• Journal of the Korea Institute of Information Security & Cryptology
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• v.27 no.6
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• pp.1467-1482
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• 2017

Recently, Interests on The Fourth Industrial Revolution has been increased. In the manufacturing sector, the introduction of Smart Factory, which automates and intelligent all stages of manufacturing based on Cyber Physical System (CPS) technology, is spreading. The complexity and uncertainty of smart factories are likely to cause unexpected problems, which can lead to manufacturing process interruptions, malfunctions, and leakage of important information to the enterprise. It is emphasized that there is a need to perform systematic management by analyzing the threats to the Smart Factory. Therefore, this paper systematically identifies the threats using the STRIDE threat modeling technique using the data flow diagram of the overall production process procedure of Smart Factory. Then, using the Attack Tree, we analyze the risks and ultimately derive a checklist. The checklist provides quantitative data that can be used for future safety verification and security guideline production of Smart Factory.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.3
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• pp.659-666
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• 2012

Recently, cloud computing service has become a rising issue in terms of utilizing sources more efficiently and saving costs. However, the service still has some limitations to be popularized because it lacks the verification towards security safety. In particular, the possibility to induce Denial of service is increasing as it is used as Zombie PC with exposure to security weakness of Guest OS's. This paper suggests how cloud system, which is implemented by Xen, detects intrusion caused by Denial of service using hypercall. Through the experiment, the method suggested by K-means and EM shows that two data, collected for 2 mins, 5 mins, 10mins and 20mins each, are distinguished 90% when collected for 2mins and 5mins while collected over 10mins are distinguished 100% successfully.

• Convergence Security Journal
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• v.19 no.3
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• pp.51-59
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• 2019

In this paper, we propose a device identification system for network visibility that can maintain the secure internal network environment in the IoT era. Recently, the area of enterprise network is getting huge and more complicated. Not only desktops and smartphones but also business pads, barcode scanners, APs, Video Surveillance, digital doors, security devices, and lots of Internet of Things (IoT) devices are rapidly pouring into the business network, and there are highly risk of security threats. Therefore, in this paper, we propose the device identification system that includes the process and module-specific functions to identify the exploding device in the IoT era. The proposed system provides in-depth visibility of the devices and their own vulnerabilities to the IT manager in company. These information help to mitigate the risk of the potential cyber security threats in the internal network and offer the unified security management against the business risks.

• International Commerce and Information Review
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• v.9 no.3
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• pp.305-320
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• 2007

With expanded use of B2B(between enterprises), B2G(between enterprises and government) and EDI(Electronic Data Interchange), and increased amount of available network information and information protection threat, as it was judged that security can not be perfectly assured only with security technology such as electronic signature/authorization and access control, Bayesian networks have been developed for protection of information. Therefore, this study speculates Bayesian networks system, centering on ERP(Enterprise Resource Planning). The Bayesian networks system is one of the methods to resolve uncertainty in electronic data interchange and is applied to overcome uncertainty of abnormal invasion detection in ERP. Bayesian networks are applied to construct profiling for system call and network data, and simulate against abnormal invasion detection. The host-based abnormal invasion detection system in electronic trade analyses system call, applies Bayesian probability values, and constructs normal behavior profile to detect abnormal behaviors. This study assumes before and after of delivery behavior of the electronic document through Bayesian probability value and expresses before and after of the delivery behavior or events based on Bayesian networks. Therefore, profiling process using Bayesian networks can be applied for abnormal invasion detection based on host and network. In respect to transmission and reception of electronic documents, we need further studies on standards that classify abnormal invasion of various patterns in ERP and evaluate them by Bayesian probability values, and on classification of B2B invasion pattern genealogy to effectively detect deformed abnormal invasion patterns.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.1
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• pp.241-248
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• 2018

A Recommender System (RS) is a system that provides optimized information to users in an over-supply situation. The key to RS is to accurately predict the behavior of the user. The Matrix Factorization (MF) method was used for this prediction in the early stage, and according to the recent SNS development, social information is additionally utilized to improve prediction accuracy. In this paper, we use RS internal trust cluster, which was overlooked in previous studies, to further improve performance and analyze the characteristics of trust clusters.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.11 no.1
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• pp.3-12
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• 2001

In this paper, a synchronized stream encryption system for secure link layer communication in a radio channel is designed. Interleaving scheme which is used to enhance the transmission performance over a fading channel is applied to the encrypted information. A designed synchronous scream cipher system consists of a keystream generator, a synchronization pattern generator and a session key generator. The structure of a synchronous stream cipher system with periodic synchronization is composed of the encrypted information which consists of a synchronization pattern, an error correcting coded session key, an encrypted data in a period of synchronization. In this paper, interleaving scheme using dynamic allocation a1gorithm(DAA) is applied the encrypted information. The BER of the DAA has been slightly higher than that of the SAA(static allocation algorithm).

