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Attribute-Based Non-Interactive Privacy-Protected Crowd-Sourcing Software Testing Engineer Selection Mechanism
The central management platforms in traditional crowd-sourced software testing networks are easy to become the target of attack by the enemies, and when the central management platform is attacked, it is easy to cause a single point of failure and bring the whole system down. In addition, when selec...
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creator | Yang, Qiliang Cai, Lizhi Gong, Jiayu Tang, Minlu Lin, Yi |
description | The central management platforms in traditional crowd-sourced software testing networks are easy to become the target of attack by the enemies, and when the central management platform is attacked, it is easy to cause a single point of failure and bring the whole system down. In addition, when selecting software testing engineers for crowd-sourcing software testing tasks, most mechanisms select engineers based on their credits. This approach is too one-sided and fails to achieve fine-grained engineer selection. In order to solve above problems, we have proposed a non-interactive and fine-grained crowd-sourcing software testing engineer selection mechanism. In our mechanism, the task publisher can select engineers according to their attributes. Next, we have given an implementation of our non-interactive software testing engineer selection mechanism by applying QAP. The privacy of task publisher and engineers is protected. The security proof is also given. Simulation results show that our mechanism is feasible. |
doi_str_mv | 10.1109/QRS-C57518.2022.00040 |
format | conference_proceeding |
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Simulation results show that our mechanism is feasible.</description><subject>Attribute-based</subject><subject>Crowd-sourcing Software Testing</subject><subject>Non-interactive</subject><subject>Privacy</subject><subject>Privacy-protected</subject><subject>Reliability engineering</subject><subject>Security</subject><subject>Simulation</subject><subject>Software quality</subject><subject>Software reliability</subject><subject>Software testing</subject><subject>Software Testing Engineer Selection</subject><issn>2693-9371</issn><isbn>9798350319910</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2022</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotj99KwzAYxaMgOObeQKEvkJkvf5rmcpapg6nT7n6k6dcZ2VJJs429vRW9OnD4ncM5hNwBmwIwc__-UdFSaQXFlDPOp4wxyS7IxGhTCMUEGAPskox4bgQ1QsM1mfT914AJPpDARyTMUoq-PiSkD7bHJnvtAl2EhNG65I-YraI_Wnemq9gldGkgytidGlp1h-h82GZV16aTjZitsU-_xjxsfUCMWYW7IeG7kL2g-7TB9_sbctXaXY-Tfx2T9eN8XT7T5dvTopwtqR-GJapRWC6VaBtwzEEhWxgeWWU0SGlzqwXynDtuCufAuVZja7DQda6kUbUUY3L7V-sRcfMd_d7G8wYY07lRSvwA8yVb_w</recordid><startdate>202212</startdate><enddate>202212</enddate><creator>Yang, Qiliang</creator><creator>Cai, Lizhi</creator><creator>Gong, Jiayu</creator><creator>Tang, Minlu</creator><creator>Lin, Yi</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>202212</creationdate><title>Attribute-Based Non-Interactive Privacy-Protected Crowd-Sourcing Software Testing Engineer Selection Mechanism</title><author>Yang, Qiliang ; Cai, Lizhi ; Gong, Jiayu ; Tang, Minlu ; Lin, Yi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i204t-7e3a2453fd1c0c184f1983a597144a6a73e262c298cc1ccf7ef9e87b65495b43</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Attribute-based</topic><topic>Crowd-sourcing Software Testing</topic><topic>Non-interactive</topic><topic>Privacy</topic><topic>Privacy-protected</topic><topic>Reliability engineering</topic><topic>Security</topic><topic>Simulation</topic><topic>Software quality</topic><topic>Software reliability</topic><topic>Software testing</topic><topic>Software Testing Engineer Selection</topic><toplevel>online_resources</toplevel><creatorcontrib>Yang, Qiliang</creatorcontrib><creatorcontrib>Cai, Lizhi</creatorcontrib><creatorcontrib>Gong, Jiayu</creatorcontrib><creatorcontrib>Tang, Minlu</creatorcontrib><creatorcontrib>Lin, Yi</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Yang, Qiliang</au><au>Cai, Lizhi</au><au>Gong, Jiayu</au><au>Tang, Minlu</au><au>Lin, Yi</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Attribute-Based Non-Interactive Privacy-Protected Crowd-Sourcing Software Testing Engineer Selection Mechanism</atitle><btitle>2022 IEEE 22nd International Conference on Software Quality, Reliability, and Security Companion (QRS-C)</btitle><stitle>QRS-C</stitle><date>2022-12</date><risdate>2022</risdate><spage>1</spage><epage>7</epage><pages>1-7</pages><eissn>2693-9371</eissn><eisbn>9798350319910</eisbn><coden>IEEPAD</coden><abstract>The central management platforms in traditional crowd-sourced software testing networks are easy to become the target of attack by the enemies, and when the central management platform is attacked, it is easy to cause a single point of failure and bring the whole system down. In addition, when selecting software testing engineers for crowd-sourcing software testing tasks, most mechanisms select engineers based on their credits. This approach is too one-sided and fails to achieve fine-grained engineer selection. In order to solve above problems, we have proposed a non-interactive and fine-grained crowd-sourcing software testing engineer selection mechanism. In our mechanism, the task publisher can select engineers according to their attributes. Next, we have given an implementation of our non-interactive software testing engineer selection mechanism by applying QAP. The privacy of task publisher and engineers is protected. The security proof is also given. Simulation results show that our mechanism is feasible.</abstract><pub>IEEE</pub><doi>10.1109/QRS-C57518.2022.00040</doi><tpages>7</tpages></addata></record> |
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identifier | EISSN: 2693-9371 |
ispartof | 2022 IEEE 22nd International Conference on Software Quality, Reliability, and Security Companion (QRS-C), 2022, p.1-7 |
issn | 2693-9371 |
language | eng |
recordid | cdi_ieee_primary_10076955 |
source | IEEE Xplore All Conference Series |
subjects | Attribute-based Crowd-sourcing Software Testing Non-interactive Privacy Privacy-protected Reliability engineering Security Simulation Software quality Software reliability Software testing Software Testing Engineer Selection |
title | Attribute-Based Non-Interactive Privacy-Protected Crowd-Sourcing Software Testing Engineer Selection Mechanism |
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