Articles

An efficient approach for secured communication in wireless sensor networks

10.11591/ijece.v10i2.pp1641-1647

Wireless sensor network (WSN) have limited bandwidth, low computational functions, energy constraints. Inspite of these constraints, WSN is useful where communication happens without infrastructure support. The main concern of WSN is the security as the sensor nodes may be attacked and information may be hacked. Security of WSN should have the capability to ensure that the message received was sent by the particular sent node and not modified during transmission. WSN applications require lightweight and strong authentication mechanisms for obtaining data from unprivileged users. In wireless sensor networks, authentication is the effective method to stop unauthorized and undisrupted communication service. In order to strengthen the authenticated communication, several researchers have developed mechanisms. Some of the techniques work with identifying the attacked node or detecting injected bogus message in the network. Encryption and decryption are the popular methods of providing the security. These are based on either public-key or symmetric-key cryptosystems Many of the existing solutions have limitations in communication and computational expertise. Also, the existing mechanisms lack in providing strength and scalability of the network. In order address these issues; a polynomial based method was introduced in recent days. Key distribution is a significant aspect in key management in WSNs. The simplest method of distribution of key is by hand which was used in the days of couriers. Now a days, most distribution of keys is done automatically. The automatic distribution of keys is essential and convenient in networks that require two parties to transmit their security keys in the same communication medium. In this work, a new type of key exchange mechanism is proposed. The proposed method for authentication among sensor nodes proves to be promising as per the simulation results. The nodes which are unknown to each other setup a private however arbitrary key for the symmetric key cryptosystem.

Volume: 10

Issue: 2

Page: 1641-1647

Publish at: 2020-04-01

Qualitative assessment of image enhancement algorithms for mammograms based on minimum EDV

10.12928/telkomnika.v18i2.14085

Mazin N.; Northern Technical University Farhan , Mohammed G.; Northern Technical University Ayoub , Hassan M.; Northern Technical University Qassim , Abdulrahman K.; Northern Technical University Eesee

Breast cancer is one of the leading reason of death among women. Nevertheless, medications for this fatal disease are still away of ambitions. Patients (thought to have breast cancer) should go through several advanced medical diagnostic procedures like mammography, biopsy analysis, ultrasound imaging, etc. Mammography is one of the medical imaging techniques used for detecting breast cancer. However, its resulted images may not be clear enough or helpful for physician to diagnose each case correctly. This fact has pushed researchers towards developing effective ways to enhance images throughout using various enhancement algorithms. In this paper, a comparison amongst these applied algorithms was done to evaluate the optimum enhancement technique. A morphology enhancement, which is resulted from combining top-hat operation and bottom-hat operation, was used as a proposed enhancement algorithm. The proposed enhancement algorithm was compared to three other well-known enhancement algorithms, specifically histogram equalization, logarithmic transform, and gamma correction with different gamma values. Twenty-five mammographic images were taken from the mammography image analysis society (MIAS) database samples. The minimum entropy difference value (EDV) was used as metric to evaluate the best enhancement algorithm. Results has approved that the proposed enhancement algorithm gave the best-enhanced images in comparison to the aforementioned algorithms.

Volume: 18

Issue: 2

Page: 928-935

Publish at: 2020-04-01

Combined scaled manhattan distance and mean of horner’s rules for keystroke dynamic authentication

10.12928/telkomnika.v18i2.14815

Didih Rizki; Universitas Muhammadiyah Malang Chandranegara , Hardianto; Universitas Muhammadiyah Malang Wibowo , Agus Eko; Universitas Muhammadiyah Malang Minarno

Account security was determined by how well the security techniques applied by the system were used. There had been many security methods that guaranteed the security of their accounts, one of which was Keystroke Dynamic Authentication. Keystroke Dynamic Authentication was an authentication technique that utilized the typing habits of a person as a security measurement tool for the user account. From several research, the average use in the Keystroke Dynamic Authentication classification is not suitable, because a user's typing speed will change over time, maybe faster or slower depending on certain conditions. So, in this research, we proposed a combination of the Scaled Manhattan Distance method and the Mean of Horner's Rules as a classification method between the user and attacker against the Keystroke Dynamic Authentication. The reason for using Mean of Horner’s Rules can adapt to changes in values over time and based on the results can improve the accuracy of the previous method.

