Claims:In this invention on System and Method to Detect Fake Profiles in Social Media we claim that:
1. The System and Methods to Detect Fake Profiles in Social Media (SMDFP) helps the social media organization can make use of the SMDFP to match the new user with existing user details and activities to identify whether the new user is fake or not. The user database is used to store all the user account details in the database. User friends list is the number of friends in his/her contact list. The chat history can contain the time of chat and content of chat to a specific friend. The user account details give the full information about the user and the IP address provides where the user normally connected with which device.
2. As a system in Claim 1, user profile photo and photo gallery helps to analyze the multimedia communication between the friend's list. Cloud storage provides the facility to store all social media information in the cloud for centralized access. The above-mentioned information is matched with existing user profiles with a new user profile to compare their similarity.
3. As a system in Claim 1, if similarity exists then the new user profile will assign a similarity score. The process gets continued up until to score reaches the threshold value. Once the score reaches the threshold value then the new user profile will automatically be blocked. The SMDFP control unit helps to monitoring and managing the successful functioning of the whole SMDFP system. By using this SMDFP, the social media organization can make use of the SMDFP to match the new user with existing user details and activities to identify whether the new user is fake or not.
, Description:4. Description:
Field of Invention:
The System and Methods to Detect Fake Profiles in Social Media (SMDFP) helps the social media organization can make use of the SMDFP to match the new user with existing user details and activities to identify whether the new user is fake or not. The user database is used to store all the user account details in the database. User friends list is the number of friends in his/her contact list. The chat history can contain the time of chat and content of chat to a specific friend. The user account details give the full information about the user and the IP address provides where the user normally connected with which device. User profile photo and photo gallery helps to analyze the multimedia communication between the friend's list. Cloud storage provides the facility to store all social media information in the cloud for centralized access. The above-mentioned information is matched with existing user profiles with a new user profile to compare their similarity. If similarity exists then the new user profile will assign a similarity score. The process gets continued up until to score reaches the threshold value. Once the score reaches the threshold value then the new user profile will automatically be blocked. The SMDFP control unit helps to monitoring and managing the successful functioning of the whole SMDFP system. By using this SMDFP, the social media organization can make use of the SMDFP to match the new user with existing user details and activities to identify whether the new user is fake or not.

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The System and Methods to Detect Fake Profiles in Social Media (SMDFP) is getting starts its process by activating the SMDFP for the social media organization can make use of the SMDFP to match the new user with existing user details and activities to identify whether the new user is fake or not. The user database is used to store all the user account details in the database. User friends list is the number of friends in his/her contact list. The chat history can contain the time of chat and content of chat to a specific friend. The user account details give the full information about the user and the IP address provides where the user normally connected with which device. User profile photo and photo gallery helps to analyze the multimedia communication between the friend's list. Cloud storage provides the facility to store all social media information in the cloud for centralized access. The above-mentioned information is matched with existing user profiles with a new user profile to compare their similarity. If similarity exists then the new user profile will assign a similarity score. The process gets continued up until to score reaches the threshold value. Once the score reaches the threshold value then the new user profile will automatically be blocked. The SMDFP control unit helps to monitoring and managing the successful functioning of the whole SMDFP system. By using this SMDFP, the social media organization can make use of the SMDFP to match the new user with existing user details and activities to identify whether the new user is fake or not. The SMDFP can be deactivated when the requirement gets over. The SMDFP can be implemented in any social media.
Claims:
In this invention on System and Method to Detect Fake Profiles in Social Media we claim that:
1. The System and Methods to Detect Fake Profiles in Social Media (SMDFP) helps the social media organization can make use of the SMDFP to match the new user with existing user details and activities to identify whether the new user is fake or not. The user database is used to store all the user account details in the database. User friends list is the number of friends in his/her contact list. The chat history can contain the time of chat and content of chat to a specific friend. The user account details give the full information about the user and the IP address provides where the user normally connected with which device.
2. As a system in Claim 1, user profile photo and photo gallery helps to analyze the multimedia communication between the friend's list. Cloud storage provides the facility to store all social media information in the cloud for centralized access. The above-mentioned information is matched with existing user profiles with a new user profile to compare their similarity.
3. As a system in Claim 1, if similarity exists then the new user profile will assign a similarity score. The process gets continued up until to score reaches the threshold value. Once the score reaches the threshold value then the new user profile will automatically be blocked. The SMDFP control unit helps to monitoring and managing the successful functioning of the whole SMDFP system. By using this SMDFP, the social media organization can make use of the SMDFP to match the new user with existing user details and activities to identify whether the new user is fake or not.
Description of Drawings:
For the detailed understanding of the invention the explanations with reference to the figures are given below.
Figure 1: represents the block diagram of the proposed system
Figure 2: represents the flow of operations of the proposed system
Figure 3: represents a working of the proposed system