L. D'Anna

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This document describes our investigation into software obfuscation for building Self-Protecting Mobile Agents (SPMA). The original goal of the SPMA project was to develop automated tools to protect mobile agents from attacks by malicious hosts. In development of those tools, we realized obfuscation could not be relied upon to give a reasonable amount of(More)
This document presents an analysis of various program obfuscation techniques performed as part of the Self-Protecting Mobile Agents (SPMA) project. We have developed the Java Binary Enhancement Tool (JBET) to explore the real-world tradeoffs in translating and obfuscating Java bytecodes. We consider methods for obfuscating long-term data values, temporary(More)
In this paper we present a novel algorithm for anchor shot detection (ASD). ASD is a fundamental step for segmenting news video into stories that is among key issues for achieving efficient treatment of news-based digital libraries. The proposed algorithm creates a set of audio/video templates of anchorperson shots in an unsupervised way, then classifies(More)
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