many benefits and emerging trends in this essential field of security-based research. Research Anthology on Artificial Intelligence Applications in Security seeks to address the fundamental advancements and technologies being used in AI applications for the security of digital data and information. The included chapters cover a wide range of topics related to AI in security stemming from the development and design of these applications, the latest tools and technologies, as well as the utilization of AI and what challenges and impacts have been discovered along the way. This resource work is a critical exploration of the latest research on security and an overview of how AI has impacted the field and will continue to advance as an essential tool for security, safety, and privacy online. This book is ideally intended for cyber security analysts, computer engineers, IT specialists, practitioners, stakeholders, researchers, academicians, and students interested in AI applications in the realm of security research.

Artificial Intelligence And Blockchain For Future Cybersecurity Applications

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Author : Yassine Maleh
language : en
Publisher: Springer Nature
Release Date : 2021-04-30

Artificial Intelligence And Blockchain For Future Cybersecurity Applications written by Yassine Maleh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-30 with Computers categories.

This book presents state-of-the-art research on artificial intelligence and blockchain for future cybersecurity applications. The accepted book chapters covered many themes, including artificial intelligence and blockchain challenges, models and applications, cyber threats and intrusions analysis and detection, and many other applications for smart cyber ecosystems. It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this particular area or those interested in grasping its diverse facets and exploring the latest advances on artificial intelligence and blockchain for future cybersecurity applications.

Static And Dynamic Machine Learning Based Malware Detection Methods For Windows Programs

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Author : Lars Kaiser
language : en
Publisher: GRIN Verlag
Release Date : 2023-02-08

Static And Dynamic Machine Learning Based Malware Detection Methods For Windows Programs written by Lars Kaiser and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-08 with Computers categories.

Bachelor Thesis from the year 2022 in the subject Computer Science - Commercial Information Technology, grade: 1.0, University of Applied Sciences Essen, language: English, abstract: One goal of the thesis is to evaluate static, dynamic and hybrid approaches in order to draw conclusions about the domains mentioned in the title of the thesis. Consequently, result-oriented conclusions about the characteristics that distinguish the three approaches from each other are to be drawn from the respective publications on basis of qualitative and quantitative evaluation criteria and the knowledge gap in the comparative literature is intended to be filled by the evaluation of hybrid approaches. The aim is to build a high-level understanding of the different methods and to identify differences and commonalities between these approaches based on research literature that presents new approaches within these domains. In particular, strengths, weaknesses and special properties of the three domains are to be determined. The second goal of this thesis is to develop a more comprehensive practical understanding of ML-based malware detection techniques, as exemplified by the practical section. Here, the ML workflow model is used to propose and implement a static malware detector step-by-step using the Python programming language and various ML algorithms. Accordingly the three primary research-questions this thesis aims to address are as follows: 1. Which static, dynamic and hybrid ML based approaches exist both in current and past research and how do they work? 2. How do the underlying methodological domains (static, dynamic and hybrid) com-pare under consideration of multiple quantitative and qualitative evaluation criteria? 3. How can a static malware detection model be implemented hands on in practice using the ML workflow process model as a guideline?

Comptia Cloud Certification All In One Exam Guide Exam Cv0 003

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Author : Eric A. Vanderburg
language : en
Publisher: McGraw Hill Professional
Release Date : 2021-07-30

Comptia Cloud Certification All In One Exam Guide Exam Cv0 003 written by Eric A. Vanderburg 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 2021-07-30 with Computers categories.

Complete coverage of every objective for the CompTIA Cloud+ exam Take the CompTIA Cloud+ exam with confidence using this highly effective self-study guide. CompTIA Cloud+TM Certification All-in-One Exam Guide (Exam CV0-003) offers complete coverage of every topic on the latest version of the exam. You’ll find learning objectives at the beginning of each chapter, exam tips, in-depth explanations, and practice exam questions. You will get in-depth explanations of the latest cloud computing concepts, models, and terminology; disk storage systems; networking storage and infrastructure; virtualization components; security best practices, and more. Designed to help you pass the CV0-003 exam with ease, this definitive guide also serves as an essential on-the-job reference. Coverage includes: DevOps Performance tuning Systems management Architecture and design Services and solutions Business continuity and disaster recovery Testing, automation, and changes Environment maintenance, security, and optimization Troubleshooting Online content includes: 200 practice exam questions Interactive performance-based questions Test engine that provides full-length practice exams and customizable quizzes by chapter or exam objective