2017 IEEE Conference on Wireless Sensors (ICWiSe)最新文献

Generic sensor network for building monitoring: design, issues, and methodology 用于建筑监测的通用传感器网络:设计、问题和方法

2017 IEEE Conference on Wireless Sensors (ICWiSe) Pub Date : 2017-11-13 DOI: 10.1109/ICWISE.2017.8267158

Abdenour Kifouche, G. Baudoin, R. Hamouche, R. Kocik

{"title":"Generic sensor network for building monitoring: design, issues, and methodology","authors":"Abdenour Kifouche, G. Baudoin, R. Hamouche, R. Kocik","doi":"10.1109/ICWISE.2017.8267158","DOIUrl":"https://doi.org/10.1109/ICWISE.2017.8267158","url":null,"abstract":"In recent years, sensor networks have attracted great interests and have brought solutions in several areas. They can be used in natural disaster management, intrusion detection, pollution control, medical surveillance, etc. This article describes our experiments in development, deployment and data exploitation of sensor network. This network aims to study pollution and increase energy efficiency of several systems located in buildings. We developed and deployed the sensor network in buildings of our school. The network consists of generic and modular sensors. The sensors collect several data such as temperature, humidity, ambient light, carbon monoxide, etc. Subsequently, these data are transmitted to a base station. By using a human machine interface, these data can be visualized and processed in real time. During and after the development and implementation of this network, we identified issues related to energy constraints, network scale, increased complexity, physical environment, and financial and temporal costs. To solve these issues, we propose to explore new development methods based on model driven approach that reduce costs and efforts and ensure consistency.","PeriodicalId":414964,"journal":{"name":"2017 IEEE Conference on Wireless Sensors (ICWiSe)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128162143","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

A survey on software defined network approaches for achieving energy efficiency in wireless sensor network 无线传感器网络中实现能效的软件定义网络方法综述

2017 IEEE Conference on Wireless Sensors (ICWiSe) Pub Date : 2017-11-01 DOI: 10.1109/ICWISE.2017.8267157

N. F. Ali, A. Said, K. Nisar, I. Aziz

引用次数: 31

Modelling of intelligent intrusion detection system: making a case for snort 智能入侵检测系统建模:snort案例

2017 IEEE Conference on Wireless Sensors (ICWiSe) Pub Date : 2017-11-01 DOI: 10.1109/ICWISE.2017.8267152

R. F. Olanrewaju, Ku Afiza Ku Zahir, A. L. Asnawi, M. Sanni, Abdulkadir Adekunle Ahmed

{"title":"Modelling of intelligent intrusion detection system: making a case for snort","authors":"R. F. Olanrewaju, Ku Afiza Ku Zahir, A. L. Asnawi, M. Sanni, Abdulkadir Adekunle Ahmed","doi":"10.1109/ICWISE.2017.8267152","DOIUrl":"https://doi.org/10.1109/ICWISE.2017.8267152","url":null,"abstract":"Intrusion Detection System (IDS) is a dynamic network security defense technology that can help to provide realtime detection of internal and external attacks on a computer network and alerting the administration for necessary action. However, the inconsistent nature of networks has resulted in a high number of false positives which makes many network administrators thought IDS to be unreliable for today’s network security system. Nowadays, hackers and attackers have created many new viruses and malware to invade one’s computer network system. Hence, this study proposes a method for early detection of an intrusion by using Snort software. The data collected was used to train the Multilayer Feedforward Neural Network (MLFNN) with Back-propagation (BP) algorithm. This MLFNN with BP algorithm was simulated using MATLAB software. The performance of this classifier was evaluated based on three parameters: accuracy, sensitivity, and False Positive Rate (FPR). Preprocessing was done to classify the output data into normal and attack. Performance evaluation was done using confusion matrix on the data. The results showed that network-based intrusion detection system could be employed for early detection of intrusion due to the excellent performance recorded which were 94.92% of accuracy, 97.97% for sensitivity, and 0.69% for FPR.","PeriodicalId":414964,"journal":{"name":"2017 IEEE Conference on Wireless Sensors (ICWiSe)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121208506","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

Constant time, fixed memory, zero false negative error logging for low power wearable devices 恒定时间，固定内存，零假负错误记录低功耗可穿戴设备

2017 IEEE Conference on Wireless Sensors (ICWiSe) Pub Date : 2017-11-01 DOI: 10.1109/ICWISE.2017.8267156

Saffiyah Doolan, Nicholas Hoseiny, Patrick Hosein, D. Bhagwandin

引用次数: 0

Sensors equipped mattress for assessing sleep apnea symptoms 配备传感器的床垫可评估睡眠呼吸暂停症状

2017 IEEE Conference on Wireless Sensors (ICWiSe) Pub Date : 2017-11-01 DOI: 10.1109/ICWISE.2017.8267159

German Shein, Sankar Sathynaryanan, A. Sagahyroon, Michel Pasquier

引用次数: 0

Pipeline leakage alert system with water displacement detection 带水量检测的管道泄漏报警系统

2017 IEEE Conference on Wireless Sensors (ICWiSe) Pub Date : 2017-11-01 DOI: 10.1109/ICWISE.2017.8267154

Eliya Fariha Rusli, I. Aziz, J. Jaafar, N. Haron, S. Qaiyum, N. F. Ali

引用次数: 2

A novel method of detecting stairs for the blind 一种为盲人检测楼梯的新方法

2017 IEEE Conference on Wireless Sensors (ICWiSe) Pub Date : 2017-11-01 DOI: 10.1109/ICWISE.2017.8267155

Jahan Razavi, Ted Shinta

引用次数: 4

Security challenges in internet of things: survey 物联网中的安全挑战:调查

2017 IEEE Conference on Wireless Sensors (ICWiSe) Pub Date : 2017-11-01 DOI: 10.1109/ICWISE.2017.8267153

H. Ghorbani, M. Hossein Ahmadzadegan

引用次数: 33