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Özkan Canay

Sakarya University of Applied Sciences, Computer Technologies, Faculty Member

Sakarya University, Computer Engineering, Faculty Member

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Currently focusing on my new manuscript work in computer and information engineering.
Supervisors: Prof. Dr. Umit Kocabicak
Address: Sakarya, Türkiye

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Papers by Özkan Canay

Predictive modeling and anomaly detection in large-scale web portals through the CAWAL framework

Knowledge-Based Systems, 2024

This study presents an approach that uses session and page view data collected through the CAWAL ... more This study presents an approach that uses session and page view data collected through the CAWAL framework, enriched through specialized processes, for advanced predictive modeling and anomaly detection in web usage mining (WUM) applications. Traditional WUM methods often rely on web server logs, which limit data diversity and quality. Integrating application logs with web analytics, the CAWAL framework creates comprehensive session and page view datasets, providing a more detailed view of user interactions and effectively addressing these limitations. This integration enhances data diversity and quality while eliminating the preprocessing stage required in conventional WUM, leading to greater process efficiency. The enriched datasets, created by cross-integrating session and page view data, were applied to advanced machine learning models, such as Gradient Boosting and Random Forest, which are known for their effectiveness in capturing complex patterns and modeling non-linear relationships. These models achieved over 92% accuracy in predicting user behavior and significantly improved anomaly detection capabilities. The results show that this approach offers detailed insights into user behavior and system performance metrics, making it a reliable solution for improving large-scale web portals' efficiency, reliability, and scalability.

CAWAL: A novel unified analytics framework for enterprise web applications and multi-server environments

Information Processing & Management, 2024

CAWAL provides on-premises analytics with data governance. Merges web analytics and application l... more

Akıllı Şebekelerde Güvenli Haberleşme Tabanlı Güç Akışı Analizi

The coordination of the power system management with the phasor measurement devices (PMUs) in rea... more The coordination of the power system management with the phasor measurement devices (PMUs) in real time on the load side and the production side is carried out within the context of smartgrid studies. Smartgrid evolves power systems into equipped with information systems at the same time opens grid to external threats. The fact that the network is resistant to these threats, which are described as cyber attacks, has a strategic precaution. Within the smartgrid studies, the cyber attack openness concept has a very important working area. In this study, a secure communication based power flow management system has been developed. The instantaneous parameter shares of the electrical units connected to the PMU bus are made securely by using RSA encryption method in accordiance with topological priorities of IEEE model. It has been shown that the power flow analyzes for the power systems studied show that the bus voltage and power values are within the stability limits. It has been demonstrated that RSA data encryption method has been applied successfully.

Agent Based University Planning of Sakarya University:"cawis" Project

by Özkan Canay and Mehmet Taskin

Journal of Theoretical and Applied Information Technology, 2005

The core aim of Agent Based University Planning project of Sakarya University is designing and im... more The core aim of Agent Based University Planning project of Sakarya University is designing and implementation of a system that is based on Distributed Artificial Intelligence technique for scheduling and planning to face the problems that often takes place in a university administration division. This report particularly focuses on course planning, resource allocation, class timetabling, and office allocation, exam scheduling and other administrative and organizational bureaucracy of a university. Our goal is to define a hierarchical multi-agent architecture for the university administrative functions and design and implement a personnel agent for each entity stumble upon in that division. Designing information storage and distribution agents for the university environment is the key objective of this project.

An innovative data collection method to eliminate the preprocessing phase in web usage mining

Engineering Science and Technology, an International Journal, 2023

The underlying data source for web usage mining (WUM) is commonly thought to be server logs. Howe... more The underlying data source for web usage mining (WUM) is commonly thought to be server logs. However, access log files ensure quite limited data about the clients. Identifying sessions from this messy data takes considerable effort, and operations performed for this purpose do not always yield excellent results. Also, this data cannot be used for web analytics efficiently. This study proposes a method for user tracking, session management, and collecting web usage data. The method is mainly based on an innovative approach for using collected data for web analytics extraction as the data source in web usage mining. An application-based API has been developed with a different strategy from conventional client-side methods to obtain and process log data. The log data has been successfully gathered by integrating the technique into an enterprise web application. The results reveal that the homogeneous data collected and stored with this method is more convenient to browse, filter, and process than web server logs. This structured data can be used effortlessly as a reliable data source for high-performance web usage mining activity, real-time web analytics, machine learning algorithms, or a functional recommendation system.