• Journal of Multimedia Information System
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• v.9 no.1
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• pp.11-20
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• 2022

In this paper, we have recently created self-driving cars and self-parking systems in human-friendly cars that can provide high safety and high convenience functions by recognizing the internal and external situations of automobiles in real time by incorporating next-generation electronics, information communication, and function control technologies. And with the development of connected cars, the ITS (Intelligent Transportation Systems) market is expected to grow rapidly. Intelligent Transportation System (ITS) is an intelligent transportation system that incorporates technologies such as electronics, information, communication, and control into the transportation system, and aims to implement a next-generation transportation system suitable for the information society. By combining the technologies of connected cars and Internet of Things with software features and operating systems, future cars will serve as a service platform to connect the surrounding infrastructure on their own. This study creates a research methodology based on the Enhanced Security Model in Self-Driving Cars model. As for the types of attacks, Availability Attack, Man in the Middle Attack, Imperial Password Use, and Use Inclusive Access Control attack defense methodology are used. Along with the commercialization of 5G, various service models using advanced technologies such as autonomous vehicles, traffic information sharing systems using IoT, and AI-based mobility services are also appearing, and the growth of smart transportation is accelerating. Therefore, research was conducted to defend against hacking based on vulnerabilities of smart cars based on artificial intelligence blockchain.

• Annual Conference of KIPS
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• 2007.11a
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• pp.1270-1273
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• 2007

최근 인터넷의 급속한 발달은 온라인 뱅킹, 인터넷 쇼핑몰 등에서의 실물 경제행위를 온라인상으로 처리할 수 있는 환경을 제공하지만 온라인상의 업무처리는 개인정보유출, 개인정보의 위조 및 변조 등의 문제를 가지고 있다. 사용자가 CA에게서 받은 인증서의 공개키로 전자서명 함으로써 개인정보유출, 정보의 위조 및 변조 등의 문제를 해결한 PKI(Public Key Infrastructure)기반의 인증서 검증시스템이 제안되어 사용되고 있다. 인증서 상태검증 방법에는 CRL(Certificate Revocation List)기반의 검증방식, OCSP(Online Certificate Status Protocol)기반의 검증방식 등이 있다. CRL기반의 인증서 검증방식은 인증서 취소목록을 검색해서 인증서의 유효성 여부를 응답하는 방식으로 시간이 지남에 따라 크기 증가와 오프라인 방식으로 인해서 목록을 다운받는 시간의 부담으로 인해서 OCSP방식이 제안되었다. 하지만 OCSP 방식 역시 서비스의 요청이 집중될 경우 문제가 발생될 수 있다. 그래서 분산된 OCSP를 구축하고 각 서버의 부하의 균형을 유지하기 위해 로드밸런싱 기법을 사용하고 있지만 그 방법 역시 지속적인 서비스 제공이 불가한 문제를 가지고 있다. 본 논문에서는 서비스 요청의 집중으로 인한 시스템 마비나 각 응답서버의 부하가 불균형적임으로써 생길 수 있는 문제를 해결할 수 있는 방법을 제안한다.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.67 no.1
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• pp.9-14
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• 2018

In this paper, we introduce an AES-based security chip for the embedded system of Internet of Things(IoT). We used Verilog HDL to implement the AES algorithm in FPGA. The designed AES module creates 128-bit cipher by encrypting 128-bit plain text and vice versa. RTL simulations are performed to verify the AES function and the theory is compared to the results. An FPGA emulation was also performed with 40 types of test sequences using two Altera DE0-Nano-SoC boards. To evaluate the performance of security algorithms, we compared them with AES implemented by software. The processing cycle per data unit of hardware implementation is 3.9 to 7.7 times faster than software implementation. However, there is a possibility that the processing speed grow slower due to the feature of the hardware design. This can be solved by using a pipelined scheme that divides the propagation delay time or by using an ASIC design method. In addition to the AES algorithm designed in this paper, various algorithms such as IPSec can be implemented in hardware. If hardware IP design is set in advance, future IoT applications will be able to improve security strength without time difficulties.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.2
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• pp.393-399
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• 2019

In a situation where an unauthorized SW brought into the organization without being authorized is emerging as a threat to the network security, the security of the network based on the SDN(Software-Defined Network) can be strengthened through the development of the security application considering the organization's characteristics. Security technology of existing SDN environment has been studied to protect internal network from external networks such as firewalls and Intrusion Detection Systems, but the research for resolving insider threat was insufficient. Therefore, We propose a system that protects the internal network from unauthorized SW, which is one of the insider threats in the SDN environment.