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Modeling and analysis of Internet worm propagation

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The Journal of China Universities of Posts and Telecommunications 2010年第4期17卷 63-68页

作者： SU Fei LIN Zhao-wen MA Yan Institute of Networking Technology Beijing University of Posts and Telecommunications Beijing 100876 China Beijing Key Laboratory of Intelligent Telecommtmications Software and Multimedia Beijing University of Posts and Telecommunications Beijing 100876 China

Although the frequency of Internet worm＇s outbreak is decreased during the past ten years, the impact of worm on people＇s privacy security and enterprise＇s efficiency is still a severe problem, especially the emergence of botnet. It is urgent to do more research about worm＇s propagation model and security defense. The well-known worm models, such as simple epidemic model （SEM） and two-factor model （TFM）, take all the computers on the internet as the same, which is not accurate because of the existence of network address translation （NAT）. In this paper, we first analyze the worm＇s functional structure, and then we propose a three layer worm model named three layres worm model （TLWM）, which is an extension of SEM and TFM under NAT environment. We model the TLWM by using deterministic method as it is used in the TFM. The simulation results show that the number of NAT used on the Internet has effects on worm propagation, and the more the NAT used, the slower the worm spreads. So, the extensive use of NAT on the Internet can restrain the worm spread to some extent.

关键词： worm propagation model TLWM NAT

Diurnal Forced Models for worm propagation Based on Conficker Dataset

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Diurnal Forced Models for Worm Propagation Based on Conficke...

An Immunization Strategy for Social Network worms Based on Network Vertex Influence

第三届多媒体信息网络与安全国际会议

作者： Yu Yao Wen-long Xiang Hao Guo Ge Yu Fu-xiang Gao Key Laboratory of Medical Image Computing (Northeastern University) Ministry of Education School of Information Science and Engineering Northeastern University Shenyang China

Due to the vulnerability of computer system, Internet worm is still greatly threatenning network security. It is found that the spread of worm regularly change because of the different space distributions of hosts and this phenomenon is defined as diurnal pattern. Based on diurnal pattern, two worm propagation models, namely simple diurnal forced model and complicated diurnal forced one, are constructed to describe and predict worm propagation. To verify the accuracy of them, Conficker dataset is adopted to obtain the practical curves of worm propagation. Through comparisons of numerical curves from models and practical curves, it is proved that simple model is good in describing the initial stage of worm propagation and complicated model can accurately predict the whole worm propagation.

关键词： worm propagation diurnal pattern Conficker dataset model

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China Communications 2015年第7期12卷 154-166页

作者： YANG Wei WANG Haibo YAO Yu Software College Northeastern University Heinz College Carnegie Mellon University College of Information Science and Engineering Northeastern University

Along with the rapid development of social networks, social network worms have constituted one of the major internet security problems. The root of worm is the inevitable software vulnerability during the design and implementation process of software. So it is hard to completely avoid worms in the existing software engineering systems. Due to lots of bandwidth consumption, the patch cannot be transmitted simultaneously by the network administrator to all hosts. This paper studies how to prevent the propagation of social network worms through the immunization of key nodes. Unlike existing containment models for worm propagation, a novel immunization strategy is proposed based on network vertex influence. The strategy selects the critical vertices in the whole network. Then the immunization is applied on the selected vertices to achieve the maximal effect of worm containment with minimal cost. Different algorithms are implemented to select vertices. Simulation experiments are presented to analyze and evaluate the performance of different algorithms.

关键词： social network worm immunization strategy network security worm propagation worm containment

Modeling of Malicious Code propagations in Internet of Things

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China Communications 2011年第1期8卷 79-86页

作者：林昭文苏飞马严 Institute of Networking Technology Beijing University of Posts and Telecommunications Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia Beijing University of Posts and Telecommunications

Nowadays, the main communication object of Internet is human-human. But it is foreseeable that in the near future any object will have a unique identification and can be addressed and con- nected. The Internet will expand to the Internet of Things. IPv6 is the cornerstone of the Internet of Things. In this paper, we investigate a fast active worm, referred to as topological worm, which can propagate twice to more than three times faster tl^an a traditional scan-based worm. Topological worm spreads over AS-level network topology, making traditional epidemic models invalid for modeling the propagation of it. For this reason, we study topological worm propagation relying on simulations. First, we propose a new complex weighted network mod- el, which represents the real IPv6 AS-level network topology. And then, a new worm propagation model based on the weighted network model is constructed, which descries the topological worm propagation over AS-level network topology. The simulation results verify the topological worm model and demonstrate the effect of parameters on the propagation.

关键词： IoT IPv6 worm propagation worm model weighted complex network