Titlebook: Recent Advances in Intrusion Detection; 12th International S Engin Kirda,Somesh Jha,Davide Balzarotti Conference proceedings 2009 Springer-

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Lei Liu,Guanhua Yan,Xinwen Zhang,Songqing Chenwhich include digital, memory, and mixed-signalsubsystems. To our knowledge this is the first textbook to cover all three types of electronic circuits. We have written this textbook for an undergraduate “foundations” course on electronic testing. Obviously, it is too voluminous for a one-semester co

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Daniel Luchaup,Randy Smith,Cristian Estan,Somesh Jhaof pin counts of 1024 pins/chip and higher clock rates. This leads to increased problems with inductance and electrical noise during digital test. For a more comprehensive study of the VLSI testing process,the reader may examine a recent survey article by Grochowski et al. [270] and the books listed

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Chaoting Xuan,John Copeland,Raheem Beyahwhich include digital, memory, and mixed-signalsubsystems. To our knowledge this is the first textbook to cover all three types of electronic circuits. We have written this textbook for an undergraduate “foundations” course on electronic testing. Obviously, it is too voluminous for a one-semester co

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Yang Li,Li Guo,Bin-Xing Fang,Xiang-Tao Liu,Lin-Qiof pin counts of 1024 pins/chip and higher clock rates. This leads to increased problems with inductance and electrical noise during digital test. For a more comprehensive study of the VLSI testing process,the reader may examine a recent survey article by Grochowski et al. [270] and the books listed

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Protecting a Moving Target: Addressing Web Application Concept Driftations, we can reduce false positives and allow for the automated retraining of the anomaly models..We have evaluated our approach by analyzing a number of real-world applications. Our analysis shows that web applications indeed change substantially over time, and that our technique is able to effec

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Adaptive Anomaly Detection via Self-calibration and Dynamic Updatinglibration phase can be employed in conjunction with previously proposed methods for training data sanitization resulting in a fully automated AD maintenance cycle. Our approach is completely agnostic to the underlying AD sensor algorithm. Furthermore, the self-calibration can be applied in an online

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