• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.1
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• pp.99-107
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• 2022

In the current technological society, where various technologies are converged into one and being transformed into new technologies, new cyber attacks are being made just as they keep pace with the changes in society. In particular, due to the convergence of various attacks into one, it is difficult to protect the system with only the existing security system. A lot of information is being generated to respond to such cyber attacks. However, recklessly generated vulnerability information can induce confusion by providing unnecessary information to administrators. Therefore, this paper proposes a mechanism to assist in the analysis of emerging cyberattack convergence technologies by providing differentiated vulnerability information to managers by learning documents using deep learning-based language learning models, extracting vulnerability information and classifying them according to the MITRE ATT&CK framework.

• Journal of the Korea Convergence Society
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• v.7 no.5
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• pp.29-34
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• 2016

Recently, with the development of high-tech industry, the use of the drones in various aspects of daily life is rapidly advancing. With technical and functional advancements, drones have an advantage of being easy to be utilized in the areas of use according to various lifestyles. In addition, through the diversification of the drone service converged with image processing medium such as camera and CCTV, an automated security system that can replace humans is expected to be introduced. By designing these unmanned security technology, a new convergence security drone service techniques that can strengthen the previous drone application technology will be proposed. In the proposed techniques, a biometric authentication technology will be designed as additional authentication methods that can determine the safety incorporated with security by selecting the search and areas of an object focusing on the objects in the initial windows and search windows through OpenCV technology and CAM-Shift algorithm which are an object tracking algorithm. Through such, a highly efficient security drone convergence service model will be proposed for performing unmanned security by using the drones that can continuously increase the analysis of technology on the mobility and real-time image processing.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.6B
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• pp.970-976
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• 2010

Platform convergence originated from the convergence of broadcast and telecommunication is making rapid progress including IT and not-IT fields in order to provide a variety of converged services, S/W eco-system construction, and so on. With the advent of convergence environment, IEEE 802.15.4-based RF4CE technology is rising because of creating momentum for the market using converged connectivity between home and office devices as well as all around located devices. In this paper, we present enhanced RF4CE key seed distribution approach in order to provide efficient connection and control between devices. The proposed approach consists of device mutual authentication, initial vector assignment, and two-phase key seed distribution. Moreover, we make a development real RF4CE test board and its key agreement simulator to verify the proposed approach.

• Convergence Security Journal
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• v.17 no.3
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• pp.41-49
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• 2017

According to a research by global IT market research institute IDC, CSIM(Converged Security Information Management) market of Korea was estimated to be 1.7 trillion KRW in 2010, and it has grown approximately 32% every year since. IDC forcasts this size to grow to 12.8 trillion KRW by 2018. Moreover, this case study exemplifies growing importance of CSIM market worldwide. Traditional CSIM solution consists of various security solutions(e.g. firewall, network intrusion detection system, etc.) and devices(e.g. CCTV, Access Control System, etc.). With this traditional solution, the the data collected from these is used to create events, which are then used by the on-site agents to determine and handle the situation. Recent development of IoT industry, however, has come with massive growth of IoT devices, and as these can be used for security command and control, it is expected that the overall amount of event created from these devices will increase as well. While massive amount of events could help determine and handle more situations, this also creates burden of having to process excessive amount of events. Therefore, in this paper, we discuss potential events that can happen in CSIM system and classify them into 3 groups, and present a model that can categorize and process these events effectively to increase overall efficieny of CSIM system.

• Convergence Security Journal
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• v.19 no.2
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• pp.59-72
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• 2019

In this day and age physical and cyber boundaries have converged due to the development of new technologies, such as the Internet of Things (IoT) and the Cyber Physical System (CPS). As the relationship between physical system and cyber technology strengthens, more diverse and complex forms of risk emerge. As a result, it is becoming difficult for single organization or government to fully handle this situation alone and cooperation based on information sharing and the strengthening of active defense systems are needed. Shifting to a system in which information suitable for various entities can be shared and automatically responded to is also necessary. Therefore, this study tries to find improvements for the current system of threat information collecting and sharing that can actively and practically maintain cyber defense posture, focusing particularly on the structuring of information sharing platforms. To achieve our objective, we use a risk communication theory from the safety field and propose a new platform by combining an action-oriented security process model.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.4
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• pp.839-847
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• 2015

