Intrusion detection mechanism for security sensitive PCB components

    公开(公告)号:US12124571B2

    公开(公告)日:2024-10-22

    申请号:US17590037

    申请日:2022-02-01

    IPC分类号: G06F21/55 G06F21/75

    摘要: A system for detecting access to a security sensitive component on an electronic device includes a PCB-mounted connector that provides read/write access to a security sensitive component on the PCB. The system further includes a connector cap that mates with at least a portion of the connector and that includes circuitry that facilitates current flow across at least a portion of the PCB-mounted connector when the connector cap is mated with the PCB-mounted connector, When removed from the PCB-mounted connector, the current flow is disrupted. The system further includes an intrusion detection controller that monitors a voltage at a sampling point adjacent to detect removal of the connector cap and to generate an intrusion logfile entry in response.

    PHYSICAL UNCLONABLE FUNCTION DEVICE AND METHOD

    公开(公告)号:US20240296253A1

    公开(公告)日:2024-09-05

    申请号:US18661060

    申请日:2024-05-10

    发明人: Francesco La Rosa

    摘要: An embodiment system comprises a physical unclonable function device, wherein the device comprises a first assembly of non-volatile memory cells each having a selection transistor embedded in a semiconductor substrate and a depletion-type state transistor having a control gate and a floating gate that are electrically connected, the state transistors having respective effective threshold voltages belonging to a common random distribution, and a processing circuit configured to deliver, to an output interface of the device, a group of output data based on a reading of the effective threshold voltages of the state transistors of the memory cells of the first assembly.

    MACHINE LEARNING ATTACK RESISTANT STRONG PUF WITH DUAL-EDGE SAMPLING FUNCTION

    公开(公告)号:US20240169100A1

    公开(公告)日:2024-05-23

    申请号:US18179385

    申请日:2023-03-07

    IPC分类号: G06F21/75 H04L9/32

    CPC分类号: G06F21/75 H04L9/3278

    摘要: A machine learning attack resistant strong PUF with a dual-edge sampling function comprises switch units, a first arbiter and a second arbiter. The first arbiter is for determining a sequential order of delays at a rising edge of signals input to a first input terminal and a second input terminal of the first arbiter. The second arbiter is for determining a sequential order of delays at a falling edge of signals input to a first input terminal and a second input terminal of the second arbiter. Each switch unit is composed of eight MOS transistors. The strong PUF has a high capacity to resist machine learning attacks and small hardware expenditure through simple structural design of the switch units, realizing machine learning attack resistance and small hardware expenditure at the same time, and generating a large number of challenge response pairs through dual-edge sampling realized by the two arbiters.

    SECURITY MEASURES FOR SIGNAL PATHS WITH TREE STRUCTURES

    公开(公告)号:US20240012946A1

    公开(公告)日:2024-01-11

    申请号:US18371045

    申请日:2023-09-21

    申请人: Arm Limited

    摘要: Security measures for signal paths with tree structures can be implemented at design phase using an EDA software program or tool with security feature functionality that, when executed by a computing system, directs the computing system to: display a canvas through which components of a circuit are arranged; and provide a menu of commands, including an option to add components from a library to the canvas and an option to secure a tree. In response to receiving a selection of the option to secure the tree, the system can be directed to add a hardware countermeasure coupled to at least two lines or terminal nodes of a tree structure identified from components on the canvas or in a netlist corresponding to a circuit's design.