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Prevent impersonation in social networks Disclosure Number: IPCOM000242195D
Publication Date: 2015-Jun-24
Document File: 3 page(s) / 137K

Publishing Venue

The Prior Art Database


A system and method to prevent impersonation in social networks is disclosed.

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Prevent impersonation in social networks

Disclosed is a system and method to prevent impersonation in social networks.

Impersonation/Identity theft/fraud has become a security and privacy problem in social networks. Impersonators can create an account to impersonate other users. There is no automatic means provided by any social network today to automatically detect accounts with similar content, or alert users that an account similar to his/hers exists.

The disclosed system and method would provide the following features:
1. Automatic detection on accounts with suspicious posting of similar content which

may be related to impersonation.

2. Notification to account owners that a second account with similar content exists,

where the owner of the second account does not behave the same as the first account


An embodiment of the system would have the social network service provider include account activities analysis and discovery to gain insight on accounts with similar content

such as pictures, videos, relationships etc. If two accounts contain pictures of the same group of people, these two accounts could be related. Social network provider could analyze account owners' behaviors for the ones that have similar content. If account owner 1 posts always posts pictures in the morning between 8-9am from Sydney, while

account owner 2 with similar account content always posts picture around midnight

from New York, the social network provider will be able to detect the discrepancy in the behavior from the two users, and raise the suspicion level.

The next step for the social network service provider is to ask the account owners to confirm their behavior. For example, the social network service provider can ask account owner 1 if he/she posts pictures at midnight, or if he/she has been talking to Mary lately. Mary could be a friend who has been interacting with account owner 2 lately. Once the user has confirmed that he/she has not behaved that way, the system

will generate awareness to the account owners about the existence of another account

that is very similar to theirs in terms of content.

The following are examples steps to implement the disclosed system:

1. User declare preferences:

When a user opens a new account with a social network, the social network

would ask the user if he/she is likely to open multiple accounts. If the user say no, the social network would know that future accounts that has similar profile and content could be suspicious. If user say yes, the social network would know that there may be multiple accounts with similar content could be related to the same user.

2. Detection of similar account via content analysis:

Content includes profile information (name, email addresses, phone number, birthday, education etc), pictures, v...