Determining Relative Arithmetic Mean and Upper Bound in Sakarya University Relative Grading System Using Artificial Neural Network

by Halil Arslan and Özkan Canay

Istanbul University - DergiPark, Aug 1, 2007

Evaluation process is done after measuring results are gathered in relative evaluation system and... more Evaluation process is done after measuring results are gathered in relative evaluation system and a criteria is determined. Grades taken from exam, homework, lab, application and such like by students are transmitted preoperation in order to derive success grade. This grade is called unconditional grade. When this point is acquired, firstly every activity grades (quiz, final, homework etc.) is multiply independently percentage value (%90, %20) and these is accumulated. After raw success grade is calculated, these are exchanged to relative points [1]. At this phase, a specific distribution related with trainer is performed to determine an appropriate relative grade dis tribution. At this paper, in order to define suitable distribution, grade data belonging to previous semester and year is trained by neural network and relative arithmetic mean and it is studied such that upper value determine.

A new neuro-dominance rule for single-machine tardiness problem with double due date

Neural Computing and Applications, 2015

In this study, the single-machine total weighted tardiness scheduling problem with double due dat... more In this study, the single-machine total weighted tardiness scheduling problem with double due date has been addressed. The neuro-dominance rule (NDR-D) is proposed to decrease the total weighted tardiness (TWT) for the double due date. To obtain NDR-D, a back-propagation artificial neural network was trained using 12,000 data items and tested using another 15,000 items. The adjusted pairwise interchange method was used to prepare training and test data of the neural network. It was proved that if there is any sequence violating the proposed NDR-D then, according to the TWT criterion, these violating jobs are switched. The proposed NDR was compared with a number of generated heuristics. However, all of the used heuristics were generated for double due date based on using the original heuristic (ATC, COVERT, SPT, LPT, EDD, WDD, WSPT and WPD). These generated competing heuristics were called ATC1, ATC2, ATC3, COV1, COV2, COV3, COV4, EDD1, EDD2, EDD3, WDD1, WDD2, WDD3, WSPT1, WSPT2, WSPT3, WPD1, WPD2, WPD3 and WPD4. The arrangements among the heuristics were made according to the double due date. The proposed NDR-D was applied to the generated heuristics and metaheuristics, simulated annealing and genetic algorithms, for a set of randomly generated problems. Problem sizes were chosen as 50, 70 and 100. In this study, 202,500 problems were randomly generated and used to demonstrate the performance of NDR-D. From the computational results, it can be clearly seen that the NDR-D dominates the generated heuristics and metaheuristics in all runs. Additionally, it is possible to see which heuristics are the best for the double due date single-machine TWT problems.

Comparison of Data Transfer Performance of BitTorrent Transmission Protocols

Cumhuriyet Science Journal

BitTorrent, one of the distributed file sharing protocols, is regarded as one of the first exampl... more BitTorrent, one of the distributed file sharing protocols, is regarded as one of the first examples of decentralized Internet philosophy and is among the important research areas in this context. TCP was initially used as the transport layer protocol in BitTorrent, and the transition to the uTP protocol was made because of the problems of latency and excessive bandwidth consumption. Later, with WebTorrent, which is a BitTorrent protocol adapted to the web, WebRTC was proposed as a transport layer protocol. Thus, BitTorrent protocol is enabled to work directly through Internet browsers without using any plugin. In this study, the data exchange sizes in the torrent shares of these three transmission protocols have been compared and the advantages and disadvantages of these protocols were demonstrated in this context.

Books by Özkan Canay

CYBER THREAT INTELLIGENCE SYSTEMS AND APPLICATIONS

Academic Research and Reviews in Engineering Sciences, 2023

Utilization of Information Systems to Enhance the Efficiency of Internal Audit Activity Management and Audit Testing Processes

Current Debates on Natural and Engineering Sciences 11, 2023

Digital Transformation and Distance Education Systems of Universities in Türkiye During the Pandemic

Current Debates on Natural and Engineering Sciences 11, 2023

Design and Infrastructure of SCI Journal Search Engine

Researches on Science and Art in 21st Century Turkey Volume 2, 2017

Within it is getting more important to publish articles on the journals that are scanned by the s... more Within it is getting more important to publish articles on the journals that are scanned by the scientific indexes; also it is getting much more critical to make a decision on sending the applicant article to the suitable journal. But lacking of a practical tool on filtering the search on the journals makes it harder for the Turkish scientists. In this study, there is information about a search engine that can search the scientific journals by the SCI, SCI Expanded, SSCI and A&HCI indexes due to some special standards, so called the Scientific Indexed Journal Search Engine (BIDAM) and about its software architecture, data gathering and using processes. In the developed search engine, the information scanned through 12,000 indexed journals comes from different sources gathered together in a unique database and is supported with a flexible structure. According to this, at the end of the search, it was become possible and easy to approach the publisher’s information, the publication rate, citation amount, impact factor and several other important features of the resulted journals. Beside in this study, there were presented some important and significant statistics that were obtained in the journals building within the database.

