• The Journal of the Convergence on Culture Technology
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• v.2 no.4
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• pp.65-70
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• 2016

As network communication increases by using public WiFi to check e-mail and handling Internet banking, the danger of hacking public routers continues to rise. While the national policy is to further propagate public routers, users are not eager to keep their information secure and there is a growing risk of personal information leakage. Because wireless routers implement high accessibility but are vulnerable to hacking, it is thus important to analyze hacking to tackle the attacks. In this study, an analysis is made of the encryption method used in WiFi and cases of hacking WiFi by security attacks on wireless routers, and a method for tackling the attacks is suggested.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.12
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• pp.2232-2239
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• 2016

IoT industry has been highlighted in the domestic and foreign country. Since most IoT systems operate separate servers in Internet to control IoT hardwares, there exists the possibility of security problems. Also, IoT systems in markets use their own hardware controllers and devices. As a result, there are many limitations in adding new sensors or devices and using applications to access hardware controllers. To solve these problems, we have developed a novel IoT hardware control system based on a mobile messenger. For the security, we have adopted a secure mobile messenger, Telegram, which has its own security protection. Also, it can improve the easy of the usage without any installation of specific applications. For the enhancement of the system accessibility, the proposed IoT system supports various network protocols. As a result, there are many possibility to include various functions in the system. Finally, our IoT system can analyze the collected information from sensors to provide useful information to the users. Through the experiment, we show that the proposed IoT system can perform well.

• The KIPS Transactions:PartC
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• v.16C no.3
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• pp.357-362
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• 2009

Summation generator can be easily made as a simple hardware or software and it's period and linear complexity are very high. So it is appropriate to mobile security system for ubiquitous environment. But it showed us the weakness by Golic's correlation attack and Meier's fast correlation attack. In this paper, we proposed a Nonlinear Summation Generator(NSG), which is improved by using LFSR and NFSR(nonlinear feedback shift register), is different from $E_0$ algorithm which use only LFSR in summation generator. It enhanced nonlinearity and is hard to decipher even though the correlation attack or fast correlation attack. We also analyzed the security aspects and the performances for the proposed algorithm.

• International Journal of Computer Science & Network Security
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• v.21 no.12
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• pp.65-74
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• 2021

Digital image processing and retrieving have increasingly become very popular on the Internet and getting more attention from various multimedia fields. That results in additional privacy requirements placed on efficient image matching techniques in various applications. Hence, several searching methods have been developed when confidential images are used in image matching between pairs of security agencies, most of these search methods either limited by its cost or precision. This study proposes a secure and efficient method that preserves image privacy and confidentially between two communicating parties. To retrieve an image, feature vector is extracted from the given query image, and then the similarities with the stored database images features vector are calculated to retrieve the matched images based on an indexing scheme and matching strategy. We used a secure content-based image retrieval features detector algorithm called Speeded-Up Robust Features (SURF) algorithm over public cloud to extract the features and the Honey Encryption algorithm. The purpose of using the encrypted images database is to provide an accurate searching through encrypted documents without needing decryption. Progress in this area helps protect the privacy of sensitive data stored on the cloud. The experimental results (conducted on a well-known image-set) show that the performance of the proposed methodology achieved a noticeable enhancement level in terms of precision, recall, F-Measure, and execution time.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.16 no.6
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• pp.157-161
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• 2006

GSM(Global System for Mobile communications) that is the most popular standard for mobile phones, has more than 70% users in the world and the number of users increase continuously. However GSM system has the problem that cannot normally authenticate a user by the exposure of IMSI that is able to uniquely authenticate MS? during the user authentication procedure. In this paper? we provide security enhancement and user privacy by adopting a temporary id and an encryption scheme. Moreover we provide fast user authentication via architecture modification of the conventional GSM user authentication protocol.

• International journal of advanced smart convergence
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• v.13 no.2
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• pp.48-60
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• 2024

With the exponential growth of satellite data utilization, machine learning has become pivotal in enhancing innovation and cybersecurity in satellite systems. This paper investigates the role of machine learning techniques in identifying and mitigating vulnerabilities and code smells within satellite software. We explore satellite system architecture and survey applications like vulnerability analysis, source code refactoring, and security flaw detection, emphasizing feature extraction methodologies such as Abstract Syntax Trees (AST) and Control Flow Graphs (CFG). We present practical examples of feature extraction and training models using machine learning techniques like Random Forests, Support Vector Machines, and Gradient Boosting. Additionally, we review open-access satellite datasets and address prevalent code smells through systematic refactoring solutions. By integrating continuous code review and refactoring into satellite software development, this research aims to improve maintainability, scalability, and cybersecurity, providing novel insights for the advancement of satellite software development and security. The value of this paper lies in its focus on addressing the identification of vulnerabilities and resolution of code smells in satellite software. In terms of the authors' contributions, we detail methods for applying machine learning to identify potential vulnerabilities and code smells in satellite software. Furthermore, the study presents techniques for feature extraction and model training, utilizing Abstract Syntax Trees (AST) and Control Flow Graphs (CFG) to extract relevant features for machine learning training. Regarding the results, we discuss the analysis of vulnerabilities, the identification of code smells, maintenance, and security enhancement through practical examples. This underscores the significant improvement in the maintainability and scalability of satellite software through continuous code review and refactoring.

