• Korean Security Journal
• /
• no.11
• /
• pp.61-86
• /
• 2006

Various terrorism in modern society against nation's dignitaries are constantly existing. They damage severely to the society and the nation's security, and they cause disorganizations of social and national rule orders. In order to provide the key figures' perfect protection, the threatening terroizing environment for primary leaders and the route of terrorism should be intercepted. Effective methods of these are summarized as follow. First, recent terrorism against the primary leaders are mostly assassinations, bomb attacks, and suicide bomb attacks, which terminate in a moment. Therefore, security service agents should keep in mind that protection is the best, and government's anti-terrorism agencies should develop policies and set the directions within a new paradigm to the advance anti-terrorism. Second, advance prevention activities against nation's VIP terrorism should be strengthened, such as strengthening security informational activities, constructing cooperative systems of domestic and international facilities, considering continuous system to prevent terrorism, and intensifying safety counterplans of human and material weak points. Third, international cooperative system should be set to apply economical and political sanctions to nations which support terror organizations in direct or indirect ways, and this system needs to strengthen the punishment against terrorists. Fourth, security systems to protect nation's primary leaders should complement, and developing programs for coping with the terrorism and establishing laws for anti-terrorism should be made. Also, educational training of agents who perform anti-terrorism duties should be strengthened, and scientific techniques and equipment for security should be made to protect primary leaders from terrorism.

• Journal of Industrial Convergence
• /
• v.22 no.4
• /
• pp.1-9
• /
• 2024

Smart factories represent production facilities where cutting-edge information and communication technologies are fused with manufacturing processes, reflecting rapid advancements and changes in the global manufacturing sector. They capitalize on the integration of robotics and automation, the Internet of Things (IoT), and the convergence of artificial intelligence technologies to maximize production efficiency in various manufacturing environments. However, the smart factory environment is prone to security threats and vulnerabilities due to various attack techniques. When security threats occur in smart factories, they can lead to financial losses, damage to corporate reputation, and even human casualties, necessitating an appropriate security response. Therefore, this paper proposes a security authentication mechanism for safe communication in the smart factory environment. The components of the proposed authentication mechanism include smart devices, an internal operation management system, an authentication system, and a cloud storage server. The smart device registration process, authentication procedure, and the detailed design of anomaly detection and update procedures were meticulously developed. And the safety of the proposed authentication mechanism was analyzed, and through performance analysis with existing authentication mechanisms, we confirmed an efficiency improvement of approximately 8%. Additionally, this paper presents directions for future research on lightweight protocols and security strategies for the application of the proposed technology, aiming to enhance security.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.26 no.6
• /
• pp.1461-1470
• /
• 2016

In side channel analysis, signal processing techniques can be used as preprocessing to enhance the efficiency and performance of analysis by reducing the noise or compressing the dimension. As signal processing techiniques using singular value decomposition can increase the information of main signal and reduce the noise by using the variance and tendency of signal, it is a great help to improve the performance of analysis. Typical techniques of that are PCA(Principal Component Analysis), LDA(Linear Discriminant Analysis) and SSA(Singular Spectrum Analysis). PCA and LDA can compress the dimension with increasing the information of main signal, and SSA reduces the noise by decomposing the signal into main siganl and noise. When applying each one or combination of these techniques, it is necessary to compare the performance. Therefore, it needs to suggest methodology of that. In this paper, we compare the performance of the three technique and propose using Sinal-to-Noise Ratio(SNR) as the methodology. Through the proposed methodology and various experiments, we confirm the performance and efficiency of each technique. This will provide useful information to many researchers in the field of side channel analysis.

• Journal of Korean Society of Disaster and Security
• /
• v.15 no.4
• /
• pp.87-98
• /
• 2022

In recent years, frequent localized heavy rainfalls, which have a lot of rainfall in a short period of time, have been increasingly causing flooding damages. To prevent damage caused by localized heavy rainfalls, Hydrological Quantitative Precipitation Forecast (HQPF) was developed using the Local ENsemble prediction System (LENS) provided by the Korea Meteorological Administration (KMA) and Machine Learning and Probability Matching (PM) techniques using Digital forecast data. HQPF is produced as information on the impact of heavy rainfall to prepare for flooding damage caused by localized heavy rainfalls, but there is a tendency to overestimate the low rainfall intensity. In this study, we improved HQPF by expanding the period of machine learning data, analyzing ensemble techniques, and changing the process of Probability Matching (PM) techniques to improve predictive accuracy and over-predictive propensity of HQPF. In order to evaluate the predictive performance of the improved HQPF, we performed the predictive performance verification on heavy rainfall cases caused by the Changma front from August 27, 2021 to September 3, 2021. We found that the improved HQPF showed a significantly improved prediction accuracy for rainfall below 10 mm, as well as the over-prediction tendency, such as predicting the likelihood of occurrence and rainfall area similar to observation.

