2020 10th International Conference on Computer and Knowledge Engineering (ICCKE)最新文献_第5页

Modeling Android Security using an Extension of Knowledge Discovery Metamodel 使用扩展的知识发现元模型建模Android安全性

2020 10th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2020-10-29 DOI: 10.1109/ICCKE50421.2020.9303707

Atefeh Nirumand, Z. Rajaei, B. Zamani, S. Kolahdouz-Rahimi

{"title":"Modeling Android Security using an Extension of Knowledge Discovery Metamodel","authors":"Atefeh Nirumand, Z. Rajaei, B. Zamani, S. Kolahdouz-Rahimi","doi":"10.1109/ICCKE50421.2020.9303707","DOIUrl":"https://doi.org/10.1109/ICCKE50421.2020.9303707","url":null,"abstract":"Due to the exponential growth of the number of mobile users and applications, mobile application development, especially on the Android platform, has received increasing interest in recent years. Since many applications interact with sensitive data, the security aspects of an Android application is attracting growing attention from the research community. However, security aspects have been underestimated by many existing Android applications, and they may need to be redeveloped to include essential security factors. Taking advantage of Model Driven Reverse Engineering (MDRE) into account, we can employ Knowledge Discovery Metamodel (KDM), the most popular metamodel for reverse engineering, to model Android application enhancement. Since KDM lacks Android concepts, it is unable to represent all the details of an existing Android application. To the best of our knowledge, no extension of this metamodel is proposed for modeling the security aspects of an Android application. To address this problem, in this paper, we introduce a heavyweight extension of KDM for the security aspects of the Android application. Our experimental results show that the extended metamodel will facilitate analyzing the security issues of an existing Android application.","PeriodicalId":402043,"journal":{"name":"2020 10th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117254247","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: 0

Improving offloading in mobile cloud computing 改进移动云计算的卸载

2020 10th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2020-10-29 DOI: 10.1109/ICCKE50421.2020.9303659

Fereshteh Saberi, R. Azmi

{"title":"Improving offloading in mobile cloud computing","authors":"Fereshteh Saberi, R. Azmi","doi":"10.1109/ICCKE50421.2020.9303659","DOIUrl":"https://doi.org/10.1109/ICCKE50421.2020.9303659","url":null,"abstract":"Increasing growth of applications and operating systems of mobile devices has created limitations such as processing, storage capacity, and energy on these devices which may interrupt future progresses in mobile devices. Mobile cloud computing (MCC) can resolve these problems by running mobile device applications on sources outside the mobile device. Offloading has been proposed as one of the techniques to deal with the limitations of mobile devices in the field of MCC. In this technique, the processes move to a remote execution environment with higher computing capacity to increase efficiency and reduce energy consumption in mobile devices.In this paper, an approach has been presented to improve offloading in MCC. Our proposed approach is an improved MpOS (Multiplatform Offloading System) framework that uses the LRU cache to store methods offloaded to the remote execution environment. According to the evaluation and analysis, our proposed approach has become better than the MpOS framework in all remote execution environments but this difference can be more and better observed in Desktop cloudlet, Laptop cloudlet, EC2 large (4G) and EC2 medium (4G) environments.","PeriodicalId":402043,"journal":{"name":"2020 10th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115313189","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: 0

An Intelligent Machine Learning-Based Sheath-free Microfluidic Impedance Flow cytometer 基于智能机器学习的无鞘微流控阻抗流式细胞仪

2020 10th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2020-10-29 DOI: 10.1109/ICCKE50421.2020.9303702

Mohsen Annabestani, Ali Mousavi Shaegh, Pouria Esmaeili-Dokht, M. Fardmanesh

引用次数: 7

Designing D Flip-Flop using a 3×3 reversible gate 使用3×3可逆门设计D触发器

2020 10th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2020-10-29 DOI: 10.1109/ICCKE50421.2020.9303685

Reza Akbari-Hassanjani, L. Dehbozorgi, R. Sabbaghi‐Nadooshan

引用次数: 0

Solving a Multi-Traveling Salesmen Problem using a Mamdani Fuzzy Inference Engine and Simulated Annealing Search Algorithm 用Mamdani模糊推理机和模拟退火搜索算法求解多旅行推销员问题

2020 10th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2020-10-29 DOI: 10.1109/ICCKE50421.2020.9303696

Fatemeh Hassanpour, Mohamad-R. Akbarzadeh-T

{"title":"Solving a Multi-Traveling Salesmen Problem using a Mamdani Fuzzy Inference Engine and Simulated Annealing Search Algorithm","authors":"Fatemeh Hassanpour, Mohamad-R. Akbarzadeh-T","doi":"10.1109/ICCKE50421.2020.9303696","DOIUrl":"https://doi.org/10.1109/ICCKE50421.2020.9303696","url":null,"abstract":"The multi-traveling salesmen problem (MTSP) is an extended situation of the standard traveling salesman problem (TSP), in which there is more than one salesman. In this matter, several salesmen are determined to visit N city with the goal of the shortest route to selling their goods, assuming they have crossed all of them, via just once each. The aim is to minimize the total cost of travel for salesman. Thus, it can be modeled as an optimization problem. Regarding the complexity degree, this problem is well known as a NP-Hard problem. Therefore, several meta-heuristic algorithms have been developed at the frontiers of knowledge to solve this problem. Nevertheless, the computational and time complexities are the most important challenges of such algorithms. In this paper, we first convert the MTSP using a fuzzy approach with a linear complexity level, to several TSPs. Then, we solve each problem using the simulated annealing (SA) optimization algorithm. In this way, the time complexity of the system is significantly reduced using the proposed method as well as the accuracy of the system is satisfactory. To assess the proposed algorithm, this method is implemented in the TSPLIB library dataset.","PeriodicalId":402043,"journal":{"name":"2020 10th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121310669","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: 1

