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» Intrusion Detection: Systems and Models
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FORTE
2008
15 years 8 months ago
Detecting Communication Protocol Security Flaws by Formal Fuzz Testing and Machine Learning
Network-based fuzz testing has become an effective mechanism to ensure the security and reliability of communication protocol systems. However, fuzz testing is still conducted in a...
Guoqiang Shu, Yating Hsu, David Lee
VALUETOOLS
2006
ACM
167views Hardware» more  VALUETOOLS 2006»
16 years 20 days ago
Detailed cache simulation for detecting bottleneck, miss reason and optimization potentialities
Cache locality optimization is an efficient way for reducing the idle time of modern processors in waiting for needed data. This kind of optimization can be achieved either on the...
Jie Tao, Wolfgang Karl
TDSC
2011
15 years 1 months ago
Application-Level Diagnostic and Membership Protocols for Generic Time-Triggered Systems
Abstract— We present on-line tunable diagnostic and membership protocols for generic time-triggered (TT) systems to detect crashes, send/receive omission faults and network parti...
Marco Serafini, Péter Bokor, Neeraj Suri, J...
CIMCA
2006
IEEE
15 years 10 months ago
An Improvement in Sugeno-Yasukawa Modeler
Structure identification is one of the most significant steps in Fuzzy modeling of a complex system. Efficient structure identification requires good approximation of the effectiv...
Amir Hossein Hadad, Saeed Shiry Ghidary, Saeed Bag...
WIMOB
2007
IEEE
16 years 29 days ago
Performance Analysis of Ranging Process in IEEE 802.16e OFDMA Systems
In this paper, ranging process in IEEE 802.16e OFDMA systems is analyzed and performance is evaluated. Ranging process provides initial network entry, uplink synchronization, and ...
Doo Hwan Lee, Hiroyuki Morikawa