System and method for maintaining network security in a mesh network by analyzing IP stack layer information in communications

A computer program product for monitoring network security in a mesh network, the computer program product comprising at least one non-transitory computer-readable medium having computer-readable program code portions embodied therein, the computer-readable program code portions comprising:

• an executable portion configured to receive trust of service information relating to a user, wherein the trust of service information comprises one or more security details associated with at least one of a user device or a user network associated with the user;
• an executable portion configured to process the trust of service information using a machine learning model, wherein the machine learning model is configured to generate a security database and update information of the security database, wherein the information of the security database comprises historical trust of service information and data relating to known malfeasant activity;
• an executable portion configured to determine, using the machine learning model, a security level of a session involving the user based on the trust of service information relating to the user and the information of the security database;
• an executable portion configured to determine a security protocol for the session based on the determined security level, wherein the security protocol determines at least one of a user access level or an additional security measure;
• an executable portion configured to cause an execution of the session based on the security protocol determined;
• an executable portion configured to receive additional trust of service information during execution of the security protocol and update the determined security level during execution;
• and
• an executable portion configured to display the updated determined security level to a user device prior to completion of the session.

A computer-implemented method for monitoring network security in a mesh network, the method comprising:

• receiving trust of service information relating to a user, wherein the trust of service information comprises one or more security details associated with at least one of a user device or a user network associated with the user;
• processing the trust of service information using a machine learning model, wherein the machine learning model is configured to generate a security database and update information of the security database, wherein the information of the security database comprises historical trust of service information and data relating to known malfeasant activity;
• based on the trust of service information relating to the user and the information of the security database, determining, using the machine learning model, a security level of a session involving the user;
• based on the determined security level, determining a security protocol for the session, wherein the security protocol determines at least one of a user access level or an additional security measure;
• causing an execution of the session based on the security protocol determined;
• receiving additional trust of service information during execution of the security protocol and update the determined security level during execution;
• and
• displaying the updated determined security level to a user device prior to completion of the session.