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30,907 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

Smart Wheelchair: A Literature Review

10.11591/ijict.v7i2.pp63-66
Kedar Sukerkar , Darshitkumar Suratwala , Anil Saravade , Jairaj Patil , Rovina D’britto
In today’s world there are many disabled persons who find it difficult to perform movements or perform daily activities. This types of persons are mainly dependent on others for their assistance. But they can become self-independent and perform some daily activities on their own with the help of assistive devices. The most widely used assistive devices are Wheelchairs. Wheelchairs is basically a chair fitted with wheels, which can help people move around who cannot walk because of illness, disability or injury. But there are many disabled people with weak limbs and joints who cannot move the wheelchair. Thus, Smart Wheelchair can benefit a lot to them and everyone in society. Smart Wheelchairs are electric powered wheelchairs with many extra components such as a computer and sensors which help the user or guardian accompanying wheelchair to handle it easily and efficiently. The recent development in the field of Artificial Intelligence, Sensor technologies and Robotics help the growth of wheelchairs with new features. This paper is to review the current state of art of Smart Wheelchairs and discuss the future research in this field.
Volume: 7
Issue: 2
Page: 63-66
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

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

Development of Russian Driverless Electric Vehicle

10.11591/ijaas.v7.i3.pp233-239
Andrey Mikhailovich Saykin , Sergey Evgenievich Buznikov , Denis Vladimirovich Endachev , Kirill Evgenievich Karpukhin , Alexey Stanislavovich Terenchenko
This article overviews the history of development of driverless vehicles both in Russia and the World. Foreign experience of development of driverless vehicles, including electric traction, is analyzed. Main stages of creation of experimental NAMI driverless electric vehicle are revised. Main engineering solutions are described concerning development of advanced NAMI driverless electric vehicle, its major components and control systems. Projects aimed at environmental safety of passengers in NAMI driverless electric vehicle are exemplified. Results of bench scale and running tests of NAMI driverless electric vehicle are summarized. Major advantages of driverless energy efficient and environmentally clean transport are demonstrated.
Volume: 7
Issue: 3
Page: 233-239
Publish at: 2018-08-01

Spectral Efficient Blind Channel Estimation Technique for MIMO-OFDM Communications

10.11591/ijaas.v7.i3.pp286-297
Renuka Bhandari , Sangeeta Jadhav
With emerge of increasing research in the domain of future wireless communications, massive MIMO (multiple inputs multiple outputs) attracted most of researchers interests. Massive MIMO is high-speed wireless communication standards. A channel estimation technology plays the essential role in the MIMO systems. Efficient channel estimation leads to spectral efficient wireless communications. The critics of Inter-Symbol Interference (ISI) are the challenging tasks while designing the channel estimation methods. To mitigate the challenges of ISI, we proposed the novel blind channel estimation method which based on Independent component analysis (ICA) in this paper. Proposed channel estimation it works for both blind interference cancellation and ISI cancellation. The proposed Hybrid ICA (HICA) method depends on pulse shape filtering and ambiguity removal to improve the spectral efficiency and reliability for MIMO communications. The Kurtosis operation is used to measure the complex data at first to estimate the common signals. Then we exploited the advantages of 3rd and 4th order Higher Order Statistics (HOS) to priorities the common signals during the channel estimation. In this paper, we present the detailed design and evaluation of HICA blind channel estimation method. We showed the simulation results of HICA against the state-of-art techniques for channel estimation using BER, MSE, and PAPR.
Volume: 7
Issue: 3
Page: 286-297
Publish at: 2018-08-01

Requirement Elicitation Model (REM) in the Context of Global Software Development

10.11591/ijaas.v7.i3.pp303-308
Muhammad Yaseen , Umar Farooq
Requirement elicitation is difficult and critical phase of requirement engineering and the case is worst in global software development (GSD). The study is about requirement elicitation in the context of GSD. Development of requirement elicitation model (REM) which can address the factors that have positive impact and the factors that have negative impact during elicitation in GSD. The propose model will give solutions and practices to the challenges during elicitation. Systematic literature review (SLR) and empirical research study will be used for achieving the goals and objectives. The expected results of this study will be REM that will help vendor organizations for better elicitation during GSD.
Volume: 7
Issue: 3
Page: 303-308
Publish at: 2018-08-01
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