To seamlessly provide content through the Internet, it is generally considered to use distributed processing for content requests converged on original content providers like P2P, CDN, and ICN. That is, after other nodes temporally save content, they handle content requests instead of original content providers. However, in this case, it may be possible that a content sender is different from the original provider of the content. In this case, users may be exposed to various risks. To solve such a problem, it is highly recommended to verify received contents before using them, but it can cause network traffic increases as well as a serious service delay. This paper proposes an efficient content verification scheme for distributed networking/data store environments and analyzes its performance.

• The KIPS Transactions:PartC
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• v.12C no.4 s.100
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• pp.465-472
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• 2005

IEEE 802.11 wireless LAN technology is essential for wireless internet, next generation converged network and home network. But, it is certain that user's privacy must be provided to expand the applicable area in IEEE 802.11 WLAN. Recently, WEP and 802.11i security scheme can be used in MAC Layer. But with VPN technology which is applied to WLAN user, it means that suity mechanism is used redundantly. One bit authentication mechanism was already proposed to solve this redundancy. In this paper, we analyze problems of 1-bit Authentication mechanism which are failure of synchronization and waste of packet. And we propose new algorithm which synchronizes sender with receiver, at once, using duplicated-packet-count information. We show that our algorithm improves success probability of packet authentication up to $98\%$ and efficiency of authentication bit stream up to $97\%$.

• Journal of Digital Contents Society
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• v.18 no.7
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• pp.1357-1366
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• 2017

In the context of domestic consumption environment changes such as expansion of smartphones and increase of single-person households, hypermarket, which was the mainstream of the existing retail market, have recorded negative growth for the last three years due to declining sales. And it is not enough to analyze the influence relationship with other retail channels or investigate the cause of consumption movement. In this study, we analyzed the decline in the growth rate of hypermarket by demographic variables, consumption time, etc. And logistic regression analysis revealed the relationship between the decrease in consumption of hypermarket and the change in the proportion of sales of other retail channels. In addition, we surveyed consumers who have decreased consumption of hypermarket based on actual card consumption data to determine why they choose different retail channels. This is significant in that the result of quantitative analysis of changes in retail channel consumption and the result of qualitative reasoning converged to give a stereoscopic view of consumption.

• Convergence Security Journal
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• v.19 no.4
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• pp.87-96
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• 2019

Recently, with the rapid development of video equipment and technology, tremendous video information is produced and utilized in military domain to acquire battlefield information or for effective command control. Note that the video playback devices currently used in the military domain ranges from low-performance tactical multi-functional terminals (TMFT) to high-performance video servers and the networks where the video information is transmitted also range from the low speed tactical information and communication network (TICN) to ultra-high speed defense broadband converged networks such as M-BcN. Therefore, there is a need for an efficient streaming technique that can efficiently transmit defense video information in heterogeneous communication equipment and network environments. To solve the problem, this paper proposes a Scalable Video Coding (SVC) and balanced selection algorithm based Peer-to-Peer (P2P) streaming technique and the feasibility of the proposed technique is verified by simulations. The simulation results based on our BitTorrent simulator show that the proposed balanced selection scheme outperforms the sequential or rarest selection algorithm.

• Convergence Security Journal
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• v.12 no.6
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• pp.31-37
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• 2012

Today, the core technology of an automobile is becoming to IT-based convergence system technology. To cope with many kinds of situations and provide the convenience for drivers, various IT technologies are being integrated into automobile system. In this paper, we propose an convergence system, which is called Augmented Driving System (ADS), to provide high safety and convenience of drivers based on image information processing. From imaging sensor, the image data is acquisited and processed to give distance from the front car, lane, and traffic sign panel by the proposed methods. Also, a converged interface technology with camera for gesture recognition and microphone for speech recognition is provided. Based on this kind of system technology, car accident will be decreased although drivers could not recognize the dangerous situations, since the system can recognize situation or user context to give attention to the front view. Through the experiments, the proposed methods achieved over 90% of recognition in terms of traffic sign detection, lane detection, and distance measure from the front car.