• Proceedings of the Korean Society of Computer Information Conference
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• 2015.01a
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• pp.55-58
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• 2015

무선 센서 네트워크는 개방된 환경에 단거리 무선 통신으로 정보를 수집하는 센서 노드와 이를 수집하는 베이스 스테이션으로 운영된다. 이러한 센서 네트워크의 특징으로 인해 공격자를 통해 쉽게 훼손될 수 있으며 대표적인 공격방법으로 싱크홀 공격이 있다. LEAP은 싱크홀 공격에 대응하기 위해 네 종류의 키를 사용하여 노드 간 인증을 하도록 제안되었다. 이 기법은 보안성을 유지하기 위해 주기적으로 베이스 스테이션까지의 경로를 갱신한다. 본 논문에서는, 내부 싱크홀 공격을 LEAP과 같은 키의 인증을 통하여 탐지하는 기법을 제안한다. 제안 기법은 이전 노드, 다음 노드와의 키 인증을 통해 공격을 탐지한다. 공격이 탐지되면 해당 노드를 네트워크에서 제외하고 경로를 갱신하며 갱신된 경로를 통해 새로운 키를 배포한다. 그러므로 제안 기법은 이전 노드, 다음 노드와의 키 인증을 통해 싱크홀 공격을 탐지함으로써 전체 네트워크 보안성 향상을 목적으로 한다.

• TTA Journal
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• s.175
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• pp.84-85
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• 2018

최근 싱크홀이 사건사고 뉴스의 단골손님으로 등장하고 있다. 갑자기 도로 무너져내려 길 가던 차 앞바퀴가 빠지는가 하면, 예고 없이 발밑이 푹 꺼지며 사람이 빨려 들어가듯 추락한다. 고층 건물이 통째로 삼켜지기도 한다. 눈에 보이지 않는 공간에서 갑작스레 만들어지는 싱크홀은 그야말로 공포의 대상이다.

• Journal of Convergence Society for SMB
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• v.6 no.4
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• pp.37-43
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• 2016

Sinkholes happen in increasingly higher frequency in downtown areas with a concentration of social infrastructure these days. Most sinkholes occur around the living areas of citizens, which calls for a systematic countermeasure plan for urban development and underground water management, which are parts of the main causes of sinkholes. This study thus set out to analyze the risk factors of sinkholes in the subject area by using geospatial information deeply connected to sinkholes both directly and indirectly. The geospatial information used in analysis was obtained by examining the causes of sinkholes from a topographical perspective. Collected data were treated and analyzed with a range of spatial analysis tools based on GIS. The findings show that topographical factors had significant relations with sinkhole causes and raise a need to manage all kinds of pipe networks underground, the movement characteristics of underground water levels, and other topographical features. The findings may serve as data to support decision-making processes in the field of urban disaster prevention and call for extensive research to incorporate hydro-geomorphology and spatial modeling.

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.9
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• pp.901-905
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• 2008

In this paper, we propose a detection scheme for sinkhole attacks in wireless sensor networks. Sinkhole attack makes packets that flow network pass through attacker. So, Sinkhole attack can be extended to various kind of attacks. We analyze sinkhole attack methods in the networks that use LQI based routing. For the purpose of response to each attack method, we propose methods to detect attacks. Our scheme can work for those sensor networks which use LQI based dynamic routing protocol. And we show the detection of sinkhole attack can be achieved by using a few detector nodes.

• Tunnel and Underground Space
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• v.14 no.6 s.53
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• pp.411-422
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• 2004

Sinkhole subsidence occurs over abandoned mine workings and can be detrimental to human lives, damage to properties and other surface structures. In this study, simulation of sinkhole development process is performed using special finite element procedure. Especially, creation of mine voids due to roof falls and generation of goaf from broken rocks are simulated using active-passive-active finite elements. An active or solid element can be made passive or void once the tensile failure criterion is satisfied in the specified sinkhole formation zone. Upon completion of sinkhole development process, these passive elements in again be made active to simulate goal region. Several finite element models are analyzed to evaluate the relationships between sinkhole formation with width of gallery. depth of mine, roof condition and bulking factor of roof rocks. This study demonstrates that the concept of passive elements in numerical analysis can be used effectively for analyzing sinkhole formation or roof fall phenomenon in general.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.1528-1531
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• 2011

최근 악성봇은 해커에 의해 원격 조정되어 명령에 의해 스팸메일 발송, DDoS 공격 등의 악성행위를 수행하는 웜/바이러스이다[2]. 악성봇은 이전의 웜/바이러스와 달리 금전적인 이득을 목적으로 하는 것이 많아 작게는 일상생활의 불편함으로부터 크게는 사회적, 국가적으로 악영향을 주고 있다. 국내에서는 이러한 위험을 방어하기 위한 효과적인 대응 방법으로 DNS 싱크홀을 운영 하고 있다. 본 논문에서는 DNS 싱크홀 운영 중 수집한 봇 명령/제어 (Command and Control, C&C) 도메인을 Internet Service Provider (ISP) DNS 싱크홀 시스템에 적용하는 과정에서 나타나는 문제점을 효과적으로 해결 하기 위한 DNS Response Policy Zone(RPZ)을 이용한 DNS 싱크홀 운영 방안을 제시 하였다.

