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            <front>

                <journal-meta>
                                    <journal-id></journal-id>
            <journal-title-group>
                                                                                    <journal-title>Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi</journal-title>
            </journal-title-group>
                            <issn pub-type="ppub">1012-2354</issn>
                                                                                                        <publisher>
                    <publisher-name>Erciyes Üniversitesi</publisher-name>
                </publisher>
                    </journal-meta>
                <article-meta>
                                        <article-id pub-id-type="doi">10.65520/erciyesfen.1832165</article-id>
                                                                <article-categories>
                                            <subj-group  xml:lang="en">
                                                            <subject>Electrical Energy Transmission, Networks and Systems</subject>
                                                            <subject>Power Plants</subject>
                                                    </subj-group>
                                            <subj-group  xml:lang="tr">
                                                            <subject>Elektrik Enerjisi Taşıma, Şebeke ve Sistemleri</subject>
                                                            <subject>Elektrik Tesisleri</subject>
                                                    </subj-group>
                                    </article-categories>
                                                                                                                                                        <title-group>
                                                                                                                        <trans-title-group xml:lang="tr">
                                    <trans-title>Akıllı Şebekeler için Güvenilir Düğüm Tabanlı Siber Dayanıklı Dağıtık Ekonomik Dağıtım</trans-title>
                                </trans-title-group>
                                                                                                                                                                                                <article-title>Reliable Node-Based Cyber Resilient Distributed Economic Dispatch for Smart Grids</article-title>
                                                                                                    </title-group>
            
                                                    <contrib-group content-type="authors">
                                                                        <contrib contrib-type="author">
                                                                    <contrib-id contrib-id-type="orcid">
                                        https://orcid.org/0000-0003-2082-7796</contrib-id>
                                                                <name>
                                    <surname>Şen</surname>
                                    <given-names>Tolga</given-names>
                                </name>
                                                                    <aff>KIRIKKALE ÜNİVERSİTESİ, MÜHENDİSLİK FAKÜLTESİ</aff>
                                                            </contrib>
                                                    <contrib contrib-type="author">
                                                                    <contrib-id contrib-id-type="orcid">
                                        https://orcid.org/0000-0002-5140-1213</contrib-id>
                                                                <name>
                                    <surname>Erten</surname>
                                    <given-names>Mustafa Yasin</given-names>
                                </name>
                                                                    <aff>KIRIKKALE ÜNİVERSİTESİ, MÜHENDİSLİK FAKÜLTESİ</aff>
                                                            </contrib>
                                                    <contrib contrib-type="author">
                                                                    <contrib-id contrib-id-type="orcid">
                                        https://orcid.org/0000-0003-3051-4259</contrib-id>
                                                                <name>
                                    <surname>Aydilek</surname>
                                    <given-names>Hüseyin</given-names>
                                </name>
                                                                    <aff>KIRIKKALE ÜNİVERSİTESİ, MÜHENDİSLİK FAKÜLTESİ</aff>
                                                            </contrib>
                                                                                </contrib-group>
                        
                                        <pub-date pub-type="pub" iso-8601-date="20260402">
                    <day>04</day>
                    <month>02</month>
                    <year>2026</year>
                </pub-date>
                                        <volume>42</volume>
                                        <issue>1</issue>
                                                
                        <history>
                                    <date date-type="received" iso-8601-date="20251128">
                        <day>11</day>
                        <month>28</month>
                        <year>2025</year>
                    </date>
                                                    <date date-type="accepted" iso-8601-date="20251224">
                        <day>12</day>
                        <month>24</month>
                        <year>2025</year>
                    </date>
                            </history>
                                        <permissions>
                    <copyright-statement>Copyright © 1985, Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi</copyright-statement>
                    <copyright-year>1985</copyright-year>
                    <copyright-holder>Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi</copyright-holder>
                </permissions>
            
