Data Mining And Machine Learning For Reverse Engineering
DOWNLOAD
Download Data Mining And Machine Learning For Reverse Engineering PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Data Mining And Machine Learning For Reverse Engineering book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Data Mining And Reverse Engineering
DOWNLOAD
Author : Stefano Spaccapietra
language : en
Publisher: Springer
Release Date : 2013-03-14
Data Mining And Reverse Engineering written by Stefano Spaccapietra and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-14 with Computers categories.
Searching for Semantics: Data Mining, Reverse Engineering Stefano Spaccapietra Fred M aryanski Swiss Federal Institute of Technology University of Connecticut Lausanne, Switzerland Storrs, CT, USA REVIEW AND FUTURE DIRECTIONS In the last few years, database semantics research has turned sharply from a highly theoretical domain to one with more focus on practical aspects. The DS- 7 Working Conference held in October 1997 in Leysin, Switzerland, demon strated the more pragmatic orientation of the current generation of leading researchers. The papers presented at the meeting emphasized the two major areas: the discovery of semantics and semantic data modeling. The work in the latter category indicates that although object-oriented database management systems have emerged as commercially viable prod ucts, many fundamental modeling issues require further investigation. Today's object-oriented systems provide the capability to describe complex objects and include techniques for mapping from a relational database to objects. However, we must further explore the expression of information regarding the dimensions of time and space. Semantic models possess the richness to describe systems containing spatial and temporal data. The challenge of in corporating these features in a manner that promotes efficient manipulation by the subject specialist still requires extensive development.
Data Mining And Machine Learning For Reverse Engineering
DOWNLOAD
Author : Honghui Ding
language : en
Publisher:
Release Date : 2019
Data Mining And Machine Learning For Reverse Engineering written by Honghui Ding and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
"Reverse engineering is fundamental for understanding the inner workings of new malware, exploring new vulnerabilities in existing systems, and identifying patent infringements in the distributed executables. It is the process of getting an in-depth understanding of a given binary executable without its corresponding source code. Reverse engineering is a manually intensive and time-consuming process that relies on a thorough understanding of the full development stack from hardware to applications. It requires a much steeper learning curve than programming. Given the unprecedentedly vast amount of data to be analyzed and the significance of reverse engineering, the overall question that drives the studies in this thesis is how can data mining and machine learning technologies make cybersecurity practitioners more productive to uncover the provenance, understand the intention, and discover the issues behind the data in a scalable way. In this thesis, I focus on two data-driven solutions to help reverse engineers analyzing binary data: assembly clone search and behavioral summarization. Assembly code clone search is emerging as an Information Retrieval (IR) technique that helps address security problems. It has been used for differing binaries to locate the changed parts, identifying known library functions such as encryption, searching for known programming bugs or zero-day vulnerabilities in existing software or Internet of Things (IoT) devices firmware, as well as detecting software plagiarism or GNU license infringements when the source code is unavailable. However, designing an effective search engine is difficult, due to varieties of compiler optimization and obfuscation techniques that make logically similar assembly functions appear to be dramatically different. By working closely with reverse engineers, I identify three different scenarios of reverse engineering and develop novel data mining and machine learning models for assembly clone search to address the respective challenges. By developing an intelligent assembly clone search platform, I optimize the process of reverse engineering by addressing the information needs of reverse engineers. Experimental results suggest that Kam1n0 is accurate, efficient, and scalable for handling a large volume of data.The second part of the thesis goes beyond optimizing an information retrieval process for reverse engineering. I propose to automatically and statically characterize the behaviors of a given binary executable. Behavioral indicators denote those potentially high-risk malicious behaviors exhibited by malware, such as unintended network communications, file encryption, keystroke logging, abnormal registry modifications, sandbox evasion, and camera manipulation. I design a novel neural network architecture that models the different aspects of an executable. It is able to predict over 139 suspicious and malicious behavioral indicators, without running the executable. The resulting system can be used as an additional binary analytic layer to mitigate the issues of polymorphism, metamorphism, and evasive techniques. It also provides another behavioral abstraction of malware to security analysts and reverse engineers. Therefore, it can reduce the data to be manually analyzed, and the reverse engineers can focus on the binaries that are of their interest. In summary, this thesis presents four original research projects that not only advance the knowledge in reverse engineering and data mining, but also contribute to the overall safety of our cyber world by providing open-source award-winning binary analysis systems that empower cybersecurity practitioners"--
Privacy And Security Issues In Data Mining And Machine Learning
DOWNLOAD
Author : Christos Dimitrakakis
language : en
Publisher: Springer
Release Date : 2011-04-16
Privacy And Security Issues In Data Mining And Machine Learning written by Christos Dimitrakakis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-16 with Computers categories.
This book constitutes the refereed proceedings of the International ECML/PKDD Workshop on Privacy and Security Issues in Data Mining and Machine Learning, PSDML 2010, held in Barcelona, Spain, in September 2010. The 11 revised full papers presented were carefully reviewed and selected from 21 submissions. The papers range from data privacy to security applications, focusing on detecting malicious behavior in computer systems.
