한지훈 교수

Due to the monumental growth of Internet applications in the last decade, the need for security of information network has increased manifolds. As a primary defense of network infrastructure, an intrusion detection system is expected to adapt to dynamically changing threat landscape. Many supervised and unsupervised techniques have been devised by researchers from the discipline of machine learning and data mining to achieve reliable detection of anomalies. Deep learning is an area of machine le

The Internet of Things (IoT), inspired by the tremendous growth of connected heterogeneous devices, has pioneered the notion of smart city. Various components, i.e., smart transportation, smart community, smart healthcare, smart grid, etc. which are integrated within smart city architecture aims to enrich the quality of life (QoL) of urban citizens. However, real-time processing requirements and exponential data growth withhold smart city realization. Therefore, herein we propose a Big Data anal

Vehicular-to-Everything (V2X) communications are the emerging paradigm for the Intelligent Transportation System (ITS) used to enhance the traffic efficiency and reliability of timely data delivery by implementing a complete set of communication mechanism in all the devices and infrastructure involved in traffic control, monitoring, and management. This research work aims to propose a Social V2X Communication Model to improve the traffic efficiency in ITS environment by timely delivery of a requ

Abstract The requisition for electrical energy, smart grid, and renewable energy paradigm extend a new space for Electrical Energy Data Management and Processing Systems (EEDMS), in such a way that can mitigate the consumption of electrical energy. Similarly, the implementation and maintenance of the EEDMS is a challenging task. Moreover, the heterogeneous energy data generated from residential and commercial sector are the leading challenges for standard Internet of Things (IoT) architecture. T

Information hiding has attracted the attention of researchers in recent years because digital contents are generated and share online through different communication channels. The verification of original authorship of digital contents is a crucial task. Digital watermarks are used to provide copyright protection and ownership verification solutions. However, digital text watermarking is a challenging job due to limited research and existing schemes like inter-word and paragraph spacing, line an

The smart city notion facilitate interoperation among multiple disciplines to improve the Quality of Life (QoL) of urban citizens. Unceasingly growing urban networks has significantly increased the data processing complexity. In consequence, real-time data processing and analysis has become a major concern in modern smart city designing and implementation. Considering the challenges of existing smart cities, in this work we propose a smart city architecture embedded with Big Data Analytics (BDA)

A copper-modified indium tin oxide (ITO) electrode was utilized as an electrocatalytic sensing platform for hydrogen peroxide (H2O2) detection. In this study, instead of conventional solution-phase electrodeposition, electrochemical deposition was used to deposit Cu on an ITO electrode with agarose hydrogel. The hydrogel-based Cu nanoparticles exhibited a more evenly dispersed distribution compared to those in the solution phase. Additionally, by incorporating agarose hydrogel as a solid electro

Emergence of smart things has matured the Internet of Thing (IoT) notion. Extensive attention drawn towards IoT has inspired the concept of Smart homes. However, actual implementation of smart home architecture is highly challenged by the heterogeneity of smart devices, platform incompatibilities, and energy management demands. Web of Things (WoT) is a common solution platform, which exposes these heterogeneous services in an effective and a transparent manner. Hence, in this paper, we propose a

The convergent feature of traffic in wireless body area networks (WBANs) makes congestion in certain areas which are the place of events and/or the location of sensor nodes near a sink. Congestion brings packet loss, retransmission, and delay at the node and it also causes the consumption of additional energy. Therefore there is no doubt that congestion needs to be controlled efficiently. In this paper, we suggest an adaptive rate control for congestion avoidance in WBANs. Our scheme performs ra

With the wide adoption of TLS, malware's use of TLS is also growing fast. However, fine-grained feature selection in existing approaches is too burdensome. To this end, we propose to visualize TLS-encrypted flow metadata as an image for better malware traffic analysis and classification. We discuss its feasibility and show some preliminary classification results with high accuracy.

Abstract Electrochemical measurements using an agarose hydrogel as a solid electrolyte and ferrocyanide as a redox probe were conducted to analyze transport properties and natural convection effects. The mass transport properties and diffusion coefficients of ferrocyanide were studied using various macroelectrodes and ultramicroelectrodes via cyclic voltammetry. The experimental results confirmed that the mass transfer behavior in agarose was similar to that in solution. The good linearity of th

The dynamic nature of the electricity market need an efficient energy management and control system to take perfect decisions accordingly. House hold appliances is the contemporary study being adopted to improve the performance and balance the fluctuation between power system and smart home. This article proposes an intelligent home energy management system (IHEMS) incorporated with a prediction model and optimization model. To address the uncertainty of future energy load and its cost, a suitab

Abstract Emergence of smart grid notion has revolutionized energy consumption patterns and energy conservation strategies of end users by addressing the broadening gap between electricity demand and supply. Accordingly, domestic appliance scheduling came into the play, gaining phenomenal popularity owing to its consideration on sustainable energy, user behaviors, and varying electricity tariff. To maximize the desired benefits of appliance scheduling, herein, we propose a least slack time (LST)–

WiMedia UWB MAC protocol defines to use wide bandwidth and low power to communicate data for high speed in short range. WiMedia UWB MAC configures a fully distributed beaconing network based on non-infrastructure and devices broadcast their beacons through each beacon slot in a superframe which is made up of 256 MAS. Due to changes in the propagation environment, mobility, or other effects, devices using two or more unaligned BPSTs may come into range. This situation causes synchronization probl

We propose a neural network-based approach to the homogenization of multiscale problems. The proposed method uses a derivative-free formulation of a training loss, which incorporates Brownian walkers to find the macroscopic description of a multiscale PDE solution. Compared with other network-based approaches for multiscale problems, the proposed method is free from the design of hand-crafted neural network architecture and the cell problem to calculate the homogenization coefficient. The explor