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Recent studies have indicated that well-designed convolutional neural network (CNN) has achieved comparable performance to the spatial rich models with ensemble classifier (SRM-EC) in digital image steganalysis. In this paper, we discuss the difference and correlation between a CNN model and a SRM-EC model, and explore the classification error rate varying with texture complexity of an image for both...
Stepping-stone attack in network intrusion detection are attackers who use a sequence of intermediate (or so called stepping-stone) hosts to initiate attacks in order to hide their origins. We investigate a number of dynamic programming based pattern recognition approaches and our novel algorithm for detecting correlation and similarity of two connections not only into and out of a single stepping...
Most researchers do not distinguish stepping-stone detection and stepping-stone intrusion detection, thus introduce more false positive errors in detecting stepping-stone intrusion. Those approaches proposed to detect stepping-stone intrusion are vulnerable to intruders' evasion. In this paper we analyze the problems of the current model used to detect stepping-stone, and propose a new model based...
Most network intruders launch their attacks through stepping-stones to reduce the risks of being discovered. To uncover such intrusions, one prevalent, challenging, and critical way is to compare an incoming connection with outgoing connections to determine if a computer is used as a stepping-stone. In this paper, we present a way by using signal processing technology-correlation coefficient, such...
Most network intruders launch their attacks through stepping-stones to reduce the risks of being discovered. To uncover such intrusions, one prevalent, challenging, and critical way is to compare an incoming connection with an outgoing connection to determine if a computer is used as stepping-stone. In this paper, we present four models to describe stepping-stone intrusion. We also propose the idea...
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