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Title: detecting kernel level rootkits using data structure invariants
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Abstract.
We present deterministic sub-linear space algorithms for a number of problems over update data streams, including, estimating fre- quencies of items and ranges, ¯nding approximate frequent items and approximate Á-quantiles, estimating inner-products, constructing near- optimal B-bucket histograms and estimating entropy. We also present new lower bound results for several problems over update data streams.
1 Introduction
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Introduction to data structures
Introduction to data structures


03-DataStructures.ppt (Size: 72.5 KB / Downloads: 0)

What is a data structure?


A primitive data type holds a single piece of data
e.g. in Java: int, long, char, boolean etc.
Legal operations on integers: + - * / ...
A data structure structures data!
Usually more than one piece of data
Should provide legal operations on the data
The data might be joined together (e.g. in an array): a collection
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Title: detecting kernel level rootkits using data structure invariants ppts
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Created at: Saturday 20th of October 2012 07:18:11 PM
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