2020 32nd International Conference on Microelectronics (ICM)最新文献_第5页

A High-Speed KECCAK Architecture Resistant to Fault Attacks 一种抗故障攻击的高速KECCAK架构

2020 32nd International Conference on Microelectronics (ICM) Pub Date : 2020-12-14 DOI: 10.1109/ICM50269.2020.9331792

H. Mestiri, I. Barraj, M. Machhout

{"title":"A High-Speed KECCAK Architecture Resistant to Fault Attacks","authors":"H. Mestiri, I. Barraj, M. Machhout","doi":"10.1109/ICM50269.2020.9331792","DOIUrl":"https://doi.org/10.1109/ICM50269.2020.9331792","url":null,"abstract":"The hash KECCAK algorithm has been proposed by the cryptographic architect with the goal to improve the hash security and the design hardware performances. The KECCAK hash algorithm has been implemented in the cryptographic circuits to ensure the hash security. It is become the standard hash algorithm used to determinate the information integrity. To protect the KECCAK hardware implementation against the fault attacks, a few numbers of fault detection schemes have been proposed. The fault attacks consist to create an erroneous KECCAK message to extract the hash secure data. In this paper, a new fault detection scheme based on modifying the KECCAK architecture is presented where the KECCAK round is divided into two blocks. We explain the details implementation of each blocks. The security simulation results demonstrate that our scheme reaches 99.995% fault coverage. In addition, the proposed scheme has been evaluated from viewpoint FPGA hardware implementation. The efficiency, the throughput, the frequency and the area have been evaluated and it is shown that our proposed scheme leads high frequency overhead and minimum area overhead compared to the previous work.","PeriodicalId":243968,"journal":{"name":"2020 32nd International Conference on Microelectronics (ICM)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132880162","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

MATLAB/Simulink Medical Fluid Pump Model with a Flow PID Controller 带流量PID控制器的医用流体泵MATLAB/Simulink模型

2020 32nd International Conference on Microelectronics (ICM) Pub Date : 2020-12-14 DOI: 10.1109/ICM50269.2020.9331807

Abdulhalim Mohamad, Mohamad HajjHassan, Mohamed Wadaane, Ahmad ElSayed, Hussein Wehby, Mariam Khayreldeen, Ahmed N. Al-naggar, Saeed H. Bamashmos, H. Wehbi, Mohamad Abou Ali, A. Kassem

引用次数: 0

Multilayer Perceptron Analog Hardware Implementation Using Low Power Operational Transconductance Amplifier 基于低功耗运算跨导放大器的多层感知器模拟硬件实现

2020 32nd International Conference on Microelectronics (ICM) Pub Date : 2020-12-14 DOI: 10.1109/ICM50269.2020.9331786

Sherif Abden, E. Azab

引用次数: 1

Two-Port Network Analysis of Equal Fractional-order Wireless Power Transfer Circuit 等分数阶无线电力传输电路的双端口网络分析

2020 32nd International Conference on Microelectronics (ICM) Pub Date : 2020-12-14 DOI: 10.1109/ICM50269.2020.9331780

Dalia A. Fathi, M. Fouda, L. Said, Nourhan R. Khafagy, A. Radwan

引用次数: 1

ICM 2020 Committees

2020 32nd International Conference on Microelectronics (ICM) Pub Date : 2020-12-14 DOI: 10.1109/icm50269.2020.9331781

引用次数: 0

A Survey on Deep Learning Classification Algorithms for Motor Imagery 运动图像的深度学习分类算法综述

2020 32nd International Conference on Microelectronics (ICM) Pub Date : 2020-12-14 DOI: 10.1109/ICM50269.2020.9331503

Bishal Guragai, Omar Alshorman, Mahmoud Masadeh, Md Belal Bin Heyat

{"title":"A Survey on Deep Learning Classification Algorithms for Motor Imagery","authors":"Bishal Guragai, Omar Alshorman, Mahmoud Masadeh, Md Belal Bin Heyat","doi":"10.1109/ICM50269.2020.9331503","DOIUrl":"https://doi.org/10.1109/ICM50269.2020.9331503","url":null,"abstract":"In recent years, motor imagery electroencephalography decoding has become a promising research field in brain-computer interface. Motor imagery signals generated from the brain can be decoded into certain commands to control external devices. The application of some deep learning algorithms to motor imagery has shown good performance by increasing accuracy and stability, as deep learning can easily handle high-dimensional, non-linear, and non-stationary electroencephalogram data. In this paper, we reviewed trends and approaches of deep learning algorithms for motor based on previously published papers indexed in Web of Science. We screened thirty-six research papers of the motor imagery classification using deep learning methods in the period between 2010 and 2020. In addition, we found the closest terms of the study using the network visualization technique and word cloud. This paper summarizes different input formulation methods used for developing deep learning models. Finally, some suggestions and recommendations for future research on motor imagery classification have been proposed.","PeriodicalId":243968,"journal":{"name":"2020 32nd International Conference on Microelectronics (ICM)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126783701","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: 25