• The Journal of Korean Institute of Information Technology
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• v.17 no.6
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• pp.17-25
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• 2019

Accurate tracking of the sinkholes that are appearing frequently now is an important method of protecting human and property damage. Although many sinkhole detection systems have been proposed, it is still far from completely solved especially in-depth area. Furthermore, detection of sinkhole algorithms experienced the problem of unstable result that makes the system difficult to fire a warning in real-time. In this paper, we proposed a method of sinkhole tracking by deep learning and data association, that takes advantage of the recent development of CNN transfer learning. Our system consists of three main parts which are binary segmentation, sinkhole classification, and sinkhole tracking. The experiment results show that the sinkhole can be tracked in real-time on the dataset. These achievements have proven that the proposed system is able to apply to the practical application.

• Journal of the Korean Institute of Intelligent Systems
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• v.26 no.4
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• pp.267-272
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• 2016

Wireless sensor networks (WSNs) are vulnerable to external intrusions due to the wireless communication characteristics and limited hardware resources. Thus, the attacker can cause sinkhole attack while intruding the network. INSENS is proposed for preventing the sinkhole attack. INSENS uses the three symmetric keys in order to prevent such sinkhole attacks. However, the sinkhole attack occurs again, even in the presence of INSENS, through the compromised node because INSENS does not consider the node being compromised. In this paper, we propose a method to counter the sinkhole attack by considering the compromised node, based on the neighboring nodes' information. The goals of the proposed method are i) network reliability improvement and ii) energy conservation through effective prevention of the sinkhole attack by detecting compromised nodes. The experimental results demonstrate that the proposed method can save up to, on average, 19.90% of energy while increasing up to, on average, 71.50%, the report reliability against internal sinkhole attacks in comparison to INSENS.

• Proceedings of the Korean Society of Computer Information Conference
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• 2015.01a
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• pp.77-80
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• 2015

무선통신을 기반으로 하는 WSN은 통신의 특성상 네트워크보안에 취약점을 가진다. 무선통신의 취약점은 누구나 네트워크에 접근이 가능하다는 것이다. 이에 따라 침입에 강인한 무선 센서 네트워크인 INtrusion-tolerant routing protocol for wireless SEnsor NetworkS(INSENS)가 제안됨으로써 WSN의 초기 라우팅 설정 시 침입하는 공격자를 사전에 차단할 수 있게 되었다. 그러나 라우팅 설정 후에 노드가 공격자에 의해 훼손당하게 된다면, 노드의 주요정보를 이용해 공격자는 또다시 라우팅 공격이 가능해진다. 본 논문에서는 공격자에 의해 훼손된 노드가 라우팅 공격 중 대표적인 공격인 싱크홀 공격 메시지를 방송하였을 때, 페어와이즈 키를 통해 효과적으로 공격메시지를 차단하는 양방향인증기법을 제안한다. 이로써 INSENS에서 발생하는 싱크홀 공격을 차단함으로써 WSN의 보안 강화에 기여한다.

• Korean Journal of Remote Sensing
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• v.33 no.3
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• pp.267-274
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• 2017

The purpose of this research was to develop and present methods to detect sinkholes which can exist underneath the surface of the ground. First, we buried a water tank with dimensions $1.8{\times}0.8{\times}0.8m$ at a distance of 1.8 m from the surface. This played the role of the sinkhole. Secondly, we created a square zone with sides 12 meters away from the buried water tank. Within this zone, we measured the gravity at 1-meter intervals using a Scintrex CG5 relative gravimeter with a resolution of 0.001 mGal. Additionally, we performed three-dimensional (3-D) gravity modeling to calculate the theoretical values of the relative gravity around our model sinkhole. The resulting values for the relative gravity around the sinkhole depended on the method used. The measured effect of gravity was 0.036 mGal and the effect calculated using 3-D modeling was 0.024 mGal. Our results suggest that sinkholes that are similar in size to the water tank used in this study can be detected using relative gravity surveys. Smaller sinkholes can be detected by reducing the intervals between the relative gravity measurements.