Clustering Alexa Internet Data using Auto Encoder Network and Affinity Propagation 使用自动编码器网络和亲和传播聚类Alexa互联网数据

2020 10th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2020-10-29 DOI: 10.1109/ICCKE50421.2020.9303705

Ali Risheh, Ashkan Goharfar, N. T. Javan

{"title":"Clustering Alexa Internet Data using Auto Encoder Network and Affinity Propagation","authors":"Ali Risheh, Ashkan Goharfar, N. T. Javan","doi":"10.1109/ICCKE50421.2020.9303705","DOIUrl":"https://doi.org/10.1109/ICCKE50421.2020.9303705","url":null,"abstract":"Non-linear mapping is one of the most popular solutions for complex data structures and distinct patterns to cluster data. Auto encoder Networks (AENs) are widely used in clustering as they improve data representation. In this paper, we collect Alexa.com data by crawling popular websites profiles, where dataset has 84 columns with type number and array of words. Next, an AEN architecture is presented to identify specific websites with exceptional patterns and the encoded data expresses new feature space of our original data. (Our) Encoded data is clustered by Affinity Propagation which is a partitioning algorithm without the need for specifying the number of clusters. There are important results based on 194 clusters and exemplars which are filtered and analyzed. One remarkable fact about results is that the first 11 columns as raw data are not clustered by Affinity Propagation a which re considered all as outlier. The results are summarized by selecting the best option w.r.t. the statistics and charts. Some of the obtained results are useful for website owners and provide some suggestions and solutions for Search Engine Optimization (SEO). Finally, we propose our crawler application which crawls and records data over 4 days. It must be added that the proposed web crawler faces challenges and their solutions can be helpful in most commonly used web crawling algorithms and libraries.","PeriodicalId":402043,"journal":{"name":"2020 10th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129547494","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: 0

Comparative analysis of the impacts of CNTFET and GNRFET drivers on the crosstalk effects in MLGNR interconnects at 7nm technology node CNTFET和GNRFET驱动对MLGNR互连中串扰效应影响的比较分析

2020 10th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2020-10-29 DOI: 10.1109/ICCKE50421.2020.9303621

S. Hamedani, M. H. Moaiyeri

{"title":"Comparative analysis of the impacts of CNTFET and GNRFET drivers on the crosstalk effects in MLGNR interconnects at 7nm technology node","authors":"S. Hamedani, M. H. Moaiyeri","doi":"10.1109/ICCKE50421.2020.9303621","DOIUrl":"https://doi.org/10.1109/ICCKE50421.2020.9303621","url":null,"abstract":"This paper presents a comparative evaluation of the performance of the multilayer graphene nanoribbon (MLGNR) lines with carbon-based drivers and receivers at 7nm technology node in presence of the crosstalk effects. Graphene nanoribbon field-effect transistors (GNRFET) and Carbon nanotube field-effect transistors (CNTFET) are used as driver and receiver inverters at the input and output of the MLGNR interconnects. For a more accurate assessment, the five-line transmission lines including two pairs of aggressor lines is considered. The results show that for the same Ioff and the same channel dimensions, CNTFET drivers show significant improvement regarding the crosstalk-induced effects over GNRFET. According to the results, using CNTFET drivers leads to 67%, 64%, and 34% lower crosstalk delay than the GNRFET-based for 100μm, 200μm and 500μm MLGNR interconnect length, respectively. Moreover, the CNTFET- based lines have 36%, 27%, and 16% smaller crosstalk noise area than their GNRFET counterparts for different lengths of MLGNR interconnects.","PeriodicalId":402043,"journal":{"name":"2020 10th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132543614","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: 2

Reliability Improvement of Fault-Tolerant Shuffle Exchange Interconnection Networks 容错Shuffle交换互联网络可靠性改进研究

2020 10th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2020-10-29 DOI: 10.1109/ICCKE50421.2020.9303610

Roya Gholizadeh, M. Valinataj

引用次数: 5

Deep Learning approach for text, image, and GIF multimodal sentiment analysis 用于文本、图像和GIF多模态情感分析的深度学习方法

2020 10th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2020-10-29 DOI: 10.1109/ICCKE50421.2020.9303676

Amirhossein Shirzad, Hadi Zare, M. Teimouri

引用次数: 2

Critical Packet Loss Improvement in the AFDX Communication Protocol AFDX通信协议中的关键丢包改进

2020 10th International Conference on Computer and Knowledge Engineering (ICCKE) Pub Date : 2020-10-29 DOI: 10.1109/ICCKE50421.2020.9303635

Fatemeh Masoodi-pour, Yasser Sedaghat, M. Yaghmaee

引用次数: 0