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30,096 Article Results

Side-Channel Security on Key Exchange Protocol: Timing and Relay Attacks

10.11591/ijeecs.v11.i2.pp688-695
Mohd Anuar Mat Isa , Habibah Hashim , Syed Farid Syed Adnan , Nur Nabila Mohamed , Yasin Fitri Alias
The advancing of Key Exchange Protocol (KEP) is compulsory to secure the connected world via Internet of Thing (IoT), cryptocurrency and blockchain, virtual intelligent, smart computing etc. To address the security issues in the Internet based computing systems, this paper explores the side-channel security for KEP, namely timing and relay attacks. Nowadays, various KEP variances are used by internet protocol such as IKEv2/3. The purpose of KEP is to enable a secret key(s) sharing between two or more computing systems on unsecure network. Later, the secret key(s) is used to encrypt all data transmitted for online systems such as internet banking, cryptocurrency transaction, IoT services etc. The timing attack was addressed by an adversary model and security assumptions. The relay attack on KEP was tested by an experiment testbed between a key fob and car using Raspberry Pi and RF module. The experiment result has shown that the propagation delay of KEP on RF communication is increased by 100% for each relay node. If the KEP runtime is increased greater than 50%, the KEP authentication key should be discarded to prevent the attacker from gaining access to the car.
Volume: 11
Issue: 2
Page: 688-695
Publish at: 2018-08-01

Experimental Studies on the Effect of Antenna Orientations to the Performance of OFDM-based System

10.11591/ijece.v8i4.pp2588-2594
J. Muslimin , A. L. Asnawi , A. F. Ismail , A. Z. Jusoh , N. A. Malek , H. A. M. Ramli
Software-defined radio (SDR) is an emerging and promising high re-configurable platform for rapid prototyping inreal environment applications. It offers both flexibility and low cost to facilitate the development process of agile communication system, such as Orthogonal Frequency Division Multiplexing (OFDM). Other than modulation and transmission technique like OFDM, antenna orientations play a significant importance in wireless communication. The availabililty of SDR platform like USRP has enabled the empirical evaluation of antenna orientation to the system performance. The performance has been evaluated in terms of throughput and packet error rate. The findings show the antenna orientation affect the system performance significantly.
Volume: 8
Issue: 4
Page: 2588-2594
Publish at: 2018-08-01

Extensive Analysis on Generation and Consensus Mechanisms of Clustering Ensemble: A Survey

10.11591/ijece.v8i4.pp2351-2357
Yalamarthi Leela Sandhya Rani , V. Sucharita , K. V. V. Satyanarayana
Data analysis plays a prominent role in interpreting various phenomena. Data mining is the process to hypothesize useful knowledge from the extensive data. Based upon the classical statistical prototypes the data can be exploited beyond the storage and management of the data. Cluster analysis a primary investigation with little or no prior knowledge, consists of research and development across a wide variety of communities. Cluster ensembles are melange of individual solutions obtained from different clusterings to produce final quality clustering which is required in wider applications. The method arises in the perspective of increasing robustness, scalability and accuracy. This paper gives a brief overview of the generation methods and consensus functions included in cluster ensemble. The survey is to analyze the various techniques and cluster ensemble methods.
Volume: 8
Issue: 4
Page: 2351-2357
Publish at: 2018-08-01

Throughput Maximization of Cognitive Radio Multi Relay Network with Interference Management

10.11591/ijece.v8i4.pp2230-2238
Pradip Varade , Akanksha Wabale , Ravinder Yerram , Rupesh Jaiswal
In this paper, an Orthogonal Frequency Division Multiplexing (OFDM) based cognitive multi relay network is investigated to maximize the transmission rate of the cognitive radio (CR) with enhanced  fairness among CR users  with interference to the primary users (PUs) being managed below a certain threshold level. In order to improve the transmission rate of the CR, optimization of the subcarrier pairing and power allocation is to be carried out simultaneously. Firstly joint optimization problem is formulated and Composite Genetic and Ordered Subcarrier Pairing (CGOSP) algorithm is proposed to solve the problem. The motivation behind merging genetic and OSP algorithm is to reduce the complexity of Genetic Algorithm (GA). Further, to have a fair allocation of resources among CR users, the Round Robin allocation method is adopted so as to allocate subcarrier pairs to relays efficiently. The degree of fairness of the system is calculated using Jain’s Fairness Index (JFI). Simulation results demonstrate the significant improvement in transmission rate of the CR, low computational complexity and enhanced fairness.
Volume: 8
Issue: 4
Page: 2230-2238
Publish at: 2018-08-01

