Abstract: A method for extracting, correlating, consolidating and presenting metadata from transmissions is provided. The method may include receiving a TCP/IP transmission. The transmission may include a header and a body. The method may include extracting an originating IP address from a location of the transmission. The location may be in the header or in the body. The IP address may be extracted in binary form. The method may include determining an accuracy and validity metric of the transmission using an artificial intelligence module. The method may include converting the extracted IP address from binary form into hexadecimal form. The method may include embedding the hexadecimal form of the IP address into one or more unused options of the header. The method may include processing the transmission. The processing may be completed upon determination that the transmission is a valid transmission.

Abstract: A method for extracting, correlating, consolidating and presenting metadata from transmissions is provided. The method may include receiving a TCP/IP transmission. The transmission may include a header and a body. The method may include extracting an originating IP address from a location of the transmission. The location may be in the header or in the body. The IP address may be extracted in binary form. The method may include determining an accuracy and validity metric of the transmission using an artificial intelligence module. The method may include converting the extracted IP address from binary form into hexadecimal form. The method may include embedding the hexadecimal form of the IP address into one or more unused options of the header. The method may include processing the transmission. The processing may be completed upon determination that the transmission is a valid transmission.

Abstract: A method for extracting, correlating, consolidating and presenting metadata from transmissions is provided. The method may include receiving a TCP/IP transmission. The transmission may include a header and a body. The method may include extracting an originating IP address from a location of the transmission. The location may be in the header or in the body. The IP address may be extracted in binary form. The method may include determining an accuracy and validity metric of the transmission using an artificial intelligence module. The method may include converting the extracted IP address from binary form into hexadecimal form. The method may include embedding the hexadecimal form of the IP address into one or more unused options of the header. The method may include processing the transmission. The processing may be completed upon determination that the transmission is a valid transmission.

Abstract: Systems and methods for self-referencing utilization calculation and dynamic resource allocation for digital transmissions are provided. Systems may include a target resource module configured to derive and store a target resource allocation for each sender from a plurality of senders. Systems may include a cost-calculation engine configured to generate a resource cost estimate for a transmission based on metadata associated with the transmission, and embed the resource cost estimate in the metadata. Systems may also include a resource allocation module configured to allocate digital resources for the transmission based on the metadata. Allocating digital resources for the transmission may reserve the digital resources for the transmission and prevent overloading of the digital resources.

Abstract: A method for extracting, correlating, consolidating and presenting metadata from transmissions is provided. The method may include receiving a TCP/IP transmission. The transmission may include a header and a body. The method may include extracting an originating IP address from a location of the transmission. The location may be in the header or in the body. The IP address may be extracted in binary form. The method may include determining an accuracy and validity metric of the transmission using an artificial intelligence module. The method may include converting the extracted IP address from binary form into hexadecimal form. The method may include embedding the hexadecimal form of the IP address into one or more unused options of the header. The method may include processing the transmission. The processing may be completed upon determination that the transmission is a valid transmission.

Abstract: Systems and methods for self-referencing utilization calculation and dynamic resource allocation for digital transmissions are provided. Systems may include a target resource module configured to derive and store a target resource allocation for each sender from a plurality of senders. Systems may include a cost-calculation engine configured to generate a resource cost estimate for a transmission based on metadata associated with the transmission, and embed the resource cost estimate in the metadata. Systems may also include a resource allocation module configured to allocate digital resources for the transmission based on the metadata. Allocating digital resources for the transmission may reserve the digital resources for the transmission and prevent overloading of the digital resources.

Abstract: A method for throttling an allocation of resources for processing digital transmissions is provided. The method may include receiving initial digital transmissions from a plurality of client systems and analyzing the initial digital transmissions. The analyzing may determine a cluster of digital transmissions, an amount of resources for processing the cluster and a time-window for processing the cluster. The method may further include allocating the determined amount of resources to each of the clusters. The method may also include processing recurrently, for each of the systems, digital transmissions received after the initial digital transmissions. Concurrently with the periodic processing, the method may include, for each client system, monitoring digital transmissions including recording a transmission log, identifying changes in the log, assigning a credibility score and throttling, dynamically, the amount of resources allocated, based on the credibility score and the identified change.