• 정보보호뉴스
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• s.136
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• pp.52-55
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• 2009

KISA 인터넷침해사고대응지원센터가 지난 1월 '2008년 침해사고 동향 및 2009년 전망'을 발표했다. 침해사고 동향을 분석하고 향후 등장할 위협을 예측하는 이 보고서는 국내외 정보보호 분야의 기술 지형을 한눈에 보여준다는 점에서 큰 의미를 지니고 있다. 웜 바이러스와 악성 봇 분야의 주요내용을 중심으로 2008년 침해사고 동향과 2009년을 전망해 본다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2006.05a
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• pp.749-753
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• 2006

Since the appearance of the first computer virus in 1986, a significant number of new viruses has appeared every year. Recently, there has been a marked increase in the number of mobile malicious code(virus, worm, trojan) in Mobile devices(smart phone, PDA). As a growing number of people use mobile device, we have to prepare for coming mobile attacks. In this paper, we study trends and characteristics of mobile malicious code. And, we describe considerations of on-device and network security in mobile environment.

• Journal of Korea Society of Industrial Information Systems
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• v.12 no.2
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• pp.30-36
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• 2007

The UPnP uses the same standard protocol as SSDP and UDP based on standard internet and technology like the TCP/IP, and is independent of other physical networking product. But the structure of the UPnP has the of vulnerability to the security countermeasure for home-networking technology since it is operated on the same protocol as the SSDP and UDP. In this paper, we analyze and report against the DoS attack, where the worm virus, using the vulnerability to the UPnP, eliminates the attack of all equipments that are based on networking and eliminates the information belonging to the equipments of the home-networking or transmits the massive data.

• Convergence Security Journal
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• v.14 no.5
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• pp.37-47
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• 2014

A Trojan malicious code is one of largest malicious codes and has been known as a virus that causes damage to a system as itself. However, it has been changed as a type that picks user information out stealthily through a backdoor method, and worms or viruses, which represent a characteristic of the Trojan malicious code, have recently been increased. Although several modeling methods for analyzing the diffusion characteristics of worms have proposed, it allows a macroscopic analysis only and shows limitations in estimating specific viruses and malicious codes. Thus, in this study an ESP model that can estimate future occurrences of Trojan malicious codes using the previous Trojan data is proposed. It is verified that the estimated value obtained using the proposed model is similar to the existing actual frequency in causes of the comparison between the obtained value and the result obtained by the Markov chain.

• Journal of Convergence Society for SMB
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• v.5 no.1
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• pp.13-18
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• 2015

The malware, as hackers generic name of executable code that is created for malicious purposes, depending on the presence or absence of a self-replicating ability infected subjects, and are classified as viruses, worms, such as the Trojan horse. Mainly Web page search and P2P use, such as when you use a shareware, has become penetration is more likely to occur in such a situation. If you receive a malware attack, whether the e-mail is sent it is automatically, or will suffer damage such as reduced system performance, personal information leaks. While introducing the current malware, let us examine the measures and describes the contents related to the malicious code.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.47 no.12
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• pp.90-96
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• 2010

IT environment is rapidly changed, thus security threats such as worms and viruses have increased. Especially company's internal network requires to be inherently protected against these threats. In this respect, NAC(Network Access Control) has attracted attention as new network security techniques. The NAC implements the endpoint access decision based on the collected endpoint security status information and platform measurement information. In this paper, we describe the design and implementation of unauthorized NAC which protect against such as a worm, virus, malware-infected PC, and mobile device to connect to company's internal networks.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.5B
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• pp.304-309
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• 2008

This paper propose the traffic anomaly detection scheme based time series model. We apply ARIMA prediction model to this scheme and transform the value of the abnormal symptom into the probability value to maximize the traffic anomaly symptom detection. For this, we have evaluated the abnormal detection performance for the proposed model using total traffic and web traffic included the attack traffic. We will expect to have an great effect if this scheme is included in some network based intrusion detection system.

• Convergence Security Journal
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• v.2 no.2
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• pp.39-47
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• 2002

To recently with the love-letter and Back Orifice the same Worm-virus, with the Trojan and the Linux-virus back against the new species virus which inside and outside of the country to increase tendency the malignant new species virus which is the possibility of decreasing the damage which is enormous in the object appears and to follow a same network coat large scale PC is being quicker, it disposes spontaneously to respect, applied an artificial intelligence technique the research against the next generation malignant computer virus of new form is demanded. Will reach and to respect it analyzes the digital immunity system of the automatic detection which is quick against the next generation malignant virus which had become unconfirmed and the foreign countries which has an removal function.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.1
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• pp.47-55
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• 2009

Bot is a kind of worm/virus that is remotely controlled by a herder. Bot can be used to launch distributed denial-of-service(DDoS) attacks or send spam e-mails etc. Launching cyber attacks using malicious Bots is motivated by increased monetary gain which is not the objective of worm/virus. However, it is very difficult for infected user to detect this infection of Botnet which becomes more serious problems. This is why botnet is a dangerous, malicious program. The Bot DNS Sinkhole is a domestic bot mitigation scheme which will be proved in this paper as one of an efficient ways to prevent malicious activities caused by bots and command/control servers. In this paper, we analysis botnet activities over more than one-year period, including Bot's lifetime, Bot command/control server's characterizing. And we analysis more efficient ways to prevent botnet activities. We have showed that DNS sinkhole scheme is one of the most effective Bot mitigation schemes.

• Convergence Security Journal
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• v.6 no.3
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• pp.21-28
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• 2006

Beginning flag security it was limited in Firewall but currently many information security solutions like Anti-virus, IDS, Firewall are come to be many. For efficiently managing different kinds of information security products ESM (Enterprise Security management) are developed and operated. Recently over the integrated security management system, TMS (Threat Management System) is rising in new area of interest. It follows in change of like this information security product and also collection information is being turning out diversification. For managing cyber threats, we have to analysis qualitative information (like vulnerabilities and malware codes, security news) as well as the quantity event logs which are from information security products of past. Information Threats and Vulnerability Auto Collector raises the accuracy of cyber threat judgement and can be utilized to respond the cyber threat which does not occur still by gathering qualitative information as well as quantity information.