                                                                                                <trans-abstract xml:lang="tr">
                            <p>Akıllı şebekelerde dağıtık ekonomik dağıtımın (ED) siber güvenliği, sisteminverimli ve güvenilir çalışması için kritik bir öneme sahiptir. Özellikle, bir ajanınkendi maliyet parametrelerini manipüle ederek sistemi gizlice optimalolmayan bir duruma getirdiği sinsi saldırılar, tespitinin zorluğu nedeniyle ciddibir tehdit oluşturduğu bilinmektedir. Bu çalışma, bahsedilen sinsi maliyetparametresi saldırılarına karşı, uygulaması basit ve mimari tabanlı yeni birsavunma stratejisi sunmaktadır. Önerilen yöntem, ağa stratejik olarakyerleştirilmiş güvenilir düğümler mimarisine dayanmakta ve normaldüğümlerin, kötü niyetli ajanlardan gelen anormal verileri güvenilirkomşularından aldıkları bilgiye göre proaktif olarak filtrelemesinisağlamaktadır. Stratejinin etkinliği, MATLAB ortamında gerçekleştirilensimülasyonlarla üç farklı senaryo altında test edilmiştir. Sonuçlar, önerilensavunma mekanizmasının saldırıyı başarıyla etkisiz hale getirdiğini, sağlıklıdüğümlerin optimal konsensüse ulaşmasını sağladığını ve sistemin ekonomikkayıp yaşamasını engellediği görülmüştür.</p></trans-abstract>
                                                                                                                                    <abstract><p>Cybersecurity of distributed economic dispatch (ED) within smart grids iscritical for the system’s efficiency and reliability. Especially stealth attacks,where an agent secretly manipulates its own cost parameters and turns thesystem into a non-optimal state, are known to pose a serious threat because ofdetection difficulty. This study offers a new, architecture-based defensestrategy against the mentioned stealthy cost parameter attacks, which is easierto implement. The proposed method is based on an architecture of wheretrusted nodes are strategically placed in the network and enable normal nodesto proactively filter abnormal data from malicious agents, based on informationreceived from trusted neighbors. The effectiveness of the strategy is testedunder three different scenario simulations in MATLAB. The results show thatthe proposed defense mechanism successfully neutralized the attack, enableshealthy nodes to reach optimal consensus, and prevents the system sufferingeconomic losses.</p></abstract>
                                                            
            
                                                                                        <kwd-group>
                                                    <kwd>Distributed Economic Dispatch</kwd>
                                                    <kwd>  Cyber Attack</kwd>
                                                    <kwd>  Reliable</kwd>
                                                    <kwd>  Consensus Algorithm</kwd>
                                                    <kwd>  Cyber Resilience</kwd>
                                                    <kwd>  Stealthy Attack</kwd>
                                            </kwd-group>
                            
