Abstract:
An apparatus and method for collecting the radio frequency (RF) feature of a wireless device in a wireless communication apparatus are disclosed herein. The RF feature extraction unit adds a tag having a unique value to a received radio signal, and extracts RF feature information from the radio signal. The MAC information extraction unit extracts the source MAC address and tag information of a MAC protocol frame from the received radio signal, and then removes the added tag. The tag comparison unit selects an source MAC address and RF feature information, when the tags have the same value, from the RF feature information and tag information from the RF feature extraction unit and the source MAC address and tag information from the MAC information extraction unit. The RF feature storage unit stores the selected source MAC address and RF feature information.
Abstract:
Disclosed herein is an apparatus for analyzing the vulnerability of a wireless local area network (LAN). The apparatus includes a collection unit, an analysis unit, and an attack unit. The collection unit collects packets transmitted and received in a wireless LAN service. The analysis unit analyzes the state of a network using the collected packets. The attack unit makes a wireless attack against an attack target using the state of the network, and controls the mode switching of a device driver based on an operating mode.
Abstract:
An apparatus and a method for identifying a rogue device having a media access control (MAC) address counterfeited/forged when a wireless intrusion prevention system controls an access to an access point (AP) and a wireless terminal which are not applied are disclosed. The apparatus includes: a sensor unit configured to collect MAC addresses, RSSI values, and RF feature values based on RF signals of wireless terminals; an RF feature database configured to store the collected MAC addresses, RSSI values, and RF feature values; and a terminal identification unit configured to identify whether a MAC of any one of the wireless terminals is forged by comparing information of the RF feature database with the RSSI value and the RF feature value of any one of the wireless terminals according to a MAC verification request of any one of the wireless terminals from the sensor unit.
Abstract:
Disclosed herein are an apparatus and method for transmitting fuzzing data. The apparatus may include one or more processors and executable memory for storing at least one program executed by the one or more processors. The at least one program may collect context information pertaining to a one-way fuzzing target device that uses a one-way protocol, may determine the execution state of the one-way fuzzing target device by analyzing the context information, and may transmit fuzzing data to the one-way fuzzing target device based on the result of determination of the execution state.
Abstract:
Disclosed herein are an apparatus and method for transmitting fuzzing data. The apparatus may include one or more processors and executable memory for storing at least one program executed by the one or more processors. The at least one program may collect context information pertaining to a one-way fuzzing target device that uses a one-way protocol, may determine the execution state of the one-way fuzzing target device by analyzing the context information, and may transmit fuzzing data to the one-way fuzzing target device based on the result of determination of the execution state.
Abstract:
Disclosed herein are a dynamic memory management apparatus and method and a computer-readable storage medium for the same. The dynamic memory management method includes defining a shadow area mapped to a memory area, setting a coloring value in the shadow area, and permitting or denying access to the memory area based on the coloring value when accessing the memory area.
Abstract:
Disclosed herein are a method for automated fuzzing for an IoT device based on automated reset and an apparatus using the same. The method includes loading, by the apparatus, a fuzzing agent into an IoT device based on firmware; monitoring, by the apparatus, the status of processing of fuzzing input by the IoT device based on the fuzzing agent; collecting, by the apparatus, fuzzing data corresponding to occurrence of a crash based on hooking using the fuzzing agent when the crash occurs in the IoT device; and resetting, by the apparatus, the IoT device based on the fuzzing agent.