software-defined networking(sDN),a novel network paradigm,separates the control plane and data plane into dif-ferent network equipment to realize the flexible control of network *** excellent programmability and globa...
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software-defined networking(sDN),a novel network paradigm,separates the control plane and data plane into dif-ferent network equipment to realize the flexible control of network *** excellent programmability and global view present many new *** detection under the sDN context is an important and challenging research *** previous works attempted to collect and analyze statistics related to flows,usually recorded in switches,to address DDos *** contrast,other works applied machine learning-basedsolutions to identify DDos and achieved promising ***,most previous works need to periodically request flow rules or packets to obtain flow statistics or features to detect stealthy ***,the request for flow rules is very time-consuming and CPU-consuming;moreover may congest the communication channel between the controller and the ***,we present FORT,a lightweight DDos detection scheme,which spreads the rule-based detection algorithm at edge switches and determines whether to start it by periodically retrieving the portsstate.A time-series algorithm,ARIMA,is utilized to determine the port statistics adaptively,and an sVM algorithm is applied to detect whether a DDos attack does *** experiments demonstrate that FORT can significantly reduce the controller load and provide a reliable detection *** to the false alarm rate of 1.24%in the comparison scheme,the false alarm rate of thisscheme is only 0.039%,which significantly reduces the probability of false ***,by introducing the alarm mechanism,thisscheme can reduce the load of the southbound chan-nel by more than 60%in the normal state.
Health is an indispensable part of human life, but we realize its importance when we face health issues. Technology can play an important role in the healthcare sector. During the COVID-19 pandemic, many countries use...
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In this paper, we propose an efficient method to segment the leaves and count the number of leaves in digital plant images, important tasks in plant phenotyping. However, for large cropping lands, automated leaf count...
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Traditional fine-grained access control methods for sensitive data are vulnerable to the impact of access filtering assumptions, and the algorithm has a high Time complexity. Therefore, design a fine-grained sensitive...
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This paper builds on traditional Chinese medicine theory and deep learning techniques, integrating classical acupoint localization methods with a modern computational approach. Thisstudy addresses the prevalent inacc...
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In the framework of the factorization approach we calculate the branching fractions of 100 two-body nonleptonic decay channels in total,including 44 channels of the charm meson decays and 56 channels of the bottom mes...
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In the framework of the factorization approach we calculate the branching fractions of 100 two-body nonleptonic decay channels in total,including 44 channels of the charm meson decays and 56 channels of the bottom meson *** charm meson decays,we test and confirm the previous observation that taking the limit for the number of colors N→∞significantly improves theoretical *** bottom meson decays,the penguin contributions are included in *** an essential input,we employ the weak decay form factors obtained in the framework of the relativistic quark model based on the quasi-potential *** form factors have well been tested by calculating observables in the semileptonic D and B meson decays and confronting obtained results with experimental *** general,the predictions for the nonleptonic decay branching fractions are ***,for a quantitative calculation it is necessary to account for a more subtle effects of the final-state interaction.
This paper presents an efficient and stable vector-form finite element discrete analysis grid method, which can directly input the grid management with external characteristics for complex three-dimensional graphics. ...
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Accurate estimation of cropping intensity is crucial for agriculture production, land management, and food security. Traditional land surveys and remote sensing techniques are often constrained by time and space limit...
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In the related research of traditional wind speed prediction models, experts and scholars at home and abroad have proposed many models and methods, and these models and methods generally have certain problems. Therefo...
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The exponential expansion of computer networks and the internet makes it clear that there is a chance of being attacked and harmed. In the meantime, one of the most crucial defensive measures against the more complex ...
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