2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA)最新文献_第9页

Comparison of IoT Constrained Devices Operating Systems: A Survey 物联网受限设备操作系统的比较:调查

2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2017-10-01 DOI: 10.1109/AICCSA.2017.187

Challouf Sabri, L. Kriaa, L. Saïdane

引用次数: 25

End to End Cloud Computing Architecture Based on A Novel Classification of Security Issues 基于新型安全问题分类的端到端云计算架构

2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2017-10-01 DOI: 10.1109/AICCSA.2017.136

Mariem Bouchaala, C. Ghazel, L. Saïdane, F. Kamoun

{"title":"End to End Cloud Computing Architecture Based on A Novel Classification of Security Issues","authors":"Mariem Bouchaala, C. Ghazel, L. Saïdane, F. Kamoun","doi":"10.1109/AICCSA.2017.136","DOIUrl":"https://doi.org/10.1109/AICCSA.2017.136","url":null,"abstract":"Today, Cloud Computing architectures offer a costefficient services delivered for business, scientific and legal organizations. These structures are used as a guideline to understand the Cloud component, services, actors and interactions. However, few Cloud Computing architectures are proposed and used as references to build a Cloud infrastructure. Most of these models does not treat and burst security layers despite the fact that it presents the most important concerns in the Cloud.The aim of this paper is to propose a new end-to-end reference architecture based on a novel classification of security issues in Cloud Computing environment. To do so, we are going to explore the fundamental concepts of Cloud. We will study and propose a novel actor-based classification of security issues. We will model a Cloud reference architecture from security perspective and we will study in depth security and defense in the Cloud provider tier. We will add a management layer in order to refine our design. To the best of our knowledge, our proposal provides the first Cloud Computing reference architecture actor-based from both security and management perspectives in research field","PeriodicalId":197301,"journal":{"name":"2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126825187","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}

引用次数: 8

Towards Cloud Driven Semantic Annotation 迈向云驱动的语义标注

2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2017-10-01 DOI: 10.1109/AICCSA.2017.218

Oluwasegun A. Adedugbe, E. Benkhelifa, R. Campion

引用次数: 3

Fast and Accurate Fingerprint Matching Using Expanded Delaunay Triangulation 基于扩展Delaunay三角剖分的快速准确指纹匹配

2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2017-10-01 DOI: 10.1109/AICCSA.2017.33

Mohamed Hedi Ghaddab, Khaled Jouini, O. Korbaa

{"title":"Fast and Accurate Fingerprint Matching Using Expanded Delaunay Triangulation","authors":"Mohamed Hedi Ghaddab, Khaled Jouini, O. Korbaa","doi":"10.1109/AICCSA.2017.33","DOIUrl":"https://doi.org/10.1109/AICCSA.2017.33","url":null,"abstract":"Efficient and reliable fingerprint matching is crucial for many civilian and forensic applications. Fingerprints are characterized by large intra-class variations (i.e. variability in different impressions from the same finger). This variability manifests itself by the missing or the displacement of genuine minutiae and the detection of spurious minutiae. Displaced, missing and spurious minutiae make fingerprint matching a very challenging pattern recognition problem.Although significant improvements have been made in minutiae-based matching, most of minutiae matching algorithms lack of robustness with respect to displaced, missing and spurious minutiae [4]. This paper introduces EDT-C, a new fingerprint matcher based on minutiae triplets. The proposed matcher uses an extended form of Delaunay Triangulation that allows to take into account, not only genuine minutiae, but also spurious, displaced and missing ones. EDT-C characterizes minutiae triplets by a set of innovative geometric features that help in tolerating linear and non-linear distortions. Finally, EDT-C includes some optimizations that allows to quickly consolidate local matchings and filter non-matching minutia triplets. Experiments show that EDT-C has a reasonable computational cost and is far more accurate than its main competitors.","PeriodicalId":197301,"journal":{"name":"2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121517940","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}

引用次数: 3

Identifying Intrusions in Computer Networks Using Robust Fuzzy PCA 利用鲁棒模糊PCA识别计算机网络中的入侵

2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2017-10-01 DOI: 10.1109/AICCSA.2017.78

A. Hadri, Khalid Chougdali, R. Touahni

{"title":"Identifying Intrusions in Computer Networks Using Robust Fuzzy PCA","authors":"A. Hadri, Khalid Chougdali, R. Touahni","doi":"10.1109/AICCSA.2017.78","DOIUrl":"https://doi.org/10.1109/AICCSA.2017.78","url":null,"abstract":"It is well-known that intrusion detection systems are an effective way to detect malicious connections in a computer network. Different feature extraction techniques have been applied in the field of detection intrusions; the most common one is Principal Component Analysis (PCA). Nevertheless, PCA is restricted to linear principal components and suffers from sensitivity to noise and can be easily affected by outliers. To deal with the drawbacks of PCA many data dimensionality reduction methods have been proposed, among them we found Robust Fuzzy PCA (RFPCA) which employs fuzzy memberships in order to reduce the effect of outliers. Unfortunately, even though RFPCA showed satisfactory results, it still suffers from the influence of outliers. In fact, using an increasing function such as exponential function in the estimation of memberships will assign a big membership values to outliers, consequently, the obtained results can be skewed. In this paper, we suggest a new variant of Robust Fuzzy PCA (RFPCA) method for the purpose of network IDS. Extensive experiments on the two well known datasets i.e. KDDcup99 and NSL-KDD demonstrated that the proposed approach takes the advantage over RFPCA and PCA in terms of network attacks detection and false alarms reduction.","PeriodicalId":197301,"journal":{"name":"2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123261604","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}

