In this paper, we propose a semi-supervised learning approach for classifying program (bot) generated web search traffic from that of genuine human users. The work is motivated by...
Hongwen Kang, Kuansan Wang, David Soukal, Fritz Be...
As sophisticated enterprise applications move to the Web, some advanced user experiences become difficult to migrate due to prohibitively high computation, memory, and bandwidth r...
Daniel Coffman, Danny Soroker, Chandra Narayanaswa...
A number of works have investigated using tamper-proof hardware tokens as tools to achieve a variety of cryptographic tasks. In particular, Goldreich and Ostrovsky considered the ...
Vipul Goyal, Yuval Ishai, Amit Sahai, Ramarathnam ...
This paper introduces a new architecture for automating the generalization of program structure and the recognition of common patterns in the area of malware analysis. By using ma...
—Managing access control policies is a complex task. We argue that much of the complexity is unnecessary and mostly due to historical reasons. There are number of legacy policy s...