@article{(Open Science Index):https://publications.waset.org/pdf/7035,
	  title     = {Distributed Detection and Optimal Traffic-blocking of Network Worms},
	  author    = {Zoran Nikoloski and  Narsingh Deo and  Ludek Kucera},
	  country	= {},
	  institution	= {},
	  abstract     = {Despite the recent surge of research in control of
worm propagation, currently, there is no effective defense system
against such cyber attacks. We first design a distributed detection
architecture called Detection via Distributed Blackholes (DDBH).
Our novel detection mechanism could be implemented via virtual
honeypots or honeynets. Simulation results show that a worm can be
detected with virtual honeypots on only 3% of the nodes. Moreover,
the worm is detected when less than 1.5% of the nodes are infected.
We then develop two control strategies: (1) optimal dynamic trafficblocking,
for which we determine the condition that guarantees
minimum number of removed nodes when the worm is contained and
(2) predictive dynamic traffic-blocking–a realistic deployment of
the optimal strategy on scale-free graphs. The predictive dynamic
traffic-blocking, coupled with the DDBH, ensures that more than
40% of the network is unaffected by the propagation at the time
when the worm is contained.},
	    journal   = {International Journal of Computer and Systems Engineering},
	  volume    = {1},
	  number    = {10},
	  year      = {2007},
	  pages     = {3284 - 3290},
	  ee        = {https://publications.waset.org/pdf/7035},
	  url   	= {https://publications.waset.org/vol/10},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 10, 2007},
	}