Abstract: A method for manufacturing a LiDAR device is proposed. The method may include providing a LiDAR module including a laser emitting module and a laser detecting module to a target region. The method may also include adjusting, on the basis of first detecting data obtained from the laser detecting module, a relative position of a detecting optic module with respect to the laser detecting module. The method may further include adjusting, on the basis of image data obtained from at least one image sensor, a relative position of an emitting optic module with respect to the laser emitting module.

Abstract: A detection system of a suspicious malicious website using the analysis of a JavaScript obfuscation strength, which includes: an entropy measuring processor of measuring an entropy of an obfuscated JavaScript present in the website, a special character entropy, and a variable/function name entropy; a frequency measuring processor of measuring a specific function frequency, an encoding mark frequency and a % symbol frequency of the JavaScript; a density measuring processor of measuring the maximum length of a single character string of the JavaScript; and a malicious website confirming processor of determining whether the relevant website is malicious by comparing an obfuscation strength value, measured by the entropy measuring processor, the frequency measuring processor and the density measuring processor, with a threshold value.

Abstract: A system and method for collecting a URL using a retrieval service of an SNS capable of accurately and effectively extracting and collecting information including a malicious code among information exchanged in an SNS are provided. URL information included in post (a bulletin script, a message, a note, or the like) exchanged in an SNS based on real-time search word information is extracted and collected to be utilized for collecting a malicious code in the SNS, whereby generation of a malicious code in the SNS can be prevented in advance, and thus, damage to users due to infection of a malicious code can be significantly reduced. In addition, the URL information can be effectively collected through crawling.

Abstract: Disclosed herein is a PDF document type malicious code detection system for efficiently detecting a malicious code embedded in a document type and a method thereof. The present invention may perform a dynamic and static analysis on JavaScript within a PDF document, and execute the PDF document to perform a PDF dynamic analysis, thereby achieving an effect of efficiently extracting a malicious code embedded in the PDF document.