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Network Steganography which uses length of the packets for hiding the secret data are getting more importance day by day. Various steganographic algorithms have been proposed which embeds the data length modulating sequence of packet lengths with secret data stream. In this paper, a network steganalysis scheme has been proposed which can detect the presence of steganographic embedding by modifying...
Most of the anomaly based techniques produce vast number of alert messages that include a large percentage of false alarms. One of the widely used technique for anomaly intrusion detection systems (IDS) is cluster analysis. In cluster based IDS, feature vectors generated from network traffic are grouped into clusters as normal or abnormal (raising alert). The main cause for false alert generation...
Network based intrusion detection (NID) involves collection of raw packets from network and analyzing them for anomalous content. This deals with careful collection of required features from the header and payloads of packet. Data mining is one of the most popular technique to mine NID database. Most of the mining algorithms require multiple scans of database which increases the I/O operations and...
We propose that appearance descriptors derived from the complete animacy of an object during its scene presence more comprehensively capture the essence of an object than descriptors that merely encode uncorrelated sets of its instantaneous appearances. During its frame presence, an object presents itself in many poses with differing frequencies, thus generating multiple modes of varying strengths...
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