The virtual machine (VM) based introspection on the operating system (OS) holds predominance over previous host-based introspectors for being more resistant to attack while suffering the difficulty of retrieving the semantic view of the OS. Previous approaches addressing this limitation highly depend on the explicit guest information which is still subvertable to the privileged malware. Moreover, they only deal with the OS deployed in the VM instead of our daily used native OS. In this paper, we present a new VM-based introspecting approach called Pisces which accurately reproduces the execution environment of the underlying preinstalled OS within the Pisces VM and provides an OS-level semantic view. With our novel local-booting virtualization technology, Pisces VM just boots from the underlying host OS but not a newly installed OS image. Thus, Pisces provides a feasible way to introspect on the existing OS. In addition, instead of relying on the explicit guest information, Pisces adopts a set of unique techniques to implicitly construct the semantic view of the OS from within the virtualized hardware layer. The evaluation results demonstrate its practicality and effectiveness.
{"title":"Towards Implicitly Introspecting the Preinstalled Operating System with Local-Booting Virtualization Technology","authors":"Yan Wen, Jinjing Zhao, Hua Chen, Minhuan Huang","doi":"10.1109/DASC.2013.34","DOIUrl":"https://doi.org/10.1109/DASC.2013.34","url":null,"abstract":"The virtual machine (VM) based introspection on the operating system (OS) holds predominance over previous host-based introspectors for being more resistant to attack while suffering the difficulty of retrieving the semantic view of the OS. Previous approaches addressing this limitation highly depend on the explicit guest information which is still subvertable to the privileged malware. Moreover, they only deal with the OS deployed in the VM instead of our daily used native OS. In this paper, we present a new VM-based introspecting approach called Pisces which accurately reproduces the execution environment of the underlying preinstalled OS within the Pisces VM and provides an OS-level semantic view. With our novel local-booting virtualization technology, Pisces VM just boots from the underlying host OS but not a newly installed OS image. Thus, Pisces provides a feasible way to introspect on the existing OS. In addition, instead of relying on the explicit guest information, Pisces adopts a set of unique techniques to implicitly construct the semantic view of the OS from within the virtualized hardware layer. The evaluation results demonstrate its practicality and effectiveness.","PeriodicalId":179557,"journal":{"name":"2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125995782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the traditional network, TCP protocol is used to realize the reliable transmission and network congest control to release the network congestion. In the wireless network, TCP Veno is better than traditional TCP. This paper proposes an improved congest control protocol based on the TCP Veno protocol to improve the network performance by means of bandwidth prediction and dynamic window size adjust(BPDW). And through the math model and simulator experiments, it proves that the BPDW improves the throughput of network and increase the network efficiency.
{"title":"An Improved Congest Control Protocol Based on TCP Veno Protocol","authors":"Jianlin Zhang","doi":"10.1109/DASC.2013.142","DOIUrl":"https://doi.org/10.1109/DASC.2013.142","url":null,"abstract":"In the traditional network, TCP protocol is used to realize the reliable transmission and network congest control to release the network congestion. In the wireless network, TCP Veno is better than traditional TCP. This paper proposes an improved congest control protocol based on the TCP Veno protocol to improve the network performance by means of bandwidth prediction and dynamic window size adjust(BPDW). And through the math model and simulator experiments, it proves that the BPDW improves the throughput of network and increase the network efficiency.","PeriodicalId":179557,"journal":{"name":"2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122361112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
As the indoor location-based services are widely used in daily life, we all call for precise localization and low energy consumption application. Besides, getting location information in a short response time remains a problem in indoor navigation. In this paper, we present an accurate and efficient indoor navigation system called AENS, which only needs available sensors in off-the-shelf smartphones such as accelerometer and gyroscope, completely avoid using energy hungry WiFi module. Combined with simple local map information, AENS is able to guide user to find destinations. The System utilizes those sensors to do Dead-Reckoning dynamically and in real-time, then fitting the predicted trajectories to the map information. We evaluate the system in our university library. The result shows that AENS successfully guides the tester to the specified destination, and for every critical node the average localization error is within one-meter.
