Negative selection algorithms are immune-inspired classifiers that are trained on negative examples only. Classification is performed by generating detectors that match none of ...
Commercial anti-virus software are unable to provide protection against newly launched (a.k.a “zero-day”) malware. In this paper, we propose a novel malware detection techniqu...
S. Momina Tabish, M. Zubair Shafiq, Muddassar Faro...
The recent trend towards dynamically extensible systems, such as Java, SPIN or VINO, promises more powerful and flexible systems. At the same time, the impact of extensibility on...
The traditional GA theory is pillared on the Building Block Hypothesis (BBH) which states that Genetic Algorithms (GAs) work by discovering, emphasizing and recombining low order ...
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...