Abstract: An obfuscated identifier detection method based on natural language processing includes: converting an input obfuscated apk to smali code level, inspecting an obfuscated string in identifiers of the smali code acquired from a smali code converter, extracting information necessary for deobfuscation and frequency of the identifiers when there is the obfuscated string, storing frequency, type and name information of identifiers calculated from information extracted from an unobfuscated apk, and acquiring and deobfuscating an identifier type name having a most similar frequency in an identifier name database (DB) using information extracted from an obfuscated information extractor. Accordingly, it is possible to reduce delay in analysis and achieve faster analysis by automatically renaming the code that is difficult to understand due to identifier conversion obfuscation.

Abstract: A bulk acoustic wave resonator includes: a substrate; a resonant portion including a first electrode, a piezoelectric layer, and a second electrode sequentially stacked on the substrate; and a protective layer disposed on an upper surface of the resonant portion. The protective layer includes: a first protective layer formed of a diamond thin film; and a second protective layer stacked on the first protective layer, and formed of a dielectric material.

Abstract: A bulk-acoustic wave resonator includes: a substrate; a first electrode disposed on the substrate; a cavity disposed between the substrate and the first electrode; a piezoelectric layer covering at least a portion of the first electrode; a second electrode covering at least a portion of the piezoelectric layer; an insertion layer disposed between the first electrode and the piezoelectric layer; and a lower frame disposed in the cavity. At least a portion of the lower frame overlaps the insertion layer.

Abstract: Configurable specialized processing blocks, such as DSP blocks, are described that implement fixed and floating-point functionality in a single mixed architecture on a programmable device. The described architecture reduces the need to construct floating-point functions outside the configurable specialized processing block, thereby minimizing hardware cost and area. The disclosed architecture also introduces pipelining into the DSP block in order to ensure the floating-point multiplication and addition functions remain in synchronicity, thereby increasing the maximum frequency at which the DSP block can operate. Moreover, the disclosed architecture includes logic circuitry to support floating-point exception handling.

Abstract: A bulk acoustic resonator includes: a substrate; a first electrode disposed on the substrate; a piezoelectric layer disposed to cover at least a portion of the first electrode; a second electrode disposed to cover at least a portion of the piezoelectric layer; a metal pad connected to the first electrode and the second electrode; and a protective layer disposed to cover at least the metal pad.

Abstract: Configurable specialized processing blocks, such as DSP blocks, are described that implement fixed and floating-point functionality in a single mixed architecture on a programmable device. The described architecture reduces the need to construct floating-point functions outside the configurable specialized processing block, thereby minimizing hardware cost and area. The disclosed architecture also introduces pipelining into the DSP block in order to ensure the floating-point multiplication and addition functions remain in synchronicity, thereby increasing the maximum frequency at which the DSP block can operate. Moreover, the disclosed architecture includes logic circuitry to support floating-point exception handling.

Abstract: Provided is a method of application malware detection based on dynamic Application Programming Interface (API) extraction, and a readable medium and an apparatus for performing the same. The method of application malware detection based on dynamic API extraction includes generating an API classifier which classifies an input API as malicious or benign using API used in a sample application classified as malicious application apps or benign application apps, and inputting a pre-stored target API into the API classifier to classify the target API as malicious or benign.

Abstract: An example portable electronic device includes a front glass cover; a rear cover; a bezel surrounding a space defined by the front cover and the rear cover, the bezel including a portion including an opening; a display device built in the space; and a plate including a plane parallel to the front cover within the space. The example electronic device includes a key movably inserted in the opening; a support structure mounted on the plate or a portion of the bezel and including a hole through which the key passes; a dome button mounted on the support structure and arranged to face the first surface of the key and the hole so that the key can be pressed; and a waterproof structure including a flexible material.

Abstract: A device for automatically identifying anti-analysis techniques by using the signature extraction, includes an extraction unit which extracts a DEX file and an ELF file from an application file after unpacking the application file, which is in an APK format and includes compressed execution code to be executed on Android, a detection unit which receives the acquired signature classified according to types of the signature, analytically compares the input signature with the signature stored in a database, and detects the signature used in anti-analysis techniques, and a determination unit which determines according to the detected signature what anti-analysis technique is applied to the application. According to the present invention, it is possible to enable an appropriate and quick response to damages due to malicious applications by shortening the time required for analysis and automatically recognizing the application to which the anti-analysis technique is applied.

Abstract: A bulk acoustic wave resonator includes a substrate; a lower electrode disposed on the substrate; a piezoelectric layer disposed to cover at least a portion of the lower electrode; an upper electrode disposed to cover at least a portion of the piezoelectric layer; and a passivation layer disposed to cover at least a portion of the upper electrode, wherein the passivation layer includes a non-trimming-processed portion disposed outside an active region of the bulk acoustic wave resonator in which portions of the lower electrode, the piezoelectric layer, and the upper electrode overlap, and having a thickness that is thicker than a thickness of a portion of the passivation layer disposed in the active region.