{"title":"AENS: Accurate and Efficient Mobile Phone Indoor Navigation System without WiFi","authors":"Zhiyuan Xu, Ruijin Wang, Fan Li, Yaodong Huang","doi":"10.1109/DASC.2013.33","DOIUrl":"https://doi.org/10.1109/DASC.2013.33","url":null,"abstract":"As the indoor location-based services are widely used in daily life, we all call for precise localization and low energy consumption application. Besides, getting location information in a short response time remains a problem in indoor navigation. In this paper, we present an accurate and efficient indoor navigation system called AENS, which only needs available sensors in off-the-shelf smartphones such as accelerometer and gyroscope, completely avoid using energy hungry WiFi module. Combined with simple local map information, AENS is able to guide user to find destinations. The System utilizes those sensors to do Dead-Reckoning dynamically and in real-time, then fitting the predicted trajectories to the map information. We evaluate the system in our university library. The result shows that AENS successfully guides the tester to the specified destination, and for every critical node the average localization error is within one-meter.","PeriodicalId":179557,"journal":{"name":"2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126195882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
When CATIA is used to design contour in terrain, 2D contour obtained by CATIA internal mechanism is formed of a set of line segments rather than a polyline. Therefore, the result is extreme inconvenience to select and edit the object in context design. In order to solve this problem, an improved 2D drafting method of contour is proposed in this article. In this method, a linear linked list is used to store and recombine the original data of contour, and an optimization strategy based on nodes alignment and connection is proposed to deal with data redundancy of the linear linked list. At last, the method is developed by CAA (Component Application Architecture) development tools of CATIA software. And experiment shows that the proposed method can meet the demand of 2D contour drafting in CATIA software.
{"title":"An Improved 2D Drafting Method of Contour in CATIA","authors":"Liyong Fang, Haihuang Zhang, Hui Li","doi":"10.1109/DASC.2013.138","DOIUrl":"https://doi.org/10.1109/DASC.2013.138","url":null,"abstract":"When CATIA is used to design contour in terrain, 2D contour obtained by CATIA internal mechanism is formed of a set of line segments rather than a polyline. Therefore, the result is extreme inconvenience to select and edit the object in context design. In order to solve this problem, an improved 2D drafting method of contour is proposed in this article. In this method, a linear linked list is used to store and recombine the original data of contour, and an optimization strategy based on nodes alignment and connection is proposed to deal with data redundancy of the linear linked list. At last, the method is developed by CAA (Component Application Architecture) development tools of CATIA software. And experiment shows that the proposed method can meet the demand of 2D contour drafting in CATIA software.","PeriodicalId":179557,"journal":{"name":"2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115448494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Modern science is increasingly data-driven and collaborative in nature. Comparing to ordinary data processing, big data processing that is mixed with great missing date must be processed rapidly. Considering this requirement this paper proposes a dynamic perception rule acquirement algorithm to implement fast and accurate information decision supporting model for incomplete data. It is inevitable that information contains incomplete data, and huge information being processing require fast algorithm to complete knowledge extraction. The method based on dynamic perception rule can achieve automatic analysis and intelligent cognition for the information decision supporting. Based on direction of maximum entropy at any moment, the perception rule can improve the recognition rate. Furthermore the dynamic perception rule adopts the tolerant relation to accommodate the incomplete data processing capability. The simulative analysis of diesel engine fault shows that the dynamic perception rule can achieve fast information decision supporting and the accuracy is certainly improved even for incomplete data.
{"title":"Dynamic Perception Rule Acquirement for Incomplete Data","authors":"Haitao Jia, Jian Li, Mei Xie","doi":"10.1109/DASC.2013.100","DOIUrl":"https://doi.org/10.1109/DASC.2013.100","url":null,"abstract":"Modern science is increasingly data-driven and collaborative in nature. Comparing to ordinary data processing, big data processing that is mixed with great missing date must be processed rapidly. Considering this requirement this paper proposes a dynamic perception rule acquirement algorithm to implement fast and accurate information decision supporting model for incomplete data. It is inevitable that information contains incomplete data, and huge information being processing require fast algorithm to complete knowledge extraction. The method based on dynamic perception rule can achieve automatic analysis and intelligent cognition for the information decision supporting. Based on direction of maximum entropy at any moment, the perception rule can improve the recognition rate. Furthermore the dynamic perception rule adopts the tolerant relation to accommodate the incomplete data processing capability. The simulative analysis of diesel engine fault shows that the dynamic perception rule can achieve fast information decision supporting and the accuracy is certainly improved even for incomplete data.","PeriodicalId":179557,"journal":{"name":"2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131098006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Multi Density DBSCAN (Density Based Spatial Clustering of Application with Noise) is an excellent density-based clustering algorithm, which extends DBSCAN algorithm so as to be able to discover the different densities clusters, and retains the advantage of separating noise and finding arbitrary shape clusters. But, because of great memory demand and low calculation efficiency, Multi Density DBSCAN can't deal with large database. Therefore, GCMDDBSCAN is proposed in this paper, and within it 'migration-coefficient' conception is introduced firstly. In GCMDDBSCAN, with the grid technique, the optimization effect of contribution and migration-coefficient, and the efficient SP-tree query index, the runtime is reduced a lot, and the capability of clustering large database is obviously enhanced, at the same time, the accuracy of clustering result is not degraded.
