{"title":"Identifying the source of movie piracy: cryptographic fingerprinting for tracking movie content","authors":"ArulKumaran Chandrasekaran","doi":"10.18203/issn.2454-2156.intjscirep20232149","DOIUrl":null,"url":null,"abstract":"Background: The unauthorized distribution of movies through piracy has become a widespread issue affecting both movie studios and OTT streaming partners. This research introduces a novel method utilizing cryptographic fingerprinting to track movie content, with the goal of identifying the precise source of piracy.\nMethods: The developed specialized software that utilizes the cryptographic fingerprinting algorithm to analyze pirated movie content obtained from various online piracy platforms. The software employs computer vision techniques to identify the source of piracy, including the specific theatre, showtime, and recording location within the theatre. \nResults: Our experiments demonstrated the effectiveness of the proposed cryptographic fingerprinting approach. The software successfully detected and analyzed pirated movie content from a wide range of online piracy platforms.\nConclusions: The cryptographic fingerprinting technique allows for the identification of the source of piracy, including the specific theatre, showtime, and recording location within the theatre. By swiftly reporting these details, our software aims to aid in the prevention of future piracy incidents, ultimately eliminating the source of piracy.","PeriodicalId":14297,"journal":{"name":"International Journal of Scientific Reports","volume":"27 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Scientific Reports","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18203/issn.2454-2156.intjscirep20232149","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background: The unauthorized distribution of movies through piracy has become a widespread issue affecting both movie studios and OTT streaming partners. This research introduces a novel method utilizing cryptographic fingerprinting to track movie content, with the goal of identifying the precise source of piracy.
Methods: The developed specialized software that utilizes the cryptographic fingerprinting algorithm to analyze pirated movie content obtained from various online piracy platforms. The software employs computer vision techniques to identify the source of piracy, including the specific theatre, showtime, and recording location within the theatre.
Results: Our experiments demonstrated the effectiveness of the proposed cryptographic fingerprinting approach. The software successfully detected and analyzed pirated movie content from a wide range of online piracy platforms.
Conclusions: The cryptographic fingerprinting technique allows for the identification of the source of piracy, including the specific theatre, showtime, and recording location within the theatre. By swiftly reporting these details, our software aims to aid in the prevention of future piracy incidents, ultimately eliminating the source of piracy.