Articles
<![CDATA[Cyber DoS attack based security simulator for VANET ]]>
<![CDATA[Muntadher Naeem Yasir]]>;
<![CDATA[Muayad Sadik Croock]]>
<![CDATA[ International Journal of Electrical and Computer Engineering (IJECE) Vol 10, No 6: December 2020 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijece.v10i6.pp5832-5843
<![CDATA[At the late years, researches focused on the cyber Denial of Service (DoS) attacks in the Vehicle Ad hoc Networks (VANETS). This is due to high importance of ensuring the save receiving of information in terms of Vehicle to Vehicle (V2V), Vehicle to Infrastructure (V2I) and Vehicle to Road Side Unit (V2R). In this paper, a cyber-security system is proposed to detect and block the DoS attacks in VANET. In addition, a simulator for VENAT based on lightweight authentication and key exchange is presented to simulate the network performance and attacks. The proposed system consists of three phases: registration, authentication as well as communications and DoS attack detection. These phases improve the system ability to detect the attacks in efficient way. Each phase working is based in a proposed related algorithm under the guidance of lightweight protocol. In order to test the proposed system, a prototype is considered includes six cars and we adopt police cars due to high importance of exchanged information. Different case studies have been considered to evaluate the proposed system and the obtained results show a high efficiency of performance in terms of information exchange and attack detection.]]>
<![CDATA[Multiclassification of license plate based on deep convolution neural networks ]]>
<![CDATA[Masar Abed Uthaib]]>;
<![CDATA[Muayad Sadik Croock]]>
<![CDATA[ International Journal of Electrical and Computer Engineering (IJECE) Vol 11, No 6: December 2021 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijece.v11i6.pp5266-5276
<![CDATA[In the classification of license plate there are some challenges such that the different sizes of plate numbers, the plates' background, and the number of the dataset of the plates. In this paper, a multiclass classification model established using deep convolutional neural network (CNN) to classify the license plate for three countries (Armenia, Belarus, Hungary) with the dataset of 600 images as 200 images for each class (160 for training and 40 for validation sets). Because of the small numbers of datasets, a preprocessing on the dataset is performed using pixel normalization and image data augmentation techniques (rotation, horizontal flip, zoom range) to increase the number of datasets. After that, we feed the augmented images into the convolution layer model, which consists of four blocks of convolution layer. For calculating and optimizing the efficiency of the classification model, a categorical cross-entropy and Adam optimizer used with a learning rate was 0.0001. The model's performance showed 99.17% and 97.50% of the training and validation sets accuracies sequentially, with total accuracy of classification is 96.66%. The time of training is lasting for 12 minutes. An anaconda python 3.7 and Keras Tensor flow backend are used.]]>
<![CDATA[Self-checking method for fault tolerance solution in wireless sensor network ]]>
<![CDATA[Muayad Sadik Croock]]>;
<![CDATA[Saja Dhyaa Khuder]]>;
<![CDATA[Zahraa Abbas Hassan]]>
<![CDATA[ International Journal of Electrical and Computer Engineering (IJECE) Vol 10, No 4: August 2020 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijece.v10i4.pp4416-4425
<![CDATA[Recently, the wireless sensor network (WSN) has been considered in different application, particularly in emergency systems. Therefore, it is important to keep these networks in high reliability using software engineering techniques in the field of fault tolerance. This paper proposed a fault node detection method in WSN using the self-checking technique according to the rules of software engineering. Then, the detected faulted node is covered employing the reading of nearest neighbor nodes (sensors). In addition, the proposed method sends a message for maintenance to solve the fault. The proposed method can reduce the time between the detection and recovery of a fault to prevent the confusion of adopting wrong readings, in which the detection is making with mistake. Moreover, it guarantees the reliability of the WSN, in terms of operation and data transmission. The proposed method has been tested over different scenarios and the obtained results show the superior efficiency in terms of recovery, reliability, and continuous data transmission.]]>
<![CDATA[Developed security and privacy algorithms for cyber physical system ]]>
<![CDATA[Dhuha Dheyaa Khudhur]]>;
<![CDATA[Muayad Sadik Croock]]>
