Applied Cryptography and Network Security: 4th International by Ahren Studer, Chenxi Wang (auth.), Jianying Zhou, Moti Yung,

By Ahren Studer, Chenxi Wang (auth.), Jianying Zhou, Moti Yung, Feng Bao (eds.)

The 4th foreign convention on utilized Cryptography and community Security(ACNS 2006)washeldin Singapore,during June6-9,2006.ACNS 2006 introduced jointly participants from academia and eager about a number of examine disciplines of cryptography and defense to foster alternate of rules. This quantity (LNCS 3989) comprises papers awarded within the educational music. ACNS used to be set a excessive regular whilst it used to be initiated in 2003. there was a gentle development within the caliber of its software long ago four years: ACNS 2003 (Kunming, China), ACNS 2004 (Yellow Mountain, China), ACNS 2005 (New York, USA), ACNS 2006 (Singapore). the common acc- tance price is stored at round 16%. we want to obtain the ongoing aid from the neighborhood of cryptographyand safeguard world wide to additional enhance its caliber and make ACNS one of many top meetings. this system Committee of ACNS 2006 got a complete of 218 submissions fromallovertheworld,ofwhich33wereselectedforpresentationattheacademic music. as well as this tune, the convention additionally hosted an commercial song of shows that have been conscientiously chosen in addition. All submissions have been reviewed by way of specialists within the suitable parts. we're indebted to our software Committee contributors and the exterior reviewers for the nice activity they've got played. The court cases include revised types of the approved papers. even if, revisions weren't checked and the authors undergo complete accountability for the content material in their papers.

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Extra info for Applied Cryptography and Network Security: 4th International Conference, ACNS 2006, Singapore, June 6-9, 2006. Proceedings

Example text

Suppose we have n Send packets, and m Echo packets, from the efficient clustering algorithm, we need to select one cluster from the m clusters. The complexity of this algorithm is dominated by Step 2. Considering there are n elements in each cluster, and there are m elements in each data set, the complexity of this algorithm is O(m*n*(m-1))=O(n*m2) under the worst case. Comparing with the complexity of the previous algorithm, O(mn), obviously, this algorithm is largely improved in time and space complexity.

Zhang If we create each data set based on each Send packet in S, we have the following n data sets in which the negative elements are not taken into consideration: S1={s1e1, s1e2,…, s1em}, S2={s2e1, s2e2,…, s2em}, … Sn={sne1, sne2,…, snem }. Here, Si represents ith data set based on the Send packet si; siej=ej-si represents the time gap between the timestamp of ith Send packet and the jth Echo packet. There is one and only one gap which represents the true RTT in each data set because we have assumed that each Send must be replied by the victim site (final destination host).

Zhang send-echo matches. For clarity, we only show part of the RTTs (Send packet index number 100-170) in Fig. 2. From this comparison, we draw the following two points. 1) All the RTTs obtained by the Conservative algorithm are the same as the part of the RTTs found by the clustering algorithm. 2) Even though we cannot judge the correctness of the rest of the RTTs, but from their distribution, we see they are very close to the results of the Conservative algorithm. 2. However, this algorithm is still useful to compute the RTTs in practice because the empirical study showed that the efficient clustering algorithm could obtain the RTTs, which are the same as the results of the clustering algorithm for most real world examples.

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Applied Cryptography and Network Security: 4th International by Ahren Studer, Chenxi Wang (auth.), Jianying Zhou, Moti Yung,
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