Predictive modeling and anomaly detection in large-scale web portals through the CAWAL framework

Knowledge-Based Systems, 2024

This study presents an approach that uses session and page view data collected through the CAWAL ... more This study presents an approach that uses session and page view data collected through the CAWAL framework, enriched through specialized processes, for advanced predictive modeling and anomaly detection in web usage mining (WUM) applications. Traditional WUM methods often rely on web server logs, which limit data diversity and quality. Integrating application logs with web analytics, the CAWAL framework creates comprehensive session and page view datasets, providing a more detailed view of user interactions and effectively addressing these limitations. This integration enhances data diversity and quality while eliminating the preprocessing stage required in conventional WUM, leading to greater process efficiency. The enriched datasets, created by cross-integrating session and page view data, were applied to advanced machine learning models, such as Gradient Boosting and Random Forest, which are known for their effectiveness in capturing complex patterns and modeling non-linear relationships. These models achieved over 92% accuracy in predicting user behavior and significantly improved anomaly detection capabilities. The results show that this approach offers detailed insights into user behavior and system performance metrics, making it a reliable solution for improving large-scale web portals' efficiency, reliability, and scalability.

CAWAL: A novel unified analytics framework for enterprise web applications and multi-server environments

Information Processing & Management, 2024

CAWAL provides on-premises analytics with data governance. Merges web analytics and application l... more

Akıllı Şebekelerde Güvenli Haberleşme Tabanlı Güç Akışı Analizi

The coordination of the power system management with the phasor measurement devices (PMUs) in rea... more The coordination of the power system management with the phasor measurement devices (PMUs) in real time on the load side and the production side is carried out within the context of smartgrid studies. Smartgrid evolves power systems into equipped with information systems at the same time opens grid to external threats. The fact that the network is resistant to these threats, which are described as cyber attacks, has a strategic precaution. Within the smartgrid studies, the cyber attack openness concept has a very important working area. In this study, a secure communication based power flow management system has been developed. The instantaneous parameter shares of the electrical units connected to the PMU bus are made securely by using RSA encryption method in accordiance with topological priorities of IEEE model. It has been shown that the power flow analyzes for the power systems studied show that the bus voltage and power values are within the stability limits. It has been demonstrated that RSA data encryption method has been applied successfully.

Agent Based University Planning of Sakarya University:"cawis" Project

by Özkan Canay and Mehmet Taskin

Journal of Theoretical and Applied Information Technology, 2005

The core aim of Agent Based University Planning project of Sakarya University is designing and im... more The core aim of Agent Based University Planning project of Sakarya University is designing and implementation of a system that is based on Distributed Artificial Intelligence technique for scheduling and planning to face the problems that often takes place in a university administration division. This report particularly focuses on course planning, resource allocation, class timetabling, and office allocation, exam scheduling and other administrative and organizational bureaucracy of a university. Our goal is to define a hierarchical multi-agent architecture for the university administrative functions and design and implement a personnel agent for each entity stumble upon in that division. Designing information storage and distribution agents for the university environment is the key objective of this project.

An innovative data collection method to eliminate the preprocessing phase in web usage mining

Engineering Science and Technology, an International Journal, 2023

The underlying data source for web usage mining (WUM) is commonly thought to be server logs. Howe... more The underlying data source for web usage mining (WUM) is commonly thought to be server logs. However, access log files ensure quite limited data about the clients. Identifying sessions from this messy data takes considerable effort, and operations performed for this purpose do not always yield excellent results. Also, this data cannot be used for web analytics efficiently. This study proposes a method for user tracking, session management, and collecting web usage data. The method is mainly based on an innovative approach for using collected data for web analytics extraction as the data source in web usage mining. An application-based API has been developed with a different strategy from conventional client-side methods to obtain and process log data. The log data has been successfully gathered by integrating the technique into an enterprise web application. The results reveal that the homogeneous data collected and stored with this method is more convenient to browse, filter, and process than web server logs. This structured data can be used effortlessly as a reliable data source for high-performance web usage mining activity, real-time web analytics, machine learning algorithms, or a functional recommendation system.

