Ozgur Koray Sahingoz - researchr alias

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Viewing Publication 1 - 51 from 51

2024

DEPHIDES: Deep Learning Based Phishing Detection SystemOzgur Koray Sahingoz, Ebubekir Buber, Emin Kugu. access, 12:8052-8070, 2024. [doi]

2023

Protecting Android Devices From Malware Attacks: A State-of-the-Art Report of Concepts, Modern Learning Models and ChallengesEsra Calik Bayazit 0001, Ozgur Koray Sahingoz, Buket Dogan. access, 11:123314-123334, 2023. [doi]

Deep Learning-Based Brain Tumor Detection and Classification of MRI ImagesFirdowsa Cige, Ozgur Koray Sahingoz. icccnt 2023: 1-6 [doi]

2021

Internet of Things (IoTs) Security: Intrusion Detection using Deep LearningOzgur Koray Sahingoz, Ugur Cekmez, Ali Buldu. jwe, 20(6), 2021. [doi]

2020

Job Shop Scheduling Problem and Solution Algorithms: A ReviewCeren Cebi, Enes Atac, Ozgur Koray Sahingoz. icccnt 2020: 1-7 [doi]

A Comparative Analysis for Machine Learning based Software Defect Prediction SystemsMurat Cetiner, Ozgur Koray Sahingoz. icccnt 2020: 1-7 [doi]

In-Vehicle Intrusion Detection System on Controller Area Network with Machine Learning ModelsSoner Can Kalkan, Ozgur Koray Sahingoz. icccnt 2020: 1-6 [doi]

Increasing the Performance of Machine Learning-Based IDSs on an Imbalanced and Up-to-Date DatasetGözde Karatas, Önder Demir, Ozgur Koray Sahingoz. access, 8:32150-32162, 2020. [doi]

Real-Time Content-Based Cyber Threat Detection with Machine LearningEmre Kocyigit, Mehmet Korkmaz, Ozgur Koray Sahingoz, Banu Diri. isda 2021: 1394-1403 [doi]

Detection of Phishing Websites by Using Machine Learning-Based URL AnalysisMehmet Korkmaz, Ozgur Koray Sahingoz, Banu Diri. icccnt 2020: 1-7 [doi]

Deep Neural Network Based Phishing Classification on a High-Risk URL DatasetMehmet Korkmaz, Emre Kocyigit, Ozgur Koray Sahingoz, Banu Diri. socpar 2021: 648-657 [doi]

2019

A Deep Learning Based Intrusion Detection System on GPUsGözde Karatas, Önder Demir, Ozgur Koray Sahingoz. ecai2 2019: 1-6 [doi]

Machine learning based phishing detection from URLsOzgur Koray Sahingoz, Ebubekir Buber, Önder Demir, Banu Diri. eswa, 117:345-357, 2019. [doi]

2018

Network anomaly detection with deep learningUgur Cekmez, Zeki Erdem, Ali Gükhan Yavuz, Ozgur Koray Sahingoz, Ali Buldu. siu 2018: 1-4 [doi]

2017

2016

Data gathering from a large scale Wireless Sensor network with means of Unmanned Aerial VehiclesSibel Birtane, Ozgur Koray Sahingoz. siu 2016: 2105-2108 [doi]

Multi-UAV Path Planning with Parallel Genetic Algorithms on CUDA ArchitectureUgur Cekmez, Mustafa Ozsiginan, Ozgur Koray Sahingoz. gecco 2016: 1079-1086 [doi]

Parallel solution of large scale Traveling Salesman Problems by using clustering and Evolutionary AlgorithmsUgur Cekmez, Ozgur Koray Sahingoz. siu 2016: 2165-2168 [doi]

Controlling moving targets by using unmanned aerial vehiclesMustafa Ozsiginan, Ugur Cekmez, Ozgur Koray Sahingoz. siu 2016: 2181-2184 [doi]

A Publish/Subscribe messaging system for wireless sensor networksYasin Tekin, Ozgur Koray Sahingoz. DICTAP 2016: 171-176 [doi]

GPU-Accelerated Flight Route Planning for Multi-UAV Systems Using Simulated AnnealingTolgahan Turker, Guray Yilmaz, Ozgur Koray Sahingoz. aimsa 2016: 279-288 [doi]

Increasing the coverage of homogeneous wireless sensor network by genetic algorithm based deploymentOzan Zorlu, Ozgur Koray Sahingoz. DICTAP 2016: 109-114 [doi]

2015

Solving asymmetric traveling salesman problem using genetic algorithmSibel Birtane Akar, Ozgur Koray Sahingoz. siu 2015: 1655-1659 [doi]

An intrusion detection system based on neural networkOkan Can, Ozgur Koray Sahingoz. siu 2015: 2302-2305 [doi]

The study of experimental data transmission in wireless sensor networksCansin Turguner, Ozgur Koray Sahingoz. siu 2015: 2222-2225 [doi]

2014

2013

Flying Ad-Hoc Networks (FANETs): A surveyIlker Bekmezci, Ozgur Koray Sahingoz, Samil Temel. adhoc, 11(3):1254-1270, 2013. [doi]

Autonomous unmanned aerial vehicle route planningNuri Ozalp, Ozgur Koray Sahingoz, Ugur Ayan. siu 2013: 1-4 [doi]

Large scale wireless sensor networks with multi-level dynamic key management schemeOzgur Koray Sahingoz. jsa, 59(9):801-807, 2013. [doi]

2012

Using Agent Based Modeling and Simulation for Data MiningEmin Kugu, Levent Altay, Ozgur Koray Sahingoz. iconip 2012: 258-265 [doi]

Aspect-Oriented Design and Implementation of Secure Agent Communication SystemOzgur Koray Sahingoz, Emin Kugu. iconip 2012: 213-220 [doi]

2011

Wireless Sensor Networks Based on Publish/Subscribe Messaging ParadigmsHakan Cam, Ozgur Koray Sahingoz, Ahmet Coskun Sonmez. GPC 2011: 233-242 [doi]

Fuzzy logic injury design for crowd modelingEmin Kugu, Jiang Li, Frederic D. McKenzie, Ozgur Koray Sahingoz. springsim 2011: 66-72 [doi]

2010

Multi agent design and implementation of crowd injury modelEmin Kugu, Frederic D. McKenzie, Jiang Li, Ozgur Koray Sahingoz. springsim 2010: 11 [doi]

2007

Agent-Based Fault Tolerant Distributed Event SystemOzgur Koray Sahingoz, Ahmet Coskun Sonmez. cai, 26(5):489-506, 2007. [doi]

2006

Etmen tabanlı dağıtılmış olay sistemi (Agent based distributed event system)Ozgur Koray Sahingoz. PhD thesis, İstanbul Technical University, Turkey, 2006. [doi]

Mobile Agent Based Publication Alerting SystemOzgur Koray Sahingoz, A. Coskun Sonmez. iccS 2006: 903-907 [doi]

Fault Tolerance Mechanism of Agent-Based Distributed Event SystemOzgur Koray Sahingoz, A. Coskun Sonmez. iccS 2006: 192-199 [doi]

2004

2003

MAPSEC: Mobile-Agent Based Publish/Subscribe Platform for Electronic CommerceOzgur Koray Sahingoz, Nadia Erdogan. iscis 2003: 348-355 [doi]

RUBDES: A Rule Based Distributed Event SystemOzgur Koray Sahingoz, Nadia Erdogan. iscis 2003: 284-291 [doi]

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