Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7148

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Now showing 1 - 7 of 7
  • Conference Object
    User Selection for Secure Massive Mimo Based Mobile Edge Computing With Delay-Sensitive Applications
    (IEEE, 2025) Yilmaz, Saadet Simay; Ozbek, Berna
    Mobile edge computing (MEC) has been a promising technology that leverages cloud computing capabilities at the network edge to address compute-intensive and delay-sensitive applications of mobile users with limited resources. Employing massive multiple-input multiple-output (mMIMO) and nonorthogonal multiple access (NOMA) in the MEC system facilitates simultaneous task offloading for multiple users, resulting in increased spectral efficiency and decreased offloading delay. Despite the great potential of the mMIMO-NOMA-based MEC system, offloading computation tasks to MEC servers can introduce inherent security concerns and vulnerabilities. We address a notable gap in the existing literature by investigating the effect of user selection to minimize the delay in MEC while enhancing the security of this framework. Specifically, this paper presents a user selection strategy for an uplink mMIMO-NOMA-based secure MEC system in the presence of a malicious eavesdropper (Eve) to minimize offloading and computing delays, subject to the transmit power, computing resource, and secrecy rate constraints with remote computing. We propose a two-step secure user selection algorithm and solve the optimization problem with the active-set algorithm. The simulation results demonstrate the effectiveness of the proposed user selection strategy on secure MEC with a malicious Eve by minimizing the task execution delay compared to the benchmark schemes.
  • Conference Object
    Citation - WoS: 1
    Citation - Scopus: 1
    Towards the Construction of a Software Benchmarking Dataset Via Systematic Literature Review
    (IEEE, 2024) Yurum, Ozan Rasit; Unlu, Huseyin; Demirors, Onur
    Effort estimation is a fundamental task during the planning of software projects. Prediction models usually rely on two essential factors: software size and effort data. Measuring the size of the software can be done at various stages of the project with desired accuracy. Nevertheless, the industry faces challenges when it comes to collecting reliable actual effort data. Consequently, organizations encounter difficulties in establishing effort prediction models. Benchmarking datasets are available, but, in most cases, they have huge variances that make them less useful for effort prediction. In this study, we aimed to answer whether creating a software benchmarking dataset is possible by gathering the data from the literature. To the best of our knowledge, a comprehensive dataset that gathers the functional size and effort data of the studies from the literature is unavailable. For this purpose, we performed a systematic literature review to find studies that include projects measured with the COSMIC Functional Size Measurement (FSM) method and the related effort. As a result, we formed a dataset including 337 records from 18 studies that shared the corresponding size and effort data. Although we performed a limited search, we created a larger dataset than many datasets in the literature. In light of our review, we obtained that most studies did not share their dataset, and many lacked case details such as implementation environment and the scope of software development life cycle activities included in the effort data. We also compared the dataset with the ISBSG repository and found that our dataset has less variation in productivity. Our review showed the applicability of creating a software benchmarking dataset is possible by gathering the data from the literature. In conclusion, this study addresses gaps in the literature through a cost-free and easily extendable dataset.
  • Conference Object
    Outage and Ser Analyses for Dual-Hop Inter-Satellite Thz Communication
    (IEEE, 2024) Ahrazoglu, Evla Safahan; Erdogan, Eylem; Altunbas, Ibrahim
    Inter-satellite links have crucial significance in offering global connectivity and low latency in satellite mega-constellations. In such architectures, system capacity and data-rate can be enhanced by utilizing terahertz (THz) frequencies. Considering the importance of inter-satellite links in mega-constellations and the mounting interest in THz communications, in this study, an inter-satellite THz communication system is examined. In this setup, a low earth orbit (LEO) satellite is deployed to assist transmission between two LEO satellites by using variable-gain amplify-and-forward relaying protocol. The system's performance is analyzed in terms of both outage probability and symbol error rate, and asymptotic outage characteristic is explored. All theoretical findings are verified by Monte-Carlo simulations.
