Abstract. Segmentation is an important step to obtain quantitative information from tomographic data sets. To this end, global thresholding is often used in practice. However, it i...
In stochastic thresholding, the threshold for quantization of a signal is randomized. An estimator based on quantized signal data can be optimized through stochastic thresholding. ...
Network attacks often employ scanning to locate vulnerable hosts and services. Fast and accurate detection of local scanners is key to containing an epidemic in its early stage. Ex...
In this work we propose a new stream authentication scheme that is suitable for live packet streams distributed over a lossy channel, such as an IP-multicast group. Packets are si...
Successful spectrum sharing in a cognitive radio network depends on the correct and quick detection of primary activity. Cooperative spectrum sensing is therefore suggested to enh...
Laila Hesham, Ahmed Sultan, Mohammed Nafie, Fadel ...