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Stepping-stone is the most popular way used to attack other computers. Some insiders use stepping-stone to launch their attacks pretending to be outsiders. In this paper, we propose a novel algorithm to detect stepping-stone insider attacks through comparing outgoing and incoming connections. We modify the existing packet matching algorithm by introducing sliding window to make the algorithm more...
This paper presents an approach for recognition of Activities of Daily Living (ADLs) in smart environments. Our approach is based on the frequent pattern mining principle to extract frequent patterns in the datasets collected from different sensors disseminated in a smart environment. In contrast with existing intrusive activity recognition approaches that have been proposed in the literature, where...
Rich information on mutations and their impacts is scattered across scientific texts and literature. Reuse of mutation impact annotations requires grounding mutations to the correct positions on sequences extracted from protein databases as a critical step. This paper presents a generic method for grounding textual mentions of mutation entities to protein sequences, that is based on an OWL-DL ontology...
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