Knowledge Structure on Virus for User Education

Madihah,; Nazean,

doi:10.1109/iccias.2006.295313

Cited by 2 publications

(1 citation statement)

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“…Internet is a complex huge system and the propagation of network virus is influenced by many factors [1] . Furthermore, these factors are involved in people's behaviors that are hard to depict mathematically.…”

Section: Introductionmentioning

confidence: 99%

Development Model of Email Virus Based on Abnormity Detection

Jin

Deng

Liu

2008

2008 International Conference on MultiMedia and Information Technology

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Computer viruses and worms pose serious threats to the modern society by stealing the confidential information, modifying files and destroying the operating system. Especially, the email has become the primary measure to spreading viruses. Inspired on the classical epidemiological model, an improving model based on the dynamic infected rate and immune rate is proposed. The simulation experiments are carried out by altering the correlative parameters and the experimental results provide the clue for developing the detected scheme of email virus. A promising detected scheme is proposed which detected viruses based on the abnormal behaviors of viral emails rather than the pattern of viruses. This scheme can throttle the new viruses and accords with the developing requirement of anti-virus technology.

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Section: Introductionmentioning

confidence: 99%

Development Model of Email Virus Based on Abnormity Detection

Jin

Deng

Liu

2008

2008 International Conference on MultiMedia and Information Technology

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Research on Hiding Technology of Web Malicious Code

Zhang

Wang

Zhao

2011

AEF

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Abstract. In modern network confrontation, it is very important to improve the viability of web malicious code. According to the generation and propagation characteristics, we propose the web malicious code hidden solutions which are based on deformation and encryption. Combining with MS09002 vulnerabilities we give an application example of web Trojan hidden. Test results show that the proposed integrated solution has the better capacity of avoiding virus killing and the stronger hidden performance. The significant improvement of viability of web malicious code is very important of application. Introductions

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Knowledge Structure on Virus for User Education

Cited by 2 publications

References 1 publication

Development Model of Email Virus Based on Abnormity Detection

Development Model of Email Virus Based on Abnormity Detection

Research on Hiding Technology of Web Malicious Code

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