• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.12 no.1
• /
• pp.81-86
• /
• 2008

Fast spreading Internet worms, such as Code Red and Slammer, have become one of the new major throne of the Internet recently. In order to defend against theses worms, it is essential to understand how Internet worms propagate and how different Internet factors affect worm spreading. In this paper, we intend to describe the spread of worms on Internet environments accurately. Therefore we model and analyze the spreading effects by various simulations considering Internet addressing and speed. The results lead to a better prediction of the worm spreading on current and future Internet environments.

• Convergence Security Journal
• /
• v.6 no.4
• /
• pp.75-82
• /
• 2006

Internet worm gives various while we paralyze the network and flow the information out damages. In this paper, I suggest the method to prevent this. This method detect internet worm in PC first. and present the method to do an automatic confrontation. This method detect a traffic foundation network scanning of internet worm which is the feature and accomplish the confrontation. This method stop the process to be infected at the internet worm and prevent that traffic is flowed out to the outside. and This method isolate the execution file to be infected at the internet worm and move at a specific location for organizing at the postmortem so that we could accomplish the investigation about internet worm. Such method is useful to the radiation detection indication and computation of unknown internet worm. therefore, Stable network operation is possible through this method.

• Proceedings of the Korea Society of Information Technology Applications Conference
• /
• 2005.11a
• /
• pp.161-164
• /
• 2005

As the power of influence of the Internet grows steadily, attacks against the Internet can cause enormous monetary damages nowadays. A worm can not only replicate itself like a virus but also propagate itself across the Internet. So it infects vulnerable hosts in the Internet and then downgrades the overall performance of the Internet or makes the Internet not to work. To response this, worm detection and prevention technologies are developed. The worm detection technologies are classified into two categories, host based detection and network based detection. Host based detection methods are a method which checks the files that worms make, a method which checks the integrity of the file systems and so on. Network based detection methods are a misuse detection method which compares traffic payloads with worm signatures and anomaly detection methods which check inbound/outbound scan rates, ICMP host/port unreachable message rates, and TCP RST packet rates. However, single detection methods like the aforementioned can't response worms' attacks effectively because worms attack the Internet in the distributed fashion. In this paper, we propose a design of distributed worm detection system to overcome the inefficiency. Existing distributed network intrusion detection systems cooperate with each other only with their own information. Unlike this, in our proposed system, a worm detection system on a network in which worms select targets and a worm detection system on a network in which worms propagate themselves cooperate with each other with the direction-aware information in terms of worm's lifecycle. The direction-aware information includes the moving direction of worms and the service port attacked by worms. In this way, we can not only reduce false positive rate of the system but also prevent worms from propagating themselves across the Internet through dispersing the confirmed worm signature.

• Kyungpook Mathematical Journal
• /
• v.56 no.4
• /
• pp.1191-1205
• /
• 2016

The emergence of various Internet worms, including the stand-alone Code Red worm that caused a distributed denial of service (DDoS), has prompted many studies on their propagation speed to minimize potential damages. Many studies, however, assume the same probabilities for initially infected nodes to infect each node during their propagation, which do not reflect accurate Internet worm propagation modelling. Thus, this paper analyzes how Internet worm propagation speed varies according to the number of vulnerable hosts directly connected to infected hosts as well as the link costs between infected and vulnerable hosts. A mathematical model based on centrality theory is proposed to analyze and simulate the effects of degree centrality values and closeness centrality values representing the connectivity of nodes in a large-scale network environment on Internet worm propagation speed.

• Proceedings of the Korea Information Assurance Society Conference
• /
• 2004.05a
• /
• pp.333-337
• /
• 2004

The Internet worm is changed rapidly and virus vaccine can not defense the whole Internet worm. To prevent them form spreading into network and analysis specifications, we design and implement the Internet Worm Traffic Generator. In this research, we offer the real worm propagation environment through protocol and scenario specification.

• The Journal of the Korea Contents Association
• /
• v.6 no.12
• /
• pp.155-162
• /
• 2006

It was well known that how much seriously the Internet worm such as the Code Red had an effect on our daily activities. Recently the rapid growth of the Internet speed will produce more swift damage us in a short term period. In order to defend against future worm, we need to understand the propagation pattern during the lifetime of worms. In this paper, we analyze the propagation pattern of the Code Red worm by a computer simulation. In particular, we show that an existing simulation result about the number of infectious hosts does not match the observed data, and then we introduce a factor of revised human countermeasures into the simulation. We also show the simulation results presenting the importance of patching and pre-patching of the Internet worm.

• Proceedings of the Korea Information Assurance Society Conference
• /
• 2004.05a
• /
• pp.181-185
• /
• 2004

In these days, many reports noticed that the Internet worms spread out and have done considerable damage to all over the world network within a few days. The worms, which is infected from various route such as e-mail, can spread very fast with common property, self replication. But, there is not prepare for the way effectively to interrupt internet worm. Therefore, to prevent our network resource, internet hosts and user clients, the systemic categorization and automatic defense mechanism is required in the Internet worm research. Hence, in this paper, we describe internet worm propagation and defense model.

• Proceedings of the Korea Information Assurance Society Conference
• /
• 2004.05a
• /
• pp.327-331
• /
• 2004

The new cyber world has created by Internet that is prosperous rapidly. But with the expansion of Internet the hacking and intrusion are also increased very much. Actually there were many incidents in Internet, but the damage was restricted within a local area and local system. However, the Great 1.25 Internet Disturbance has paralyzed the national wide Internet environment. It because the Slammer Worm. The worm is a malformed program that uses both of the hacking and computer virus techniques. It autonomously attacks the vulnerability of Windows system, duplicates and spreads by itself. Jus like the Slammer Worm, almost every worms attack the vulnerability of Windows systems that installed in personal PC. Therefore, the vulnerability in personal PC could destroy the whole Internet world. So, in this paper we propose a Internet Worm Expanding Prevention System that could be installed in personal PC to prevent from expanding the Internet Worm. And we will introduce the results of developed system.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.3 no.1
• /
• pp.96-107
• /
• 2009

Worm attacks can greatly distort network performance, and countering infections can exact a heavy toll on economic and technical resources. Worm modeling helps us to better understand the spread and propagation of worms through a network, and combining effective types of mitigation techniques helps prevent and mitigate the effects of worm attacks. In this paper, we propose a mathematical model which combines both dynamic quarantine and passive benign worms. This Passive Worm Dynamic Quarantine (PWDQ) model departs from previous models in that infected hosts will be recovered either by passive benign worms or quarantine measure. Computer simulation shows that the performance of our proposed model is significantly better than existing models, in terms of decreasing the number of infectious hosts and reducing the worm propagation speed.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.16 no.3
• /
• pp.165-172
• /
• 2006

There are various threats as side effects against the growth of information technology, and malicious codes such as Internet worms may bring about confusions to upset a national backbone network. In this paper, we examine the existed spreading models and propose a new worm spreading model on Internet environment. We also predict and analyze the spreading effects of high-speed Internet worms. The proposed model leads to a better prediction of the worm spreading since various factors are considered.