In Optical Burst Switched (OBS) networks, packets are assembled into bursts at ingress edge routers and disassembled at egress edge routers. This letter presents an analytical model to quantify the burstification late...
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Optical Burst Switching (OBS) allows variable size data bursts to be transported directly over DWDM links without encountering O/E/O conversion. This paper identifies potential threats to security in OBS networks. To ...
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ISBN:
(纸本)9780889866591
Optical Burst Switching (OBS) allows variable size data bursts to be transported directly over DWDM links without encountering O/E/O conversion. This paper identifies potential threats to security in OBS networks. To alleviate the security threats, we propose a Secured Optical Burst Switching (S-OBS) framework that, for the first time, brings security measures to the OBS networks. The contributions of the paper are summarized as follows: 1) This is the first paper that identifies the potential security problems in OBS networks;2) We have proposed a security framework for OBS networks;3) We have proposed two levels of security measures to be incorporated into OBS networks, namely, authentication of burst headers and confidentiality of data bursts;4) We have examined the candidate solutions in each category, and suggested the solutions that are well suited to OBS networks.
Including concepts of entrepreneurship in an engineering education is nothing new. It would be difficult to find a university that does not offer several courses or specific programs in entrepreneurship. However, find...
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Since October 2005, the business and engineering faculties of the Milwaukee School of engineering (MSOE) have been working on a novel effort to integrate entrepreneurship into the engineering curricula. Our methods br...
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In this paper, we first provide a new theoretical understanding of the Evidence Pre-propagated Importance Sampling algorithm (EPIS-BN) (Yuan & Druzdzel 2003;2006b) and show that its importance function minimizes t...
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Some real problems are more naturally modeled by hybrid Bayesian networks that consist of mixtures of continuous and discrete variables with their interactions described by equations and continuous probability distrib...
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Some real problems are more naturally modeled by hybrid Bayesian networks that consist of mixtures of continuous and discrete variables with their interactions described by equations and continuous probability distributions. However, inference in such general hybrid models is hard. Therefore, existing approaches either only deal with special instances, such as Conditional Linear Gaussians (CLGs), or approximate a general model with a restricted version and then perform inference on the simpler model. However, results thus obtained highly depend on the quality of the approximations. This paper describes an importance sampling-based algorithm that directly deals with hybrid Bayesian networks constructed in the most general settings and guarantees to converge to the correct answers given enough time.
Knowledge elicitation is difficult for expert systems that are based on probability theory. The elicitation of probabilities for a probabilistic model requires a lot of time and interaction between the knowledge engin...
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The establishment of the Women in Science and engineering (WiSE) program represents the serious commitment of the University of Southern California to address the under-representation of women in science and engineeri...
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In order to assist driver's vision, a real-time recognition system for traffic signs is proposed. After detecting sign candidates, biologically inspired opponent-color filters are used to extract symbol parts of s...
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ISBN:
(纸本)9781617387777
In order to assist driver's vision, a real-time recognition system for traffic signs is proposed. After detecting sign candidates, biologically inspired opponent-color filters are used to extract symbol parts of signs. After normalizing the size of symbol, structural features are calculated to identify the sign. 5572 segmented images are used to design the algorithm. In a real-time system, the same sign in a sequence of frames is tracked, and a majority vote is used to integrate the recognition results. For test data, 93.8% recall rate and 99.3% precision rate could be attained. In-vehicle experiment also showed high recall and precision rates.
This paper presents the implementation of ARQ-PROP II, a limited-depth propositional reasoner, via the compilation of its specification into an exact formulation using the satyrus platform. satyrus' compiler takes...
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