• International Journal of Computer Science & Network Security
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• v.22 no.10
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• pp.237-245
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• 2022

The prominence of IoTs (Internet of Things) and exponential advancement of computer networks has resulted in massive essential applications. Recognizing various cyber-attacks or anomalies in networks and establishing effective intrusion recognition systems are becoming increasingly vital to current security. MLTs (Machine Learning Techniques) can be developed for such data-driven intelligent recognition systems. Researchers have employed a TFDNNs (Tensor Flow Deep Neural Networks) and DCNNs (Deep Convolution Neural Networks) to recognize pirated software and malwares efficiently. However, tuning the amount of neurons in multiple layers with activation functions leads to learning error rates, degrading classifier's reliability. HTFDNNs ( Hybrid tensor flow DNNs) and MRNs (Modified Residual Networks) or Resnet CNNs were presented to recognize software piracy and malwares. This study proposes HTFDNNs to identify stolen software starting with plagiarized source codes. This work uses Tokens and weights for filtering noises while focusing on token's for identifying source code thefts. DLTs (Deep learning techniques) are then used to detect plagiarized sources. Data from Google Code Jam is used for finding software piracy. MRNs visualize colour images for identifying harms in networks using IoTs. Malware samples of Maling dataset is used for tests in this work.

• Proceedings of KOSOMES biannual meeting
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• 2005.11a
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• pp.91-110
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• 2005

Maritime terrorism at sea is the form of violent interference with shipping. Its global reach and negative impact on sea transportation, safety of navigation and marine environment, as well as the threat it poses to human lives and property, call for effective countermeasures at the international and national level at the same time. First, this paper gives a factual assessment of the phenomenon of maritime terrorism as well as a legal analysis of the international provisions to suppress such forms of violence at sea which is different from piracy. And also this paper attempts to address and identify issues relevant to the existing international regulations such as SUA Convention as the main source of international regulations applicable to acts of terrorism at sea, ISPS Code, PSI, etc. Finally this paper suggests the national countermeasures against maritime terrorism in light of above mentioned the definition, causes, types of maritime terrorism and concerning international regulations.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2005.11a
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• pp.319-323
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• 2005

As the software industry develops at a rate speed, anyone can copy or plagiarize without difficulty contents that are becoming digitalized. To make it worse, the development of various contents that be illegally copied and plagiarized are resulting in the increasing infringement on and the plagiarism of the intellectual property. This dissertation tries to put forth the method and the theory to effectively detect any plagiarism of the source code of programs realized in various languages. This dissertation analyzes the advantage and disadvantage of the plagiarism test software, and especially, presents a method to detect possible plagiarism by using the Pattern Matching to overcome its disadvantage. And it also intends to introduce more developed automatic detection system by overcoming the problems with the method of Pattern Matching.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.11
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• pp.6849-6855
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• 2014

Recently, with the increasing use of smart phones, security issues, such as safety and reliability of the use of the Android application has become a topic to provide services in various forms. An Android application is performed using several important files in the form of an apk file. On the other hand, they may be subject to unauthorized use, such as the loss of rights and privileges due to the insertion of malicious source code of these apk files. This paper examines the Android environment to study ways to define the threats related to the unauthorized use of the application source code, and based on the results of the analysis, to prevent unauthorized use of the application source code. In this paper, a system is provided using a third body to prevent and detect applications that have been counterfeited or forged illegally and installed on Android devices. The application provides services to existing systems that are configured with only the service server that provides users and applications general, This paper proposes the use of a trusted third party for user registration and to verify the integrity of the application, add an institution, and provide a safe application.

• Journal of Software Assessment and Valuation
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• v.15 no.1
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• pp.55-62
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• 2019

The needs for small size and low power consumption of information devices is being implemented with SOC technology that implements the program on a single chip in Internet of Thing. Copyright disputes due to piracy are increasing in semiconductor chips as well, arising from disputes in the chip implementation of the design house and chip implementation by the illegal use of the source code. However, since the final chip implementation is made in the design house, it is difficult to protect the copyright. In this paper, we deal with the analysis method for extracting similarity and the criteria for setting similarity judgment in the dispute of source code written in HDL language. Especially, the chip which is manufactured based on the same specification will be divided into the same configuration and the code type.

• Smart Media Journal
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• v.4 no.2
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• pp.34-45
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• 2015

The illegal copy of Windows software is one of the problems, because Windows is the most popular operating system in the country. The illegal copy can be infringe a software copyright, and software birthmark is one of solutions which is protecting software copyright. Software birthmark is a technique to distinguish software piracy using feature information from software. The type of software birthmark can be differentiated between static birthmark and dynamic birthmark through an extraction method. Static birthmark and dynamic birthmark have strengths and weaknesses. In this paper, we propose similarity measurement technique using dynamic birthmark based on API, and we explain extraction process of dynamic birthmark. In addition, we have verified that the proposed similarity measurement technique meet resilience and credibility through experiment. Furthermore, we saw that proposed measurement technique better than existing measurement technique.

• 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.