• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.15 no.5
• /
• pp.1066-1072
• /
• 2011

In the method to analyze the relationship in the system call orders, the normal system call orders are divided into a certain size of system call orders to generates gene and use them as the detectors. In the method to consider the system call parameters, the mean and standard deviation of the parameter lengths are used as the detectors. The attack of which system call order is normal but the parameter values are changed, such as the format string attack, cannot be detected by the method that considers only the system call orders, whereas the model that considers only the system call parameters has the drawback of high positive defect rate because of the information obtained from the interval where the attack has not been initiated, since the parameters are considered individually. To solve these problems, it is necessary to develop a more efficient learning and detecting method that groups the continuous system call orders and parameters as the approach that considers various characteristics of system call related to attacking simultaneously. In this article, we detected the anomaly of the system call orders and parameters by applying the temporal concept to the system call orders and parameters in order to improve the rate of positive defect, that is, the misjudgment of anomaly as normality. The result of the experiment where the DARPA data set was employed showed that the proposed method improved the positive defect rate by 13% in the system call order model where time was considered in comparison with that of the model where time was not considered.

• Proceedings of the Korean Information Science Society Conference
• /
• 2003.04a
• /
• pp.278-280
• /
• 2003

NIDS 구조의 근본적인 결함을 이용하는 공격기법과 또한 우회하는 공격기법이 많이 개발되고있다. 이러한 NIDS에 대한 공격기법의 해결로 HIDS가 사용 될 수 있으나 HIDS 또한 서비스 하는 시스템 자체 내에 탑재하기 때문에 시스템에 많은 부하를 준다. 따라서 NIDS의 많은 장점들을 유지하면서도 NIDS의 한계를 극복하고 HIDS로써 시스템에 많은 과부하를 주지 않는 새로운HIDS 모델을 제시한다. 제안된 HIDS는 특성상 모든 곳에서의 접속을 허용하므로 보안이 취약한 Web 서버의 보안 강화를 목적으로 설계되었다. 또한, Web 서버는 Web Service라는 특정 목적만을 위해 운영되기 때문에 HIDS를 설치하더라도 Web 공격에 대해서만 고려함으로써 HIDS의 부하를 상당히 줄일 수 있다. 본 논문에서 제안하는 HIDS는 Linux 운영체제의 Kernel에서 TCP Stream을 추출하여 이를 감사 자료로써 사용하여 침입탐지를 한다.

• Journal of Convergence for Information Technology
• /
• v.9 no.3
• /
• pp.134-139
• /
• 2019

As the development of modern society progresses rapidly, the technologies of society as a whole are progressing and becoming more advanced. Especially in the field of security, more sophisticated and intelligent attacks are being created. Meanwhile, damaging situations are becoming several times larger than before Therefore, it is necessary to re-classify and enhance the existing classification system. It is required to minimize the intrusion damage by actively responding to intelligent intrusions by applying this classification scheme to currently operating intrusion detection systems. In this paper, we analyze the intrusion type caused by intelligent attack We propose a new classification scheme for intrusion situations to guarantee the service safety, reliability, and availability of the target system, We use this classification model to lay the foundations for the design and implementation of a smart intrusion cognitive system capable of early detection of intrusion, the damages caused by intrusion, and more collections active response.

• The KIPS Transactions:PartC
• /
• v.12C no.6 s.102
• /
• pp.817-826
• /
• 2005

BcN(Broadband convergence Network) is being developed in order to support a variety of network applications, with enhanced capabilities of QoS(Quality of Service) provisioning and security, and IPv6. In a high-speed network environment such as BcN, it if more likely for the network resources to be exposed to various intrusion activities. The propagation speed of intrusion is alto expected to be much faster than in the existing Internet In this paper, we present a multi-domain security management framework which my be used for a global intrusion detection at multiple domains of BcN and describe its characteristics. For the performance evaluation, we first present test results for the security node and compare with other products. Then we design and Implement an OPNET simulator for the proposed framework, and present some simulation results. In the simulation model, we focus on the performance of alert information in the security overlay network.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2007.05a
• /
• pp.1110-1112
• /
• 2007