                                                <kwd-group xml:lang="tr">
                                                    <kwd>Dağıtık Ekonomik Dağıtım</kwd>
                                                    <kwd>  Siber Saldırı</kwd>
                                                    <kwd>  Güvenilir</kwd>
                                                    <kwd>  Konsensüs Algoritması</kwd>
                                                    <kwd>  Sinsi Saldırı</kwd>
                                                    <kwd>  Siber Dayanıklılık</kwd>
                                            </kwd-group>
                                                                                                                                        </article-meta>
    </front>
    <back>
                            <ref-list>
                                    <ref id="ref1">
                        <label>1</label>
                        <mixed-citation publication-type="journal">[1] Tang, Z., Hill, D. J., &amp; Liu, T. (2018). A Novel Consensus-Based Economic Dispatch for Microgrids.
IEEE Transactions on Smart Grid, 9(5), 4535–4546.</mixed-citation>
                    </ref>
                                    <ref id="ref2">
                        <label>2</label>
                        <mixed-citation publication-type="journal">[2] Ospina, J., Liu, X., Konstantinou, C., &amp; Dvorkin, Y. (2021). On the Feasibility of Load-Changing
Attacks in Power Systems During the COVID-19 Pandemic. IEEE Access, 9, 2545–2563.</mixed-citation>
                    </ref>
                                    <ref id="ref3">
                        <label>3</label>
                        <mixed-citation publication-type="journal">[3] Lakshminarayana, S., Kammoun, A., Debbah, M., &amp; Poor, H. V. (2021). Data-Driven False Data
Injection Attacks Against Power Grids: A Random Matrix Approach. IEEE Transactions on Smart
Grid, 12(1), 635–646.</mixed-citation>
                    </ref>
                                    <ref id="ref4">
                        <label>4</label>
                        <mixed-citation publication-type="journal">[4] Huang, B., Li, Y., Zhan, F., Sun, Q., &amp; Zhang, H. (2022). A distributed robust economic dispatch
strategy for integrated energy system considering cyber-attacks. IEEE Transactions on
Industrial Informatics, 18(2), 880-889.</mixed-citation>
                    </ref>
                                    <ref id="ref5">
                        <label>5</label>
                        <mixed-citation publication-type="journal">[5] Li, P., Liu, Y., Xin, H., &amp; Jiang, X. (2018). A robust distributed economic dispatch strategy of virtual
power plant under cyber-attacks. IEEE Transactions on Industrial Informatics, 14(10), 4343–
4352.</mixed-citation>
                    </ref>
                                    <ref id="ref6">
                        <label>6</label>
                        <mixed-citation publication-type="journal">[6] Zhao, C., He, J., Cheng, P., &amp; Chen, J. (2017). Analysis of Consensus-Based Distributed Economic
Dispatch Under Stealthy Attacks. IEEE Transactions on Industrial Electronics, 64(6), 5107–
5117.</mixed-citation>
                    </ref>
                                    <ref id="ref7">
                        <label>7</label>
                        <mixed-citation publication-type="journal">[7] I. Ahmed, A. Basit, M. Rehan, A. Ali, M. Maaruf, and M. Khalid, “A Resilient Consensus-Based
Energy 5.0 Framework for Micro-Grids Under Ramp-Rate Constraints and Stochastic FDI
Attacks,” in 2024 IEEE International Conference on Industrial Technology (ICIT), pp. 1–7, Mar.
2024, doi: 10.1109/ICIT58233.2024.10540926.</mixed-citation>
                    </ref>
                                    <ref id="ref8">
                        <label>8</label>
                        <mixed-citation publication-type="journal">[8] X. Li, J. Yang, D. Du, Z. Zhou, K. Li, and L. Wu, “Resilient distributed economic dispatch for cyberphysical power systems,” Energy, vol. 332, p. 136881, 2025, doi:
10.1016/j.energy.2025.136881.</mixed-citation>
                    </ref>
                                    <ref id="ref9">
                        <label>9</label>
                        <mixed-citation publication-type="journal">[9] W. Chen and G.-P. Liu, “Privacy-Preserving Consensus-Based Distributed Economic Dispatch of
Smart Grids via State Decomposition,” IEEE/CAA Journal of Automatica Sinica, vol. 11, no. 5, pp.
1250–1263, May 2024, doi: 10.1109/JAS.2023.124122.</mixed-citation>
                    </ref>
                                    <ref id="ref10">
                        <label>10</label>
                        <mixed-citation publication-type="journal">[10] Z. Liu, M. Liu, Q. Wang, and Y. Tang, “False Data Injection Attacks on Data-Driven Algorithms in
Smart Grids Utilizing Distributed Power Supplies,” Engineering, vol. 51, pp. 62–74, Dec. 2024,
