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SCORE: source code optimization & REconstruction

IEEE ACCESS 2020年 8卷 129478-129496页

作者： Suk, Jae Hyuk Lee, Young Bi Lee, Dong Hoon Korea Univ Grad Sch Informat Secur Seoul 02841 South Korea

The main goal of obfuscation is to make software difficult to analyze. Although obfuscation is one useful method to protect programs, the ability to analyze malware is greatly reduced if used for malicious purposes. The obfuscation technique is most applicable at the binary level, but it can also be applied at the source code level. Although source-level techniques can be applied regardless of the target platform, these are often optimized and eliminated during compilation. However, when control-flow obfuscation is applied at the source code level, removal is not possible. When applied for malicious purposes, the ability to analyze the source code and compiled binary code is greatly reduced. To date, no research has presented a method that increases the readability of source code or the ability to analyze compiled binaries via optimization at the source level. In this paper, we select a very powerful obfuscation tool that provides options, including control-flow obfuscation, at the source level. The result of our research is a tool that outputs optimized source code and performs control-flow reconstruction as preprocessing, which increases readability even when control-flow obfuscation has been applied. The results also suggest an improvement in the ability to analyze binary code. As a result, more than 70% of the source code can be optimized at the source level, and the control-flow graph can be serialized. The optimized source code compiles more concise binary code even if no compiler optimizations are applied. Finally, the paper concludes by presenting the results of a module that prevents deobfuscation through code tampering (preventive obfuscation) at the source code level.

关键词： Control-flow obfuscation control-flow reconstruction source code obfuscation source code optimization source code anti-tampering

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On source code optimization for Interpreted Languages using State Models 11

On Source Code Optimization for Interpreted Languages using ...

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11th International Conference on Evaluation of Novel Software Approaches to Software Engineering

作者： Lopez, Jorge Kushik, Natalia Yevtushenko, Nina Tomsk State Univ Dept Informat Technol Lenin Str 36 Tomsk Russia Univ Paris Saclay SAMOVAR CNRS Telecom SudParis 9 Rue Charles Fourier F-91000 Evry France

ISBN: (纸本)9789897581892

The paper is devoted to code optimization techniques with respect to various criteria. code optimization is well studied for compiled languages;however, interpreted languages can also benefit when using optimization approaches. We provide a work in progress of how the code optimization can be effectively performed for the applications developed with the use of interpreted languages. Methods and techniques proposed in the paper rely on the use of formal models, and in particular state models. We propose some code optimization based on two different state models, namely weighted tree automata, and extended finite automata. The problem of extraction of such models is known to be hard, and in both cases we provide some recommendations of how such models can be derived for a code in an interpreted language. All the optimization techniques proposed in the paper are followed by corresponding illustrative examples.

关键词： source code optimization Quality of Software State Models

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Comparative Analysis of Large Language Models in source code Analysis 1

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International Conference on Intelligent and Fuzzy Systems (INFUS)

作者： Erdogan, Huseyin Turan, Nezihe Turhan Onan, Aytug Izmir Katip Celebi Univ Inst Sci & Engn Dept Syst Engn TR-35620 Izmir Turkiye Izmir Katip Celebi Univ Fac Engn & Architecture Dept Engn Sci TR-35620 Izmir Turkiye Izmir Katip Celebi Univ Fac Engn & Architecture Dept Comp Engn TR-35620 Izmir Turkiye

ISBN: (数字)9783031700187

ISBN: (纸本)9783031700170;9783031700187

This article is a summary of a study focusing on Artificial Intelligence (AI) based source code analysis amidst the complexity of software development and rapidly evolving technological needs. The study evaluates analyses conducted to improve code quality, detect errors, and perform code optimization by examining the potential impacts of AI in software development processes. The time spent on research and experiments for detecting and resolving errors in the software development process has been a constant source of concern. In this context, the results of using unoptimized source code often lead to outputs that directly affect complex and maintenance costs. The topic has been extensively addressed in the literature as a comprehensive subject known as AI, code Intelligence (CI), and Programming Language Processing (PLP) and has been the focus of various surveys and application studies. The article suggests that the use of AI could be a potential solution to increase efficiency and minimize errors in software development processes. In the study, two different AI tools, namely ChatGPT and Gemini, were used to address problem resolution. Two different models, GPT4 and Gemini, were included in the analysis process. JavaScript was the preferred language for obtaining source code, which was sourced from the GitHub platform.

关键词： Artificial Intelligence source code Analysis source code Improvement source code optimization source code Quality Data Mining Deep Learning Machine Learning ChatGPT Gemini GPT4

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Validating Software Security using Regular Expressions

Validating Software Security using Regular Expressions

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International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)

作者： Abahussain, Omar Hammad, Mustafa Univ Bahrain Dept Comp Sci Sakhir Bahrain

ISBN: (纸本)9781728130125

In modern society, software security has become an essential part of most software systems. As nowadays, new systems roll out more than ever, cybercriminals and unethical hackers tend to target those new systems to abuse and exploit its vulnerability to achieve a specific goal regardless of the consequences. Thus, validating software security is a challenging task and of crucial importance. The paper aims to find an optimal logical approach to test and validate software security through static analysis using regular expressions.

