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    • 1. 发明申请
    • CROSS-LAYER AUTOMATED NETWORK VULNERABILITY IDENTIFICATION AND LOCALIZATION
    • US20230094656A1
    • 2023-03-30
    • US17954295
    • 2022-09-27
    • AMITAV MUKHERJEE
    • AMITAV MUKHERJEE
    • H04W12/121H04L9/40
    • Embodiments herein include an alternative approach to vulnerability detection, denoted as an automated network vulnerability identification and localization application (ANVIL). More specifically, a network includes multiple hardware and software-based entities that communicate with each other over standardized or proprietary protocol interfaces with the objective of providing data, computing capabilities, or voice connectivity to an end user such as a mobile device. For example, a device-based or core network-based instance of ANVIL emulates different protocol layers in order to periodically scan and probe the message responses of different protocol layers and the accessibility of different network interfaces to unauthorized users. Fuzzing message responses are used to generate new fuzzing messages based on machine learning techniques in order to localize potential vulnerabilities. Multiple protocol layers and communication protocols may be emulated and multiple network entities may be probed by a single instance of ANVIL. The responses of the network to the fuzzing messages and port scans are collated by ANVIL and reported to an administrator via a dashboard that highlights potential vulnerabilities in the network and suggested remedies.