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Features of Creating Accounts in Linux OS

Features of Creating Accounts in Linux OS

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Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT)

作者： Ilia Sokolov Sergey Porshnev Valentin Baklanov Ksenia Sherbakova Dmitry Kuts Training and Scientific Center “Information Security” Ural Federal University named after the first President of Russia B. N. Yeltsin Ekaterinburg Russian Federation

ISBN: (数字)9798350362893

ISBN: (纸本)9798350362909

Currently, operating systems based on the Linux kernel and open-source software are widely used, including: Debian, Centos, openSUSE, RedHat, Slackware and others, all distributions of which include the kernel and open-source software (packages). This allows you to organize user interaction with various devices. The article presents the results of an analysis of the creation of user account files for operating systems based on the Linux kernel. We are considering using the grep utility to search for data on the hard drive. In operating system forensics, all possible behavior patterns of such source code are very important. Of particular interest are user account management processes and their traces in operating systems. The forensic application of the found methods for controlling user accounts is considered, which will increase the level of information security of the system. A theory will be put forward about the origin of the phenomenon of duplication of account file records on the hard drive, which assumes that duplication occurs due to the characteristics of the file system and the operation of the useradd utility. An experiment was conducted to confirm the theory and show the stages of creating duplicate account files, which allows you to track all changes in the account manipulation system, regardless of system logs.

关键词： File systems Linux Forensics source coding Information security Kernel Information technology

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BContext2Name: Naming Functions in Stripped Binaries with Multi-Label Learning and Neural Networks

BContext2Name: Naming Functions in Stripped Binaries with Mu...

引用

ieee International conference on Cyber Security and Cloud Computing (CSCloud)

作者： Bing Xia Yunxiang Ge Ruinan Yang Jiabin Yin Jianmin Pang Chongjun Tang Key Laboratory of Mathematical Engineering and Advanced Computing dept.ZhongYuan University of Technology Zhengzhou China Henan Key Laboratory on Public Opinion Intelligent Analysis dept.ZhongYuan University of Technology Zhengzhou China dept.ZhongYuan University of Technology Zhengzhou China dept.Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

Conducting binary function naming helps reverse engineers understand the internal workings of the code and perform malicious code analysis without accessing the source code. However, the loss of debugging information poses the challenge of insufficient high-level semantic information description for stripping binary code function naming. Meanwhile, the existing binary function naming scheme has one function label for only one sample. The long-tail effect of function labels for a single sample makes the machine learning-based prediction models face the challenge. To obtain a function correlation label and improve the propensity score of uncommon tail labels, we propose a multi-label learning-based binary function naming model BContext2Name. This model automatically generates relevant labels for binary function naming by function context information with the help of PfastreXML model. The experimental results show that BContext2Name can enrich function labels and alleviate the long-tail effect that exists for a single sample class. To obtain high-level semantics of binary functions, we align pseudocode and basic blocks based on disassembly and decompilation, identify concrete or abstract values of API parameters by variable tracking, and construct API-enhanced control flow graphs. Finally, a seq2seq neural network translation model with attention mechanism is constructed between function multi-label learning and enhanced control flow graphs. Experiments on the dataset reveal that the F1 values of the BContext2Name model improve by 3.55% and 15.23% over the state-of-the-art XFL and Nero, respectively. This indicates that function multi-label learning can provide accurate labels for binary functions and can help reverse analysts understand the inner working mechanism of binary code. code and data for this evaluation are available at https://***/CSecurityZhongYuan/BContext2Name.

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An Integrated Approach to Package and Class code- to-Architecture Mapping Using InMap

An Integrated Approach to Package and Class Code- to-Archite...

引用

working ieee/IFIP conference on Software Architecture

作者： Zipani Tom Sinkala Sebastian Herold Mathematics & Computer Science Karlstad University Karlstad Sweden

Reflexion Modelling is a successful method used in industry for Software Architectural Consistency Checking (SACC). However, it includes a mapping step that is manual and tedious, especially for large complex systems. Various studies have shown how to successfully automate the interactive mapping of the basic units of the software’s codebase, i.e. its classes, to its architecture modules. However, their inherent drawback is that the effort required by an architect to review the mapping recommendations produced, whether during the mapping occurs or at the end of mapping, can be considerable. Subsequent studies have attempted to reduce this effort by use of a hierarchical mapping approach. These studies have demonstrated a reduction in the review effort required by a software architect; however, the gain in effort reduction occurred at the price of a lower recall and precision than similar non-hierarchical mapping approaches. In this study, we present an integrated approach of automated code-to-architecture mapping that draws from hierarchical (package mapping) and non-hierarchical (class mapping) techniques to keep effort minimal for an architect with marginal loss in recall and precision. Using the harmonic mean of f 1 -scores and effort reduction, our results show that with our integrated approach, we could achieve 0.90 on average, compared to 0.87 for the other two methods.

