Search results for: blackholes.

Authors: Yongbai Yin

Abstract:

We propose a non-expanding model of the universe based on the non-changing fine-structure constant and the Einstein’s space-time relativity theory by assuming that the vacuum space permittivity is a decaying function over the time span of the universe. This model consistently explains the Redshift, the “expanding” and the age of the universe as in the “Big Bang” model. It also offers an interpretation on the unexpected “accelerated expanding” universe and the origin of the mystery “Dark matters” which the “big Bang” model has failed to explain. This model predicts that the universe began with an “extremely cold” rather than “extremely hot” stage to explain the cosmic microwave background radiation and the age of the universe without introducing the problematic singularity and inflationary issues introduced in the “Big Bang” model. It predicts mathematically that galaxies could end into blackholes. Because blackholes should have the same space conditions as those of the vacuum space in the beginning of the universe in this model, this work paves the way to support the cyclic universes model without violating the first law of thermodynamics.

Keywords: Cosmic microwave background, dark energy, dark matters, expanding universe, evolution of the universe, blackholes.

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Authors: Zoran Nikoloski, Narsingh Deo, Ludek Kucera

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.

Keywords: Network worms, distributed detection, optimaltraffic-blocking, individual-based simulation.

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