Download or read book Classification of Malware Using Reverse Engineering and Data Mining Techniques written by Ravindar Reddy Ravula and published by . This book was released on 2011 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Detecting new and unknown malware is a major challenge in today's software security profession. A lot of approaches for the detection of malware using data mining techniques have already been proposed. Majority of the works used static features of malware. However, static detection methods fall short of detecting present day complex malware. Although some researchers proposed dynamic detection methods, the methods did not use all the malware features. In this work, an approach for the detection of new and unknown malware was proposed and implemented. 582 malware and 521 benign software samples were collected from the Internet. Each sample was reverse engineered for analyzing its effect on the operating environment and to extract the static and behavioral features. The raw data extracted from the reverse engineering was preprocessed and two datasets are obtained: dataset with reversed features and dataset with API Call features. Feature reduction was performed manually on the dataset with reversed features and the features that do not contribute to the classification were removed. Machine learning classification algorithm, J48 was applied to dataset with reversed features to obtain classification rules and a decision tree with the rules was obtained. To reduce the tree size and to obtain optimum number of decision rules, attribute values in the dataset with reversed features were discretized and another dataset was prepared with discretized attribute values. The new dataset was applied to J48 algorithm and a decision tree was generated with another set of classification rules. To further reduce the tree and number of decision rules, the dataset with discretized features was subjected to a machine learning tool, BLEM2 which is based on the rough sets and produces decision rules. To test the accuracy of the rules, the dataset with decision rules from BLEM2 was given as input to J48 algorithm. The same procedure was followed for the dataset with API Call features. Another set of experiments was conducted on the three datasets using Naïve Bayes classifier to generate training model for classification. All the training models were tested with an independent training set. J48 decision tree algorithm produced better results with DDF and DAF datasets with accuracies of 81.448% and 89.140% respectively. Naïve Bayes classifier produced better results with DDF dataset with an accuracy of 85.067%.

Download or read book Malware Detection written by Mihai Christodorescu and published by Springer Science & Business Media. This book was released on 2007-03-06 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Data Mining Tools for Malware Detection written by Mehedy Masud and published by CRC Press. This book was released on 2016-04-19 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although the use of data mining for security and malware detection is quickly on the rise, most books on the subject provide high-level theoretical discussions to the near exclusion of the practical aspects. Breaking the mold, Data Mining Tools for Malware Detection provides a step-by-step breakdown of how to develop data mining tools for malware d

Download or read book Malware Analysis and Detection Engineering written by Abhijit Mohanta and published by Apress. This book was released on 2020-11-05 with total page 780 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover how the internals of malware work and how you can analyze and detect it. You will learn not only how to analyze and reverse malware, but also how to classify and categorize it, giving you insight into the intent of the malware. Malware Analysis and Detection Engineering is a one-stop guide to malware analysis that simplifies the topic by teaching you undocumented tricks used by analysts in the industry. You will be able to extend your expertise to analyze and reverse the challenges that malicious software throws at you. The book starts with an introduction to malware analysis and reverse engineering to provide insight on the different types of malware and also the terminology used in the anti-malware industry. You will know how to set up an isolated lab environment to safely execute and analyze malware. You will learn about malware packing, code injection, and process hollowing plus how to analyze, reverse, classify, and categorize malware using static and dynamic tools. You will be able to automate your malware analysis process by exploring detection tools to modify and trace malware programs, including sandboxes, IDS/IPS, anti-virus, and Windows binary instrumentation. The book provides comprehensive content in combination with hands-on exercises to help you dig into the details of malware dissection, giving you the confidence to tackle malware that enters your environment. What You Will Learn Analyze, dissect, reverse engineer, and classify malware Effectively handle malware with custom packers and compilers Unpack complex malware to locate vital malware components and decipher their intent Use various static and dynamic malware analysis tools Leverage the internals of various detection engineering tools to improve your workflow Write Snort rules and learn to use them with Suricata IDS Who This Book Is For Security professionals, malware analysts, SOC analysts, incident responders, detection engineers, reverse engineers, and network security engineers "This book is a beast! If you're looking to master the ever-widening field of malware analysis, look no further. This is the definitive guide for you." Pedram Amini, CTO Inquest; Founder OpenRCE.org and ZeroDayInitiative

