Proactive anti cyber-forensic activity detection and prevention
AssigneeBank of America Corporation
InventorVijay Kumar Yarabolu
Life of this patent
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Abstract
Computer-implemented cyber-security processes and machines provide proactive anti-forensics activity detection and prevention to safeguard the integrity of transactions and their associated log details or other data using artificial intelligence and/or machine learning, thereby ensuring that all transactions and logs within the system are complaint for cyber forensics, and helping to make reactive forensic tasks more robust by adding proactive monitoring and compliance activity.
Claims7
A cyber security process for proactive anti cyber-forensic activity detection and prevention that validates compliance hashes comprising the steps of:
- a. monitoring a flow of transaction requests from one or more streaming servers using a global session identifier to track each of said transaction requests from an origination point to a completion point;
- b. transmitting each of said transaction requests to a compliance watcher;
- c. utilizing an artificial-intelligence monitoring model trained to learn touch points for each kind of said transaction requests and the compliance watcher to determine whether to approve or deny each of said transaction requests based on whether hash tokens match, wherein said hash tokens comprise previous compliance and integrity tokens and current compliance and integrity tokens generated based on step descriptions and component codes, and wherein the current compliance and integrity tokens are generated by incorporating the previous compliance and integrity token with the current component code and step description to form a chained hash;
- d. transmitting an update request status to approve or deny each of said transaction requests based on whether said hash tokens match;
- e. storing each of said transaction requests that are approved in an application database and a compliance database;
- and
- f. storing the hash tokens in the compliance database to proactively preserve forensic evidence against tampering or concealment.
Dependencies are inferred from the claim text.