Data Mining And Reverse Engineering

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Data Mining And Reverse Engineering
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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 Reverse Engineering
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Author : Stefano Spaccapietra
language : en
Publisher: Springer
Release Date : 1998-04-30
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 1998-04-30 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 Reverse Engineering
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Author : S. Spaccapietra
language : en
Publisher:
Release Date : 1998
Data Mining And Reverse Engineering written by S. Spaccapietra and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Data mining categories.
Multimedia Data Mining And Knowledge Discovery
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Author : Valery A. Petrushin
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-10-20
Multimedia Data Mining And Knowledge Discovery written by Valery A. Petrushin 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 2007-10-20 with Computers categories.
This tightly-edited collection of papers from leading researchers worldwide provides an overview of the current state-of-the-art in the field of multimedia data mining and knowledge discovery, and discusses the variety of hot topics in multimedia data mining research. Consisting of an introductory section and four topical parts, the book describes the objectives and current tendencies in multimedia data mining research and their applications. Each part contains an overview of its chapters and leads the reader with a structured approach through the diverse subjects in the field. Written with graduates in mind, this much needed comprehensive reflection of the current state of multimedia data mining and knowledge discovery will also be a valuable resource for researchers in the field. This book provides an overview of the current state of the art in the field of multimedia data mining and knowledge discovery, and discusses the variety of hot topics in multimedia data mining research. Topics and Features: - Features a comprehensive introduction to multimedia data mining and its relevance today; - presents a global perspective of the field and its various components; - provides broad, yet thorough and detailed coverage of the subject; - numerous chapters reference websites with supplementary materials and demonstrations; - explores multimedia data exploration, multimedia data modeling and evaluation, and visualization; - offers an entire part devoted to applications and case studies. Written with graduate students in mind, this much needed comprehensive survey of the current state of multimedia data mining and knowledge discovery will also serve as a valuable resource for researchers with interests in multimedia data mining, summarization, indexing, and retrieval.
Data Mining And Machine Learning For Reverse Engineering
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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"--
Data Mining Intrusion Detection Information Assurance And Data Networks Security
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Author :
language : en
Publisher:
Release Date : 2006
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 2006 with Data mining categories.
Staying Ahead Of The Competition
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Author : Chris Hall
language : en
Publisher: World Scientific
Release Date : 2007
Staying Ahead Of The Competition written by Chris Hall and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Business & Economics categories.
This book is essential reading for any manager who has to make competitive decisions ? decisions which affect the competitive success of a corporation or business unit. The book is unique in that it is based on detailed research spanning a decade of dramatic competitive change. Thanks to the internet, globalization, technological and demographic change, the velocity of competition is increasing and competitive decisions have to be made faster. The book, however, shows that many senior managers are unprepared and unable to meet quite common competitive challenges even half the time. Moreover, many firms have developed cultures where people do not trust each other with information critical to competitive success. Employees can spend more time competing with one another for the bonus pool than dealing with the real competitive forces.This book will equip managers with the intelligence and knowledge they need to make good competitive decisions at all levels of the organization.
Data Mining And Knowledge Discovery
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Author :
language : en
Publisher:
Release Date : 2002
Data Mining And Knowledge Discovery written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Data mining categories.
Regulating Access And Transfer Of Data
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Author : Björn Lundqvist
language : en
Publisher: Cambridge University Press
Release Date : 2023-04-13
Regulating Access And Transfer Of Data written by Björn Lundqvist and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-13 with Computers categories.
Analyzes the regulation of data access and transfer to understand how internet users can obtain the data they generate.
Next Generation Of Data Mining
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Author : Hillol Kargupta
language : en
Publisher: CRC Press
Release Date : 2008-12-24
Next Generation Of Data Mining written by Hillol Kargupta and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-24 with Computers categories.
Drawn from the US National Science Foundation's Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation (NGDM 07), Next Generation of Data Mining explores emerging technologies and applications in data mining as well as potential challenges faced by the field.Gathering perspectives from top experts across different di