<![CDATA[ International Journal of Electrical and Computer Engineering (IJECE) Vol 11, No 6: December 2021 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijece.v11i6.pp5379-5389
<![CDATA[Cyber-physical system (CPS) is a modern technology in the cyber world, and it integrates with wireless sensor network (WSN). This system is widely used in many applications such as a smart city, greenhouse, healthcare, and power grid. Therefore, the data security and integrity are necessary to ensure the highest level of protection and performance for such systems. In this paper, two sides security system for cyber-physical level is proposed to obtain security, privacy, and integrity. The first side is applied the secure sockets layer (SSL)/transport layer security (TLS) encryption protocol with the internet of things (IoT) based message queuing telemetry transport (MQTT) protocol to secure the connection and encrypt the data exchange between the system's parties. The second side proposes an algorithm to detect and prevent a denial of service (DoS) attack (hypertext transfer protocol (HTTP) post request) on a Web server. The experiment results show the superior performance of the proposed method to secure the CPS by detecting and preventing the cyber-attacks, which infect the Web servers. They also prove the implementation of security, privacy and integrity aspects on the CPS.]]>
<![CDATA[Dominated destinations of tourist inside Iraq using personal information and frequency of travel ]]>
<![CDATA[Rula Amjed]]>;
<![CDATA[Muayad Sadik Croock]]>
<![CDATA[ TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 4: August 2019 ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.12928/telkomnika.v17i4.11956
<![CDATA[Tourism today is one of the most important economic and social sectors in the world, which plays a prominent role in the development of countries. This importance has grown as an industry through the social media networks.In this paper, a proposed method has been introduced distinguish the main factors that impact the Frequency of Travel (FoT) among Iraq local tourists. Application (API) graphics and scrapy are utilized to collect information from TripAdvisor social network in a period of (2015-2018). The collected information are reprocessed and coded for the specified nominal data using tied rank. It is important to note that the adopted technique does not lose any data about the attribute and brings different properties beforehand obscure. Data mining ordinal logistic regression is used to extract user's behavior upon local tourism in Iraq. The expected outcome of this work is to discover out the effect of personal information and the type of places on the selection of the local touristic places in Iraq. The collected information was exploited to know the preferred local touristic trends, because there are no statistics on the number of domestic tourists in Iraq. The proposed model was used for analyzing personal information and types of preferred tourism places as a factors affecting frequency of travel in Iraq. The obtained results show the prediction of preferred touristic places by tourists in Iraq.]]>
<![CDATA[Viterbi optimization for crime detection and identification ]]>
<![CDATA[Reem Razzaq Abdul Hussain]]>;
<![CDATA[Salih Mahdi Al-Qaraawi]]>;
<![CDATA[Muayad Sadik Croock]]>
<![CDATA[ TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 5: October 2020 ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.12928/telkomnika.v18i5.13398
<![CDATA[In this paper, we introduce two types of hybridization. The first contribution is the hybridization between the Viterbi algorithm and Baum Welch in order to predict crime locations. While the second contribution considers the optimization based on decision tree (DT) in combination with the Viterbi algorithm for criminal identification using Iraq and India crime dataset. This work is based on our previous work [1]. The main goal is to enhance the results of the model in both consuming times and to get a more accurate model. The obtained results proved the achievement of both goals in an efficient way.]]>
<![CDATA[Physical cyber-security algorithm for wireless sensor networks ]]>
<![CDATA[Dhuha Dheyaa Khudhur]]>;
<![CDATA[Muayad Sadik Croock]]>
<![CDATA[ TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 4: August 2021 ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.12928/telkomnika.v19i4.18464