Volume: 18

Issue: 2

Page: 770-775

Publish at: 2020-04-01

Objects detection and tracking using fast principle component purist and kalman filter

10.11591/ijece.v10i2.pp1317-1326

Hadeel N. Abdullah , Nuha H. Abdulghafoor

The detection and tracking of moving objects attracted a lot of concern because of the vast computer vision applications. This paper proposes a new algorithm based on several methods for identifying, detecting, and tracking an object in order to develop an effective and efficient system in several applications. This algorithm has three main parts: the first part for background modeling and foreground extraction, the second part for smoothing, filtering and detecting moving objects within the video frame and the last part includes tracking and prediction of detected objects. In this proposed work, a new algorithm to detect moving objects from video data is designed by the Fast Principle Component Purist (FPCP). Then we used an optimal filter that performs well to reduce noise through the median filter. The Fast Region-convolution neural networks (Fast-RCNN) is used to add smoothness to the spatial identification of objects and their areas. Then the detected object is tracked by Kalman Filter. Experimental results show that our algorithm adapts to different situations and outperforms many existing algorithms.

Volume: 10

Issue: 2

Page: 1317-1326

Publish at: 2020-04-01

Parallelizable cipher of color image based on two-dimensional chaotic system

10.11591/ijeecs.v18.i1.pp101-111

Sawsen Abdulhadi Mahmood , Khalid Ali Hussein , Yaseen Naser Jurn , Ekhlas Abbas Albahrani

This paper aims to present a parallel implementation based color image encryption using non -linear chaotic system. The adopted chaotic system was suggested and approved in our previous work [1] which generates key streams with chaotic behavior. In this paper, pixel level permutation algorithm based on chaotic map generation is investigated and analyzed. The encryption–decryption schemes are achieved in parallel and composed of three main phases: chaotic keys generation, pixel-level permutation and bit-level diffusion phase. Both permutation and diffusion processes are achieved according to the chaotic keys. The parallel implementation of the proposed image encryption system is realized and inspired with parallel computing library offered by Matlab 2018, which equips highly performance than the pipeline ones and would be helpful to utilize in image encryption/decryption for real time application. Security and statistical analysis in addition to the main differential attacks analysis are specified to evaluate the performance of the proposed image encryption algorithm with parallel implementation. From the experimental results, the output image of the encryption task shows a higher randomness of the encrypted image which can be effectively resistant to attacker. Furthermore, the run time of encryption process is faster than other research works.

Volume: 18

Issue: 1

Page: 101-111

Publish at: 2020-04-01

Outage and throughput performance of cognitive radio based power domain based multiple access

10.12928/telkomnika.v18i2.12731

Dinh-Thuan; Industrial University of Ho Chi Minh City (IUH) Do , Chi-Bao; Industrial University of Ho Chi Minh City (IUH) Le

This paper considers power domain based multiple access (PDMA) in cognitive radio network to serve numerous users who intend to multiple access to core network. In particular, we investigate the effect of signal combination scheme equipped at PDMA end-users as existence of direct link and relay link. This system model using relay scheme provides performance improvement on the outage probability of two PDMA end-users. We first propose a simple scheme of fixed power allocation to PDMA users who exhibit performance gap and fairness. Inspired by PDMA strategy, we then find signal to noise ratio (SNR) to detect separated signal for each user. In addition, the exact expressions of outage probability are derived in assumption that receiver can cancel out the interference completely with successive interference cancellation (SIC). By exploiting theoretical and simulation results, both considered combination schemes (Maximal Ratio Combining (MRC) and Selection Combining (SC) can achieve improved performance of two PDMA users significantly.

