Nec Corporation

Norio Yamagaki

Hiroaki Aminaka

Dai Kanetomo

Kazushi Muraoka

Taichi Ohtsuji

Takashi Yoshinaga

Hirofumi Ueda

Norihito Fujita

Kiyohisa Ichino

Shunichi Kinoshita

Tomohiko Yagyu

Yoshinobu Ohta

Yuto Hayaki

Yasuhiko Matsunaga

Satoshi Kamiya

Masato Yasuda

Kazumine Ogura

Gen Motoyoshi

A tracking support system includes a position calculating section connected with a plurality of cameras arranged in a predetermined monitoring area to transmit video images imaged by the plurality of cameras and configured to calculate a position of the tracking target based on the video images received from the plurality of cameras; a tracker selecting section configured to select a tracker to be instructed to track the tracking target, based on position information of the terminal received from the terminal and the calculated position of the tracking target; and an information transmitting section configured to transmit information of a distance between the tracking target and the terminal during the tracking of the tracking target to the terminal carried by the selected tracker.

Tracking support apparatus, terminal, tracking support system, tracking support method and program

A device includes: an input/output unit configured to receive input of the binary of the software to be monitored in which a tamper detection feature and tamper detection feature calling functions are embedded; a CFG (control flow graph) generation unit configured to generate a CFG based on the binary; and an allowed list creation unit configured to determine the monitoring range for the tamper detection feature calling functions based on the CFG. The allowed list creation unit sequentially selects the tamper detection feature calling functions on the CFG, adds a node to the monitoring range for the selected tamper detection feature calling functions according to a predetermined rule, searches for the tamper detection feature calling function to be be executed next to the added node according to the predetermined rule, and adds the found tamper detection feature calling function to the monitoring range for the selected tamper detection feature calling functions.

Monitoring range determination device, monitoring range determination method, and computer readable medium

A device inputs a first source code, which is source code of the software to be monitored; builds the first source code to generate a first binary; generates a first CFG based on the first binary; embeds a tamper detection feature and tamper detection feature calling functions in a first source code based on the first CFG to generate a second source code, builds a second source code to generate a second binary; generates a second CFG based on the second binary; creates an allowed list based on the second binary and the second CFG, and outputs the second binary and the allowed list. Here, in creating the allowed list, the monitoring range for the tamper detection feature calling functions is determined based on the second CFG, and a list of hash values of the monitoring range for the tamper detection feature calling functions is created as an allowed list.

Tamper detection feature embedding device, tamper detection feature embedding method, and computer readable medium

Provided is an analysis system that allows a security administrator to understand the impact of known vulnerabilities on the system to be diagnosed. The topology identification unitidentifies network topology of devices included in a system to be diagnosed. The analysis unitgenerates an attack pattern that includes an attack condition, an attack result, an attack means that is vulnerability that is used by an attack, and a segment where the attack can occur in the system to be diagnosed. The display control unitdisplays segments included in attack patterns superimposed on the network topology, on a display device. At this time, the display control unitchanges a display mode of the segment according to a type of the vulnerability that corresponds to the attack means included in the attack pattern including the segment.

Analysis system, method, and program

Provided is an analysis system that can analyze the degree of impact of vulnerability on individual systems. An analysis unitgenerates an attack pattern that includes an attack condition, an attack result, an attack means that is vulnerability that is used by an attack, and a segment where the attack can occur in a system to be diagnosed. A calculation unitcalculates an evaluation value, for each vulnerability, which indicates degree of impact of the vulnerability on the system to be diagnosed. Specifically, the calculation unitcalculates the evaluation value, for each vulnerability, based on the number of the attack patterns that include the vulnerability focused on as the attack means and the number of the segments indicated by each attack pattern that includes the vulnerability focused on as the attack means.

A video collection system includes: a plurality of terminals; and a video collection server that requests at least one of the plurality of terminals to perform information provision. The video collection server includes a calculation part, a determination part, and a request part. The calculation part calculates, based on information acquired from a camera(s), a first area(s) imaged by the camera(s). The determination part determines a second area(s) as an information provision target(s) based on a location(s) of the first area(s). The request part selects, based on respective locations of the plurality of terminals and a location(s) of the second area(s), a terminal(s) to be requested to perform the information provision from the plurality of terminals and requests the selected terminal(s) to provide video data of the second area(s).

Video collection system, video collection server, video collection method, and program

A image processing apparatus according to an aspect of the present invention includes: determination unitthat determines a first region based on an occurrence position where a phenomenon is estimated to occur in an image; and setting unitthat sets a first condition in which the first region is encoded, and a second condition in which a second region included in the image and being a region other than the first region is encoded in such a way that the first region enhances image quality as compared with the second region.

Image processing apparatus, image processing method, and storage medium having program stored therein

Provided are a communications state determination device, etc., capable of improving the accuracy of network state specification. This communications state estimation device comprises: a setting means that, in accordance with given communications parameters, applies the communications parameters to a communications device that determines the occurrence of communications errors in communications with a communications destination device; a detection means that sends communications instructions to the communications device that performs communications, in accordance with received communications instructions, and detects the occurrence of communications errors that have been determined in the communications that are in accordance with the instructions; and an estimation means that estimates whether or not the communications device can perform the communications, on the basis of the communications parameters and the existence or otherwise of communications errors.

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Tokyo, Japan

Norio Yamagaki