关键词： software security testing static analysis regular expressions software static analysis tool prototype source code optimization

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An Interactive Visual Tool for code optimization and Parallelization Based on the Polyhedral Model 45

An Interactive Visual Tool for Code Optimization and Paralle...

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45th International Conference on Parallel Processing (ICPP)

作者： Papenhausen, Eric Mueller, Klaus Langston, M. Harper Meister, Benoit Lethin, Richard SUNY Stony Brook Comp Sci Stony Brook NY 11794 USA Reservoir Labs New York NY USA

ISBN: (纸本)9781509028252

Writing high performance software requires the programmer to take advantage of multi-core processing. This can be done through tools like OpenMP, which allow the programmer to mark parallel loops. Identifying parallelizable loops, however, is a non-trivial task. Furthermore, transformations can be applied to a loop nest to expose parallelism. Polyhedral compilation has become an increasingly popular technique for exposing parallelism in computationally intensive loop nests. These techniques can simultaneously optimize for a number of performance parameters (i.e. parallelism, locality, etc). This is typically done using a cost model designed to give good performance in the general case. For some problems, the compiler may miss optimization opportunities or even produce a transformation that leads to worse performance. In these cases, the user has little recourse, since there are few options for the user to affect the transformation decisions. In this paper we present PUMA-V, a visualization interface that helps the user understand and affect the transformations made by R-Stream, an industrial strength optimizing compiler based on the polyhedral model. This tool visualizes performance heuristics and runtime performance statistics to help the user identify missed optimization opportunities. Changes to the transformed code can be made by directly manipulating the visualizations. We show an example where performance is greatly improved over the polyhedral model alone by using our tool.

关键词： polyhedral model source code optimization visualization performance analysis

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Using Modern ANSI C Development Tools to Increase Productivity and Ensure Test and Measurement Application Reliability

Using Modern ANSI C Development Tools to Increase Productivi...

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AUTOTESTCON 2010 Systems Readiness Technology Conference

作者： Kruger, Adri Natl Instruments Austin TX 78759 USA

ISBN: (纸本)9781424479597

Over the past few decades, the ANSI C language has become one of the most popular test and measurement programming languages due to its power and flexibility. ANSI C applications can be optimized for improved performance because of the developer's ability to have low level control through direct access to memory and hardware specific function calls. Although the ANSI C language provides low level control of application development resulting in the freedom to optimize source code for improved execution performance, it can also lead to programming mistakes. Some examples of the most common ANSI C programming mistakes are syntax errors, incorrect array indexing, memory leaks and inefficient function implementation, which can cause sluggish execution speeds on deployed test systems. Unlike high-level language developers, ANSI C developers are challenged with the added responsibility of ensuring that low level details are handled appropriately in order to ensure that applications are reliable and stable. Modern tools are becoming available to help ANSI C developers face these challenges and, often, integrate directly into existing development environments. This paper examines how and why ANSI C developers commonly make programming mistakes related to syntax, memory allocation and inefficiencies in application source code, and focuses on overcoming these challenges with modern development tools. Some of these modern ANSI C development tools include run-time debugging, resource tracking and run-time analysis and help to increase developer productivity and ensure the reliability of test systems.

关键词： ANSI C language ANSI standards C language automatic test equipment direct access memory hardware specific function call incorrect array indexing measurement application reliability measurement programming language memory leak modern ANSI C development tool program debugging programming mistake resource tracking run time analysis run time debugging software reliability source code optimization syntax error test application

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An interactive profiler and parallelizer toolkit

An interactive profiler and parallelizer toolkit

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International Conference on Parallel and Distributed Processing Techniques and Applications

作者： Chun, R Rao, K San Jose State Univ Dept Comp Sci San Jose CA 95192 USA

ISBN: (纸本)1932415262

Parallel programming has remained a topic of extensive research over the last few decades. With the advent of cluster computing, significant improvements in runtime performance can be achieved by parallelizing sequential code. The process of parallelizing a serial program is however a labor-intensive and complex operation that involves limitations. This paper describes a software toolkit designed to assist the process of parallelizing sequential code by targeting those functions, subroutines, and loop computations that consume a major portion of the execution time. These time-consuming portions of the code are identified using static analysis as opposed to a more expensive dynamic analysis. The tool is designed to target sequential programs that are written in Fortran. In addition to other features, the tool includes a user-friendly interactive environment that gives feedback to the user regarding the potential bottlenecks in the sequential code. The toolkit has been designed using Perl, Tcl/Tk and uses Message Passing Interface (MPI) as the basis for interprocessor communication to maximize portability.

关键词： parallel processing CASE profile analysis static analysis source code optimization

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