A Survey: Data Leakage Detection Techniques

10.11591/ijece.v8i4.pp2247-2253
K. S. Wagh
Data is an important property of various organizations and it is intellectual property of organization. Every organization includes sensitive data as customer information, financial data, data of patient, personal credit card data and other information based on the kinds of management, institute or industry. For the areas like this, leakage of information is the crucial problem that the organization has to face, that poses high cost if information leakage is done. All the more definitely, information leakage is characterize as the intentional exposure of individual or any sort of information to unapproved outsiders. When the important information is goes to unapproved hands or moves towards unauthorized destination. This will prompts the direct and indirect loss of particular industry in terms of cost and time. The information leakage is outcomes in vulnerability or its modification. So information can be protected by the outsider leakages. To solve this issue there must be an efficient and effective system to avoid and protect authorized information. From not so long many methods have been implemented to solve same type of problems that are analyzed here in this survey.  This paper analyzes little latest techniques and proposed novel Sampling algorithm based data leakage detection techniques.
Volume: 8
Issue: 4
Page: 2247-2253
Publish at: 2018-08-01

Microstrip Antenna with Photographic Paper Substrate for WLAN

10.11591/ijict.v7i2.pp67-70
D. S. Marotkar , P. L Zade
In this paper a compact, flexible, Multiband antenna is designed. It is having flexible Substrate of photographic paper which makes the antenna conformal. The antenna with two U slots cut in radiating patch is offset fed by microstrip lines gives the multiple bands of WLAN /WIMAX Application and two parasitic Elements improves the bandwidth of a typical microstrip antenna. The Measured results shows that the antenna resonates between Frequency band 2.10-2.95 GHz, 3.35-3.54 GHz and 5.04-6.0Hz.which are used for application such as Bluetooth, Wi-Fi, Zigbee, ISM 2.4GHz,WLAN WiMAX, and WLAN 5.2GHz.
Volume: 7
Issue: 2
Page: 67-70
Publish at: 2018-08-01

Real-Time Video Processing using Contour Numbers and Angles for Non-urban Road Marker Classification

10.11591/ijece.v8i4.pp2540-2548
Zamani Md Sani , Hadhrami Abd Ghani , Rosli Besar , Azizul Azizan , Hafiza Abas
Road users make vital decisions to safely maneuver their vehicles based on the road markers, which need to be correctly classified. The road markers classification is significantly important especially for the autonomous car technology. The current problems of extensive processing time and relatively lower average accuracy when classifying up to five types of road markers are addressed in this paper. Two novel real time video processing methods are proposed by extracting two formulated features namely the contour number, , and angle, 𝜃 to classify the road markers. Initially, the camera position is calibrated to obtain the best Field of View (FOV) for identifying a customized Region of Interest (ROI). An adaptive smoothing algorithm is performed on the ROI before the contours of the road markers and the corresponding two features are determined. It is observed that the achievable accuracy of the proposed methods at several non-urban road scenarios is approximately 96% and the processing time per frame is significantly reduced when the video resolution increases as compared to that of the existing approach.
Volume: 8
Issue: 4
Page: 2540-2548
Publish at: 2018-08-01

Image Analysis of Periapical Radiograph for Bone Mineral Density Prediction

10.11591/ijece.v8i4.pp2083-2090
Rini Widyaningrum , Sri Lestari , Ferry Jie
Osteoporosis is a systemic skeletal disease. Parameter from any bone site in the body has possibility to be developed as a predictor of osteoporosis. The alteration in the mandible trabecular bone is visible in periapical radiographs. The aim of this study was to correlate the area parameter and the integrated density of periapical radiograph with bone mineral density. Image analysis of periapical radiograph i.e. measurement of area parameter and integrated density was done on Region of Interest (ROI) by using canny edge detection method. Result of this study showed that the area parameter has asignificant (α<0.05) negative correlation with the bone mass density (BMD) of the lumbar spine (r = -0.371) and T-score of the lumbar spine (r = -0.383). The linear regression test showed that the area parameter only can be used to predict T-score of the lumbar spine (F=5.822, α<0.05). The integrated density showed a significant (α < 0.05) negative correlation with T-score of hip (r = -0.332) and T-score of lumbar spine (r = -0.377). It can be concluded that the area parameter can be used as one of input parameters for computer-aided system of osteoporosis early detection by using periapical radiograph.
Volume: 8
Issue: 4
Page: 2083-2090
Publish at: 2018-08-01

