Pub Date : 2022-04-01DOI: 10.1016/j.micpro.2022.104545
Muhammad Bashir Aliyu, Ahmed Amr, I. Ahmad
{"title":"Anomaly detection in wearable location trackers for child safety","authors":"Muhammad Bashir Aliyu, Ahmed Amr, I. Ahmad","doi":"10.1016/j.micpro.2022.104545","DOIUrl":"https://doi.org/10.1016/j.micpro.2022.104545","url":null,"abstract":"","PeriodicalId":148213,"journal":{"name":"Microprocess. Microsystems","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"118441357","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}
Pub Date : 2021-11-01DOI: 10.1016/j.micpro.2021.104386
Simon Conrady, Arne Kreddig, Manu Manuel, N. Doan, W. Stechele
{"title":"Model-Based Design Space Exploration for FPGA-based Image Processing Applications Employing Parameterizable Approximations","authors":"Simon Conrady, Arne Kreddig, Manu Manuel, N. Doan, W. Stechele","doi":"10.1016/j.micpro.2021.104386","DOIUrl":"https://doi.org/10.1016/j.micpro.2021.104386","url":null,"abstract":"","PeriodicalId":148213,"journal":{"name":"Microprocess. Microsystems","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"118308545","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}
Pub Date : 2021-08-02DOI: 10.21203/rs.3.rs-718321/v1
A. Gavali, Meghana Kadam, Sarita Patil
The technology advancement in the Internet of Things (IoT) enables a variety of smart monitoring applications assisted by networks like Wireless Sensor Networks (WSNs) and Underwater WSNs (UWSNs). The IoT-UWSNs supported a wide range of applications such as underwater data collection, underwater equipment monitoring, underwater imaging, etc. The acoustic signals have been utilized for communication in IoT-UWSNs over radio signals and optical signals. Data transmission using acoustic signals is suffering from lower throughput, excessive energy consumption, long transmission delay, and lower network lifetime. Several data forwarding and clustering algorithms have recently been proposed to enhance UWSN's performances. This paper proposed a novel routing solution for energy and QoS-efficient data transmission from the underwater sensor node to the surface sink using Swarm Intelligence (SI). This protocol called Energy Optimization using Routing Optimization (EORO) protocol. To optimize the UWSNs performance, we used Effective Fitness Function-based Particle Swarm Optimization (EFF-PSO) to select the best forwarder node for data transmission. In EORO, forwarding relay nodes discovered by the intended source node using location information firstly. Then EFF-PSO algorithm is applied to select the optimal relay node considering the rich set of parameters. Four parameters of each forwarder node used for fitness computation as residual energy, packet transmission ability, node connectivity, and distance. These parameters are intelligently selected to avoid packet collisions to achieve energy consumption and delay reduction with higher throughput. An experimental result shows that the EORO protocol outperformed underlying routing techniques using throughput, energy consumption, delay, and Packet Delivery Ratio (PDR).
{"title":"Energy optimization using swarm intelligence for IoT-Authorized underwater wireless sensor networks","authors":"A. Gavali, Meghana Kadam, Sarita Patil","doi":"10.21203/rs.3.rs-718321/v1","DOIUrl":"https://doi.org/10.21203/rs.3.rs-718321/v1","url":null,"abstract":"\u0000 The technology advancement in the Internet of Things (IoT) enables a variety of smart monitoring applications assisted by networks like Wireless Sensor Networks (WSNs) and Underwater WSNs (UWSNs). The IoT-UWSNs supported a wide range of applications such as underwater data collection, underwater equipment monitoring, underwater imaging, etc. The acoustic signals have been utilized for communication in IoT-UWSNs over radio signals and optical signals. Data transmission using acoustic signals is suffering from lower throughput, excessive energy consumption, long transmission delay, and lower network lifetime. Several data forwarding and clustering algorithms have recently been proposed to enhance UWSN's performances. This paper proposed a novel routing solution for energy and QoS-efficient data transmission from the underwater sensor node to the surface sink using Swarm Intelligence (SI). This protocol called Energy Optimization using Routing Optimization (EORO) protocol. To optimize the UWSNs performance, we used Effective Fitness Function-based Particle Swarm Optimization (EFF-PSO) to select the best forwarder node for data transmission. In EORO, forwarding relay nodes discovered by the intended source node using location information firstly. Then EFF-PSO algorithm is applied to select the optimal relay node considering the rich set of parameters. Four parameters of each forwarder node used for fitness computation as residual energy, packet transmission ability, node connectivity, and distance. These parameters are intelligently selected to avoid packet collisions to achieve energy consumption and delay reduction with higher throughput. An experimental result shows that the EORO protocol outperformed underlying routing techniques using throughput, energy consumption, delay, and Packet Delivery Ratio (PDR).","PeriodicalId":148213,"journal":{"name":"Microprocess. Microsystems","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133278865","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}