Volume: 18

Issue: 2

Page: 579-586

Publish at: 2020-04-01

Adaptive threshold for moving objects detection using gaussian mixture model

10.12928/telkomnika.v18i2.14878

Moch Arief; Dian Nuswantoro University Soeleman , Aris; Dian Nuswantoro University Nurhindarto , Muslih; Dian Nuswantoro University Muslih , Karis; Dian Nuswantoro University W. , Muljono; Dian Nuswantoro University Muljono , Farikh Al; Dian Nuswantoro University Zami , R. Anggi; Dian Nuswantoro University Pramunendar

Moving object detection becomes the important task in the video surveilance system. Defining the threshold automatically is challenging to differentiate the moving object from the background within a video. This study proposes gaussian mixture model (GMM) as a threshold strategy in moving object detection. The performance of the proposed method is compared to the Otsu algorithm and gray threshold as the baseline method using mean square error (MSE) and Peak Signal Noise Ratio (PSNR). The performance comparison of the methods is evaluated on human video dataset. The average result of MSE value GMM is 257.18, Otsu is 595.36 and Gray is 645.39, so the MSE value is lower than Otsu and Gray threshold. The average result of PSNR value GMM is 24.71, Otsu is 20.66 and Gray is 19.35, so the PSNR value is higher than Otsu and Gray threshold. The performance of the proposed method outperforms the baseline method in term of error detection.

Volume: 18

Issue: 2

Page: 1122-1129

Publish at: 2020-04-01

An optimum dynamic priority-based call admission control scheme for universal mobile telecommunications system

10.12928/telkomnika.v18i2.13900

Anike; University of Nigeria Uchenna , Ajibo Chinenye; University of Nigeria Augustine , Chinaeke-Ogbuka; University of Nigeria Ifeanyi Maryrose , Odo Chinedu; University of Nigeria Matthew , Amoke Amobi; University of Nigeria Douglas , Ani; University of Nigeria Cosmas

The dynamism associated with quality of service (QoS) requirement for traffic emanating from smarter end users devices founded on the internet of things (IoTs) drive, places a huge demand on modern telecommunication infrastructure. Most telecom networks, currently utilize robust call admission control (CAC) policies to ameliorate this challenge. However, the need for smarter CAC has becomes imperative owing to the sensitivity of traffic currently being supported. In this work, we developed a prioritized CAC algorithm for third Generation (3G) wireless cellular network. Based on the dynamic priority CAC (DP-CAC) model, we proposed an optimal dynamic priority CAC (ODP-CAC) scheme for Universal Mobile Telecommunication System (UMTS). We then carried out simulation under heavy traffic load while also exploiting renegotiation among different call traffic classes. Also, we introduced queuing techniques to enhance the new calls success probability while still maintaining a good handoff failure across the network. Results show that ODP-CAC provides an improved performance with regards to the probability of call drop for new calls, network load utilization and grade of service with average percentage value of 15.7%, 5.4% and 0.35% respectively.

Volume: 18

Issue: 2

Page: 603-612

Publish at: 2020-04-01

Internet of things-based (IoT) inventory monitoring refrigerator using arduino sensor network

10.11591/ijeecs.v18.i1.pp508-515

jessica Velasco , Leandro Alberto , Henrick Dave Ambatali , Marlon Canilang , Vincent Daria , Jerome Bryan Liwanag , Gilfred Allen Madrigal

This study presents a system that combines a conventional refrigerator, microcontrollers and a smart phone to create an inventory monitoring that can monitor the stocks inside the refrigerator wirelessly by accessing an Android application. The developed refrigerator uses a sensor network system that is installed in a respective compartment inside the refrigerator. Each sensor will transmit data to the microcontrollers, such as Arduino Yun and Arduino Uno, which are interconnected by the I2C communications. All data and images will be processed to provide the user an Internet of Things application through the cloud-based website Temboo. Temboo will have access to send data to the Dropbox. A smartphone is connected to the Dropbox where all the data and images are stored. The user can monitor the stocks or contents of the refrigerator wirelessly using an Android Application.