<![CDATA[Today, the wireless sensor network (WSN) plays an important role in our daily life. In addition, it is used in many applications such as military, medical, greenhouse, and transport. Due to the sending data between its nodes or to the base station requires a connection link, the sensor nodes can be exposed to the many attacks that exploit the weaknesses of the network. One of the most important types of these attacks is the denial of service (DoS). DoS attack exhausts the system's resources that lead the system to be out of service. In this paper, a cyber-security algorithm is proposed for physical level of WSN that adopts message queuing telemetry transport (MQTT) protocol for data transmission and networking. This algorithm predicts the DoS attacks at the first time of happening to be isolated from the WSN. It includes three stages of detecting the attack, predicting the effects of this attack and preventing the attacks by excluding the predicted nodes from the WSN. We applied a type of DoS attack that is a DoS injection attack (DoSIA) on the network protocol. The proposed algorithm is tested by adopting three case studies to cover the most common cases of attacks. The experiment results show the superior of the proposed algorithm in detecting and solving the cyber-attacks.]]>
<![CDATA[Mobile learning architecture using fog computing and adaptive data streaming ]]>
<![CDATA[Shymaa Mohammed Jameel]]>;
<![CDATA[Muayad Sadik Croock]]>
<![CDATA[ TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 5: October 2020 ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.12928/telkomnika.v18i5.16712
<![CDATA[With the huge development in mobile and network fields, sensor technologies and fog computing help the students for more effective learning, flexible and in and effective manner from anywhere. Using the mobile device for learn encourage the transition to mobile computing (cloud and fog computing) which is led to the ability to design customized system that help student to learn via context aware learning which can be done by set the user preference and use proper methods to show only related manner subject. The presented study works on developing a system of e-learning which has been on the basis of fog computing concepts with deep learning approaches utilized for classification to the data content for accomplishing the context aware learning and use the adaptation of video quality using special equation and the data encrypted and decrypted using 3DES algorithm to ensure the security side of the operation.]]>
<![CDATA[Multi-level cyber security system for VANET ]]>
<![CDATA[Muntadher Naeem Yasir]]>;
<![CDATA[Muayad Sadik Croock]]>
<![CDATA[ Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 2: August 2020 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijeecs.v19.i2.pp940-948
<![CDATA[Recently, the cyber security of vehicular ad-hoc network (VANET) including two practicable: car-to-car and car-to-infrastructure has been considered due to importance. It has become possible to keep pace with the development in the world, where the safety of people is a priority in the development of technology in general and in particular in the field of VANET. In this paper, a cyber security system for VANET has been proposed to tackle the DOS attacks. The proposed system includes three security levels. Firstly, the registeration level that ask vehicles to be registered in the system, in which the network exclude the unrigestered ones. Secondly, the authentication level that checks the vehicles before joining the network. This is done by applying a proposed algorithm that considers the hash function and factory number. Thirdly, the proposed system ables to detect the DOS attack by any involved vehicle using the monitoring algorithm that allocate such vehicle to be excluded from the network. The obtained results show the efficient performance of the proposed system in managing the security of the VANET network. The multi-level system increases the security of the network, in which the attacks can be eliminated.]]>
<![CDATA[Adaptive security approach for wireless sensor network using RSA algorithm ]]>
<![CDATA[Maha Salah Asaad]]>;
<![CDATA[Muayad Sadik Croock]]>
<![CDATA[ Indonesian Journal of Electrical Engineering and Computer Science Vol 22, No 1: April 2021 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijeecs.v22.i1.pp361-368
<![CDATA[A type of distributed and self-regulating network is the wireless sensor network (WSN). The sensor nodes have limited computing capabilities, memory, battery power are needed to ensure a strong security design. In this paper, an adaptive cryptographic scheme for WSN that is operating on routing ad hoc on-demand vector routing (AODV) protocol. The adaptive term refers to the adopted mechanism between heavy and light asymmetric cryptography techniques of RSA. The heavy technique adopts the complete version of RSA algorithm, while the light one considers a reduced complexity version. This is to control the security operation over the included nodes even with low power ratio. In various case studies, the proposed scheme is checked and the result obtained shows the high efficiency of results in terms of protection guarantee.]]>
