{"title":"通过选择性视频加密保护监控系统中的隐私","authors":"Mr. Nandish M","doi":"10.55041/ijsrem34554","DOIUrl":null,"url":null,"abstract":"The \"Privacy Preservation in Surveillance Video Using Selective Encryption\" study addresses the issue of privacy in surveillance videos. Video surveillance systems are widely deployed in many public places such as banks, supermarkets, airports, roads, and residential areas. However, the privacy of individuals in these videos is a major concern. The proposed system aims to conceal faces while not interfering with the observation and recognition of human activities. The system uses selective encryption to encrypt only the face region of the frames while other parts of the frame are retained as it is. The proposed method is reversible for revealing faces whenever needed to the authorized person using proper secret keys. The project also aims to ensure the security of the encryption algorithm used and provide a user-friendly interface for ease of use. Overall, this study aims to provide an efficient and scalable solution to the problem of privacy in surveillances.","PeriodicalId":13661,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Protecting Privacy in Surveillance Systems via Selective Video Encryption\",\"authors\":\"Mr. Nandish M\",\"doi\":\"10.55041/ijsrem34554\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The \\\"Privacy Preservation in Surveillance Video Using Selective Encryption\\\" study addresses the issue of privacy in surveillance videos. Video surveillance systems are widely deployed in many public places such as banks, supermarkets, airports, roads, and residential areas. However, the privacy of individuals in these videos is a major concern. The proposed system aims to conceal faces while not interfering with the observation and recognition of human activities. The system uses selective encryption to encrypt only the face region of the frames while other parts of the frame are retained as it is. The proposed method is reversible for revealing faces whenever needed to the authorized person using proper secret keys. The project also aims to ensure the security of the encryption algorithm used and provide a user-friendly interface for ease of use. Overall, this study aims to provide an efficient and scalable solution to the problem of privacy in surveillances.\",\"PeriodicalId\":13661,\"journal\":{\"name\":\"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.55041/ijsrem34554\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.55041/ijsrem34554","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Protecting Privacy in Surveillance Systems via Selective Video Encryption
The "Privacy Preservation in Surveillance Video Using Selective Encryption" study addresses the issue of privacy in surveillance videos. Video surveillance systems are widely deployed in many public places such as banks, supermarkets, airports, roads, and residential areas. However, the privacy of individuals in these videos is a major concern. The proposed system aims to conceal faces while not interfering with the observation and recognition of human activities. The system uses selective encryption to encrypt only the face region of the frames while other parts of the frame are retained as it is. The proposed method is reversible for revealing faces whenever needed to the authorized person using proper secret keys. The project also aims to ensure the security of the encryption algorithm used and provide a user-friendly interface for ease of use. Overall, this study aims to provide an efficient and scalable solution to the problem of privacy in surveillances.