doi: 10.1016/j.eng.2024.11.025.</mixed-citation>
                    </ref>
                                    <ref id="ref11">
                        <label>11</label>
                        <mixed-citation publication-type="journal">[11] U. Saray and U. Çavdar, “Comparison of Different Optimization Algorithms in the Fashion MNIST
Dataset,” International Journal of Multidisciplinary Studies and Innovative Technologies, vol. 8,
no. 2, pp. 52–58, 2024, doi: 10.36287/ijmsit.8.2.1.</mixed-citation>
                    </ref>
                                    <ref id="ref12">
                        <label>12</label>
                        <mixed-citation publication-type="journal">[12] A. Zibaeirad, F. Koleini, S. Bi, T. Hou, and T. Wang, “A Comprehensive Survey on the Security of
Smart Grid: Challenges, Mitigations, and Future Research Opportunities,” arXiv preprint
arXiv:2407.07966, Jul. 2024.</mixed-citation>
                    </ref>
                                    <ref id="ref13">
                        <label>13</label>
                        <mixed-citation publication-type="journal">[13] T.-L. Liao, C.-P. Lin, and Y.-Y. Hou, “Secure Smart Grid Power Monitoring and Simulations Based
on Homomorphic Encryption,” IEEE Access, vol. 12, pp. 122820–122829, Sept. 2024, doi:
10.1109/ACCESS.2024.3453998.</mixed-citation>
                    </ref>
                                    <ref id="ref14">
                        <label>14</label>
                        <mixed-citation publication-type="journal">[14] I. Oleinikova, D. Mishchenko, and C. Skaga, “Cyber-Physical Studies for Smart Grid Sustainability
and Resilience,” in Proc. ESREL-SRA-E 2025: 35th European Safety and Reliability Conference &amp;
33rd Society for Risk Analysis Europe Conference, pp. 659–665, 2025, doi: 10.3850/978-981-
94-3281-3_ESREL-SRA-E2025-P7079-cd.</mixed-citation>
                    </ref>
                                    <ref id="ref15">
                        <label>15</label>
                        <mixed-citation publication-type="journal">[15] Ye, T., Zhang, H., &amp; Chen, Z. (2022). Resilient Distributed Optimization Algorithm for Economic
Dispatch Against Cyber-Attacks in Smart Grid. In 2022 China Automation Congress (CAC) (pp.
105-110). IEEE.</mixed-citation>
                    </ref>
                                    <ref id="ref16">
                        <label>16</label>
                        <mixed-citation publication-type="journal">[16] Zhang, W., &amp; He, X. (2018). Stealthy attack detection and solution strategy for consensus-based
distributed economic dispatch problem. Electrical Power and Energy Systems, 103, 233–246.</mixed-citation>
                    </ref>
                                    <ref id="ref17">
                        <label>17</label>
                        <mixed-citation publication-type="journal">[17] Zhang, Z., Yue, D., Dou, C., Cheng, Z., &amp; Chen, L. (2019). A Robust Consensus-Based Economic
Dispatch Strategy Under DoS Attack. In 2019 IEEE International Conference on Industrial CyberPhysical Systems (ICPS) (pp. 127-132). IEEE.</mixed-citation>
                    </ref>
                                    <ref id="ref18">
                        <label>18</label>
                        <mixed-citation publication-type="journal">[18] Y. Liu, H. Xin, Z. Qu, ve D. Gan, &quot;An Attack-Resilient Cooperative Control Strategy of Multiple
Distributed Generators in Distribution Networks,&quot; IEEE Transactions on Smart Grid, vol. 7, no.
6, pp. 2923-2932, Nov. 2016.</mixed-citation>
                    </ref>
                                    <ref id="ref19">
                        <label>19</label>
                        <mixed-citation publication-type="journal">[19] P. Zhao, C. Gu, Y. Ding, H. Liu, Y. Bian, ve S. Li, &quot;Cyber-Resilience Enhancement and Protection for
Uneconomic Power Dispatch Under Cyber-Attacks,&quot; IEEE Transactions on Power Delivery, vol.
36, no. 4, pp. 2253-2263, Aug. 2021.</mixed-citation>
                    </ref>
                                    <ref id="ref20">
                        <label>20</label>
                        <mixed-citation publication-type="journal">[20] M. Fiuzy ve S. Rass, &quot;Reaching Consensus Under DoS Attacks on the Communication Layer,&quot; 2025
Innovations in Intelligent Systems and Applications Conference ASYU, 2025.</mixed-citation>
                    </ref>
                                    <ref id="ref21">
                        <label>21</label>
                        <mixed-citation publication-type="journal">[21] J. Yang ve J. Du, &quot;Distributed Economic Dispatch Based on Finite-Time Double-Consensus
Algorithm of Integrated Energy System,&quot; Frontiers in Energy Research, vol. 10, Article 907719,
Jun. 2022.</mixed-citation>
                    </ref>
                            </ref-list>
                    </back>
    </article>
