321 research outputs found
Versatile virtual honeynet management framework
Honeypots are designed to investigate malicious behavior. Each type of homogeneous honeypot system has its own
characteristics in respect of specific security functionality, and also suffers functional drawbacks that restrict its application scenario. In practical scenarios, therefore, security researchers always need to apply heterogeneous honeypots to cope with different attacks. However, there is a lack of general tools or platforms that can support versatile honeynet deployment in order to investigate the malicious behavior. In this study, the authors propose a versatile virtual honeynet management tool to address this problem. It is a flexible tool that offers security researchers the versatility to deploy various types of honeypots. It can also generate and manage the virtual honeynet through a dynamic configuration approach adapting to the mutable network environment. The experimental results demonstrate that this tool is effective to perform automated honeynet deployment toward a variety of heterogeneous honeypots
Three-state disk model for high quality and energy efficient streaming media servers
Energy conservation and emission reduction is an
increasingly prominent and global issue in green computing.
Among the various components of a streaming media server, the storage system is the biggest power consumer. In this paper, a Three-State Disk Model (3SDM) is proposed to conserve energy for streaming media servers without losing quality. According to the load threshold, the disks are dynamically divided into three states: overload, normal and standby. With the requests arriving and departing, the disk state transition among these three states. The purpose of 3SDM is to skew the load among the disks to achieve high quality and energy efficiency for streaming media applications. The load of disks in overload state will move to disks in normal state to improve the quality of service (QoS) level. The load of disks in normal state will be packed together to switch some disks into standby state to save energy. The key problem here is to identify the blocks that need migrating among disks. A sliding window replacement (SWR) algorithm is developed for this purpose, which calculates the block weight based on the request frequency falling within the window of a block. Employing a validated simulator, this paper evaluates the SWR algorithm for conventional disks based on the proposed 3SDM model. The results show that this scheme is able to yield energy efficient streaming media servers
Taxonomy of honeynet solutions
Honeynet research has become more important as a way to overcome the limitations imposed by the use of individual honeypots. A honeynet can be defined as a network of honeypots following certain topology. Although there are at present many existing honeynet solutions, no taxonomies have been proposed in order to classify them. In this paper, we propose such taxonomy, identifying the main criteria used for its classification and applying the classification scheme to some of the existing honeynet solutions, in order to quickly get a clear outline of the honeynet architecture and gain insight of the honeynet technology. The analysis of the classification scheme of the taxonomy allows getting an overview of the advantages and disadvantages of each criterion value. We later use this analysis to explore the design space of honeynet solutions for the proposal of a future optimized honeynet solution
Priori information and sliding window based prediction algorithm for energy-efficient storage systems in cloud
One of the major challenges in cloud computing and data centers is the energy conservation and emission reduction. Accurate prediction algorithms are essential for building energy efficient storage systems in cloud computing. In this paper, we first propose a Three-State Disk Model (3SDM), which can describe the service quality and energy consumption states of a storage system accurately. Based on this model, we develop a method for achieving energy conservation without losing quality by skewing the workload among the disks to transmit the disk states of a storage system. The efficiency of this method is
highly dependent on the accuracy of the information predicting the blocks to be accessed and the blocks not be accessed in the near future. We develop a priori information and sliding window based prediction (PISWP) algorithm by taking advantage of the priori information about human behavior and selecting suitable size of sliding window. The PISWP method targets at streaming media applications, but we also check its efficiency on other two applications, news in webpage and new tool released. Disksim, an established storage system simulator, is applied in our experiments to verify the effect of our method for various users’ traces. The results show that this prediction method can bring a high degree energy saving for storage systems in cloud computing environment
The Development of Preschool Education Achievements, Problems and Policy Recommendations of Tibet
This paper shows the development of preschool education in Tibet through analyzing the statistical data from Statistical Yearbook of National Education, Statistical Yearbook of National Education Funding and Statistical Yearbook of Tibet and field investigations. It is found that the preschool education in Tibet has developed rapidly for the support of government, and achieved the following development effectiveness: education resources have increased; preschool education funding increased rapidly; the development tends to be balanced between urban and rural areas; bilingual education developed rapidly, and more attention is paid to education equality. However, there are still many problems to be solved in the future. The study has indicated that the quality of preschool education in ethnic areas is low, the local government does not play an active role in developing preschool education and the preschool education is unsuitable for local features. Therefore, more attention should be paid to the preschool education in ethnic areas as well as to the quality of the quantity and the theory researches. The government should also develop the bilingual education in Tibetan scientifically.
Scenario Analyses of Land Use Conversion in the North China Plain: An Econometric Approach
Scenario analysis and dynamic prediction of land use structure which involve many driving factors are helpful to investigate the mechanism of land use changes and even to optimize land use allocation for sustainable development. In this study, land use structure changes during 1988–2010 in North China Plain were discerned and the effects of various natural and socioeconomic driving factors on land use structure changes were quantitatively analyzed based on an econometric model. The key drivers of land use structure changes in the model are county-level net returns of land resource. In this research, we modified the net returns of each land use type for three scenarios, including business as usual (BAU) scenario, rapid economic growth (REG) scenario, and coordinated environmental sustainability (CES) scenario. The simulation results showed that, under different scenarios, future land use structures were different due to the competition among various land use types. The land use structure changes in North China Plain in the 40-year future will experience a transfer from cultivated land to built-up area, an increase of forestry, and decrease of grassland. The research will provide some significant references for land use management and planning in the study area
A Vibration Control Method for the Flexible Arm Based on Energy Migration
A vibration control method based on energy migration is proposed to decrease vibration response of the flexible arm undergoing rigid motion. A type of vibration absorber is suggested and gives rise to the inertial coupling between the modes of the flexible arm and the absorber. By analyzing 1 : 2 internal resonance, it is proved that the internal resonance can be successfully created and the exchange of vibration energy is existent. Due to the inertial coupling, the damping enhancement effect is revealed. Via the inertial coupling, vibration energy of the flexible arm can be dissipated by not only the damping of the vibration absorber but also its own enhanced damping, thereby effectively decreasing vibration. Through numerical simulations and analyses, it is proven that this method is feasible in controlling nonlinear vibration of the flexible arm undergoing rigid motion
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