Now showing items 1-3 of 3

    • Computer network intrusion detection using sequential LSTM neural networks autoencoders 

      Mirza, Ali H.; Coşan, Selin (IEEE, 2018-05)
      In this paper, we introduce a sequential autoencoder framework using long short term memory (LSTM) neural network for computer network intrusion detection. We exploit the dimensionality reduction and feature extraction ...
    • On probability of success in linear and differential cryptanalysis 

      Selçuk, A. A. (Springer New York LLC, 2008-01)
      Despite their widespread usage in block cipher security, linear and differential cryptanalysis still lack a robust treatment of their success probability, and the success chances of these attacks have commonly been estimated ...
    • Online anomaly detection with nested trees 

      Delibalta, I.; Gokcesu, K.; Simsek, M.; Baruh, L.; Kozat, S. S. (Institute of Electrical and Electronics Engineers Inc., 2016)
      We introduce an online anomaly detection algorithm that processes data in a sequential manner. At each time, the algorithm makes a new observation, produces a decision, and then adaptively updates all its parameters to ...