{"title":"Filtering unwanted messages from OSN walls","authors":"Priyanka Salunkhe, Smita Bharne, Puja Padiya","doi":"10.1109/ICICCS.2016.7542319","DOIUrl":null,"url":null,"abstract":"Online Social Networking sites (OSNs) helps to connect people easily. There are various online social sites that are available like Facebook, Twitter etc. which brought world closer. In OSN, user creates an account on social sites after which they are able to perform various actions like adding friends, sharing videos and images. OSN sites provide some space or area to post the status such a space is called Wall. But sometimes people post offensive messages on a particulars wall which may cause a serious problem to user's reputation. To avoid such kind of serious problem we can apply Information Filtering (IF) technique. Information filtering can be used for formless data in contrast to database application in which data required is in ordered manner. There are various types of Information Filtering methods namely Content-based filtering method, Policy-based filtering method and Collaboration filtering method. This paper focuses on analyzing methodology Information Filtering on social networks.","PeriodicalId":389065,"journal":{"name":"2016 International Conference on Innovation and Challenges in Cyber Security (ICICCS-INBUSH)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Innovation and Challenges in Cyber Security (ICICCS-INBUSH)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICCS.2016.7542319","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
Online Social Networking sites (OSNs) helps to connect people easily. There are various online social sites that are available like Facebook, Twitter etc. which brought world closer. In OSN, user creates an account on social sites after which they are able to perform various actions like adding friends, sharing videos and images. OSN sites provide some space or area to post the status such a space is called Wall. But sometimes people post offensive messages on a particulars wall which may cause a serious problem to user's reputation. To avoid such kind of serious problem we can apply Information Filtering (IF) technique. Information filtering can be used for formless data in contrast to database application in which data required is in ordered manner. There are various types of Information Filtering methods namely Content-based filtering method, Policy-based filtering method and Collaboration filtering method. This paper focuses on analyzing methodology Information Filtering on social networks.