Pub Date : 2021-06-01DOI: 10.1016/J.MICPRO.2021.103986
Limin Rong
{"title":"Remote case teaching mode based on computer FPGA platform and data mining","authors":"Limin Rong","doi":"10.1016/J.MICPRO.2021.103986","DOIUrl":"https://doi.org/10.1016/J.MICPRO.2021.103986","url":null,"abstract":"","PeriodicalId":148213,"journal":{"name":"Microprocess. Microsystems","volume":"182 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117569782","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}
Pub Date : 2021-06-01DOI: 10.1016/J.MICPRO.2021.103980
Jin Cheng
{"title":"Evaluation of physical education teaching based on web embedded system and virtual reality","authors":"Jin Cheng","doi":"10.1016/J.MICPRO.2021.103980","DOIUrl":"https://doi.org/10.1016/J.MICPRO.2021.103980","url":null,"abstract":"","PeriodicalId":148213,"journal":{"name":"Microprocess. Microsystems","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"118869869","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}
Pub Date : 2021-05-24DOI: 10.21203/RS.3.RS-498274/V1
R. S, U. G
WhatsApp messenger is a popular instant messaging application that employs end-to-end encryption for communication. WhatsApp Web is the browser-based implementation of WhatsApp messenger. Users of WhatsApp communicate securely using SSL protocol. Encryption and use of common port for communication by multiple applications poses challenge in traffic classification for application identification. It is highly needed to analyze the network traffic for the purpose of QoS, Intrusion Detection and application specific traffic classification. In this paper, we have done traffic analysis on the network packets captured through data transfer in whatsapp web. In the result, we have explored the user activities such as message texting, contact sharing, voice message, location sharing, media transfer and status viewing. Packet level traffic analysis of user activities reveal patterns in the encrypted SSL communication. This pattern is identified across SSL packet lengths for WhatsApp media transfer and voice message communication. Other important features WhatsApp is the ability to view the status of the message being sent. We have identified the read and unread message status in these data packets by exposing signatures in the network layer. These signatures are identified with the help of the SSL lengths in the TLS header information of WhatsApp Web network traffic traces. Various other information on WhatsApp traffic presented in our study is relevant to the version of WhatsApp Web v0.3.2386.
WhatsApp messenger是一款流行的即时通讯应用程序，它采用端到端加密进行通信。WhatsApp Web是基于浏览器的WhatsApp messenger实现。WhatsApp的用户使用SSL协议安全地通信。对多个应用进行加密和使用公共端口进行通信，对应用识别的流分类提出了挑战。为了实现QoS、入侵检测和特定应用的流量分类，需要对网络流量进行分析。本文对whatsapp web中通过数据传输捕获的网络数据包进行了流量分析。结果，我们探索了用户活动，如消息发送，联系人共享，语音消息，位置共享，媒体传输和状态查看。用户活动的包级流量分析揭示了加密SSL通信中的模式。这种模式是在WhatsApp媒体传输和语音消息通信的SSL数据包长度中确定的。WhatsApp的另一个重要功能是能够查看正在发送的消息的状态。通过在网络层公开签名，我们已经确定了这些数据包中的已读和未读消息状态。这些签名是借助WhatsApp Web网络流量跟踪的TLS头信息中的SSL长度来识别的。在我们的研究中提供的关于WhatsApp流量的各种其他信息与WhatsApp Web v0.3.2386版本相关。
{"title":"Signature identification and user activity analysis on WhatsApp Web through network data","authors":"R. S, U. G","doi":"10.21203/RS.3.RS-498274/V1","DOIUrl":"https://doi.org/10.21203/RS.3.RS-498274/V1","url":null,"abstract":"\u0000 WhatsApp messenger is a popular instant messaging application that employs end-to-end encryption for communication. WhatsApp Web is the browser-based implementation of WhatsApp messenger. Users of WhatsApp communicate securely using SSL protocol. Encryption and use of common port for communication by multiple applications poses challenge in traffic classification for application identification. It is highly needed to analyze the network traffic for the purpose of QoS, Intrusion Detection and application specific traffic classification. In this paper, we have done traffic analysis on the network packets captured through data transfer in whatsapp web. In the result, we have explored the user activities such as message texting, contact sharing, voice message, location sharing, media transfer and status viewing. Packet level traffic analysis of user activities reveal patterns in the encrypted SSL communication. This pattern is identified across SSL packet lengths for WhatsApp media transfer and voice message communication. Other important features WhatsApp is the ability to view the status of the message being sent. We have identified the read and unread message status in these data packets by exposing signatures in the network layer. These signatures are identified with the help of the SSL lengths in the TLS header information of WhatsApp Web network traffic traces. Various other information on WhatsApp traffic presented in our study is relevant to the version of WhatsApp Web v0.3.2386.","PeriodicalId":148213,"journal":{"name":"Microprocess. Microsystems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130204287","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}
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