In tandem with recent progress on computing on encrypted data via fully homomorphic encryption, we present a framework for computing on authenticated data via the notion of slight...
Jae Hyun Ahn, Dan Boneh, Jan Camenisch, Susan Hohe...
We present and empirically analyze a machine-learning approach for detecting intrusions on individual computers. Our Winnowbased algorithm continually monitors user and system beh...
Many current systems allow data produced by potentially malicious sources to be mounted as a file system. File system code must check this data for dangerous values or invariant ...
Junfeng Yang, Can Sar, Paul Twohey, Cristian Cadar...
Cloud computing allows the use of Internet-based services to support business processes and rental of IT-services on a utility-like basis. It offers a concentration of resources bu...
Rohit Ranchal, Bharat K. Bhargava, Lotfi Ben Othma...
This paper presents a pipelined architecture of a modular Montgomery multiplier, which is suitable to be used in public key coprocessors. Starting from a baseline implementation o...