Download or read book Malware Detection written by Priyanka Nandal and published by diplom.de. This book was released on 2017-11-21 with total page 69 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the present work the behavior of malicious software is studied, the security challenges are understood, and an attempt is made to detect the malware behavior automatically using dynamic approach. Various classification techniques are studied. Malwares are then grouped according to these techniques and malware with unknown characteristics are clustered into an unknown group. The classifiers used in this research are k-Nearest Neighbors (kNN), J48 Decision Tree, and n-grams.

Download or read book Malware Science written by Shane Molinari and published by Packt Publishing Ltd. This book was released on 2023-12-15 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Malware Science 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.

Download or read book Botnet Detection written by Wenke Lee and published by Springer Science & Business Media. This book was released on 2007-10-23 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: Botnets have become the platform of choice for launching attacks and committing fraud on the Internet. A better understanding of Botnets will help to coordinate and develop new technologies to counter this serious security threat. Botnet Detection: Countering the Largest Security Threat consists of chapters contributed by world-class leaders in this field, from the June 2006 ARO workshop on Botnets. This edited volume represents the state-of-the-art in research on Botnets.

Download or read book Malware Analysis Using Artificial Intelligence and Deep Learning written by Mark Stamp and published by Springer Nature. This book was released on 2020-12-20 with total page 651 pages. Available in PDF, EPUB and Kindle. Book excerpt: ​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.

Download or read book Knowledge Discovery Knowledge Engineering and Knowledge Management written by Ana Fred and published by Springer. This book was released on 2013-04-10 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the Third International Joint Conference on Knowledge Discovery, Knowledge Engineering, and Knowledge Management, IC3K 2011, held in Paris, France, in October 2011. This book includes revised and extended versions of a strict selection of the best papers presented at the conference; 39 revised full papers together with one invited lecture were carefully reviewed and selected from 429 submissions. According to the three covered conferences KDIR 2011, KEOD 2011, and KMIS 2011, the papers are organized in topical sections on knowledge discovery and information retrieval, knowledge engineering and ontology development, and on knowledge management and information sharing.

Download or read book Malware Reverse Engineering written by Rob Botwright and published by Rob Botwright. This book was released on 101-01-01 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock the Secrets of Malware with "Malware Reverse Engineering: Cracking the Code" - Your Comprehensive Guide to Cybersecurity Are you ready to embark on a transformative journey into the world of cybersecurity and malware reverse engineering? Look no further than our book bundle, "Malware Reverse Engineering: Cracking the Code." This carefully curated collection spans four volumes, each designed to cater to your expertise level, from beginners to seasoned experts. 📘 Book 1 - Malware Reverse Engineering Essentials: A Beginner's Guide Are you new to the world of malware? This volume is your stepping stone into the exciting realm of reverse engineering. Discover the fundamental concepts and essential tools needed to dissect and understand malware. Lay a solid foundation for your cybersecurity journey. 📙 Book 2 - Mastering Malware Reverse Engineering: From Novice to Expert Ready to dive deeper into malware analysis? This book bridges the gap between foundational knowledge and advanced skills. Explore progressively complex challenges, and acquire the skills necessary to analyze a wide range of malware specimens. Transform from a novice into a proficient analyst. 📗 Book 3 - Malware Analysis and Reverse Engineering: A Comprehensive Journey Take your expertise to the next level with this comprehensive guide. Delve into both static and dynamic analysis techniques, gaining a holistic approach to dissecting malware. This volume is your ticket to becoming a proficient malware analyst with a rich tapestry of knowledge. 📕 Book 4 - Advanced Techniques in Malware Reverse Engineering: Expert-Level Insights Ready for the pinnacle of expertise? Unveil the most intricate aspects of malware analysis, including code obfuscation, anti-analysis measures, and complex communication protocols. Benefit from expert-level guidance and real-world case studies, ensuring you're prepared for the most challenging tasks in the field. Why Choose "Malware Reverse Engineering: Cracking the Code"? 🌐 Comprehensive Learning: From novice to expert, our bundle covers every step of your malware reverse engineering journey. 🔍 Real-World Insights: Benefit from real-world case studies and expert-level guidance to tackle the most complex challenges. 💡 Holistic Approach: Explore both static and dynamic analysis techniques, ensuring you have a well-rounded skill set. 🛡️ Stay Ahead of Threats: Equip yourself with the knowledge to combat evolving cyber threats and safeguard digital environments. 📚 Four Essential Volumes: Our bundle offers a complete and structured approach to mastering malware reverse engineering. Don't wait to enhance your cybersecurity skills and become a proficient malware analyst. "Malware Reverse Engineering: Cracking the Code" is your comprehensive guide to combating the ever-evolving threat landscape. Secure your copy today and join the ranks of cybersecurity experts defending our digital world.