Volume: 18

Issue: 1

Page: 508-515

Publish at: 2020-04-01

Bershca: bringing chatbot into hotel industry in Indonesia

10.12928/telkomnika.v18i2.14841

Dennis; Universitas Multimedia Nusantara Gunawan , Farica Perdana; Universitas Multimedia Nusantara Putri , Hira; Universitas Multimedia Nusantara Meidia

Adopting technology could give competitive advantage and positively impact the hotel’s profitability, thus hotels should keep up with the latest hotel technologies. An important part in the hotel services is the customer service. A problem with the human-to-human customer services today is a long time in answering customers query. On the other hand, nowadays customers need easy and effective services. Thus, a chatbot is required to answer consumers' issues automatically which leads to higher customer satisfaction and a growing profit. Because of the need and there is still an absence of chatbot for hotel industry in Indonesia, this study is conducted. The chatbot for hotel industry in Indonesia, named Bershca, has been successfully developed using artificial intelligence markup language (AIML) to construct the knowledge. Google Flutter is used for the system’s front-end, while Python is used for the back-end of the system. As a text-preprocessing method, Nazief-Adriani Algorithm is implemented in the system’s back-end. The system is evaluated using technology acceptance model (TAM). As a result, 85.7% of the respondents believe that using chatbot would enhance their job performance and 84.33% of the respondents believe that using the technology would be free of effort.

Volume: 18

Issue: 2

Page: 839-845

Publish at: 2020-04-01

Implementation of digital and analog modulation systems using FPGA

10.11591/ijeecs.v18.i1.pp485-493

Raya Kahtan Mohammed , Hamsa Abdulkareem Abdullah

FPGA (Field Programmable Gate Array) based implementations of digital and analog modulation techniques play a vital rule in the design of signal processing system. The performance and flexibility provided by reconfigurable computing speeds up the development process in signal processing implementations using FPGA. Different methods for digital and analog modulation are designed in this paper by usinSg System Generator tools & Vivado. Then all designed systems are implemented successfully in an FPGA hardware via the NEXYS 4 DDR with ARTIX 7 XC7A100T. A comparison between five types of digital modulation techniques is discussed in terms of resources utilization in FPGA hardware. And also, the implementation of analog modulations in FPGA is contributed in this work. The hardware implementation shows that the number of slice LUTs in ASK modulation is 0.07% while in FSK modulation is 0.13% of the total number of slice LUTs. And also, the number of bounded IO that used for PSK modulation is 4.8% while in PM modulation is 61.4% of the total number bounded IO.

Volume: 18

Issue: 1

Page: 485-493

Publish at: 2020-04-01

PID controller for microsatellite yaw-axis attitude control system using ITAE method

10.12928/telkomnika.v18i2.14303

Ajiboye A.; University of Ilorin T. , Popoola J.; University of Ilorin O. , Oniyide; University of Ilorin O. , Ayinla S.; University of Ilorin L.

The need for effective design of satellite attitude control (SAC) subsystem for a microsatellite is imperative in order to guarantee both the quality and reliability of the data acquisition. A proportional-integral-derivative (PID) controller was proposed in this study because of its numerous advantages. The performance of PID controller can be greatly improved by adopting an integral time absolute error (ITAE) robust controller design approach. Since the system to be controlled is of the 4th order, it was approximated by its 2nd order version and then used for the controller design. Both the reduced and higher-order pre-filter transfer functions were designed and tested, in order to improve the system performance. As revealed by the results, three out of the four designed systems satisfy the design specifications; and the PD-controlled system without pre-filter transfer function was recommended out of the three systems due to its structural simplicity, which eventually enhances its digital implementation.

Volume: 18

Issue: 2

Page: 1001-1011

Publish at: 2020-04-01

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31,456 Article Results

An efficient approach for secured communication in wireless sensor networks

Qualitative assessment of image enhancement algorithms for mammograms based on minimum EDV

Combined scaled manhattan distance and mean of horner’s rules for keystroke dynamic authentication

Objects detection and tracking using fast principle component purist and kalman filter

Parallelizable cipher of color image based on two-dimensional chaotic system

Outage and throughput performance of cognitive radio based power domain based multiple access

Adaptive threshold for moving objects detection using gaussian mixture model

An optimum dynamic priority-based call admission control scheme for universal mobile telecommunications system

Internet of things-based (IoT) inventory monitoring refrigerator using arduino sensor network

Bershca: bringing chatbot into hotel industry in Indonesia

Implementation of digital and analog modulation systems using FPGA

PID controller for microsatellite yaw-axis attitude control system using ITAE method

Providing enhanced security in IoT based smart weather system

PSO optimization on backpropagation for fish catch production prediction

Compact reconfigurable PIFA antenna for wireless applications

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