Multi Density DBSCAN (Density Based Spatial Clustering of Application with Noise)是一种优秀的基于密度的聚类算法，它对DBSCAN算法进行了扩展，可以发现不同密度的聚类，同时保留了分离噪声和发现任意形状聚类的优点。但是，由于内存需求大和计算效率低，Multi - Density DBSCAN无法处理大型数据库。因此，本文提出了GCMDDBSCAN，并在其中首先引入了“迁移系数”的概念。在GCMDDBSCAN中，利用网格技术、贡献系数和迁移系数的优化效果以及高效的sp树查询索引，大大减少了运行时间，明显增强了大型数据库的聚类能力，同时不降低聚类结果的准确性。
{"title":"GCMDDBSCAN: Multi-density DBSCAN Based on Grid and Contribution","authors":"Linmeng Zhang, Zhigao Xu, Fengqi Si","doi":"10.1109/DASC.2013.115","DOIUrl":"https://doi.org/10.1109/DASC.2013.115","url":null,"abstract":"Multi Density DBSCAN (Density Based Spatial Clustering of Application with Noise) is an excellent density-based clustering algorithm, which extends DBSCAN algorithm so as to be able to discover the different densities clusters, and retains the advantage of separating noise and finding arbitrary shape clusters. But, because of great memory demand and low calculation efficiency, Multi Density DBSCAN can't deal with large database. Therefore, GCMDDBSCAN is proposed in this paper, and within it 'migration-coefficient' conception is introduced firstly. In GCMDDBSCAN, with the grid technique, the optimization effect of contribution and migration-coefficient, and the efficient SP-tree query index, the runtime is reduced a lot, and the capability of clustering large database is obviously enhanced, at the same time, the accuracy of clustering result is not degraded.","PeriodicalId":179557,"journal":{"name":"2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126827042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zhuangliang Wu, Wenhua Zeng, Lvqing Yang, Yue Li, Meihong Wang
Google Maps is an excellent GIS (Geographic Information System) product, but its visual effect is unsatisfactory under the specific environment. As is known to all, visualization is an important aspect to evaluate the quality of electronic map. Firstly, we analyze factors of visual effect in the paper. Combining implementation mechanisms of RFID (Radio Frequency Identification Devices) and Google Maps, we designed the system of electronic map which owns a reasonable amount of displayed information, beautiful legends and fast reaction rate. After that, we made an example to verify the effectiveness of the system's performance.
Google Maps是一款优秀的GIS (Geographic Information System)产品，但在特定的环境下，其视觉效果却不尽人意。众所周知，可视化是评价电子地图质量的一个重要方面。本文首先分析了视觉效果的影响因素。结合RFID (Radio Frequency Identification Devices)和Google Maps的实现机制，设计了显示信息量合理、图例美观、反应速度快的电子地图系统。在此基础上，通过实例验证了系统性能的有效性。
{"title":"Analysis and Design of Electronic Map Based on RFID and Google Maps","authors":"Zhuangliang Wu, Wenhua Zeng, Lvqing Yang, Yue Li, Meihong Wang","doi":"10.1109/DASC.2013.84","DOIUrl":"https://doi.org/10.1109/DASC.2013.84","url":null,"abstract":"Google Maps is an excellent GIS (Geographic Information System) product, but its visual effect is unsatisfactory under the specific environment. As is known to all, visualization is an important aspect to evaluate the quality of electronic map. Firstly, we analyze factors of visual effect in the paper. Combining implementation mechanisms of RFID (Radio Frequency Identification Devices) and Google Maps, we designed the system of electronic map which owns a reasonable amount of displayed information, beautiful legends and fast reaction rate. After that, we made an example to verify the effectiveness of the system's performance.","PeriodicalId":179557,"journal":{"name":"2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128194906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, Optimal Fuzzy Logic Control based on particle swarm optimization is proposed to reduce frequency deviations in PV-Diesel hybrid system. The proposed method supposes that the controlled output power of PV can conditioning the quality of power system in isolated grid. The Fuzzy Logic Controller has two inputs of change of isolation power and frequency deviation. The complete system model with Fuzzy Logic Controller has simulated used MATLAB/SIMULINK linked with M-file/ MATLAB which has an optimization algorithm to optimize the shape of triangle memberships. The simulation results show the effectiveness of Optimal Fuzzy Logic Controller OFLC to reduce the frequency deviation compared with other controller without optimization.