Near-lossless compression for multichannel EEG using empirical mode decomposition 基于经验模态分解的多通道脑电图近无损压缩

2020 32nd International Conference on Microelectronics (ICM) Pub Date : 2020-12-14 DOI: 10.1109/ICM50269.2020.9331496

Biju Karunnya Sivathanu, Midhila Madhusoodanan, Christy James Jose

{"title":"Near-lossless compression for multichannel EEG using empirical mode decomposition","authors":"Biju Karunnya Sivathanu, Midhila Madhusoodanan, Christy James Jose","doi":"10.1109/ICM50269.2020.9331496","DOIUrl":"https://doi.org/10.1109/ICM50269.2020.9331496","url":null,"abstract":"At present, Covid 19 cases are continually being reported all around the world. There exists an extreme shortage of specialist physicians which are being reported, which in turn affects the treatment of the pandemic disaster. The health sector is forcibly being switched to telemetry diagnoses and treatments. Hence, it becomes necessary to develop an efficient compression system for transmission and storage of applications in short time with great efforts. For biomedical applications, neurologists require an efficient system which provides more accurate and error free data once the signal is reconstructed. The aim is to improve the compression ratio and minimize the reconstruction error of electroencephalographic signal, designed by a two-stage compression scheme. Here, an empirical mode decomposition technique is used to breakdown the signal. The overall compression ratio (CR) of this method is 12.5:1. The transmitted EEG signals and the reconstructed EEG signal are found to be almost same with a percentage rate of distortion of 5.4%. In comparison with other lossless compression techniques, the proposed method offers high compression rate with a minimum probability of error.","PeriodicalId":243968,"journal":{"name":"2020 32nd International Conference on Microelectronics (ICM)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127361373","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

Parameter Identification of Flexible Supercapacitors with Fractional Cuckoo Search 基于分数杜鹃搜索的柔性超级电容器参数辨识

2020 32nd International Conference on Microelectronics (ICM) Pub Date : 2020-12-14 DOI: 10.1109/ICM50269.2020.9331777

A. M. Abdelaty, M. Fouda, M. M. Elbarawy, H. Attia, A. Radwan

引用次数: 0

Stacked Nanosheet Based Reconfigurable FET 基于堆叠纳米片的可重构场效应管

2020 32nd International Conference on Microelectronics (ICM) Pub Date : 2020-12-14 DOI: 10.1109/ICM50269.2020.9331813

M. Ehteshamuddin, S. Loan, M. Rafat

引用次数: 0

DNSSEC as a service – A prototype implementation DNSSEC即服务——原型实现

2020 32nd International Conference on Microelectronics (ICM) Pub Date : 2020-12-14 DOI: 10.1109/ICM50269.2020.9331810

Adnath Hemanthindra, A. Phokeer, V. Ramsurrun, Panagiota Katsina, Sumit Anantwar, A. Seeam

{"title":"DNSSEC as a service – A prototype implementation","authors":"Adnath Hemanthindra, A. Phokeer, V. Ramsurrun, Panagiota Katsina, Sumit Anantwar, A. Seeam","doi":"10.1109/ICM50269.2020.9331810","DOIUrl":"https://doi.org/10.1109/ICM50269.2020.9331810","url":null,"abstract":"Domain Name System (DNS) plays a massive role in today’s technological era. While initially designed to facilitate communications over the Internet and over networks, the DNS in itself is not secure enough considering the type and criticality of information being shared today. Considering its worldwide acceptance and popularity, securing the DNS without breaking its operation has become vital. DNSSEC is seen as a viable option to protect the integrity of the data and prevent on the fly modifications. However, its adoption rate is not encouraging. Research shows that complexity associated with currently proposed solutions were major turn off for organizations. This paper proposes the creation of a DNSSEC signing service whereby customers register themselves with the service provider and the latter deploys a signing environment for them which includes a DNSSEC signer, a database and web services for access purposes. Customers will only have to use the web services to create and manage their zones and the zone signing can be done automatically or with a simple click of a button. Signed zones are sent back to customer authoritative DNS servers securely using Transaction SIGnature (TSIG) and incoming DNS requests are signed. This solution involves open-source tools and service providers make use of Linux containers for customer environment and space for resource efficiency. All the complexity and additional maintenance involving the system are taken off the customer’s shoulders and managed by the provider while also facilitating their tasks through GUI operations.","PeriodicalId":243968,"journal":{"name":"2020 32nd International Conference on Microelectronics (ICM)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129714162","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