• International Journal of Computer Science & Network Security
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• v.24 no.5
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• pp.79-88
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• 2024

The information retrieval domain deals with the retrieval of unstructured data such as text documents. Searching documents is a main component of the modern information retrieval system. Locality Sensitive Hashing (LSH) is one of the most popular methods used in searching for documents in a high-dimensional space. The main benefit of LSH is its theoretical guarantee of query accuracy in a multi-dimensional space. More enhancement can be achieved to LSH by adding a bit to its steps. In this paper, a new Dynamic Locality Sensitive Hashing (DLSH) algorithm is proposed as an improved version of the LSH algorithm, which relies on employing the hierarchal selection of LSH parameters (number of bands, number of shingles, and number of permutation lists) based on the similarity achieved by the algorithm to optimize searching accuracy and increasing its score. Using several tampered file structures, the technique was applied, and the performance is evaluated. In some circumstances, the accuracy of matching with DLSH exceeds 95% with the optimal parameter value selected for the number of bands, the number of shingles, and the number of permutations lists of the DLSH algorithm. The result makes DLSH algorithm suitable to be applied in many critical applications that depend on accurate searching such as forensics technology.

• Journal of the Korea Convergence Society
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• v.6 no.4
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• pp.139-146
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• 2015

WSN has been utilized in various directions from basic infrastructure of environment composition to business models including corporate inventory, production and distribution management. However, as energy organizations' private information, which should be protected safely, has been integrated with ICT such as WSN to be informatization, it is placed at potential risk of leaking out with ease. Accordingly, it is time to need secure sensor node deployment strategies for stable enterprise business. Establishment of fragmentary security enhancement strategies without considering energy organizations' security status has a great effect on energy organizations' business sustainability in the event of a security accident. However, most of the existing security level evaluation models for diagnosing energy organizations' security use technology-centered measurement methods, and there are very insufficient studies on managerial and environmental factors. Therefore, this study would like to diagnose energy organizations' security and to look into how to accordingly establish strategies for planning secure sensor node deployment strategies.

• Convergence Security Journal
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• v.15 no.6_2
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• pp.151-160
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• 2015

According to the document from the National Industrial Security Center in 2015, from 2003 to 2014 the disclosure number of industrial spy in South Korea was 438, and the damages due to the industrial technology leakages amounted 50 trillion won annually. Because the industrial technology leakage exercises great influence on the enterprises and the country. countermeasures against industrial technology leakages should be established. Therefore, the purpose of this research is to suggest measures preventing industrial technology leakages and related crimes in enterprises by applying the Crime Prevention Through Environmental Design(CPTED) technique. This research analyzed the recent technology leakage cases and used an analysis of literature research. From the result of this research, we suggested 1) Access Control, 2) Surveillance Enhancement, 3) Territoriality of Reinforcement, and 4) Activity Support by applying the CPTED technique for preventing industrial technology leakages. The limitations of this research and the recommendations for future research were discussed at the last part of this research.

• Convergence Security Journal
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• v.13 no.4
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• pp.3-10
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• 2013

Cyber attacks are threats to national security. Today, cybersecurity threats have various types, the theft or spread of privacy and national secret, the realization of direct attacks to infrastructure and the hacktivism with political or social objectives. Furthermore, There are special situations in South Korea because of North Korea's threats. Thus, It is necessary to handle cybersecurity as a kind of national security problem. It is a time to identify problems of governance system in cybersecurity and to improve related Acts and subordinate statutes. There are several tasks for legal improvement for governance system in cybersecurity. They are improving legal bases for the roles of the relevant authorities in cybersecurity, consolidating national joint response to cyber accidents, establishing and vitalizing information sharing system, constructing foundation of cybersecurity through industry promotion and manpower development, and acquiring defensive tools by enhancement research an development. In order to address these challenges, it is necessary to pay much attention to enactment and to revision laws and to practice legislative procedure.