Optimal Generation Scheduling of Power System for Maximum Renewable Energy Harvesting and Power Losses Minimization

10.11591/ijece.v8i4.pp1954-1966
Bounthanh Banhthasit , Chaowanan Jamroen , Sanchai Dechanupaprittha
This paper proposes an optimal generation scheduling method for a power system integrated with renewable energy sources (RES) based distributed generations (DG) and energy storage systems (ESS) considering maximum harvesting of RES outputs and minimum power system operating losses. The main contribution aims at economically employing RES in a power system. In particular, maximum harvesting of renewable energy is achieved by the mean of ESS management. In addition, minimum power system operating losses can be obtained by properly scheduling operating of ESS and controllable generations. Particle Swam Optimization (PSO) algorithm is applied to search for a near global optimal solutions. The optimization problem is formulated and evaluated taking into account power system operating constraints. The different operation scenarios have been used to investigate the effective of the proposed method via DIgSILENT PowerFactory software. The proposed method is examined with IEEE standard 14-bus and 30-bus test systems. 
Volume: 8
Issue: 4
Page: 1954-1966
Publish at: 2018-08-01

The Utilization of Physics Parameter to Classify Histopathology Types of Invasive Ductal Carcinoma (IDC) and Invasive Lobular Carcinoma (ILC) by using K-Nearest Neighbourhood (KNN) Method

10.11591/ijece.v8i4.pp2442-2450
Anak Agung Ngurah Gunawan , I Wayan Supardi , S. Poniman , Bagus G. Dharmawan
Medical imaging process has evolved since 1996 until now. The forming of Computer Aided Diagnostic (CAD) is very helpful to the radiologists to diagnose breast cancer. KNN method is a method to do classification toward the object based on the learning data which the range is nearest to the object. We analysed two types of cancers IDC dan ILC. 10 parameters were observed in 1-10 pixels distance in 145 IDC dan 7 ILC. We found that the Mean of Hm(yd,d) at 1-5 pixeis the only significant parameters that distingguish IDC and ILC. This parameter at 1-5 pixels should be applied in KNN method. This finding need to be tested in diffrerent areas before it will be applied in cancer diagnostic.
Volume: 8
Issue: 4
Page: 2442-2450
Publish at: 2018-08-01

Performance Evaluation of Two Port and Four Port Measurement for Twisted Pair Cable

10.11591/ijece.v8i4.pp2624-2632
Azhari Bin Asrokin , Mohamad Kamal Bin A. Rahim
A balance-unbalance (balun) transformer is commonly used to connect the balance 100 Ohm twisted pair cable to the unbalance 50 Ohm network analyzer ports, but due to the limitations of the core (i.e. ferrite) inside the balun, the balun can only effectively operates at a certain band of frequencies. This limitation can be eliminated by using a 4-port vector network analyzer (VNA) which is done by connecting the VNA’s ports to each conductor end. The extracted S-parameters will then be transformed to a 2-port S-parameters in differential mode at both ports. To validate the measurement technique, S-parameter measurement by using the 4-Port Network Analyzer without any balun will be compared to the measurement which used the 2-Port Network Analyzer with the balun transformers. Two twisted pair cable distances are selected as reference which are 500, and 1000 meters with nominal copper diameter of 0.5mm. Based on the measurement results, the 4-ports measurement shows good correlation with the 2-ports measurement especially at 500m distance. This shows that the 4-ports measurement setup is suitable to be used to measure twisted pair copper cable and possible to measure at a higher frequency band such as up to 500 MHz but at a shorter twisted pair cable distance.
Volume: 8
Issue: 4
Page: 2624-2632
Publish at: 2018-08-01

The Improvement of first Iteration Log Periodic Fractal Koch Antenna with Slot Implementation

