Polynomial-Based Google Map Graphical Password System against Shoulder-Surfing Attacks in Cloud Environment
Text password systems are commonly used for identity authentication to access different kinds of data resources or services in cloud environment. However, in the text password systems, the main issue is that it is very hard for users to remember long random alphanumeric strings due to the long-term...
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2019/2875676 |
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| _version_ | 1850161108802863104 |
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| author | Zhili Zhou Ching-Nung Yang Yimin Yang Xingming Sun |
| author_facet | Zhili Zhou Ching-Nung Yang Yimin Yang Xingming Sun |
| author_sort | Zhili Zhou |
| collection | DOAJ |
| description | Text password systems are commonly used for identity authentication to access different kinds of data resources or services in cloud environment. However, in the text password systems, the main issue is that it is very hard for users to remember long random alphanumeric strings due to the long-term memory limitation of the human brain. To address this issue, graphical passwords are accordingly proposed based on the fact that humans have better memory for images than alphanumeric strings. Recently, a Google map graphical password (GMGP) system is proposed, in which a specific location of Google Map is preset as a password for authentication. Unfortunately, the use of graphical passwords increases the risk of exposing passwords under shoulder-surfing attacks. A snooper can easily look over someone’s shoulder to get the information of a location on map than a text password from a distance, and thus the shoulder-surfing attacks are more serious for graphical passwords than for text passwords. To overcome this issue, we design a polynomial-based Google map graphical password (P-GMGP) system. The proposed P-GMGP system can not only resist the shoulder-surfing attacks effectively, but also need much fewer challenge-response rounds than the GMGP system for authentication. Moreover, the P-GMGP system is extended to allow a user to be authenticated in cloud environment effectively and efficiently. |
| format | Article |
| id | doaj-art-fb3ada8a52954ef196d45c930ddb4e7f |
| institution | OA Journals |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-fb3ada8a52954ef196d45c930ddb4e7f2025-08-20T02:22:56ZengWileyComplexity1076-27871099-05262019-01-01201910.1155/2019/28756762875676Polynomial-Based Google Map Graphical Password System against Shoulder-Surfing Attacks in Cloud EnvironmentZhili Zhou0Ching-Nung Yang1Yimin Yang2Xingming Sun3Jiangsu Engineering Center of Network Monitoring, School of Computer and Software, Nanjing University of Information Science & Technology, Nanjing, ChinaDepartment of Computer Science and Information Engineering, National Dong Hwa University, Hualien, TaiwanDepartment of Computer Science, Lakehead University, Thunder Bay, CanadaJiangsu Engineering Center of Network Monitoring, School of Computer and Software, Nanjing University of Information Science & Technology, Nanjing, ChinaText password systems are commonly used for identity authentication to access different kinds of data resources or services in cloud environment. However, in the text password systems, the main issue is that it is very hard for users to remember long random alphanumeric strings due to the long-term memory limitation of the human brain. To address this issue, graphical passwords are accordingly proposed based on the fact that humans have better memory for images than alphanumeric strings. Recently, a Google map graphical password (GMGP) system is proposed, in which a specific location of Google Map is preset as a password for authentication. Unfortunately, the use of graphical passwords increases the risk of exposing passwords under shoulder-surfing attacks. A snooper can easily look over someone’s shoulder to get the information of a location on map than a text password from a distance, and thus the shoulder-surfing attacks are more serious for graphical passwords than for text passwords. To overcome this issue, we design a polynomial-based Google map graphical password (P-GMGP) system. The proposed P-GMGP system can not only resist the shoulder-surfing attacks effectively, but also need much fewer challenge-response rounds than the GMGP system for authentication. Moreover, the P-GMGP system is extended to allow a user to be authenticated in cloud environment effectively and efficiently.http://dx.doi.org/10.1155/2019/2875676 |
| spellingShingle | Zhili Zhou Ching-Nung Yang Yimin Yang Xingming Sun Polynomial-Based Google Map Graphical Password System against Shoulder-Surfing Attacks in Cloud Environment Complexity |
| title | Polynomial-Based Google Map Graphical Password System against Shoulder-Surfing Attacks in Cloud Environment |
| title_full | Polynomial-Based Google Map Graphical Password System against Shoulder-Surfing Attacks in Cloud Environment |
| title_fullStr | Polynomial-Based Google Map Graphical Password System against Shoulder-Surfing Attacks in Cloud Environment |
| title_full_unstemmed | Polynomial-Based Google Map Graphical Password System against Shoulder-Surfing Attacks in Cloud Environment |
| title_short | Polynomial-Based Google Map Graphical Password System against Shoulder-Surfing Attacks in Cloud Environment |
| title_sort | polynomial based google map graphical password system against shoulder surfing attacks in cloud environment |
| url | http://dx.doi.org/10.1155/2019/2875676 |
| work_keys_str_mv | AT zhilizhou polynomialbasedgooglemapgraphicalpasswordsystemagainstshouldersurfingattacksincloudenvironment AT chingnungyang polynomialbasedgooglemapgraphicalpasswordsystemagainstshouldersurfingattacksincloudenvironment AT yiminyang polynomialbasedgooglemapgraphicalpasswordsystemagainstshouldersurfingattacksincloudenvironment AT xingmingsun polynomialbasedgooglemapgraphicalpasswordsystemagainstshouldersurfingattacksincloudenvironment |