{"title":"Frequency Control of PV-Diesel Hybrid Power System Using Optimal Fuzzy Logic Controller","authors":"Bashar Sakeen, Nasseer K. Bachache, Shaorong Wang","doi":"10.1109/DASC.2013.58","DOIUrl":"https://doi.org/10.1109/DASC.2013.58","url":null,"abstract":"In this paper, Optimal Fuzzy Logic Control based on particle swarm optimization is proposed to reduce frequency deviations in PV-Diesel hybrid system. The proposed method supposes that the controlled output power of PV can conditioning the quality of power system in isolated grid. The Fuzzy Logic Controller has two inputs of change of isolation power and frequency deviation. The complete system model with Fuzzy Logic Controller has simulated used MATLAB/SIMULINK linked with M-file/ MATLAB which has an optimization algorithm to optimize the shape of triangle memberships. The simulation results show the effectiveness of Optimal Fuzzy Logic Controller OFLC to reduce the frequency deviation compared with other controller without optimization.","PeriodicalId":179557,"journal":{"name":"2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing","volume":"169 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114834229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wei-Ting Cho, Lien-Chun Wang, Y. Chiu, Chin-Feng Lai
In recent years, the major Smart Grid problem is that users are unable to determine the usage conditions of electronic appliances at home, hence, users, network service developers, and service providers are all hesitant to use or provide services. In order to provide specific power utilization information, effective recognition of the type of appliances is a topical subject. At present, most studies on appliance recognition focus on single appliance recognition, however, in most homes, users switch multiple appliances on and off at the same time. Thus, a database is required for multiple recognition features in order to achieve multiple appliance recognition. This study aims to explore methods to create samples for recognition, reduce the amount of computation, and make it applicable for the operation of embedded systems with a small amount of computation. This study creates a database mechanism, appliance recognition classification, and a waveform recognition method, in order to solve the large data volume problem in current appliance recognition systems.
{"title":"A Lightweight Appliance Recognition Approach for Smart Grid","authors":"Wei-Ting Cho, Lien-Chun Wang, Y. Chiu, Chin-Feng Lai","doi":"10.1109/DASC.2013.109","DOIUrl":"https://doi.org/10.1109/DASC.2013.109","url":null,"abstract":"In recent years, the major Smart Grid problem is that users are unable to determine the usage conditions of electronic appliances at home, hence, users, network service developers, and service providers are all hesitant to use or provide services. In order to provide specific power utilization information, effective recognition of the type of appliances is a topical subject. At present, most studies on appliance recognition focus on single appliance recognition, however, in most homes, users switch multiple appliances on and off at the same time. Thus, a database is required for multiple recognition features in order to achieve multiple appliance recognition. This study aims to explore methods to create samples for recognition, reduce the amount of computation, and make it applicable for the operation of embedded systems with a small amount of computation. This study creates a database mechanism, appliance recognition classification, and a waveform recognition method, in order to solve the large data volume problem in current appliance recognition systems.","PeriodicalId":179557,"journal":{"name":"2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122179336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Magnetotelluric takes natural electromagnetic as field source to study the earth interior electrical structures. The observations are easy to be interfered by power line interference, so this paper designed a convenience and effective notch filter which could eliminate all of the high-order harmonics within the sampling rate. The notch filter was achieved by interpolation for band-stop filter and different interpolation could meet different trap frequency. After finishing the target notch filter, a series of simulation experiment and the practical test were conducted and the results shown that this notch filter could remove the power line interference effectively and could greatly improve the signal to noise ratio.
{"title":"The Research and Realization of Digital Power Line Interference Filter in Magnetotelluric","authors":"Ge Shuangchao, Mingfa Deng, Chen Kai","doi":"10.1109/DASC.2013.41","DOIUrl":"https://doi.org/10.1109/DASC.2013.41","url":null,"abstract":"Magnetotelluric takes natural electromagnetic as field source to study the earth interior electrical structures. The observations are easy to be interfered by power line interference, so this paper designed a convenience and effective notch filter which could eliminate all of the high-order harmonics within the sampling rate. The notch filter was achieved by interpolation for band-stop filter and different interpolation could meet different trap frequency. After finishing the target notch filter, a series of simulation experiment and the practical test were conducted and the results shown that this notch filter could remove the power line interference effectively and could greatly improve the signal to noise ratio.","PeriodicalId":179557,"journal":{"name":"2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116676028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：