Abstract
The traditional prevention methods of anti-virus software cannot provide a safe network against malicious worms. In this paper, we research an anti-worm mechanism that actively distributes the anti-worm code to the authorized hosts. We propose a Balanced Tree based Propagation strategy(BTP) for an anti-worm strategy with a mathematic model. By varying the model parameters, the impacts can be studied. Some simulation results show us that the new strategy is effective and feasible.
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Liu, Yx., Yun, Xc., Wang, Bl., Sun, Hb. (2006). An Anti-worm with Balanced Tree Based Spreading Strategy. In: Yeung, D.S., Liu, ZQ., Wang, XZ., Yan, H. (eds) Advances in Machine Learning and Cybernetics. Lecture Notes in Computer Science(), vol 3930. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11739685_68
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DOI: https://doi.org/10.1007/11739685_68
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-33584-9
Online ISBN: 978-3-540-33585-6
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