关键词： Industries Software architecture source coding Computer architecture Manuals Maintenance engineering Harmonic analysis

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Software Engineering by source Transformation - Experience with TXL (Most Influential Paper, SCAM 2001) 19

Software Engineering by Source Transformation - Experience w...

引用

19th ieee International working conference on source code analysis and manipulation (SCAM)

作者： Cordy, James R. Dean, Thomas R. Malton, Andrew Schneider, Kevin A. Queens Univ Kingston ON Canada Blackberry Waterloo ON Canada Univ Saskatchewan Saskatoon SK Canada

ISBN: (纸本)9781728149370

关键词： MIP TXL

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Simplified QMOOD Model Proposal Based on Correlation analysis in Different Client Applications 29

Simplified QMOOD Model Proposal Based on Correlation Analysi...

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29th ieee conference on Signal Processing and Communications Applications (SIU)

作者： Ozcevik, Yusuf Manisa Celal Bayar Univ Yazilim Muhendisligi Bolumu Manisa Turkey

ISBN: (纸本)9781665436496

One of the commonly used models to measure the design quality of object-oriented software is the QMOOD model. The model works on a simple set of metrics;however, it may not be easy to obtain these metrics for different client applications even with the same/similar design. The main reason for this is that metric collection tools work differently in programming languages and development environments used to develop software for different clients. Moreover, metric aggregation tools used in some development environments may not be suitable for working with another development environment technology. In such cases, a quality metric that can be collected from the source code of a client application cannot be obtained for another client application. For this reason, it will be useful to simplify the model for some clients in order to match the quality assessment made using the QMOOD model with the real world. In this context, in this study, 9 versions of the Kubernetes project JAVA client have been examined. For these versions, all quality metrics needed in the QMOOD model were collected using different metric collection tools and the change of design quality attributes was obtained. In the evaluation, it was determined that the change in design quality characteristics coincided with the real world. From this point of view, the binary cross correlation of design properties was calculated. As a consequence, a QMOOD model proposal with 27% simplification that can be used in quality measurement for different client applications of the Kubernetes project is included.

关键词： Software Quality Kubernetes JAVA Client QMOOD Cross Correlation analysis

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Towards a tool for visualizing pupil dilation linked with source code artifacts 8

Towards a tool for visualizing pupil dilation linked with so...

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8th ieee working conference on Software Visualization (VISSOFT)

作者： Ioannou, Constantina Baekgaard, Per Kindler, Ekkart Weber, Barbara Tech Univ Denmark DTU Compute Lyngby Denmark Univ St Gallen Inst Comp Sci St Gallen Switzerland

ISBN: (纸本)9781728199146

Recent eye tracking research in the field of software engineering has proposed novel visualizations linking developer's gazes with the source code artifacts to better understand how developers comprehend source code artifacts potentially consisting of several different files. In addition, it is well established that cognitive processes can be monitored by recording the change in pupil dilation. Recent pupillometry studies in the software engineering field have shown that pupil dilation can be used either as an indicator of cognitive load or task difficulty. We envision to create a tool for visualizing pupil dilation linked to source code artifacts that can help to better understand the cognitive processes of a developer during code comprehension tasks in terms of cognitive load. In this paper, we describe a feasibility study we conducted to enable a more fine-grained analysis of pupil dilation and we demonstrate some preliminary results.

关键词： pupil dilation code comprehension cognitive load

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Embedding Java Classes with code2vec: Improvements from Variable Obfuscation 17

Embedding Java Classes with code2vec: Improvements from Vari...

