Abstract: A computing module is described herein, wherein the computing module is configured to perform acts including generating a digital signature for a printed circuit board (PCB), wherein the digital signature is based upon a sensor signal generated by a sensor that is electrically coupled to at least one of a trace of the PCB or an electrical component of the PCB. The acts further include determining that the PCB is authentic and is free of tampering based upon the digital signature. The acts additionally include outputting an indication that the PCB is authentic and is free of tampering responsive to determining that the PCB is authentic and is free of tampering.

Abstract: The various technologies presented herein relate to determining a network attack is taking place, and further to adjust one or more network parameters such that the network becomes dynamically configured. A plurality of machine learning algorithms are configured to recognize an active attack pattern. Notification of the attack can be generated, and knowledge gained from the detected attack pattern can be utilized to improve the knowledge of the algorithms to detect a subsequent attack vector(s). Further, network settings and application communications can be dynamically randomized, wherein artificial diversity converts control systems into moving targets that help mitigate the early reconnaissance stages of an attack. An attack(s) based upon a known static address(es) of a critical infrastructure network device(s) can be mitigated by the dynamic randomization.