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 내부 정보 유출 취약점을 분석하고 이에 대한 대책으로서 새로운 정보보호 모델을 제안하며, 제안된 정보보호 모델을 구현하는 한 방법으로서 DRM 기술을 적용한 정보보호 기술구조를 제안한다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2024.05a
• /
• pp.362-363
• /
• 2024

최근 자동차의 네트워크화와 연결성이 증가함에 따라, CAN(Controller Area Network) bus 의 설계상 취약점이 보안 위협으로 대두되고 있다. 이에 대응하여 CAN bus 의 취약점을 극복하고 보안을 강화하기 위해 머신러닝을 활용한 침입 탐지 시스템에 대한 연구가 필요하다. 본 논문은 XGBoost 를 활용한 비정상 분류 방법론을 제안한다. 고려대학교 해킹 대응 기술 연구실에서 개발한 데이터 세트를 기반으로 실험을 수행한 결과, 초기 모델의 정확도는 96%였다. 그러나 추가적으로 TimeDiff(발생 간격)과 DataDiff(바이트의 차분 값)을 모델에 통합하면서 정확도가 3% 상승하였다. 본 논문은 향후에 보다 정교한 머신러닝 알고리즘과 데이터 전처리 기법을 적용하여 세밀한 모델을 개발하고, 업체의 CAN Database 를 활용하여 데이터 분석을 보다 정확하게 수행할 계획이다. 이를 통해 보다 신뢰성 높은 자동차 네트워크 보안 시스템을 구축할 수 있을 것으로 기대된다.

• Journal of IKEEE
• /
• v.27 no.4
• /
• pp.531-536
• /
• 2023

This paper proposes a sliding window method with frame feature insertion for immediate attack detection on in-vehicle networks. This method guarantees real-time attack detection by labeling based on the attack status of the current frame. Experiments show that the proposed method improves detection performance by giving more weight to the current frame in CNN computation. The proposed model was designed based on a lightweight LeNet-5 architecture and it achieves 100% detection for DoS attacks. Additionally, by comparing the complexity with conventional models, the proposed model has been proven to be more suitable for resource-constrained devices like ECUs.

• The KIPS Transactions:PartC
• /
• v.12C no.6 s.102
• /
• pp.855-864
• /
• 2005

In this paper, we propose an intrusion detection system(IDS) architecture which can detect and respond against the generation of abnormal traffic such as malicious code and Internet worms. We model the system, design and implement a simulator using OPNET Modeller, for the performance analysis on the response capacity of alert information in the proposed system. At first, we model the arrival process of alert information resulted from abnormal traffic. In order to model the situation in which alert information is intensively produced, we apply the IBP(Interrupted Bernoulli Process) which may represent well the burstiness of traffic. Then we perform the simulation in order to gain some quantitative understanding of the system for our performance parameters. Based on the results of the performance analysis, we analyze factors which may hinder in accelerating the speed of security node, and would like to present some methods to enhance performance.

• The Transactions of the Korea Information Processing Society
• /
• v.6 no.11
• /
• pp.3001-3010
• /
• 1999

The most of intrusion detection methods do not detect intrusion on real-time because it takes a long time to analyze an auditing data for intrusions. To solve the problem, we are studying a real-time intrusion detection. Therefore, this paper proposes an agent model using multi warning level for real-time intrusion detection. It applies to distributed environment using an extensibility and communication mechanism among agents, supports a portability, an extensibility and a confidentiality of IDS.

• Journal of the Korean Society for Aviation and Aeronautics
• /
• v.25 no.4
• /
• pp.83-90
• /
• 2017

Unmanned Aerial Vehicles(UAVs) require collision avoidance capabilities equivalent to the capabilities of manned aircraft to enter the airspace of manned aircraft. In the case of Visual Flight Rules of manned aircraft, collision avoidance is performed by 'See-and-Avoid' of pilots. To obtain those capabilities of UAVs named as 'Sense-and-Avoid', sensor-system-based intruder tracking and collision avoidance methods are required. In this study, a multi-sensor-based tracking, data fusion, and collision avoidance algorithm is designed by using a model-based design tool MATLAB/SIMULINK, and validations of the designed model and code using numerical simulations and processor-in-the-loop simulations are performed.