Abstract: Provided is a method for bypassing an analysis evasion technique, which includes: loading a dummy DEX file; parsing a dummy method containing a dummy code from the dummy DEX file; a bypass point identifying step of determining whether a function to be currently called is a bypass target function to which the analysis evasion technique is applied; a branch target point changing step of changing information according to the determination result so that the dummy code is executed instead of the call target function; and a dummy code executing step of transmitting the dummy code to a framework of the application, so that a modulated framework is executed with a bypass code.

Abstract: Various embodiments relating to an electronic device including a key module are disclosed, and according to one embodiment, a portable electronic device comprises: a front glass cover defining the front surface of the electronic device; a rear cover defining the rear surface of the electronic device; a bezel surrounding a space defined by the front cover and the rear cover, the bezel being integrally formed with or separately formed from the rear cover, the bezel including a portion including an opening; a display device built in the space and including a screen area exposed through the front cover; and a plate including a plane parallel to the front cover within the space, wherein the opening penetrates from the outside of the bezel toward the space in a first direction.

Abstract: A dynamic code extraction-based automatic anti-analysis evasion and code logic analysis apparatus, includes: a recognition module that extracts a DEX file and a SO file by unpacking an execution code of an application and recognizes an analysis avoidance technique by comparing a signature which is included in the extracted DEX file and SO file; a instrumentation module that extracts a code to be analyzed from a byte code configuring the DEX file and a native code configuring the SO file, compares the extracted code with the data stored in a database, and outputs a code excluding an anti-analysis technique as a log file; and a deobfuscation module that deobfuscates an obfuscated code which is included in the APK on the basis of the output log file and generates an APK file in which an obfuscation technique is released on the basis of the deobfuscated code.

Abstract: Disclosed is a pneumatic inflatable rehabilitation device including a first fixing band mounted on an upper part of a forearm, a second fixing band mounted on a lower part of the forearm, and at least one rehabilitation band having one side and the other side mounted between the first fixing band and the second fixing band and wound around the forearm at least once.

Abstract: Provided is a method of application security vulnerability evaluation based on tree boosting and a readable medium and an apparatus for performing the same. The method of application security vulnerability evaluation based on tree boosting includes the step of generating an API classifier which classifies an input API as benign or malicious using a tree boosting-based algorithm, the step of calculating security vulnerability score of API using the API classifier, and the step of classifying a target application as a malicious application or a benign application according to the security vulnerability score of API used in the target application.

Abstract: Provided is a method of application malware detection based on dynamic Application Programming Interface (API) extraction, and a readable medium and an apparatus for performing the same. The method of application malware detection based on dynamic API extraction includes generating an API classifier which classifies an input API as malicious or benign using API used in a sample application classified as malicious application apps or benign application apps, and inputting a pre-stored target API into the API classifier to classify the target API as malicious or benign.

Abstract: Provided is a method of application security vulnerability evaluation based on tree boosting and a readable medium and an apparatus for performing the same. The method of application security vulnerability evaluation based on tree boosting includes the step of generating an API classifier which classifies an input API as benign or malicious using a tree boosting-based algorithm, the step of calculating security vulnerability score of API using the API classifier, and the step of classifying a target application as a malicious application or a benign application according to the security vulnerability score of API used in the target application.

Abstract: An acoustic resonator includes a substrate having via holes provided therein and having a membrane structure formed on a first surface of the substrate, and a cap accommodating the membrane structure and bonded to the substrate. The cap includes a support block in contact with the membrane structure.

Abstract: A bulk acoustic wave resonator includes a substrate protective layer disposed on a top surface of a substrate, a cavity defined by a membrane layer and the substrate, and a resonating part disposed on the membrane layer. The membrane layer includes a first layer and a second layer, the second layer having the same material as the first layer and having a density greater than that of the first layer.

Abstract: A dynamic code extraction-based automatic anti-analysis evasion and code logic analysis apparatus, includes: a recognition module that extracts a DEX file and a SO file by unpacking an execution code of an application and recognizes an analysis avoidance technique by comparing a signature which is included in the extracted DEX file and SO file; a instrumentation module that extracts a code to be analyzed from a byte code configuring the DEX file and a native code configuring the SO file, compares the extracted code with the data stored in a database, and outputs a code excluding an anti-analysis technique as a log file; and a deobfuscation module that deobfuscates an obfuscated code which is included in the APK on the basis of the output log file and generates an APK file in which an obfuscation technique is released on the basis of the deobfuscated code.