Abstract: Disclosed herein is a modular process plant structural system which includes numerous modules, all ISO-certified under ISO 1496 and capable of holding within the entire module at least one chemical (or non-chemical) production plant piece of equipment, capable of individually being shipped or transported. The modules can be stacked vertically, horizontally, or mixed (both vertical and horizontal arrangement). The modules are pre-fabricated offsite, built with the desired equipment within the module, pre-plumbed with piping, instrumentation, and electrical wiring, and then the multiple modules are shipped multimodally as ISO 1496 containers to the desired location and assembled to form a plant. Generally, two or more modules are connected together to form a complete plant. The plant can be of any type, e.g., chemical, mechanical/production, thermal, and the like, or of any size, e.g., production, small, micro, or pilot plant scale.

Abstract: Detection and notification of malware at a user device may be performed by a validation server. The user device may hash elements associated with a document object model of a webpage and send generated hash values to the validation server. The validation server may validate the hash values. Based on detection of hash values corresponding to elements maliciously-injected by malware, the validation server may send one or more notifications to other servers that may communicate with the user device.

Abstract: Detection and notification of malware at a user device may be performed by a validation server. The user device may hash elements associated with a document object model of a webpage and send generated hash values to the validation server. The validation server may validate the hash values. Based on detection of hash values corresponding to elements maliciously-injected by malware, the validation server may send one or more notifications to other servers that may communicate with the user device.

Abstract: Aspects of the disclosure relate to a payment device to detect real-time suspicious payment cards. Prior to a transaction, a payment device detects suspicious payment cards based on captured images of the payment card. An alert may be generated upon detection of any suspicious or fraudulent payment card. In some arrangements, institutions may share information regarding suspicious payment cards to prevent fraud. The payment device may utilize machine learning models or machine learning capabilities to detect suspicious payment cards. A characterization score may be generated and used to determine if a payment card is suspicious. The characterization scores may be updated based on different card issuer criteria and transaction use of each payment card.

Abstract: Aspects of the disclosure relate to a payment device to detect real-time suspicious payment cards. Prior to a transaction, a payment device detects suspicious payment cards based on captured images and determined indicia of the payment card. An alert may be generated upon detection of any suspicious or fraudulent payment card. In some arrangements, the payment device may utilize machine learning models or machine learning capabilities to detect suspicious payment cards. A characterization score may be generated and used to determine if a payment card is suspicious. The characterization scores may be updated based on different card issuer criteria and transaction use of each payment card.

Abstract: Aspects of this disclosure relate to detection and notification of malware at a user device. The user device may hash elements associated with a document object model of a webpage and send generated hash values to a validation server. The validation server may validate the hash values. Based on detection of hash values corresponding to elements maliciously-injected by malware, the validation server may send one or more notifications to other servers that may communicate with the user device.