• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.7C
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• pp.971-984
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• 2004

In the coming age of information warfare, information security patterns need to be changed such as to the active approach using offensive security mechanisms rather than traditional passive approach just protecting the intrusions. In an active security environment, it is essential that, when detecting an intrusion, the immediate confrontation such as analysing the intrusion situation in realtime, protecting information from the attacks, and even tracing the intruder. This paper presents an active intrusion-confronting system using a fake session and a honeypot. Through the fake session, the attacks like Dos(Denial of Service) and port scan can be intercepted. By monitoring honeypot system, in which the intruders are migrated from the protected system and an intrusion rule manager is being activated, new intrusion rules are created and activated for confronting the next intrusions.

• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.8
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• pp.891-900
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• 2015

Cloud Computing has recently begun to emerge as a new attack target. The malice DDoS attacks are ongoing to delay and disturb the various services of the Cloud Computing. In this paper, we propose the Hornet-Cloud using security Honeypot technique and resources of Cloud Computing, and design the concept of active-interaction and security functions of Hornet-Cloud simply.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.05c
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• pp.1941-1944
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• 2003

인터넷이 생활의 한 부분이 되면서 인터넷 사용자가 급증함에 따라 각종 사이버 범죄의 발생 건수 역시 크게 증가하고 있다 이러한 각종 사이버 범죄에 대응함에 있어서 가장 심각한 문제 중의 하나는 해커가 어떤 기술을 이용하여, 어떠한 방식으로 해킹을 진행하는지에 대한 정보가 매우 부족하다는 것이다. 현재 해커들은 해킹에 성공하기 위해 고도의 해킹 기법과 새로운 취약점을 이용하고 있는 반면, 해킹 방지를 위해 사용되고 있는 보안 강화 시스템들은 새로운 방식을 이용하는 해킹 시도를 효율적으로 방어하지 못하고 있는 것이 현실이다. 이와 같은 문제점을 해결하기 위해 제안된 것이 해커의 행동 양식에 대한 정보를 얻기 위한 침입유도 시스템(Honeypot)이다. 그러나 기존의 침입유도 시스템은 해커의 행동 양식 파악에 전문적인 기술이 필요하여 실시간 정보분석이 용이하지 못했다. 이에 본 논문에서는 해커의 행동양식을 실시간으로 파악하고 분석하는 허니넷(Honeynet) 형태의 침입자 행동양식 파악 시스템(Honeypot)을 설계하고 개발하였다.

• International Journal of Computer Science & Network Security
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• v.21 no.1
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• pp.162-173
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• 2021

The Honeypot is the mechanism that is made to learn more about the attackers like knowing about the method and pattern of attack and is also used to obtain very useful info about all intrusive activities. Honeypots usually categorized according to the interaction's level as (high, medium, low) interaction. The main purpose which is used as honey production and honey research. This paper includes a detailed study of two honeypot tools. The different honey pot findings are put in in this paper to illustrate how honey is working in a real environment and even how it reacts when undesirable interest obtain in this network, and these tools are used to improve the concept of security, protection and confidentiality within or outside the organization to avoid attacks, vulnerabilities and breaches.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.397-400
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• 2020

SDN(Software Defined Networking)은 효율적인 방법과 저렴한 비용으로 네트워크를 직접 프로그램 하여 즉각적인 제어를 할 수 있다. 본 논문에서는 SDN 의 특성을 활용, SDN 구성요소인 컨트롤러와 스위치를 활용하여 공격 정보를 수집하고 이를 기반으로 공격을 탐지하는 위협 레벨 관리 모듈, 공격 탐지 모듈, 패킷 통계 모듈 등을 설계하여 프로그래밍하고 허니팟을 적용하여 서비스 거부(DoS, Denial of Services)공격을 차단하는 방법을 제시한다.

