Detecting and Defending against Malicious Attacks in the iTrust ...
Detecting and Defending against Malicious Attacks in the iTrust ...
Detecting and Defending against Malicious Attacks in the iTrust ...
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Conclusions<br />
<strong>iTrust</strong> is desirable for <strong>in</strong>dividuals who fear<br />
censorship of <strong>in</strong>formation accessed on <strong>the</strong> Internet<br />
We have presented novel statistical algorithms for<br />
detect<strong>in</strong>g <strong>and</strong> defend<strong>in</strong>g <strong>aga<strong>in</strong>st</strong> malicious attacks<br />
Detection algorithm estimates <strong>the</strong> proportion of nodes that are<br />
subverted or non-operational, based on <strong>the</strong> number of<br />
responses that a request<strong>in</strong>g node receives<br />
Defensive adaptation algorithm determ<strong>in</strong>es <strong>the</strong> number of<br />
nodes to which <strong>the</strong> metadata <strong>and</strong> <strong>the</strong> requests must distributed<br />
to ma<strong>in</strong>ta<strong>in</strong> <strong>the</strong> same probability of a match, as when all <strong>the</strong><br />
nodes are operational<br />
ICOIN 2012 <strong>iTrust</strong> Yung-T<strong>in</strong>g Chuang
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