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ieee/ACM 17th International conference on Mining Software Repositories (MSR)

作者： Compton, Rhys Frank, Eibe Patros, Panos Koay, Abigail Univ Waikato Hamilton New Zealand

ISBN: (纸本)9781450375177

Automatic source code analysis in key areas of software engineering, such as code security, can benefit from Machine Learning (ML). However, many standard ML approaches require a numeric representation of data and cannot be applied directly to source code. Thus, to enable ML, we need to embed source code into numeric feature vectors while maintaining the semantics of the code as much as possible. code2vec is a recently released embedding approach that uses the proxy task of method name prediction to map Java methods to feature vectors. However, experimentation with code2vec shows that it learns to rely on variable names for prediction, causing it to be easily fooled by typos or adversarial attacks. Moreover, it is only able to embed individual Java methods and cannot embed an entire collection of methods such as those present in a typical Java class, making it difficult to perform predictions at the class level (e.g., for the identification of malicious Java classes). Both shortcomings are addressed in the research presented in this paper. We investigate the effect of obfuscating variable names during training of a code2vec model to force it to rely on the structure of the code rather than specific names and consider a simple approach to creating class-level embeddings by aggregating sets of method embeddings. Our results, obtained on a challenging new collection of source-code classification problems, indicate that obfuscating variable names produces an embedding model that is both impervious to variable naming and more accurately reflects code semantics. The datasets, models, and code are shared(1) for further ML research on source code.

关键词： machine learning neural networks code2vec source code code obfuscation

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A Study of Potential code Borrowing and License Violations in Java Projects on GitHub 17

A Study of Potential Code Borrowing and License Violations i...

引用

ieee/ACM 17th International conference on Mining Software Repositories (MSR)

作者： Golubev, Yaroslav Eliseeva, Maria Povarov, Nikita Bryksin, Timofey JetBrains Res Belgrade Serbia ITMO Univ St Petersburg Russia Higher Sch Econ St Petersburg Russia St Petersburg State Univ St Petersburg Russia

ISBN: (纸本)9781450375177

With an ever-increasing amount of open-source software, the popularity of services like GitHub that facilitate code reuse, and common misconceptions about the licensing of open-source software, the problem of license violations in the code is getting more and more prominent. In this study, we compile an extensive corpus of popular Java projects from GitHub, search it for code clones, and perform an original analysis of possible code borrowing and license violations on the level of code fragments. We chose Java as a language because of its popularity in industry, where the plagiarism problem is especially relevant because of possible legal action. We analyze and discuss distribution of 94 different discovered and manually evaluated licenses in files and projects, differences in the licensing of files, distribution of potential code borrowing between licenses, various types of possible license violations, most violated licenses, etc. Studying possible license violations in specific blocks of code, we have discovered that 29.6% of them might be involved in potential code borrowing and 9.4% of them could potentially violate original licenses.

关键词： Open source software

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Rascal, 10 Years Later 19

Rascal, 10 Years Later

引用

19th ieee International working conference on source code analysis and manipulation (SCAM)

作者： Klint, Paul van der Storm, Tijs Vinju, Jurgen SWATengineering Amsterdam Netherlands CWI Amsterdam Netherlands Univ Groningen Groningen Netherlands TUe Eindhoven Netherlands

ISBN: (纸本)9781728149370

When we designed the first version of Rascal in 2009, we jokingly promised ourselves to only write a single paper on the language itself, and see it as vehicle for research from then on,that one paper became the SCAM 2009 article [2], now awarded with the SCAM most influential paper award. Since then, Rascal has evolved significantly, and has been successfully applied in research, education, and industry. This extended abstract gives an overview of the impact of Rascal over the last 10 years, and looks at current and future developments.

关键词： Metaprogramming Rascal source code analysis

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The Software Heritage Graph Dataset: Large-scale analysis of Public Software Development History 17

The Software Heritage Graph Dataset: Large-scale Analysis of...

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ieee/ACM 17th International conference on Mining Software Repositories (MSR)

作者： Pietri, Antoine Spinellis, Diomidis Zacchiroli, Stefano INRIA Paris France Athens Univ Econ & Business Athens Greece Univ Paris Paris France

ISBN: (纸本)9781450375177

Software Heritage is the largest existing public archive of software source code and accompanying development history. It spans more than five billion unique source code files and one billion unique commits, coming from more than 80 million software projects. These software artifacts were retrieved from major collaborative development platforms (e.g., GitHub, GitLab) and package repositories (e.g., PyPI, Debian, NPM), and stored in a uniform representation linking together source code files, directories, commits, and full snapshots of version control systems (VCS) repositories as observed by Software Heritage during periodic crawls. This dataset is unique in terms of accessibility and scale, and allows to explore a number of research questions on the long tail of public software development, instead of solely focusing on "most starred" repositories as it often happens.

关键词： Software design

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