• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.6
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• pp.1151-1166
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• 2020

To effectively prevent the spread of COVID-19 infections, contact tracing technology based on ICT technology is used and various types exist depending on the way they are tracked. However, these technologies are always exposed to security threats and each type of threat varies. In this paper, we identified processes that occur in common in various types of contact tracing technology and identified possible threats in this process. This resulted in a common evaluation criteria applicable to all types of contact tracing technologies and applied to actual published contact tracing technologies to perform comparative analysis by type. These studies can help select safe and effective contact tracing technologies through comparisons between different types.

• Convergence Security Journal
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• v.16 no.3_1
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• pp.107-114
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• 2016

The North Korean regime, Kim Jungun's foreign policy is changed frequently. And their military policy has no gravity. North Korea has developed nuclear weapons and long range missile. Now they have Inter-Continental Ballistic Missile. These activities redound a great threat in Korean peninsula. There are a no possibilities to give up its nuclear weapons and missile development. For the peace in Korean peninsula, we should make North Korea to abandon its nuclear himself through effective sanctions. Now China should effort to control North Korea. To reduce the threat we should coordinate the strategic interests of China and US. This study is to predict the North Korea military activities to analyze "military policies."

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.2
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• pp.533-540
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• 2016

It is important to establish the environment for cyber warrior training, testing support and effectiveness analysis in order to cope with sharply increasing cyber threat. However, those practices cannot be easily performed in real world and are followed with many constraints. In this paper, we propose a live/virtual M&S-based system for training/testing and constructive M&S-based system for effectiveness analysis to provide an environment similar to real world. These can be utilized to strengthen the capability to carry out cyber war and analyze the impact of cyber threat under the large-scale networks.

• Journal of Korea Society of Industrial Information Systems
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• v.8 no.1
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• pp.62-74
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• 2003

Information security becomes a critical attribute to corporate information systems as increased strategic an operational reliance on information systems. Current proliferation of password requires more attention on information security because its nature of external connection with password user makes information systems more vulnerable from various threats are an important element of information systems management. This study focused on two issues : (1) the relationships between risk management factors(asset, threat, vulnerability) and risk level affected by threat, (2) the relationships between risk level and key password characteristics(length, composition, lifetime, selection method).

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.5
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• pp.1313-1322
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• 2016

Recently, many virus and hacking attacks on public organizations and financial institutions by internet are becoming increasingly intelligent and sophisticated. The Advanced Persistent Threat has been considered as an important cyber risk. This attack is basically accomplished by spreading malicious codes through complex networks. To detect and extract PE files in smart manufacturing industry networks, an efficient processing method which is performed before analysis procedure on malicious codes is proposed. We implement a preprocessor of open intrusion detection system Snort for fast extraction of PE files and install on a hardware sensor equipment. As a result of practical experiment, we verify that the network sensor can extract the PE files which are often suspected as a malware.

• International Journal of Computer Science & Network Security
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• v.21 no.1
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• pp.97-106
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• 2021

Social networking platforms have become a smart way for people to interact and meet on internet. It provides a way to keep in touch with friends, families, colleagues, business partners, and many more. Among the various social networking sites, Twitter is one of the fastest-growing sites where users can read the news, share ideas, discuss issues etc. Due to its vast popularity, the accounts of legitimate users are vulnerable to the large number of threats. Spam and Malware are some of the most affecting threats found on Twitter. Therefore, in order to enjoy seamless services it is required to secure Twitter against malicious users by fixing them in advance. Various researches have used many Machine Learning (ML) based approaches to detect spammers on Twitter. This research aims to devise a secure system based on Hybrid Similarity Cosine and Soft Cosine measured in combination with Genetic Algorithm (GA) and Artificial Neural Network (ANN) to secure Twitter network against spammers. The similarity among tweets is determined using Cosine with Soft Cosine which has been applied on the Twitter dataset. GA has been utilized to enhance training with minimum training error by selecting the best suitable features according to the designed fitness function. The tweets have been classified as spammer and non-spammer based on ANN structure along with the voting rule. The True Positive Rate (TPR), False Positive Rate (FPR) and Classification Accuracy are considered as the evaluation parameter to evaluate the performance of system designed in this research. The simulation results reveals that our proposed model outperform the existing state-of-arts.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.203-205
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• 2022

As digital transformation and remote work environment advanced by Covid-19 become more common, the scale of leakage damage to industrial secrets and personal information caused by information leakage attacks is increasing. Recently, advanced and persistent information leakage attacks have become a serious security threat because they do not quickly leak large amounts of information, but continuously leak small amounts of information over a long period of time. In this study, we propose a framework for detecting advanced and persistent information leakage attacks based on traffic characteristics. The proposed method can effectively detect advanced and persistent information leakage attacks using traffic patterns, packet sizes, and metadata, even if the payload is encrypted.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.11
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• pp.2399-2403
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• 2011

Radio Frequency Identification(RFID) has been considered as an key infrastructure for the ubiquitous society. However, due to the inherent drawbacks, RFID causes var- ious security threats like privacy problems, tag cloning, etc. This paper analyses the security risk analysis process from the perspective of the RFID tag life cycle, identify the tag usage process, identify the associated vulnerability and threat to the confidentiality, integrity and availability of the information assets and its implications for privacy, and the mitigate the risks.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.762-766
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• 2004

This paper introduces a testbed which is suitable for the study of security issues arising in applications involving internet appliances. The testbed implements secure door locks by utilizing the intranet in the building and is composed of two main parts, namely a database server and door locks each of which equipped with a custom-made embedded system. The main objective is to provide a platform for teaching the conflict among real-time specifications, security requirements, and limited-resource constraints. After definitions of threat, vulnerability, and attack are given, we discuss how the testbed can be applied as an education tool for these concepts. Finally, the effects of sequential and multitasking operations are given as a case study.

• 한국경영정보학회:학술대회논문집
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• 2007.06a
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• pp.951-958
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• 2007

Radio Frequency Identification (RFID) is a technology for automated identification of objects and people. RFID may be viewed as a means of explicitly labeling objects to facilitate their "perception" by computing devices. RFlD systems have been gaining more popularity in areas especially in supply chain management and automated identification systems. However, there are many existing and potential problems in the RFlD systems which could threat the technology s future. To successfully adopt RFID technology in various applications. we need to develop the solutions to protect the RFID system s data information. This study investigates important issues related to privacy and security of RF1D based on the recent literature and suggests solutions to cope with the problem.