10.11591/ijece.v8i4.pp2564-2570
N. S. M. Yaziz , M. K. A. Rahim , F. Zubir , N. S. Nadzir , R. Dewan , H. A. Majid
In this paper, a slotted is introduced at each of the radiating elements on the 1st iteration log periodic fractal Koch antenna (LPFKA). The antenna is designed to testify the appropriate performance at UHF Digital television which operates from 4.0 GHz to 1.0 GHz. The dimension of the conventional 0th iteration LPKFA is successfully reduced by 17% with the implementation of slotted. The results show a good agreement with a stable radiation pattern across the operating bandwidth, stable gain more than 5 dBi and reflection coefficient of below -10 dB over the desired frequency range.
Volume: 8
Issue: 4
Page: 2564-2570
Publish at: 2018-08-01

Reliability Constrained Unit Commitment Considering the Effect of DG and DR Program

10.11591/ijece.v8i4.pp1985-1996
Masoud Aliakbari , Pouria Maghouli , Habib Allah Aalami
Due to increase in energy prices at peak periods and increase in fuel cost, involving Distributed Generation (DG) and consumption management by Demand Response (DR) will be unavoidable options for optimal system operations. Also, with high penetration of DGs and DR programs into power system operation, the reliability criterion is taken into account as one of the most important concerns of system operators in management of power system. In this paper, a Reliability Constrained Unit Commitment (RCUC) at presence of time-based DR program and DGs integrated with conventional units is proposed and executed to reach a reliable and economic operation. Designated cost function has been minimized considering reliability constraint in prevailing UC formulation. The UC scheduling is accomplished in short-term so that the reliability is maintained in acceptable level. Because of complex nature of RCUC problem and full AC load flow constraints, the hybrid algorithm included Simulated Annealing (SA) and Binary Particle Swarm Optimization (BPSO) has been proposed to optimize the problem. Numerical results demonstrate the effectiveness of the proposed method and considerable efficacy of the time-based DR program in reducing operational costs by implementing it on IEEE-RTS79.
Volume: 8
Issue: 4
Page: 1985-1996
Publish at: 2018-08-01

IMLANNs for Congestion Management in Power System

10.11591/ijeecs.v11.i2.pp630-636
Nur Zahirah Mohd Ali , Ismail Musirin , Hasmaini Mohamad , Saiful Izwan Suliman , Hadi Suyono
In this paper, Integrated Multi-Layer Artificial Neural Networks (IMLANNs) model has been developed for congested line prediction in a power system. The master characteristic of an ANN is the superiority to achieve complicated input-output mappings through a learning procedure, without exhaustive programming efforts. The IMLANNs model was developed to predict the congested lines in a power system. Before the IMLANNs model is developed, a case study was selected to receive an early result in power system load current during normal condition and contingency based on heavily loaded term. In order to optimize the architecture of the neural network and minimize the computational effort, but those state variables with major impact on the power system are selected as inputs. A pre-developed index, namely Fast Voltage Stability Index (FVSI) is employed as a benchmark to identify the locations declared as congested lines. This indicator was produced which aims for an analytic thinking, sustainable power system when an excessive load was imposed on the power system network. In addition, voltage collapse can be identified when the index is approaching 1.000 or unity. The value of FVSI is chosen as the targeted output in the IMLANNs model. The strength of the proposed IMLANNs model has been validated on the IEEE 30- Bus RTS. Results obtained from the study demonstrated that the proposed IMLANNs is feasible for congested line prediction, which in turns beneficial to power system operators in the planning unit of a utility.
Volume: 11
Issue: 2
Page: 630-636
Publish at: 2018-08-01

An Integrated Cross Layer Design to Enhance the Quality of Service of Video Streaming in Mobile Adhoc Networks

10.11591/ijict.v7i2.pp57-62
N. Gomathi , M. Uvaneshwari
The intent of this paper is to put forth a novel technique for improvising the QoS of multimedia applications in by using Modified dynamic mapping algorithm and Multipath transport(MPT) and Multi Description Coding(MDC). The improvement is attained by applying the MDC at application layer along with UDPLite in transport layer and multipath at network layer and Modified dynamic mapping in MAC Layer.Thismethod attains an increase of 30.84% in Peak Signal to Noise Ratio (PSNR) and 18.57% decrease in delay in contrast to the conventional methods.
Volume: 7
Issue: 2
Page: 57-62
Publish at: 2018-08-01
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