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Towards a stochastic model for integrated detection and filtering of DoS attacks in cloud environments 17

Towards a stochastic model for integrated detection and filt...

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2nd international Conference on Big Data Cloud and applications, BDCA 2017

作者： El Mir, Iman Kim, Dong Seong Haqiq, Abdelkrim Computer Networks Mobility and Modeling Laboratory Faculty of Sciences and Technology Hassan 1st Univ Morocco Department of Computer Science and Software Engineering University of Canterbury New Zealand

ISBN: (纸本)9781450348522

Cloud Data Center (CDC) security remains a major challenge for business organizations and takes an important concern with research works. The attacker purpose is to guarantee the service unavailability and maximize the financial loss costs. As a result, distributed Denial of Service (DDoS) attacks have appeared as the most popular attack. The main aim of such attacks is to saturate and overload the system network through a massive data packets size flooding toward a victim server and to block the service to users. This paper provides a defending system in order to mitigate the Denial of Service (DoS) attack in CDC environment. Basically it outlines the different techniques of DoS attacks and its countermeasures by combining the filtering and detection mechanisms. We presented an analytical model based on queueing model to evaluate the impact of flooding attack on cloud environment regarding service availability and QoS performance. Consequently, we have plotted the response time, throughput, drop rate and resource computing utilization varying the attack arrival rate. We have used JMT (Java Modeling Tool) simulator to validate the analytical model. Our approach was appeared powerful for attacks mitigation in the cloud environment. © 2017 ACM.

关键词： Queueing theory

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Reducing the Power Consumption of Matrix Multiplications by Vectorization 19

Reducing the Power Consumption of Matrix Multiplications by ...

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19th IEEE international Conference on Computational science and engineering, 14th IEEE international Conference on Embedded and Ubiquitous computing and 15th international symposium on distributed computing and applications to business, engineering and science, CSE-EUC-DCABES 2016

作者： Jakobs, Thomas Hofmann, Michael Rünger, Gudula Technische Universität Chemnitz Department of Computer Science Professorship of Practical Computer Science Germany

ISBN: (纸本)9781509035939

The power consumption of programs and algorithms is currently a very active research field. This includes the investigation of the effect of different programming techniques on power consumption. Some programming techniques have already been studied intensively. However, there are techniques that did not get as much attention as needed so far. One of these techniques is the vectorization of programs, which uses special operations to calculate several data in one step. In this article, we investigate the effect of vectorization on the power consumption and study several program versions of dense matrix multiplication which combine vectorization with other techniques, such as loop unrolling or compiler options. We show that the use of vectorization is not only capable of improving the performance but can also reduce the power and energy consumption of programs. © 2016 IEEE.

关键词： Energy efficiency

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Ham-Spam Filtering Using Different PCA Scenarios 19

Ham-Spam Filtering Using Different PCA Scenarios

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作者： Dagher, Issam Antoun, Rima University of Balamand Dept. of Computer Engineering Elkoura Lebanon

ISBN: (纸本)9781509035939

The objective of this paper is to discuss different scenarios for Principal Component Analysis classifier implemented for email filtering process (Ham vs. spam emails). The study highlights on the variation of the accuracy of these classifiers with respect to the variation in feature preprocessing. Four scenarios were considered: Scenario 1: Ham and Spam classes are represented with different features. Scenario 2: Ham and Spam classes are represented with same features. Scenario 3: Ham and Spam classes are represented with common terms. Scenario 4: Ham and Spam classes are represented with common Features and Characteristic terms. Different experiments were done using a public corpus extracted from the University of California-Irvine Machine Learning Repository. Different training and test sets were used. A comparison with Support Vector Machine and Bayes detector was done to prove its superior behavior. © 2016 IEEE.

关键词： Principal component analysis

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Phishing Emails Detection Using CS-SVM

Phishing Emails Detection Using CS-SVM

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IEEE international symposium on Parallel and distributed Processing with applications and IEEE international Conference on Ubiquitous computing and Communications (ISPA/IUCC)

作者： Weina Niu Xiaosong Zhang Guowu Yang Zhiyuan Ma Zhongliu Zhuo UESTC Center for Cyber Security University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9781538637913

Phishing attacks are common online, which have resulted in financial losses through using either malware or social engineering. Thus, phishing email detection with high accuracy has been an issue of great interest. Machine learning-based detection methods, particularly Support Vector Machine (SVM), have been proved to be effective. However, the parameters of kernel method, whose default is that class numbers reciprocals in general, affect the classification accuracy of SVM. In order to improve the classification accuracy, this paper proposes a model, called Cuckoo Search SVM(CS-SVM). The CS-SVM extracts 23 features, which are used to construct the hybrid classifier. In the hybrid classifier, Cuckoo Search (CS) is integrated with SVM to optimize parameter selection of Radial Basis Function(RBF). Experiments are performed on a dataset consisting of 1,384 phishing emails and 20,071 non-phishing emails. Experimental results show that the proposed method has higher phishing email detection accuracy than SVM classifier with default parameter value. The CS-SVM classifier can obtain the highest accuracy of 99.52 percent.

关键词： Electronic mail Phishing Feature extraction Uniform resource locators Support vector machines Kernel Training

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Multiple Models Adaptive Predictive Control based on PSO Algorithm

Multiple Models Adaptive Predictive Control based on PSO Alg...

