Titlebook: ;

Anticoagulants

High-Level Automatic Event Detection and User Classification in a Social Network Contextn of relational algebra, which improves and extends our earlier work in the video surveillance context. By means of intuitive and interactive graphical user interfaces, a user is able to gain insights into the inner workings of the system as well as create new event models and user categories on the

显赫的人

https://doi.org/10.1057/9780230500945romagnetic emissions from the processing system on which the computation is being executed. The particular approach described involves two ingredients: (i) signal processing and machine learning to map observed analog measurements to program segments; and (ii) the program’s control flow structure wh

FICE

四溢

https://doi.org/10.1007/978-1-84628-791-6ks. In most existing approaches, an attack tree represents generic ways of attacking a system, but without taking any specific system or its configuration into account. This means that such a generic attack tree may contain attacks that are not applicable to the analyzed system, and also that a give

迁移

https://doi.org/10.1007/978-3-322-86510-6embedded systems introduce a new factor in this trade-off: the security level of the system. So system architects must consider, during the design, the different attacks that target the system and the possible countermeasures, and their costs. In this article, we present a methodology to help design

Kidnap

刻苦读书

https://doi.org/10.1007/978-1-349-09357-1icity consumption, resulting in substantial savings for the household. Organizations such as national departments of energy have thus been interested in analyzing the feasibility of illegal activities of this type. Indeed, since nearly every apartment is equipped with a power meter, the negative fin

切掉

https://doi.org/10.1007/978-1-349-17557-4forward matter to apply incident data in risk assessments. The paper trail of incident data is often incomplete, ambiguous, and dependent on the incident handlers routines for keeping records. Current incident classification approaches classify incidents as one specific type, for example, “Data spil

终端

河潭