We address the problem of collecting unique items in a large stream of information in the context of Intrusion Prevention Systems (IPSs). IPSs detect attacks at gigabit speeds and...
Vinh The Lam, Michael Mitzenmacher, George Varghes...
Frequently, sequences of state transitions are triggered by specific signals. Learning these triggered sequences with recurrent neural networks implies storing them as different at...
Active involvement of end users in the development of interactive systems is both highly recommended and highly challenging. This is particularly true in settings where the require...
Combining multiple classifiers via combining schemes or meta-learners has led to substantial improvements in many classification problems. One of the challenging tasks is to choos...
Along with the trend in networked computing environments towards largely unbounded network infrastructures, the traditional anti-sniffing issue meets a great challenge. This paper...
Xiu-guo Bao, Ming-zheng Hu, Xiao-chun Yun, Ri Ding