2017 12th International Conference on Computer Engineering and Systems (ICCES)最新文献_第10页

Taxonomy of malware analysis in the IoT 物联网中恶意软件分析的分类

2017 12th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2017-12-01 DOI: 10.1109/ICCES.2017.8275362

Silvia Wahballa Soliman, Mohammed A. Sobh, Ayman M. Bahaa-Eldin

{"title":"Taxonomy of malware analysis in the IoT","authors":"Silvia Wahballa Soliman, Mohammed A. Sobh, Ayman M. Bahaa-Eldin","doi":"10.1109/ICCES.2017.8275362","DOIUrl":"https://doi.org/10.1109/ICCES.2017.8275362","url":null,"abstract":"Internet of Things (IoT) totally transformed our world on many levels and in many fields either industry, health, economy, energy saving, etc. According to Cisco by 2020 there will about 50 billion IoT connected devices and this causes many issues specially security problems. IoT devices are widely used everywhere and leads to user privacy, big data as well as in data and server management problems but malware is from the biggest challenges facing IoT devices where there are different types of malware like viruses, Trojan horses, worms, spy-ware and viruses, which can access and manipulate confidential information or cause a running problem in the system. As there are many types of malware but at the same time there are different approaches for malware analysis. Therefore there are many approaches to handle malware analysis and each approach has its pros and cons. In this paper we will discuss security issues in IoT devices and different approaches for malware analysis and build a taxonomy for malware analysis tools and methodologies from different points of view as well as the advantages and disadvantages of each approach.","PeriodicalId":170532,"journal":{"name":"2017 12th International Conference on Computer Engineering and Systems (ICCES)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114828253","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: 19

Performance of Receding horizon predictive controller for research reactors 研究堆后退水平预测控制器的性能

2017 12th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2017-12-01 DOI: 10.1109/ICCES.2017.8275317

Mina S. Andraws, I. Mahmoud, A. A. El-Hamid, S. Hammad, A. Yousef

引用次数: 3

A hybrid neural network model for predicting solar cells performance 太阳能电池性能预测的混合神经网络模型

2017 12th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2017-12-01 DOI: 10.1109/ICCES.2017.8275273

A. Yassin, M. E. Harb

引用次数: 1

Analysis and simulation of round gimbaled electrostatic torsion micro-mirror 圆框架静电扭转微镜的分析与仿真

2017 12th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2017-12-01 DOI: 10.1109/ICCES.2017.8275397

Ahmed Bahgat, Ahmed H. Zaki, M. Mohamed Abdo, Ashraf F. El-Sherif

引用次数: 1

A dynamically configurable-radix pipelined FFT algorithm for real time applications 用于实时应用的动态可配置基数流水线FFT算法

2017 12th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2017-12-01 DOI: 10.1109/ICCES.2017.8275340

Benjamin Shokry, M. Dessouky, M. Safar, M. El-Kharashi

引用次数: 1

Crowd density estimation using multiple features categories and multiple regression models 基于多特征分类和多元回归模型的人群密度估计

2017 12th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2017-12-01 DOI: 10.1109/ICCES.2017.8275346

A. Gad, A. Hamad, K. M. Amin

{"title":"Crowd density estimation using multiple features categories and multiple regression models","authors":"A. Gad, A. Hamad, K. M. Amin","doi":"10.1109/ICCES.2017.8275346","DOIUrl":"https://doi.org/10.1109/ICCES.2017.8275346","url":null,"abstract":"This paper proposes a new single camera automatic crowd density estimation method for overcoming the linearity problem and enhancing the counting prediction accuracy. For overcoming the linearity problem, a combination of features including segmented regions properties, texture, edge, and SIFT keypoints are extracted from the segmented foreground regions. These features are normalized to solve the perspective distortion problem. The complete feature set and a partial of this set are utilized to train multiple regression models to predict the crowd density per region and enhance the prediction accuracy. Moreover, the cross-validation technique is used to select the training and testing datasets in order to increase the prediction accuracy. Categories of features are ranked based on a set of metrics reflecting their robustness with each regression model used. Using the ground truth data provided by the UCSD crowd dataset, the experimental results show that the proposed crowd density estimation method are more robust and provide crowd counting prediction with higher accuracy than previous methods.","PeriodicalId":170532,"journal":{"name":"2017 12th International Conference on Computer Engineering and Systems (ICCES)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127874311","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

Performance analysis of MUSA with different spreading codes using ordered SIC methods 用有序SIC方法分析不同扩频码的MUSA性能

2017 12th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2017-12-01 DOI: 10.1109/ICCES.2017.8275286

E. Eid, M. Fouda, A. S. Eldien, M. M. Tantawy

引用次数: 16

A spatiotemporal scenario to mitigate pilot contamination in 5G massive MIMO systems 缓解5G大规模MIMO系统中导污染的时空情景

2017 12th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2017-12-01 DOI: 10.1109/ICCES.2017.8275285

Mahmoud M. Badr, M. Fouda, A. S. Eldien

引用次数: 0

Enhancement of phylogenetic tree construction based on differential evolution algorithm 基于差分进化算法的系统发育树构建改进

2017 12th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2017-12-01 DOI: 10.1109/ICCES.2017.8275380

Samar M. Zayed, Sherin Elgokhy, M. Saidahmed

引用次数: 0

Lowered-complexity soft decoding of generalized LDPC codes over AWGN channels 广义LDPC码在AWGN信道上的低复杂度软译码

2017 12th International Conference on Computer Engineering and Systems (ICCES) Pub Date : 2017-12-01 DOI: 10.1109/ICCES.2017.8275325

Sherif Elsanadily, A. Mahran, Osama M. Elghandour

引用次数: 1