• Proceedings of the Korean Information Science Society Conference
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• 2007.06d
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• pp.7-10
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• 2007

최근 정보화 수준이 고도화 되고 대외 기술 교류가 활발해짐에 따라 기업 정보 유출에 의한 피해 사례가 급증하고 있고, 자료 유출 사례 중 전 현직 종사원인 내부자에 의해 발생되는 건이 80%이상을 차지하고 있어 내부정보 유출 방지체계에 대한 구축이 절실히 요구되고 있다. 내부 정보 유출 방지체계는 침입탐지시스템이나 방화벽 같은 외부 공격자에 대한 방어 대책으로는 한계가 있어 새로운 정보보호 체계가 필요하다. 본 논문은 내부정보 유통 구조에 내재되어 있는 내부정보 유출 취약점을 분석하고 이에 대한 대책으로서 정보보호 모델을 제안하며, 제안된 정보보호 모델을 구현하는 한 방법으로서 DRM 기술을 적용한 정보보호 기술구조를 제안하고 구현 시 고려사항을 기술한다. 제안된 기술구조는 조직에서 운용하고 있는 정보체계와 정보기기들을 관리영역으로 식별하는 방법을 제공하며 관리영역에서 비 관리영역으로의 자료 유통을 근본적으로 통제하는 장점을 갖고 있다.

• 한국IT서비스학회:학술대회논문집
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• 2009.11a
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• pp.544-548
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• 2009

The underlying success of logistics depends on the flow of data and information for effective management. Over the last 30 years, we have seen the power of microprocessors double about every 18months. This continuing trend means that computers will become considerably smaller, cheaper, and more abundant; indeed, they are becoming ubiquitous and are even finding their way into everyday objects, resulting in the creation of smart things. In the long term, ubiquitous technologies will take on great economic significance. Industrial products will become smart because of their integrated information processing capacity, or take on an electronic identity that can be queried remotely, or be equipped with sensors for detecting their environment, enabling the development of innovative products and totally new services. The global marketplace runs on logistics, security, speed, agility and flexibility..In this paper we report that pairing these traditional logistics functions with RFID technology can be a huge value-driver for companies. This winning combination yields increased logistics management effectiveness and more efficient visibility into the supply chain management.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.359-360
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• 2019

본 논문에서는 2018년에 성횡한 악성코드에 대한 피해 사례를 살펴본 후 이를 적극적으로 대응하기 위한 방안을 살펴본다. 특히 가상통화 거래소에 대한 해킹 사고 및 가상화폐에 대한 지속적인 해킹 시도가 탐지되면서 관련 소식들이 언론에 지속적으로 보도되었다. 또한 이와 관련하여 PC 및 서버 자원을 몰래 훔쳐 가상통화 채굴에 사용하는 크립토재킹 공격기법도 함께 주목받았다. 랜섬웨어 부문은 갠드크랩 관련 보도가 대부분을 차지할 정도로 국내에서 지속적으로 이슈가 되었다. 또한 미국 법무부에서 최초로 북한 해커조직의 일원을 재판에 넘기면서 해커 그룹에 대한 관심이 집중되기도 했다. 2018년 전반적으로 이러한 가상통화 거래소 해킹, 크립토재킹, 랜섬웨어, 해커 그룹의 4가지 키워드를 도출하였으며, 이 중 해커 그룹은 북한과 중국의 경우를 나누어 총 5가지 주제를 통해 악성코드에 대한 주요 이슈들을 살펴본다. 본 논문에서는 이러한 악성코드의 공격을 근본적으로 해결할 수 있는 방안으로 클라이언트 측에 USB형태의 BBS(Big Bad Stick) 하드웨어를 통하여 제안하는 환경을 제안하고 안전한 서비스가 제공됨을 증명하여 본 연구가 새로운 보안성을 갖춘 시스템임을 보인다.