• Korean Security Journal
• /
• no.23
• /
• pp.65-86
• /
• 2010

The conclusion for this paper is as following as to plan for advancing security. First, Depending on situation, security martial arts technique is necessary in security work, but the case that the client need to be covered by security guards to avoid the danger often happens. If there is no self-sacrifice and loyalty to the clients, the meaningful security work is not completed in this situation. Therefore, the basic views on education of security leaders need to be defensive than aggressive, and be spirit-equipped than technical feature. Second, more time has to be taken training mentality along with focusing on technical education of security martial arts. To escape from danger spreaded around, security guards must be strong mentally and physically, then they are able to finish the situation. If someone is chosen as a security guard, one's physical strength is already approved. This means that the rest part for the perfect accomplishment is strict discipline on mental one's mind, and basically physical training has to be continued. In conclusion, The elements that the instructor has to acquire are not only extensive theoretical knowledge of the security martial arts and real experiences through techniques but also personality cultivation which maximize the morality training. Accordingly, this could bring the client personally change in perception of the security guard, furthermore greatly expand the academic and professional security work of security department.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.15 no.4
• /
• pp.25-31
• /
• 2015

FinTech(Financial Technology) is defined as the technique to create efficient financial services using IT technologies. FinTech is an innovative technology through IT platform and big data, and is expected to improve the security and problems of the conventional banking system. Domestic financial institutions has introduced the technologies and investment in order to provide safe and effective services to users. However, In the financial environment, information disclosure and security incident has occurred so they has lost the trust from their customers. Moreover new variant of the security threats and attack techniques have occurred. Therefore, in this paper, we designed a authentication scheme for secure payment system in FinTech environment. The proposed study evaluated the stability of the existing security systems with respect to attack methods occurred in the financial environment.

• Smart Structures and Systems
• /
• v.18 no.6
• /
• pp.1169-1188
• /
• 2016

Real-time substructuring techniques are currently an advanced experimental method for testing large size specimens in the laboratory. In dynamic substructuring, the whole tested system is split into two linked parts, the part of particular interest or nonlinearity, which is tested physically, and the remanding part which is tested numerically. To achieve near-perfect synchronization of the interface response between the physical specimen and the numerical model, a good controller is needed to compensate for transfer system dynamics, nonlinearities, uncertainties and time-varying parameters within the physical substructures. This paper presents the substructuring approach and control performance of the linear and the adaptive controllers for testing the dynamic characteristics of soil-structure-interaction system (SSI). This is difficult to emulate as an entire system in the laboratory because of the size and power supply limitations of the experimental facilities. A modified linear substructuring controller (MLSC) is proposed to replace the linear substructuring controller (LSC).The MLSC doesn't require the accurate mathematical model of the physical structure that is required by the LSC. The effects of parameter identification errors of physical structure and the shaking table on the control performance of the MLSC are analysed. An adaptive controller was designed to compensate for the errors from the simplification of the physical model in the MLSC, and from parameter identification errors. Comparative simulation and experimental tests were then performed to evaluate the performance of the MLSC and the adaptive controller.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.16 no.6
• /
• pp.83-94
• /
• 2016

Recent cloud, big data, there is a problem for the architectural security vulnerability to the server platforms of various fields such as artificial intelligence occurs consistently, but using the virtualization technology. In addition, most secure virtualization technology is known to be dependent on the type is limited and the platform provider. This paper presents a method for mutual authentication for secure data between multiple instances of a shared virtualized environment. The proposed method was designing a security architecture in consideration of the mutual authentication between multiple independent instances, and enhance the safety of a security protocol for sharing data by applying a key chain techniques. Performance analysis results and the existing security architecture demonstrated that protect each virtualized instances of the session and the other way, a compliance effectiveness for each instance of the mutual authentication process.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.25 no.6
• /
• pp.1477-1484
• /
• 2015

With the growth of financial industry with smartphone, interest on user authentication using smartphone has been arisen in these days. There are various type of biometric user authentication techniques, but gait recognition using accelerometer sensor in smartphone does not seem to develop remarkably. This paper suggests the method of user authentication using accelerometer sensor embedded in smartphone. Specifically, calibrate the sensor data from smartphone with 3D-transformation, extract features from transformed data and do principle component analysis, and learn model with using gaussian mixture model. Next, authenticate user data with confidence interval of GMM model. As result, proposed method is capable of user authentication with accelerometer sensor on smartphone as a high degree of accuracy(about 96%) even in the situation that environment control and limitation are minimum on the research.

• Convergence Security Journal
• /
• v.4 no.2
• /
• pp.27-34
• /
• 2004

The recent explosive use of the Internet and the development of computer communication technologies reveal serious computer security problem. Inspite of many studies on secure access to the system, generally, the attackers do not use the previous intrusion techniques or network flaw, rather they tend to use the vulnerabilities residing inside the program, which are the running programs on the system or the processes for the service. Therefore, the security managers must focus on updating the programs with lots of time and efforts. Developers also need to patch continuously to update the Program, which is a lot of burden for them. In order to solve the problem, we need to understand the vulnerabilities in the program, which has been studied for some time. And also we need to analyze the functions that contains some vulnerabilities inside. In this paper, we first analyzed the vulnerabilities of the standard C library, and Win32 API functions used in various programs. And then we described the design and implementation of the automated scanning tool for writing secure source code based on the analysis.