Determining Relative Arithmetic Mean and Upper Bound in Sakarya University Relative Grading System Using Artificial Neural Network

by Halil Arslan and Özkan Canay

Istanbul University - DergiPark, Aug 1, 2007

Evaluation process is done after measuring results are gathered in relative evaluation system and... more Evaluation process is done after measuring results are gathered in relative evaluation system and a criteria is determined. Grades taken from exam, homework, lab, application and such like by students are transmitted preoperation in order to derive success grade. This grade is called unconditional grade. When this point is acquired, firstly every activity grades (quiz, final, homework etc.) is multiply independently percentage value (%90, %20) and these is accumulated. After raw success grade is calculated, these are exchanged to relative points [1]. At this phase, a specific distribution related with trainer is performed to determine an appropriate relative grade dis tribution. At this paper, in order to define suitable distribution, grade data belonging to previous semester and year is trained by neural network and relative arithmetic mean and it is studied such that upper value determine.

A new neuro-dominance rule for single-machine tardiness problem with double due date

Neural Computing and Applications, 2015

In this study, the single-machine total weighted tardiness scheduling problem with double due dat... more In this study, the single-machine total weighted tardiness scheduling problem with double due date has been addressed. The neuro-dominance rule (NDR-D) is proposed to decrease the total weighted tardiness (TWT) for the double due date. To obtain NDR-D, a back-propagation artificial neural network was trained using 12,000 data items and tested using another 15,000 items. The adjusted pairwise interchange method was used to prepare training and test data of the neural network. It was proved that if there is any sequence violating the proposed NDR-D then, according to the TWT criterion, these violating jobs are switched. The proposed NDR was compared with a number of generated heuristics. However, all of the used heuristics were generated for double due date based on using the original heuristic (ATC, COVERT, SPT, LPT, EDD, WDD, WSPT and WPD). These generated competing heuristics were called ATC1, ATC2, ATC3, COV1, COV2, COV3, COV4, EDD1, EDD2, EDD3, WDD1, WDD2, WDD3, WSPT1, WSPT2, WSPT3, WPD1, WPD2, WPD3 and WPD4. The arrangements among the heuristics were made according to the double due date. The proposed NDR-D was applied to the generated heuristics and metaheuristics, simulated annealing and genetic algorithms, for a set of randomly generated problems. Problem sizes were chosen as 50, 70 and 100. In this study, 202,500 problems were randomly generated and used to demonstrate the performance of NDR-D. From the computational results, it can be clearly seen that the NDR-D dominates the generated heuristics and metaheuristics in all runs. Additionally, it is possible to see which heuristics are the best for the double due date single-machine TWT problems.

Comparison of Data Transfer Performance of BitTorrent Transmission Protocols

Cumhuriyet Science Journal

BitTorrent, one of the distributed file sharing protocols, is regarded as one of the first exampl... more BitTorrent, one of the distributed file sharing protocols, is regarded as one of the first examples of decentralized Internet philosophy and is among the important research areas in this context. TCP was initially used as the transport layer protocol in BitTorrent, and the transition to the uTP protocol was made because of the problems of latency and excessive bandwidth consumption. Later, with WebTorrent, which is a BitTorrent protocol adapted to the web, WebRTC was proposed as a transport layer protocol. Thus, BitTorrent protocol is enabled to work directly through Internet browsers without using any plugin. In this study, the data exchange sizes in the torrent shares of these three transmission protocols have been compared and the advantages and disadvantages of these protocols were demonstrated in this context.

CYBER THREAT INTELLIGENCE SYSTEMS AND APPLICATIONS

Academic Research and Reviews in Engineering Sciences, 2023

Utilization of Information Systems to Enhance the Efficiency of Internal Audit Activity Management and Audit Testing Processes

Current Debates on Natural and Engineering Sciences 11, 2023

Digital Transformation and Distance Education Systems of Universities in Türkiye During the Pandemic

Current Debates on Natural and Engineering Sciences 11, 2023

Design and Infrastructure of SCI Journal Search Engine

Researches on Science and Art in 21st Century Turkey Volume 2, 2017

Within it is getting more important to publish articles on the journals that are scanned by the s... more Within it is getting more important to publish articles on the journals that are scanned by the scientific indexes; also it is getting much more critical to make a decision on sending the applicant article to the suitable journal. But lacking of a practical tool on filtering the search on the journals makes it harder for the Turkish scientists. In this study, there is information about a search engine that can search the scientific journals by the SCI, SCI Expanded, SSCI and A&HCI indexes due to some special standards, so called the Scientific Indexed Journal Search Engine (BIDAM) and about its software architecture, data gathering and using processes. In the developed search engine, the information scanned through 12,000 indexed journals comes from different sources gathered together in a unique database and is supported with a flexible structure. According to this, at the end of the search, it was become possible and easy to approach the publisher’s information, the publication rate, citation amount, impact factor and several other important features of the resulted journals. Beside in this study, there were presented some important and significant statistics that were obtained in the journals building within the database.