• Title/Summary/Keyword: Code Theft

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Theft Protection using CAN Communication for the CAR AV system (CAN Communication을 이용한 CAR AV System 도난 방지 기능 구현에 관한 연구)

  • Park, Min-Su;Chung, Ki-Hyun
    • Proceedings of the IEEK Conference
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    • 2007.07a
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    • pp.165-166
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    • 2007
  • This paper proposes an algorithm to improve the anti-theft function of the CAR_AV using the CAN(Controller Area Network) communication between CAR AV and cluster. Compare to the typical anti-theft algorithms like security code entering, the proposed one is more secure in most cases. The proposed algorithm is suitable for the recent automobile that employ the CAN network as the communication channel between their devices.

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A Functional Unit Dynamic API Birthmark for Windows Programs Code Theft Detection (Windows 프로그램 도용 탐지를 위한 기능 단위 동적 API 버스마크)

  • Choi, Seok-Woo;Cho, Woo-Young;Han, Tai-Sook
    • Journal of KIISE:Software and Applications
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    • v.36 no.9
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    • pp.767-776
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    • 2009
  • A software birthmark is a set of characteristics that are extracted from a program itself to detect code theft. A dynamic API birthmark is extracted from the run-time API call sequences of a program. The dynamic Windows API birthmarks of Tamada et al. are extracted from API call sequences during the startup period of a program. Therefore. the dynamic birthmarks cannot reflect characteristics of main functions of the program. In this paper. we propose a functional unit birthmark(FDAPI) that is defined as API call sequences recorded during the execution of essential functions of a program. To find out that some functional units of a program are copied from an original program. two FDAPIs are extracted by executing the programs with the same input. The FDAPIs are compared using the semi-global alignment algorithm to compute a similarity between two programs. Programs with the same functionality are compared to show credibility of our birthmark. Binary executables that are compiled differently from the same source code are compared to prove resilience of our birthmark. The experimental result shows that our birthmark can detect module theft of software. to which the existing birthmarks of Tamada et al. cannot be applied.

Android App Birthmarking Technique Resilient to Code Obfuscation (난독화에 강인한 안드로이드 앱 버스마킹 기법)

  • Kim, Dongjin;Cho, Seong-Je;Chung, Youngki;Woo, Jinwoon;Ko, Jeonguk;Yang, Soo-Mi
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.40 no.4
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    • pp.700-708
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    • 2015
  • A software birthmark is the set of characteristics of a program which can be used to identify the program. Many researchers have studied on detecting theft of java programs using some birthmarks. In case of Android apps, code obfuscation techniques are used to protect the apps against reverse-engineering and tampering. However, attackers can also use the obfuscation techniques in order to conceal a stolen program. A birthmark (feature) of an app can be alterable by code obfuscations. Therefore, it is necessary to detect Android app theft based on the birthmark which is resilient to code obfuscation. In this paper, we propose an effective Android app birthmark and app theft detection through the proposed birthmark. By analyzing some obfuscation tools, we have first selected parameter and the return types of methods as an adequate birthmark. Then, we have measured similarity of target apps using the birthmarks extracted from the apps, where some target apps are not obfuscated and the others obfuscated. The measurement results show that our proposed birthmark is effective for detecting Android app theft even though the apps are obfuscated.

Detecting Java Class Theft using Static API Trace Birthmark (정적 API 트레이스 버스마크를 이용한 자바 클래스 도용 탐지)

  • Park, Hee-Wan;Choi, Seok-Woo;Lim, Hyun-Il;Han, Tai-Sook
    • Journal of KIISE:Computing Practices and Letters
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    • v.14 no.9
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    • pp.911-915
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    • 2008
  • Software birthmark is the inherent characteristics that can identify a program. In this paper, we propose a Java class theft detection technique based on static API traces of class files. We utilize control flow analysis to increase resilience, and we apply the semi-global alignment trace comparison algorithm to increase credibility. The credibility and resilience experiments for XML parsers show that our birthmark is more efficient than existing birthmarks.

An Android Birthmark based on API k-gram (API k-gram 기반의 안드로이드 버스마크)

  • Park, Heewan
    • KIPS Transactions on Computer and Communication Systems
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    • v.2 no.4
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    • pp.177-180
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    • 2013
  • A software birthmark means inherent characteristics that can be used to identify a program. Because the software birthmark is difficult to remove by simple program transformation, it can be used to detect code theft. In this paper, we propose a birthmark technique based on API k-gram of Android applications. Android SDK provides various libraries that help programmers to develop application easily. In order to use Android SDK, we have to use API method calls. The API call instructions are hard to be replaced or removed, so they can be a inherent characteristics of an application. To show the effectiveness of the proposed birthmark, we compared it with previous birthmarks and evaluated it with open source applications. From the experiments, we verified that the credibility and resilience of our birthmark is higher than previous birthmarks.

