With the help of this software, the students have aroused the inner motivation of their own learning, and the enthusiasm of learning has been aroused by the use of cloud classes. I find English courses more and more i...With the help of this software, the students have aroused the inner motivation of their own learning, and the enthusiasm of learning has been aroused by the use of cloud classes. I find English courses more and more interesting.展开更多
The development of information technology leads to a novel approach of the reIorm oI traaluonal msuut;uuu lJiott~,. 1 Llw Flipped Classroom teaching model came into being. As a new teaching mode, Flipped Classroom fac...The development of information technology leads to a novel approach of the reIorm oI traaluonal msuut;uuu lJiott~,. 1 Llw Flipped Classroom teaching model came into being. As a new teaching mode, Flipped Classroom facilitates the reform of education model and innovative talent cultivation. In China, English Linguistics is an important course in English major. However, as to the content is abstract, it is difficult for the students to learn. The students are in a passive role to learn in class. The learning outcome is unsatisfactory. Therefore, it is urgent to change the current situation and adopt new mode.展开更多
Cloud Computing(CC)is the preference of all information technology(IT)organizations as it offers pay-per-use based and flexible services to its users.But the privacy and security become the main hindrances in its achi...Cloud Computing(CC)is the preference of all information technology(IT)organizations as it offers pay-per-use based and flexible services to its users.But the privacy and security become the main hindrances in its achievement due to distributed and open architecture that is prone to intruders.Intrusion Detection System(IDS)refers to one of the commonly utilized system for detecting attacks on cloud.IDS proves to be an effective and promising technique,that identifies malicious activities and known threats by observing traffic data in computers,and warnings are given when such threatswere identified.The current mainstream IDS are assisted with machine learning(ML)but have issues of low detection rates and demanded wide feature engineering.This article devises an Enhanced Coyote Optimization with Deep Learning based Intrusion Detection System for Cloud Security(ECODL-IDSCS)model.The ECODL-IDSCS model initially addresses the class imbalance data problem by the use of Adaptive Synthetic(ADASYN)technique.For detecting and classification of intrusions,long short term memory(LSTM)model is exploited.In addition,ECO algorithm is derived to optimally fine tune the hyperparameters related to the LSTM model to enhance its detection efficiency in the cloud environment.Once the presented ECODL-IDSCS model is tested on benchmark dataset,the experimental results show the promising performance of the ECODL-IDSCS model over the existing IDS models.展开更多
Access control has made a long way from 1960s. With the advent changes of technologies pertaining to location transparency in storage of data, there arises different access control scenarios. Cloud storage, the predom...Access control has made a long way from 1960s. With the advent changes of technologies pertaining to location transparency in storage of data, there arises different access control scenarios. Cloud storage, the predominant storage that is being in use currently, also paves way to various access control problems. Though there are various access control mechanisms such as RBAC, ABAC, they are designed on the user’s perspective such as the role held by the user or other attributes assigned to the user. A new access control mechanism called object relationship based access control (RoBAC) has been developed based on the relations held among the users. The policy decision of access control is based on the relationship among the classes followed in the Java programming. Results have shown that this model best suits various scenarios in the cloud environment, and it also shows that the time for making decision either to allow or to deny is reduced compared to the existing system.展开更多
文摘With the help of this software, the students have aroused the inner motivation of their own learning, and the enthusiasm of learning has been aroused by the use of cloud classes. I find English courses more and more interesting.
文摘The development of information technology leads to a novel approach of the reIorm oI traaluonal msuut;uuu lJiott~,. 1 Llw Flipped Classroom teaching model came into being. As a new teaching mode, Flipped Classroom facilitates the reform of education model and innovative talent cultivation. In China, English Linguistics is an important course in English major. However, as to the content is abstract, it is difficult for the students to learn. The students are in a passive role to learn in class. The learning outcome is unsatisfactory. Therefore, it is urgent to change the current situation and adopt new mode.
基金The Deanship of Scientific Research(DSR)at King Abdulaziz University(KAU),Jeddah,Saudi Arabia has funded this project,under grant no.KEP-1-120-42.
文摘Cloud Computing(CC)is the preference of all information technology(IT)organizations as it offers pay-per-use based and flexible services to its users.But the privacy and security become the main hindrances in its achievement due to distributed and open architecture that is prone to intruders.Intrusion Detection System(IDS)refers to one of the commonly utilized system for detecting attacks on cloud.IDS proves to be an effective and promising technique,that identifies malicious activities and known threats by observing traffic data in computers,and warnings are given when such threatswere identified.The current mainstream IDS are assisted with machine learning(ML)but have issues of low detection rates and demanded wide feature engineering.This article devises an Enhanced Coyote Optimization with Deep Learning based Intrusion Detection System for Cloud Security(ECODL-IDSCS)model.The ECODL-IDSCS model initially addresses the class imbalance data problem by the use of Adaptive Synthetic(ADASYN)technique.For detecting and classification of intrusions,long short term memory(LSTM)model is exploited.In addition,ECO algorithm is derived to optimally fine tune the hyperparameters related to the LSTM model to enhance its detection efficiency in the cloud environment.Once the presented ECODL-IDSCS model is tested on benchmark dataset,the experimental results show the promising performance of the ECODL-IDSCS model over the existing IDS models.
文摘Access control has made a long way from 1960s. With the advent changes of technologies pertaining to location transparency in storage of data, there arises different access control scenarios. Cloud storage, the predominant storage that is being in use currently, also paves way to various access control problems. Though there are various access control mechanisms such as RBAC, ABAC, they are designed on the user’s perspective such as the role held by the user or other attributes assigned to the user. A new access control mechanism called object relationship based access control (RoBAC) has been developed based on the relations held among the users. The policy decision of access control is based on the relationship among the classes followed in the Java programming. Results have shown that this model best suits various scenarios in the cloud environment, and it also shows that the time for making decision either to allow or to deny is reduced compared to the existing system.