Download or read book Malware Analysis Techniques written by Dylan Barker and published by Packt Publishing Ltd. This book was released on 2021-06-18 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analyze malicious samples, write reports, and use industry-standard methodologies to confidently triage and analyze adversarial software and malware Key FeaturesInvestigate, detect, and respond to various types of malware threatUnderstand how to use what you've learned as an analyst to produce actionable IOCs and reportingExplore complete solutions, detailed walkthroughs, and case studies of real-world malware samplesBook Description Malicious software poses a threat to every enterprise globally. Its growth is costing businesses millions of dollars due to currency theft as a result of ransomware and lost productivity. With this book, you'll learn how to quickly triage, identify, attribute, and remediate threats using proven analysis techniques. Malware Analysis Techniques begins with an overview of the nature of malware, the current threat landscape, and its impact on businesses. Once you've covered the basics of malware, you'll move on to discover more about the technical nature of malicious software, including static characteristics and dynamic attack methods within the MITRE ATT&CK framework. You'll also find out how to perform practical malware analysis by applying all that you've learned to attribute the malware to a specific threat and weaponize the adversary's indicators of compromise (IOCs) and methodology against them to prevent them from attacking. Finally, you'll get to grips with common tooling utilized by professional malware analysts and understand the basics of reverse engineering with the NSA's Ghidra platform. By the end of this malware analysis book, you'll be able to perform in-depth static and dynamic analysis and automate key tasks for improved defense against attacks. What you will learnDiscover how to maintain a safe analysis environment for malware samplesGet to grips with static and dynamic analysis techniques for collecting IOCsReverse-engineer and debug malware to understand its purposeDevelop a well-polished workflow for malware analysisUnderstand when and where to implement automation to react quickly to threatsPerform malware analysis tasks such as code analysis and API inspectionWho this book is for This book is for incident response professionals, malware analysts, and researchers who want to sharpen their skillset or are looking for a reference for common static and dynamic analysis techniques. Beginners will also find this book useful to get started with learning about malware analysis. Basic knowledge of command-line interfaces, familiarity with Windows and Unix-like filesystems and registries, and experience in scripting languages such as PowerShell, Python, or Ruby will assist with understanding the concepts covered.

Download or read book Information Technology New Generations written by Shahram Latifi and published by Springer. This book was released on 2016-03-28 with total page 1253 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects articles presented at the 13th International Conference on Information Technology- New Generations, April, 2016, in Las Vegas, NV USA. It includes over 100 chapters on critical areas of IT including Web Technology, Communications, Security, and Data Mining.

Download or read book Classification of Malware written by Ravindar Reddy Ravula and published by LAP Lambert Academic Publishing. This book was released on 2011-09 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: Malware (Malicious Software) has become one of the major threats to today's computing world. Although Antivirus programs provide primary line of defense and detect previously known malware, they, along with other detection mechanisms falling short of detecting present day new and unknown complex malware. In this work, a new approach to detect malware, which uses reverse engineering and machine learning techniques was proposed and implemented. While Reverse Engineering was used to analyze malware, genuine software and extract important features and construct datasets from those features, machine learning techniques were used to build classification models, which would classify a new executable as either malware or genuine software.

