Titlebook: Information Security Practice and Experience; Second International Kefei Chen,Robert Deng,Jianying Zhou Conference proceedings 2006 Springe

柔美流暢

V切開(kāi)

A Counting-Based Method for Massive Spam Mail Classificationr method can filter spam with a very low degree of false positive and also preserves performance while coping with large volumes of spam mail. With optimized parameter configuration, our method achieves a precision of 100% and recall of 75.3% in spam mail classification.

樹(shù)上結(jié)蜜糖

Conference proceedings 2006k place in Hangzhou, China, April 11–14, 2006. The inaugural ISPEC 2005 was held exactly one year earlier in Singapore. As applications of information security technologies become pervasive, issues pertaining to their deployment and operations are becoming increasingly imp- tant. ISPEC is an annual

upstart

CLASP

NAVEN

More on Shared-Scalar-Product Protocolsme is statistically hiding and computationally binding in the public reference string model. The potential areas of application of this protocol are numerous (e.g., computation of Euclidean distance, oblivious linear auxiliary information computation and so on...).

上下倒置

flammable

Tackling Worm Detection Speed and False Alarm in Virus Throttling the number of connection requests with different destinations, in contrast to simple length of delay queue as in the typical throttling algorithm. Moreover, the proposed algorithm utilizes the trend value of weighted average queue length for reducing worm detection time. The performance is empirically verified in various aspects.

nascent

Using Data Field to Analyze Network Intrusionsize the class of such object. We evaluated our approach over KDD Cup 1999 data set. Experimental results show most attacks can be correctly discriminated in our data field and the false positive rate is acceptable. Compared with other approaches, our method has the better performance in detection of PROBE and U2R attacks.

antenna