Network attacks such as computer virus and worms that scan computers randomly have caused billions of dollars in damage to enterprises across the Internet [Erbschloe M., 2005]. There are different worm detection techniques. [Guofei, G., 2004] classified them according to the worm characteristic used by detection technique. One approach is using worm signatures, it depends on the identical or si...

Worms have been becoming a serious threat in web age because worms can cause huge loss due to the fast-spread property. To detect worms effectively, it is important to investigate the characteristics of worm traffic at individual source level. We model worm traffic with the multi-fractal process, and compare the multi-fractal property of worm and normal traffics at individual source level. The ...

We introduce WORM-ORAM, a first mechanism that combines Oblivious RAM (ORAM) access privacy and data confidentiality with Write Once Read Many (WORM) regulatory data retention guarantees. Clients can outsource their database to a server with full confidentiality and data access privacy, and, for data retention, the server ensures client access WORM semantics. In general simple confidentiality a...

As a basic prerequisite for worm detection based on computational intelligence in networks with locator/identifier separation, it is well worth considering the influence on worm propagation due to the incoming locator/identifier separation. In this paper, according to the characteristics of locator/identifier separation, we systematically analyze the mitigation of worm propagation in three aspe...

The worm plot is a series of detrended Q-Q plots, split by covariate levels. The worm plot is a diagnostic tool for visualizing how well a statistical model fits the data, for finding locations at which the fit can be improved, and for comparing the fit of different models. This paper shows how the worm plot can be used in conjunction with quantile regression. No parametric distributional assum...

School attendance records of all primary schools in a guinea worm-endemic village in southwestern Nigeria were examined to determine the cause of missed school days and school drop-outs. At the time of the survey, 1,495 pupils (768 boys and 727 girls were registered in the 4 primary schools in the village, of which 21% of the pupils were infected with guinea worm disease (GWD). Female pupils ha...

Knowledge of the worm origin is necessary to forensic analysis, and knowledge of the initial causal flows supports diagnosis of how network defenses were breached. Fast and accurate online tracing network worm during its propagation, help to detect worm origin and the earliest infected nodes, and is essential for large-scale worm containment. This paper introduces the Accumulation Algorithm whi...