Data Mining
DOWNLOAD
Author : Mehmed Kantardzic
language : en
Publisher: John Wiley & Sons
Release Date : 2019-10-23
Data Mining written by Mehmed Kantardzic 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 2019-10-23 with Computers categories.
Presents the latest techniques for analyzing and extracting information from large amounts of data in high-dimensional data spaces The revised and updated third edition of Data Mining contains in one volume an introduction to a systematic approach to the analysis of large data sets that integrates results from disciplines such as statistics, artificial intelligence, data bases, pattern recognition, and computer visualization. Advances in deep learning technology have opened an entire new spectrum of applications. The author—a noted expert on the topic—explains the basic concepts, models, and methodologies that have been developed in recent years. This new edition introduces and expands on many topics, as well as providing revised sections on software tools and data mining applications. Additional changes include an updated list of references for further study, and an extended list of problems and questions that relate to each chapter.This third edition presents new and expanded information that: • Explores big data and cloud computing • Examines deep learning • Includes information on convolutional neural networks (CNN) • Offers reinforcement learning • Contains semi-supervised learning and S3VM • Reviews model evaluation for unbalanced data Written for graduate students in computer science, computer engineers, and computer information systems professionals, the updated third edition of Data Mining continues to provide an essential guide to the basic principles of the technology and the most recent developments in the field.
Evolutionary Computation Machine Learning And Data Mining In Bioinformatics
DOWNLOAD
Author : Elena Marchiori
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-03-14
Evolutionary Computation Machine Learning And Data Mining In Bioinformatics written by Elena Marchiori 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 2008-03-14 with Computers categories.
This book constitutes the refereed proceedings of the 6th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2008, held in Naples, Italy, in March 2008 colocated with the Evo* 2008 events. The 18 revised full papers were carefully reviewed and selected from 63 submissions. EvoBio is the premiere European event for experts in computer science meeting with experts in bioinformatics and the biological sciences, all interested in the interface between evolutionary computation, machine learning, data mining, bioinformatics, and computational biology. Topics addressed by the papers include biomarker discovery, cell simulation and modeling, ecological modeling, uxomics, gene networks, biotechnology, metabolomics, microarray analysis, phylogenetics, protein interactions, proteomics, sequence analysis and alignment, as well as systems biology.
Cyber Justice
DOWNLOAD
Author : Rajiv Ranjan
language : en
Publisher: OrangeBooks Publication
Release Date : 2025-01-10
Cyber Justice written by Rajiv Ranjan and has been published by OrangeBooks Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-10 with Social Science categories.
This work advocates for comprehensive, victim-centric policies that prioritize the protection of individual rights and the accountability of offenders. This book is structured to cater to a diverse audience, including students, researchers, law enforcement professionals, policymakers, and anyone interested in the intricacies of cybercrime and its implications. Through a combination of theoretical insights, case studies, and practical recommendations, it seeks to provide a holistic understanding of the subject.
Intelligent Information And Database Systems
DOWNLOAD
Author : Paweł Sitek
language : en
Publisher: Springer Nature
Release Date : 2020-03-03
Intelligent Information And Database Systems written by Paweł Sitek and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-03 with Computers categories.
This volume constitutes the refereed proceedings of the 12th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2020, held in Phuket, Thailand, in March 2020. The total of 50 full papers accepted for publication in these proceedings were carefully reviewed and selected from 180 submissions. The papers are organized in the following topical sections: advanced big data, machine learning and data mining; industry applications of intelligent methods and systems; artificia intelligence, optimization, and databases in practical applications; intelligent applications of internet of things; recommendation and user centric applications of intelligent systems.
Malware Reverse Engineering
DOWNLOAD
Author : Rob Botwright
language : en
Publisher: Rob Botwright
Release Date : 2024
Malware Reverse Engineering written by Rob Botwright and has been published by Rob Botwright this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with Computers categories.
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.
Knowledge Discovery Knowledge Engineering And Knowledge Management
DOWNLOAD
Author : Ana Fred
language : en
Publisher: Springer
Release Date : 2013-04-10
Knowledge Discovery Knowledge Engineering And Knowledge Management written by Ana Fred and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-10 with Computers categories.
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.
Reverse Engineering The Mind
DOWNLOAD
Author : Florian Neukart
language : en
Publisher: Springer
Release Date : 2016-10-24
Reverse Engineering The Mind written by Florian Neukart and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-24 with Computers categories.
Florian Neukart describes methods for interpreting signals in the human brain in combination with state of the art AI, allowing for the creation of artificial conscious entities (ACE). Key methods are to establish a symbiotic relationship between a biological brain, sensors, AI and quantum hard- and software, resulting in solutions for the continuous consciousness-problem as well as other state of the art problems. The research conducted by the author attracts considerable attention, as there is a deep urge for people to understand what advanced technology means in terms of the future of mankind. This work marks the beginning of a journey – the journey towards machines with conscious action and artificially accelerated human evolution.