Now showing items 1-6 of 6

    • Challenges in developing Capture-HPC exclusion lists 

      Puttaroo, Mohammad; Komisarczuk, Peter; Cordeiro De Amorim, Renato (ACM Press, 2014-09-09)
      In this paper we discuss the challenges faced whilst developing exclusion lists for the high-interaction client honeypot, Capture-HPC. Exclusion lists are Capture client system behaviours which are used in the decision ...
    • On Drive-by-Download Attacks and Malware Classification 

      Puttaaroo, Mohammad; Komisarczuk, Peter; Cordeiro De Amorim, Renato (North East Wales Institute, 2013-09)
    • On Initializations for the Minkowski Weighted K-Means 

      Cordeiro De Amorim, Renato; Komisarczuk, Peter (Springer Nature, 2012)
      Minkowski Weighted K-Means is a variant of K-Means set in the Minkowski space, automatically computing weights for features at each cluster. As a variant of K-Means, its accuracy heavily depends on the initial centroids ...
    • On Partitional Clustering of Malware 

      Cordeiro De Amorim, Renato; Komisarczuk, Peter (2012-07)
      In this paper we fully describe a novel clustering method for malware, from the transformation of data into a manipulable standardised data matrix, finding the number of clusters until the clustering itself including ...
    • Partitional Clustering of Malware Using K-Means 

      Cordeiro De Amorim, Renato; Komisarczuk, Peter (Springer Nature, 2014-05)
      This paper describes a novel method aiming to cluster datasets containing malware behavioural data. Our method transform the data into an standardised data matrix that can be used in any clustering algorithm, finds the ...
    • Towards effective malware clustering : reducing false negatives through feature weighting and the Lp metric 

      Cordeiro De Amorim, Renato; Komisarczuk, Peter (CRC Press, 2014-09)
      In this paper we present a novel method to reduce the incidence of false negatives in the clustering of malware detected during drive-by-download attacks. Our method comprises the use of a high-interaction client honey-pot ...