Download or read book Communication and Computing Systems written by B.M.K. Prasad and published by CRC Press. This book was released on 2017-02-15 with total page 1551 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of accepted papers that were presented at the International Conference on Communication and Computing Systems (ICCCS-2016), Dronacharya College of Engineering, Gurgaon, September 9–11, 2016. The purpose of the conference was to provide a platform for interaction between scientists from industry, academia and other areas of society to discuss the current advancements in the field of communication and computing systems. The papers submitted to the proceedings were peer-reviewed by 2-3 expert referees. This volume contains 5 main subject areas: 1. Signal and Image Processing, 2. Communication & Computer Networks, 3. Soft Computing, Intelligent System, Machine Vision and Artificial Neural Network, 4. VLSI & Embedded System, 5. Software Engineering and Emerging Technologies.

Download or read book Malware Data Science written by Joshua Saxe and published by No Starch Press. This book was released on 2018-09-25 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Malware Data Science explains how to identify, analyze, and classify large-scale malware using machine learning and data visualization. Security has become a "big data" problem. The growth rate of malware has accelerated to tens of millions of new files per year while our networks generate an ever-larger flood of security-relevant data each day. In order to defend against these advanced attacks, you'll need to know how to think like a data scientist. In Malware Data Science, security data scientist Joshua Saxe introduces machine learning, statistics, social network analysis, and data visualization, and shows you how to apply these methods to malware detection and analysis. You'll learn how to: - Analyze malware using static analysis - Observe malware behavior using dynamic analysis - Identify adversary groups through shared code analysis - Catch 0-day vulnerabilities by building your own machine learning detector - Measure malware detector accuracy - Identify malware campaigns, trends, and relationships through data visualization Whether you're a malware analyst looking to add skills to your existing arsenal, or a data scientist interested in attack detection and threat intelligence, Malware Data Science will help you stay ahead of the curve.

Download or read book Practical Reverse Engineering written by Bruce Dang and published by John Wiley & Sons. This book was released on 2014-02-03 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analyzing how hacks are done, so as to stop them in the future Reverse engineering is the process of analyzing hardware or software and understanding it, without having access to the source code or design documents. Hackers are able to reverse engineer systems and exploit what they find with scary results. Now the good guys can use the same tools to thwart these threats. Practical Reverse Engineering goes under the hood of reverse engineering for security analysts, security engineers, and system programmers, so they can learn how to use these same processes to stop hackers in their tracks. The book covers x86, x64, and ARM (the first book to cover all three); Windows kernel-mode code rootkits and drivers; virtual machine protection techniques; and much more. Best of all, it offers a systematic approach to the material, with plenty of hands-on exercises and real-world examples. Offers a systematic approach to understanding reverse engineering, with hands-on exercises and real-world examples Covers x86, x64, and advanced RISC machine (ARM) architectures as well as deobfuscation and virtual machine protection techniques Provides special coverage of Windows kernel-mode code (rootkits/drivers), a topic not often covered elsewhere, and explains how to analyze drivers step by step Demystifies topics that have a steep learning curve Includes a bonus chapter on reverse engineering tools Practical Reverse Engineering: Using x86, x64, ARM, Windows Kernel, and Reversing Tools provides crucial, up-to-date guidance for a broad range of IT professionals.

Download or read book Reverse Engineering of a Malware Eyeing the Future of Security written by Supreeth Jagadish Burji and published by . This book was released on 2009 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Reverse engineering malware has been an integral part of the world of security. At best it has been employed for signature logging malware until now. Since the evolution of new age technologies, this is now being researched as a robust methodology which can lead to more reactive and proactive solutions to the modern security threats that are growing stronger and more sophisticated. This research in its entirety has been an attempt to understand the in and outs of reverse engineering pertaining to malware analysis, with an eye to the future trends in security. Reverse engineering of malware was done with Nugache P2P malware as the target showing that signature based malware identification is ineffective. Developing a proactive approach to quickly identifying malware was the objective that guided this research work. Innovative malware analysis techniques with data mining and rough sets methodologies have been employed in this research work in the quest of a proactive and feasible security solution."--Abstract.