• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.355-358
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• 2016

Recently, As the interest of the drone has increased the fields such as broadcasting, disaster site and leisure which uses the drone has been constantly expanded. However, an invasion of a person's privacy and a threat of hacking attack also have increased as population of drone. High-resolution cameras mounted on drones can take a photo or real-time video anytime and anywhere. It causes the invasion of privacy from private houses, buildings, and hotels. In this paper, we perform a security vulnerability assessment tests on the camera's from common commercial drones and we propose the countermeasures to protect the drones against unauthorized attacker who attempts to access the drone's camera from internal or external. Through this research, we expect the Aviation Act and legislation accept the concept of security and provide the polices such as drones equipped with security devices from the production stage to promote drone industry.

• Convergence Security Journal
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• v.17 no.2
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• pp.89-100
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• 2017

Last January 2017, Donald Trump was inaugurated as the 45th president of the United States. He actively claimed a priority for the United States, which is referred as America First, during his presidential campaign. However, his political assertions turned out to be as Isolationist in terms of foreign policy. It becomes a serious problem for South Korea because South Korea is solely dependent on the U.S. "Extended Deterrence" of North Korea's nuclear threats. In other words, there will be a higher likelihood for North Korea to misinterpret the relationship between South Korea and the U.S. Due to his foreign policy, there is a possible provocation by North Korea. Therefore, ROK-U.S. Alliance, the model of Asymmetry Alliance in order to prepare for North Korea's nuclear provocation, will be evaluated through America's perspective based on "Autonomy-Security Trade-off Model". For this purpose, this research will evaluate ROK-U.S. Alliance with regards to a threat perception, policy coordination, and a value as an ally. Based on the evaluation, it will deduce tactical implications of South Korea's alliance.

• Convergence Security Journal
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• v.19 no.3
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• pp.71-79
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• 2019

The demand of smart cars is increasing rapidly. International stand organize such as 3GPP and 5GAA are proposing standard communication protocvols for connected-car, and automotive network infrastructure. But Smart car network have many security threats and more dangerous against the existed wire communication network. Typically, peripheral devices of a smart car may disguise their identity and steal location information and personal information about the vehicle. In addition, the infrastructure elements around smart cars can conspire and put driving cars in danger, threatening lives. This is a very serious security threat. Therefore, in order to solve these problems, we proposed a system that is secure from collusion and tampering attacks using attribute-based authorize delegation method and threshold encryption algorithms. We have demonstrated using a semantic safety model that the proposed system can be safe from collusion attack.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.2
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• pp.327-333
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• 2014

The rapid expansion of the software industry has brought a serious security threat and vulnerability. Many softwares are constantly attacked by exploit codes using security vulnerabilities. Smart fuzzing is automated method to find software vulnerabilities. However, Many resources are consumed in fuzzing, because the fuzzing needs to create data model for target software and to analyze a data file and software binary. Therefore, The automated method for efficient smart fuzzing is needed to develop the automated data model. In this paper, through analysing the input file format and optimizing the data structure, we propose an efficient data modeling framework for smart fuzzing and implement the framework for detect software vulnerabilities.

• Journal of the Korea Society of Computer and Information
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• v.24 no.11
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• pp.201-208
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• 2019

In the phono-sapiens era of the intelligence information society, most business activities are increasingly dependent on networks and information systems. SMEs, which occupy the majority of Korean companies, are increasingly possessing the value and technology of their information assets, and their ability to protect core technologies that are the driving force of corporate growth will be the most important competitiveness of enterprises. Accordingly, the Ministry of Science and ICT and the Korea Internet & Security Agency(KISA) provides a foundation for minimizing the damage from cyber threats such as hacking and information leakage by evaluating the current information protection level of SMEs and enhancing information protection capability by supporting a high level of customized information protection consulting. In this study, we analyze the effectiveness of information protection based on the results of KISA SMEs consulting. In addition, by identifying problems and limitations derived from SMEs information protection consulting results, SMEs should propose measures to improve information security of SMEs that can manage information protection management system more efficiently and effectively.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.9
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• pp.1227-1233
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• 2021

QR Code has been used in various forms such as simple business cards and URLs. Recently, the influence of Corona 19 Fundemik has led to the use of QR Codes to track travel routes through visits and entry / exit records, and QR Code usage has skyrocketed. In this way, most people have come to use it in the masses and are constantly under threat. In the case of QR Code, you do not know what you are doing until you execute it. Therefore, if you undoubtedly execute a QR Code with a malicious URL inserted, you will be directly exposed to security threats. Therefore, this paper provides a cloud-based malware QR Code detection system that can make a normal connection only when there is no abnormality after determining whether it is a malicious QR Code when scanning the QR Code.

• Journal of Convergence for Information Technology
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• v.8 no.6
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• pp.165-171
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• 2018

The most threatening attack that has become a hot topic of recent IT security is APT Attack.. So far, there is no way to respond to APT attacks except by using artificial intelligence techniques. Here, we have implemented a machine learning algorithm for analyzing cyber threat data using machine learning method, using a data set that collects cyber attack cases using Scikit Learn, a big data machine learning framework. The result showed an attack classification accuracy close to 70%. This result can be developed into the algorithm of the security control system in the future.

• Convergence Security Journal
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• v.18 no.3
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• pp.95-103
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• 2018

The military's morale is a serious threat in terms of defense posture and protection of national security and the nation's right to survival, as it has led to losses in talented manpower, weakened fighting spirit, damaged troop confidence, and reduced work efficiency and morale. Under these circumstances, a stronger defense posture and maximum morale among the troops should be followed by a thorough diagnosis and results on the factors affecting the military's morale. Professional soldiers often travel to work because of the special nature of their jobs. Among the problems associated with these characteristics is child education. Frequent shifts of military sites are intended to be made based on the analysis of the overall state of the military service education system, such as moving frequently with family members or separating with the family due to issues related to children's education.

• Convergence Security Journal
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• v.19 no.2
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• pp.11-19
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• 2019

The blockchain is a technique for managing transaction data in distributed computing manner without the involvement of central trust authority. The blockchain has been used in various area such as manufacturing, culture, and public as well as finance because of its advantage of the security, efficiency and applicability. In the blockchain, it was considered safe against 51% attack because the adversary could not have more than 50% hash power. However, there have been cases caused by large-scale computing attacks such as 51% and selfish mining attack, and the frequency of these attacks is increasing. In addition, since the development of quantum computers can hold exponentially more information than their classical computer, it faces a new type of threat using quantum algorithms. In this paper, we perform the security analysis of blockchain attacks composing the large computing capabilities including quantum computing attacks. Finally, we suggest the technologies and future direction of the blockchain development in order to be safe against large-scale computing attacks.

• Convergence Security Journal
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• v.19 no.2
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• pp.29-38
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• 2019

For that reason, trend research has been actively conducted to identify and analyze the key topics in large amounts of data and information. Also personal information protection field is increasing activities in order to identify prospects and trends in advance for preemptive response. However, only research based on technology such as trends in information security field and personal information protection solution is broadly taking place. In this study, threat-based trends in personal information protection field is analyzed through text mining method. This will be the key to deduct undiscovered issues and provide visibility of current and future trends. Policy formulation is possible for companies handling personal information and for that reason, it is expected to be used for searching direction of strategy establishment for effective response.