  • Conference Object
    Citation - Scopus: 1
    Colorimetric Detection of Creatinine on an Electromechanical Mixing Platform
    (IEEE, 2021) Tarim, E. Alperay; Oksuz, Cemre; Karakuzu, Betul; Tekin, H. Cumhur
    We present an electromechanical mixing platform integrated with a smartphone for colorimetric detection of creatinine using an enzymatic reaction between horseradish peroxidase (HRP) and 3,3',5,5'-Tetramethylbenzidine (TMB). On the developed platform, the color resulting from the reaction between HRP and TMB in a reservoir of a poly(methyl methacrylate) (PMMA) chip is measured using a smartphone camera. With mixing, diluted creatine solutions can be detected in 1 min that can reduce long waiting times of creatinine detection due to enzymatic reactions. Furthermore, smartphone-based colorimetric detection reduces the cost of analysis by eliminating costly equipment for spectrometric measurements without affecting the sensitivity of analysis. We, therefore, think that the presented platform integrated with a smartphone could be used for automatic measurement of creatinine level in the sample by allowing low-cost and rapid analysis, and this would be particularly beneficial for monitoring of chronic kidney disease (CKD) at the point-of-care setting.
  • Conference Object
    Citation - Scopus: 2
    Reconfigurable Intelligent Surface Assisted Pnc System With Multiple Antennas
    (IEEE, 2023) Ilguy, Mert; Ozbek, Berna; Musavian, Leila; Mumtaz, Rao
    Reconfigurable Intelligent Surface (RIS) is one of the promising key technologies for next generation wireless communication systems since it smartly controls wireless propagation environments. Besides, the combination of wireless physical network coding (PNC) and multiple antennas improves the overall system performance. In this paper, we propose an efficient RIS-assisted PNC with multiple antennas to reduce delay and error probability while establishing reliable transmission between the users which are far from each other and communicating via a base station with the help of the RISs. The extensive performance results are provided for the proposed scheme for the RIS-assisted PNC with multiple antennas.
  • Conference Object
    Citation - WoS: 3
    Citation - Scopus: 7
    A Taxonomic Survey of Model Extraction Attacks
    (IEEE, 2023) Genç, Didem; Özuysal, Mustafa; Tomur, Emrah
    A model extraction attack aims to clone a machine learning target model deployed in the cloud solely by querying the target in a black-box manner. Once a clone is obtained it is possible to launch further attacks with the aid of the local model. In this survey, we analyze existing approaches and present a taxonomic overview of this field based on several important aspects that affect attack efficiency and performance. We present both early works and recently explored directions. We conclude with an analysis of future directions based on recent developments in machine learning methodology.
  • Conference Object
    Citation - Scopus: 1
    Daylight Performance and Lighting Energy Savings of Amorphous and Crystalline Silicon Solar Cells in an Architecture Studio
    (IEEE, 2023) Taşer, Aybüke; Kazanasmaz, Zehra Tuğçe
    Semi-transparent photovoltaic (PV) glass increased its popularity due to its energy and environmental advantages, which can generate electricity on-site and utilize natural daylight. They use thin-film solar cells to allow daylight to enter space and generate electrical energy. Crystalline and amorphous silicon (a-Si) solar cells are the most prominent in literature and industry due to their high efficiency and sufficient transparency. This study aims to assess the daylight and lighting energy-saving potential of thin-film crystalline and a-Si photovoltaic glass in an architecture studio in Izmir, Turkey. The simulation engine applied two types of solar cells on existing windows to evaluate the advantage of such glass for daylight performance and lighting energy consumption. Spatial Daylight Autonomy (sDA), a climate-based annual daylight performance metric, evaluates the daylight performance of the studio. Research findings note that such solar cells enhance the visual comfort of occupants and the daylight performance of the studio. In addition, crystalline silicon solar cells can cover the studio's whole lighting loads in the summer and fall seasons and balance them up to 66% and 23% in the spring and winter seasons, respectively. These have higher transmittance and peak power, thus; resulting in higher energy and daylight performance. © 2023 IEEE.