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2017 16th international symposium on distributed computing and applications to business,engineering and science（DCABES 2017）

作者： LIU Gui-ying QU Li-ping LI Yun-feng Electrical Information Engineering College Beihua University

In terms of the characteristics of time lag system,the method of multiple models adaptive predictive control based on particle swarm optimization(PSO) algorithm is *** Models can approach the dynamic character of the controlled *** can design corresponding controller to each *** can get final controlled variable with the limited controlled variable by means of *** controller adopts Predictive Control *** last the method gets the global optimum by PSO *** compare the method to PID in time lag *** result indicates the method not only can overcome inaccuracy of modeling and time variation of parameters but also has good control performance and stronger robustness.

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An Efficient Scalable Parallelized Version of the Mondrian Algorithm 19

An Efficient Scalable Parallelized Version of the Mondrian A...

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作者： Christoforidis, John Dasygenis, Minas Department of Informatics and Telecommunications Engineering Kozani Greece

ISBN: (纸本)9781509035939

In the era of the internet of things and full database interconnectivity, various sensitive information is gathered, stored and processed for every individual from many companies. Sometimes these datasets are made available to selected groups or to the internet users for further processing, yielding the term opened-data. However, if the dataset is not properly anonymized then sensitive information can be extracted, re-constructed and linked to every individual, raising the alarm on privacy issues. Thus, the protection of the privacy is a very important issue. Amongst the various techniques, K-anonymity is an efficient method to protect privacy in micro-data publishing. One of the implementations of the K-anonymity is the Mondrian algorithm, but it bears high computational and memory requirements. Here, we present our novel optimized multithreaded version of the Mondrian algorithm, which carries a linear speedup and can effectively scale up, exploiting the resources of a modern data center. © 2016 IEEE.

关键词： Sensitive data

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An Online Tool to Design Highly Parametrized Optimized Encoders and Decoders 19

An Online Tool to Design Highly Parametrized Optimized Encod...

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作者： Dasygenis, Minas Department of Informatics and Telecommunications Engineering University of Western Macedonia Kozani50100 Greece

ISBN: (纸本)9781509035939

The rising complexity of embedded digital applications and the growing importance of time-to-market require powerful modeling methods and tools to automate the design and implementation process. Electronic design automation (EDA) tools provide the required assistance to every design team, increasing its efficiency and helping meet the hard time to market constraints. Encoders and decoders are an essential module of every programmable architecture. Even though there are EDA tools to generate intellectual property (IP) blocks for many circuits, to the best of our knowledge, there are no tools to design IP blocks of such modules. We noticed this absence and we designed a tool to create verified and optimized HDL description of such circuits and furthermore, we have made it available via our public web server. Our IP blocks are vendor neutral and can be synthesized either on ASIC or on FPGA. Our synthesized circuits on Xilinx Virtex 6 FPGA, operate up to 762 Mhz. © 2016 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Energy Consumption Measurements as a Basis for Computational Offloading for Android Smartphones 19

Energy Consumption Measurements as a Basis for Computational...

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作者： Nguyen, Quang-Huy Blobel, Johannes Dressler, Falko Dept. of Computer Science Heinz Nixdorf Institute Paderborn University Germany

ISBN: (纸本)9781509035939

Computational offloading has been shown being a promising approach to prolong the battery life of smartphones. To come up with energy-efficient offloading strategies, it is crucial to understand how much energy is used not only for local computation but also for network communication. Therefore, reliable methods to measure the energy consumption of the phones are needed as a fundamental basis. In this paper, we evaluate the accuracy of the Android smart battery interface. As a second contribution, we also designed a new, portable and cheap microcontroller-based power monitoring device. We conduct energy measurement experiments for a set of typical applications including local computations as well as WiFi and 3G operations. Our results show that both our device and smart battery interface can be used to estimate the energy consumed by the applications running on the phone. The smart battery interface, however, clearly underestimates in idle status. We see our measurements as an important step towards the development of more accurate offloading strategies for smartphones. © 2016 IEEE.

关键词： Smartphones

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Design and Implementation of parallel XDraw algorithm based on triangle region division

Design and Implementation of parallel XDraw algorithm based ...

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2017 16th international symposium on distributed computing and applications to business,engineering and science（DCABES 2017）

作者： Ya-nan Li Wang-feng Dou Yan-li Wang School of Computer Science and Technology Nanjing Normal University

Terrain viewshed analysis is the basis of studying on the terrain applications such as observation point siting and shortest path *** the rapid development of digital photogrammetry and remote sensing,at the time of getting large scale terrain data,it also puts forward higher requirements for the efficiency and method of the viewshed *** this paper,a parallel XDraw viewshed analysis algorithm is proposed on the process and *** algorithm presents a fine-grained data scheduling strategy between different ***,it divides DEM terrain data into a lot of triangular ***,the algorithm schedules the data with a triangular region in row or column as a thread and calculates the visibility of each grid unit on a row or *** results show that the proposed method can greatly improve the computational efficiency comparing with other existing methods.

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The Busier We Are,the More We Buy the Role of Time Pressure in Mobile Shopping

The Busier We Are,the More We Buy the Role of Time Pressure ...

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2017 16th international symposium on distributed computing and applications to business,engineering and science（DCABES 2017）

作者： Gong Feng Liu Mengwei Economics and Management Dept.Zhixing College Hubei University Marketing School of Business Administration Zhongnan University of Economics and Law

Mobile shopping is defined as "the use of the wireless Internet service for shopping activities via a mobile device." Based on TAM Technology Acceptance Model and CRT(Cognitive Resource Theory),this study investigated how time pressure influenced consumers' mobile shopping *** was found that(1) time pressure positively affects mobile shopping intention,(2) access convenience,search convenience and transaction convenience mediates the influence of time pressure on mobile shopping intention,(3) the mediating effect of postpurchase convenience on the relationship between time pressure and mobile shopping intention is not *** theoretical and managerial implications are derived from these findings.

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