A study on Countermeasures by Detecting Trojan-type Downloader/Dropper Malicious Code

  • Kim, Hee Wan
    • International Journal of Advanced Culture Technology
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    • v.9 no.4
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    • pp.288-294
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    • 2021
  • There are various ways to be infected with malicious code due to the increase in Internet use, such as the web, affiliate programs, P2P, illegal software, DNS alteration of routers, word processor vulnerabilities, spam mail, and storage media. In addition, malicious codes are produced more easily than before through automatic generation programs due to evasion technology according to the advancement of production technology. In the past, the propagation speed of malicious code was slow, the infection route was limited, and the propagation technology had a simple structure, so there was enough time to study countermeasures. However, current malicious codes have become very intelligent by absorbing technologies such as concealment technology and self-transformation, causing problems such as distributed denial of service attacks (DDoS), spam sending and personal information theft. The existing malware detection technique, which is a signature detection technique, cannot respond when it encounters a malicious code whose attack pattern has been changed or a new type of malicious code. In addition, it is difficult to perform static analysis on malicious code to which code obfuscation, encryption, and packing techniques are applied to make malicious code analysis difficult. Therefore, in this paper, a method to detect malicious code through dynamic analysis and static analysis using Trojan-type Downloader/Dropper malicious code was showed, and suggested to malicious code detection and countermeasures.

Improving Malicious Web Code Classification with Sequence by Machine Learning

  • Paik, Incheon
    • IEIE Transactions on Smart Processing and Computing
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    • v.3 no.5
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    • pp.319-324
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    • 2014
  • Web applications make life more convenient. Many web applications have several kinds of user input (e.g. personal information, a user's comment of commercial goods, etc.) for the activities. On the other hand, there are a range of vulnerabilities in the input functions of Web applications. Malicious actions can be attempted using the free accessibility of many web applications. Attacks by the exploitation of these input vulnerabilities can be achieved by injecting malicious web code; it enables one to perform a variety of illegal actions, such as SQL Injection Attacks (SQLIAs) and Cross Site Scripting (XSS). These actions come down to theft, replacing personal information, or phishing. The existing solutions use a parser for the code, are limited to fixed and very small patterns, and are difficult to adapt to variations. A machine learning method can give leverage to cover a far broader range of malicious web code and is easy to adapt to variations and changes. Therefore, this paper suggests the adaptable classification of malicious web code by machine learning approaches for detecting the exploitation user inputs. The approach usually identifies the "looks-like malicious" code for real malicious code. More detailed classification using sequence information is also introduced. The precision for the "looks-like malicious code" is 99% and for the precise classification with sequence is 90%.

Design and Implementation of Birthmark Technique for Unity Application

  • Heewan Park
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.7
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    • pp.85-93
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    • 2023
  • Software birthmark refers to a unique feature inherent in software that can be extracted from program binaries even in the absence of the original source code of the program. Like human genetic information, the similarity between programs can be calculated numerically, so it can be used to determine whether software is stolen or copied. In this paper, we propose a new birthmark technique for Android applications developed using Unity. The source codes of Unity-based Android applications use C# language, and since the core logic of the program is included in the DLL module, it must be approached in a different way from normal Android applications. In this paper, a Unity birthmark extraction and comparison system was implemented, and reliability and resilience were evaluated. The use of the Unity birthmark technique proposed in this paper is expected to be effective in preventing illegal copy or code theft of the Unity-based Android applications.

Measuring Similarity of Android Applications Using Method Reference Frequency and Manifest Information (메소드 참조 빈도와 매니페스트 정보를 이용한 안드로이드 애플리케이션들의 유사도 측정)

  • Kim, Gyoosik;Hamedani, Masoud Reyhani;Cho, Seong-je;Kim, Seong Baeg
    • The Journal of Korean Institute of Next Generation Computing
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    • v.13 no.3
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    • pp.15-25
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    • 2017
  • As the value and importance of softwares are growing up, software theft and piracy become a much larger problem. To tackle this problem, it is highly required to provide an accurate method for detecting software theft and piracy. Especially, while software theft is relatively easy in the case of Android applications (apps), screening illegal apps has not been properly performed in Android markets. In this paper, we propose a method to effectively measure the similarity between Android apps for detecting software theft at the executable file level. Our proposed method extracts method reference frequency and manifest information through static analysis of executable Android apps as the main features for similarity measurement. Each app is represented as an n-dimensional vectors with the features, and then cosine similarity is utilized as the similarity measure. We demonstrate the effectiveness of our proposed method by evaluating its accuracy in comparison with typical source code-based similarity measurement methods. As a result of the experiments for the Android apps whose source file and executable file are available side by side, we found that our similarity degree measured at the executable file level is almost equivalent to the existing well-known similarity degree measured at the source file level.

A Study on the Improvement Directions of Mobile Simple Payment System: Usage Status Point of View (모바일 간편결제 시스템 개선 방향 연구: 이용 실태 관점)

  • Choi, Heesik;Cho, Yanghyun
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.15 no.4
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    • pp.51-62
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    • 2019
  • Recently, as the number of Smart Phone users increase, the simple payment system has been able to make payments using only card information such as a registered password without extra authorized certificate authentication or input of card information. In this paper, it will examine and analyze simple payment system provided by IT companies and financial institutions and the simple payment system that operates global online payment system by case view of operational direction. Then with this examination, it will study ways to improve the problems with terms of convenience and stability in terms of users. In this paper, it will analyze the inconvenient problem in using the QR code system that recently introduced and will propose solutions. Also, it will propose suggestions to solve inconvenience that caused by system that supports NFC simple payment terminal in Korea is not universalize by analyze case study on the overseas simple payment system. It will also propose opinions on the matters that customer having responsible for event of a small financial accident related to loss or theft when using the simple payment system. Then it will suggest expected requirements to prepare new security technical countermeasures and solve the conditions of meeting expectation satisfaction of users.