• Convergence Security Journal
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• v.16 no.7
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• pp.21-29
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• 2016

Our society is currently exposed to environment of various information that is exchanged real time through networks. Especially regarding medical policy, the government rushes to practice remote medical treatment to improve the quality of medical services for citizens. The remote medical practice requires establishment of medical information based on big data for customized treatment regardless of where patients are. This study suggests establishment of regional medical cluster along with defense and protection cooperation models that in case service availability is harmed, and attacks occur, the attacks can be detected, and proper measures can be taken. For this, the study suggested forming networks with nationwide local government hospitals as regional virtual medical cluster bases by the same medical information system. The study also designed a mutual cooperation security model that can real time cope with IP Spoofing attack that can occur in the medical cluster and DDoS attacks accordingly, so that the limit that sole system and sole security policy have can be overcome.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.13 no.1
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• pp.19-26
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• 2003

Recently, the number of internet service companies is increasing and so is the number of malicious attackers. Damage such as distrust about credit and instability of the service by these attacks may influence us fatally as it makes companies image failing down. One of the frequent and fatal attacks is DoS(Denial-of-Service). Because the attacker performs IP spoofing for hiding his location in DoS attack it is hard to get an exact location of the attacker from source IP address only. and even if the system recovers from the attack successfully, if attack origin has not been identified, we have to consider the possibility that there may be another attack again in near future by the same attacker. This study suggests to find the attack origin through MAC address marking of the attack origin. It is based on an IP trace algorithm, called Marking Algorithm. It modifies the Martins Algorithm so that we can convey the MAC address of the intervening routers, and as a result it can trace the exact IP address of the original attacker. To improve the detection time, our algorithm also contains a technique to improve the packet arrival rate. By adjusting marking probability according to the distance from the packet origin we were able to decrease the number of needed packets to traceback the IP address.

• The Journal of the Korea institute of electronic communication sciences
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• v.5 no.6
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• pp.625-630
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• 2010

With regard to the examples of establishing various sorts of information security, it can be seen that there are gradual, developmental procedures including Firewall and VPN (Virtual Private Network), IDS (Intrusion Detection System), or ESM(Enterprise Security Management). Each of the security solutions and equipments analyzes both defense and attack for information security with the criteria of classifying the problems of security policies by TCP/IP layers or resulted from attack patterns, attack types, or invasion through specialized security technology. The direction of this study is to examine latency time vulnerable to invasion which occurs when L2-stratum or lower grade equipments or policies are applied to the existing network through TCP/IP layer's L3-stratum or higher grade security policies or equipments and analyze security holes which may generate due to the IP preoccupation in the process of establishing policies to limit particular IP area regarding the policies for security equipments to figure out technological problems lying in it.

• Journal of Internet Computing and Services
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• v.23 no.6
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• pp.39-48
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• 2022

Cyberattacks around the world continue to increase, and their damage extends beyond government facilities and affects civilians. These issues emphasized the importance of developing a system that can identify and detect cyber anomalies early. As above, in order to effectively identify cyber anomalies, several studies have been conducted to learn BGP (Border Gateway Protocol) data through a machine learning model and identify them as anomalies. However, BGP data is unbalanced data in which abnormal data is less than normal data. This causes the model to have a learning biased result, reducing the reliability of the result. In addition, there is a limit in that security personnel cannot recognize the cyber situation as a typical result of machine learning in an actual cyber situation. Therefore, in this paper, we investigate BGP (Border Gateway Protocol) that keeps network records around the world and solve the problem of unbalanced data by using SMOTE. After that, assuming a cyber range situation, an autoencoder classifies cyber anomalies and visualizes the classified data. By learning the pattern of normal data, the performance of classifying abnormal data with 92.4% accuracy was derived, and the auxiliary index also showed 90% performance, ensuring reliability of the results. In addition, it is expected to be able to effectively defend against cyber attacks because it is possible to effectively recognize the situation by visualizing the congested cyber space.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.6
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• pp.1385-1397
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• 2015

The Proxy DLL is a mechanism using a normal characteristics of Windows. Specific malware is executed via this mechanism after intrusion into a system which is targeted. If a intrusion of malware is successful, malware should be executed at least once. For execution, malware is disguised as a Windows Library. The malware of Winnti group is a good case for this. Winnti is a group of Chinese hacking groups identified by research in the fall of 2011 at Kaspersky Lab. Winnti group activities was negatively over the years to target the online video game industry, in this process by making a number of malware infected the online gaming company. In this paper, we perform research on detection techniques of Proxy DLL malware which is disguised as a Windows library through Winnti group case. The experiments that are undertaken to target real malware of Winnti show reliability of detection techniques.