• The Journal of the Korea institute of electronic communication sciences
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• v.5 no.4
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• pp.406-411
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• 2010

A honeynet is a closely monitored computing resource that we want to be probed, attacked or compromised. More precisely, a honeypot is "an information system resource whose value lies in unauthorized or illicit use of that resource The value of honeynet is weighed by the information that can be obtained from it. but It's very difficult to deploy Honeynet in Real World, So I focused on Virtual Honeynet. The strength of virtual honeynet is scalability and ease of maintenance. It is inexpensive to deploy and accessible to almost everyone. Compared with physical honeypots, this approach is more lightweight. Instead of deploying a physical computer system that acts as a honeypot, we can also deploy one physical computer that hosts several virtual machines that act as honeypots.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.9
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• pp.4512-4526
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• 2018

The Internet of Things (IoT) has become an emerging industry that is broadly used in many fields from industrial and agricultural manufacturing to home automation and hospitality industry. Because of the sheer number of connected devices transmitting valuable data, the IoT infrastructures have become a main target for cyber-criminals. One of the key challenges in protecting IoT devices is the lack of security measures by design. Although there are many hardware and software based security solutions (firewalls, honeypots, IPDS, anti-virus etc.) for information systems, most of these solutions cannot be applied to IoT devices because of the fact that IoT devices have limited computing resources (CPU, RAM,). In this paper, we propose a honeypot system called HoneyThing for modem/router devices (i.e. a kind of IoT device). HoneyThing emulates TR-069 protocol which is prevalent protocol used to remotely manage customer-premises equipment (CPE) devices, e.g. modems, routers. Honeything also serves an embedded web server simulating a few actual, critical vulnerabilities associated with the implementation of TR-069 protocol. To show effectiveness of the HoneyThing in capturing real world attacks, we have deployed it in the Internet. The obtained results are highly promising and facilitate to reveal network attacks targeting to CPE devices.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.05a
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• pp.1093-1095
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• 2007

As the networking and data communication technology is making progress, there has been an augmented concern about the security. Intrusion Detection and Prevention Systems have long being providing a reliable layer in the field of Network Security. Intrusion Detection System works on analyzing the traffic and finding a known intrusion or attack pattern in that traffic. But as the new technology provides betterment for the world of the Internet; it also provides new and efficient ways for hacker to intrude in the system. Hence, these patterns on which IDS & IPS work need to be updated. For detecting the power and knowledge of attackers we sometimes make use of Honey-pots. In this paper, we propose a Honey-pot architecture that automatically updates the Intrusion's Signature Knowledge Base of the IDS in a Network.

• ETRI Journal
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• v.42 no.6
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• pp.965-975
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• 2020

This paper proposes a new framework for the development and deployment of honeypots for evolving malware threats. As new technological concepts appear and evolve, attack surfaces are exploited. Internet of things significantly increases the attack surface available to malware developers. Previously independent devices are becoming accessible through new hardware and software attack vectors, and the existing taxonomies governing the development and deployment of honeypots are inadequate for evolving malicious programs and their variants. Malware-propagation and compromise methods are highly automated and repetitious. These automated and repetitive characteristics can be exploited by using embedded reinforcement learning within a honeypot. A honeypot for automated and repetitive malware (HARM) can be adaptive so that the best responses may be learnt during its interaction with attack sequences. HARM deployments can be agile through periodic policy evaluation to optimize redeployment. The necessary enhancements for adaptive, agile honeypots require a new development and deployment framework.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.12
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• pp.1003-1007
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• 2009

Client-side attacks including drive-by download target vulnerabilities in client applications that interact with a malicious server or process malicious data. A typical client-side attack is web-based one related to a malicious web page exploiting specific browser vulnerability that can execute mal ware on the client system (PC) or give complete control of it to the malicious server. To defend those attacks, this paper has constructed high interaction client honeypot system using Capture-HPC that adopts execution-based detection in virtual machine. We have detected and classified malicious web pages using the system. We have also analyzed the system's performance in terms of the number of virtual machine images and the number of browsers executed simultaneously in each virtual machine. Experimental results show that the system with one virtual machine image obtains better performance with less reverting overhead. The system also shows good performance when the number of browsers executed simultaneously in a virtual machine is 50.