Abstract: A wheel for reducing a resonance noise in a vehicle may include a cylindrical-shaped rim on which a tire is mounted, and waveguides mounted on the rim, disposed in a cavity which is a space between the rim and the tire, having a ‘U’-shaped internal passage through which a sound wave generated in the cavity enters, and configured to reflect the sound wave entering the internal passage to generate a sound wave having an inverse phase, wherein a center portion of the internal passage extends in an axial direction of the rim, and first and second end portions of the internal passage are connected to a center portion of the internal passage to allow the sound wave to propagate and extend in a circumferential direction of the rim.

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.