引用次数: 10

Perspectives on Resilience in Cloud Computing: Review and Trends 云计算弹性的观点:回顾和趋势

2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2017-10-01 DOI: 10.1109/AICCSA.2017.221

T. Welsh, E. Benkhelifa

引用次数: 6

Improving of Open-Set Language Identification by Using Deep SVM and Thresholding Functions 基于深度支持向量机和阈值函数的开集语言识别改进

2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2017-10-01 DOI: 10.1109/AICCSA.2017.119

Ilyes Rebai, Y. B. Ayed, W. Mahdi

{"title":"Improving of Open-Set Language Identification by Using Deep SVM and Thresholding Functions","authors":"Ilyes Rebai, Y. B. Ayed, W. Mahdi","doi":"10.1109/AICCSA.2017.119","DOIUrl":"https://doi.org/10.1109/AICCSA.2017.119","url":null,"abstract":"State-of-the-art language identification (LID) systems are based on an iVector feature extractor front-end followed by a multi-class recognition back-end. Identification accuracy degrades considerably when LID systems face open-set languages. As compared to in-set identification task, the open-set task is adequate to mimic the real challenge of language identification. In this paper, we propose an approach to the problem of out-of-set (OOS) data detection in the context of open-set language identification with zero-knowledge for OOS languages. The main feature of this study is the emphasis on the in-set (target) language identification, on the one hand, and on OOS language detection, on the other hand. Accordingly, we propose a deep SVM based LID back-end system to improve the target languages identification. Along with that, we define three OOS thresholding formulations. These formulations are used to decide whether the speech segment is a target or OOS language. The experimental results demonstrate the effectiveness of the deep SVM back-end system as compared to state-of-the-art techniques. Besides that, the thresholding functions perfectly detect and reject the OOS data. A relative decrease of 6% in Equal Error Rate (EER) is reported over classical OOS detection methods, in discriminating target and OOS languages.","PeriodicalId":197301,"journal":{"name":"2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131329232","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}

引用次数: 6

Bi-objective GA for Cost-Effective and Delay-Aware Gateway Placement in Wireless Mesh Networks 基于双目标遗传算法的无线网状网络中具有成本效益和延迟感知的网关布局

2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2017-10-01 DOI: 10.1109/AICCSA.2017.55

Zeineb Lazrag, Monia Hamdi, M. Zaied

引用次数: 4

3D Handwriting Characters Recognition with Symbolic-Based Similarity Measure of Gyroscope Signals Embedded in Smart Phone 基于符号相似性测度的智能手机陀螺仪信号三维手写字符识别

2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2017-10-01 DOI: 10.1109/AICCSA.2017.28

Mariam Taktak, S. Triki, A. Kamoun

{"title":"3D Handwriting Characters Recognition with Symbolic-Based Similarity Measure of Gyroscope Signals Embedded in Smart Phone","authors":"Mariam Taktak, S. Triki, A. Kamoun","doi":"10.1109/AICCSA.2017.28","DOIUrl":"https://doi.org/10.1109/AICCSA.2017.28","url":null,"abstract":"In this paper, we present a 3D handwriting character recognition algorithm based on a symbolic representation of angular velocity signal generated from Gyroscope sensor included in a smart phone. Characters are writing in a 3D air space by a user via a wearable smart phone device. The main insight behind the use of a symbolic representation is to tackle storage and time processing challenge required in such application with mobile device. That is, we introduce a similarity distance measure that combines the Symbolic Aggregate approXimation (SAX) distance with angular trend distance. The proposed similarity distance measure requires additional information about the trend of the Time Series Data (TSD) and will be used in classification with the nearest neighbor rule. In addition, we extend the distance measure to handle multidimensional data and the classification is achieved using a greedy time warping algorithm. This algorithm internally uses a dynamic programming that overcomes the quadratic time complexity of the classical dynamic time warping search. Experiments on a real database of the 26 lowercase letters in the English alphabet show that our method improves the original and two variation of the SAX similarity search algorithm.","PeriodicalId":197301,"journal":{"name":"2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133875207","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}

引用次数: 3

Behavior-Based Approach for User Interests Prediction 基于行为的用户兴趣预测方法

2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2017-10-01 DOI: 10.1109/AICCSA.2017.153

Chayma Amri, Mariem Bambia, R. Faiz

引用次数: 2