Investigation Methodology of a Virtual Desktop Infrastructure for IoT

Cloud computing for IoT (Internet of Things) has exhibited the greatest growth in the IT market in the recent past and this trend is expected to continue. Many companies are adopting a virtual desktop infrastructure (VDI) for private cloud computing to reduce costs and enhance the efficiency of their servers. As a VDI is widely used, threats of cyber terror and invasion are also increasing. To minimize the damage, response procedure for cyber intrusion on a VDI should be systematized. Therefore, we propose an investigation methodology for VDI solutions in this paper. Here we focus on a virtual desktop infrastructure and introduce various desktop virtualization solutions that are widely used, such as VMware, Citrix, and Microsoft. In addition, we verify the integrity of the data acquired in order that the result of our proposed methodology is acceptable as evidence in a court of law. During the experiment, we observed an error: one of the commonly used digital forensic tools failed to mount a dynamically allocated virtual disk properly

Assembling Conductive Particles on Stretchable Film for Anisotropic Interconnections

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Intrinsically Synchronized Flexible Visuo‐Haptic Device Operated by Single External Electric Field

Providing multisensory expression in a synchronized form helps human perception in human-machine interfaces. Synchronized visuo-haptic integration has been relatively less explored because the two expressions operate by different principles. This study demonstrates a flexible visuo-haptic device that generates haptic sensation by electrovibration (EV) in conjunction with the synchronized optical expression by alternating-current electroluminescence (ACEL). This study suggests material design and electric field modulation that are effective for both EV and electroluminescence (EL). Owing to the structural simplicity of the opto-electrovibration (O-EV) device, the EV and EL are intrinsically coupled under single electric field input. A curved O-EV device simultaneously provides localized frictional tactile expression and localized luminescence on the touch screen. This study opens a simple material approach for multisensory expression that can be useful in soft haptic devices. © 2023 Wiley-VCH GmbH.11Nsciescopu

Electronic Skin with Localized Piezoresistive Material for Omni-Directional Pressure Profiling

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Electronic Skin with Localized Piezo-resistive Material for Omni-directional Pressure Profiling

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Demystifying the Regional Phishing Landscape in South Korea

The ever-increasing phishing campaigns around the globe have been one of the main threats to cyber security. In response, the global anti-phishing entity (e. g., APWG) collectively maintains the up-to-date blacklist database (e. g., eCrimeX) against phishing campaigns, and so do modern browsers (e. g., Google Safe Browsing). However, our finding reveals that such a mutual assistance system has remained a blind spot when detecting geolocation-based phishing campaigns. In this paper, we focus on phishing campaigns against the web portal service with the largest number of users (42 million) in South Korea. We harvest 1,558 phishing URLs from varying resources in the span of a full year, of which only a small fraction (3.8%) have been detected by eCrimeX despite a wide spectrum of active fraudulence cases. We demystify three pervasive types of phishing campaigns in South Korea: i) sophisticated phishing campaigns with varying adversarial tactics such as a proxy configuration, ii) phishing campaigns against a second-hand online market, and iii) phishing campaigns against a non-specific target. Aligned with previous findings, a phishing kit that supports automating the whole phishing campaign is prevalent. Besides, we frequently observe a hit-and-run scam where a phishing campaign is immediately inaccessible right after victimization is complete, each of which is tailored to a single potential victim over a new channel like a messenger. As part of mitigation efforts, we promptly provide regional phishing information to APWG, and immediately lock down a victim’s account to prevent further damages

Mechanical Oscillating Assisted Self-Assembly Technique for Micro-Particles on Lattice Templates

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VLSI Implementation of a VC-1 Main Profile Decoder for HD Video Applications

In this paper, we present a high-performance VC-1 main-profile decoder for high-definition (HD) video applications, which can decode HD 720p video streams with 30 fps at 90 MHz. We implemented the decoder with a one-poly eight-metal 0.13 mu m CMOS process, which contains about 261,900 logic gates and on-chip memories of 13.9 KB SRAM and 13.1 KB ROM and occupies an area of about 5.1 mm(2). In designing, the VC-1 decoder, we used a template-based SoC design flow, with which we performed the design space exploration of the decoder by trying various configurations of communication channels. Moreover, we also describe architectures of the computation blocks optimized to satisfy the requirements of VC-1 HID applications.This work was supported by center for SoC Design Technology (CoSoC), Inter-university Semiconductor Research Center(ISRC) of Seoul Natianal University, and BK21, SystemIC 2010, IP/SoC Center of Seoul, Korea. Chip fabrication was supported by SMIC via KETI/IPCoS.

Object shape recognition using tactile sensor arrays by a spiking neural network with unsupervised learning

The tactile properties of objects are important for robotic dexterous manipulation. An increasing number of attempts have recently been made to enable tactile information processing in robotic hand via tactile sensors. However, it remains relatively unexplored how to build tactile information processing models. In this study, we aimed to develop a spiking neural network (SNN) based on neural information processing mechanisms in sensory afferents. The SNN processes electrical signals collected from tactile sensor arrays attached to the gripper of the robotic hand while grasping objects with different shapes. We converted each of 42 -channel sensor signals from 2 arrays of 21 sensors into a spike train using the Izhikevich model, which was then fed to the SNN. The synaptic weights of the SNN were learned by the Hebbian learning through pair-based spike timing- dependent plasticity (STDP) algorithm. In addition, we implemented lateral inhibition of the second-layer neurons based on unsupervised learning similar to the one used in self-organizing maps, resulting in a winner-takes-all network. By this unsupervised learning, SNN could learn to discriminate the shape of objects via tactile sensing. In particular, it demonstrated object shape recognition with 100% accuracy. The proposed model could be useful for robots manipulating objects with tactile senses

Effects of Individualized Low-Intensity Exercise and Its Duration on Recovery Ability in Adults

Exercise is recommended to increase physical health and performance. However, it is unclear how low-intensity exercise (LIE) of different durations may affect or improve recovery ability. This study aimed to investigate how LIE-duration with the same volume affects recovery ability in adults. Twenty healthy male adults participated in this study. Participants were randomly assigned to the 30-min (n = 10) or the 1-h LIE group (n = 10). The intervention included sixteen exercise sessions/four weeks with a 30-min LIE group, and eight exercise sessions/four weeks with a 1-h LIE group. Heart rate (HR) corresponding to −1 blood lactate (La−) was controlled for LIE. Pre- and post-testing was conducted before and after 4-week LIE and tests included jogging/running speed (S), HR, and differences (delta; ∆) in HR and S between pre- and post-testing at 1.5, 2.0, and 4.0 mmol∙L−1 La−. Only the HR at 2.0 mmol∙L−1 La− of the 30-min LIE group was decreased in the post-test compared to the pre-test (p = 0.043). The jogging/running speed of the 1-h LIE group was improved in the post-test compared to the pre-test (p p = 0.006, p = 0.002, respectively). ∆HR at 2.0 and ∆S between the 30-min and 1-h LIE group at 1.5, 2.0, and 4.0 mmol∙L−1 La− were significantly different (p = 0.023, p p = 0.002, and p = 0.019, respectively). Furthermore, moderate to high positive correlations between ∆HR and ∆S of all subjects at 1.5 (r = 0.77), 2.0 (r = 0.77), and 4.0 (r = 0.64) mmol∙L−1 La− were observed. The 1-h LIE group showed improved endurance not only in the low-intensity exercise domain, but also in the beginning of the moderate to high-intensity exercise domain while the 30-min LIE group was not affected by the 4-week LIE intervention. Therefore, LIE (−1) for at least 1-h, twice a week, for 4 weeks is suggested to improve recovery ability in adults