Vesselin Petkov

Introduction

Short CV

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Full profile

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Publications

Beach, Scott R.. "The Role of Technology in Elder Abuse Research." In Elder Abuse, 201-214., 2017.

Lia, Xingan, Henry Joutsijoki, Jorma Laurikkala, and Martti Juhola. "GDP Growth vs. Criminal Phenomena: Data Mining of Japan 1926-2013." AI & SOCIETY 33, no. 2 (2018): 261-274.

Kavitha, M., and M. Suriakala. "Hybrid Multi-Level Credit Card Fraud Detection System by Bagging Multiple Boosted Trees (BMBT)." In IEEE International Conference on Computational Intelligence and Computing Research (ICCIC). Coimbatore, India , 2017.

Manjula, D., and J. Thilagavathi. "A Study on False Positive Reduction in Unbalanced Datasets through SVM Using Cost Based Learning." International Journal of Trend in Research and Development 2, no. 6 (2015).

Kumari, Priyanka, and Smita Prava Mishra. "Analysis of Credit Card Fraud Detection Using Fusion Classifiers." In Computational Intelligence in Data Mining, 111-122., 2018.

Nami, Sanaz, and Mehdi Shajari. "Cost-sensitive payment card fraud detection based on dynamic random forest and k-nearest neighbors." Expert Systems with Applications 110 (2018): 381-392.

Gayathri, C, and R Umarani. "Forecasting Of Automatic Relevance Determination For Feature Selection (FARD-FS) In Financial Fraud Detection." International Journal of Applied Engineering Research (2016).

Yailymova, Hanna, Hongji Yang, and Volodymyr Zaslavskyi. "Models and Methods in Creative Computing: Diversity and Type-Variety Principle in Development of Innovation Solutions." In 14th International Symposium on Pervasive Systems, Algorithms and Networks & 2017 11th International Conference on Frontier of Computer Science and Technology & 2017 Third International Symposium of Creative Computing (ISPAN-FCST-ISCC). Exeter, UK , 2017.

Bouazza, Imane, El Bachir Ameur, and Farid Ameur. Datamining for Fraud Detecting, State of the Art In Advanced Intelligent Systems for Sustainable Development (AI2SD’2018). Vol. 915., 2018.

Zareapoor, Masoumeh, Pourya Shamsolmoali, and Afshar M. Alam. "Data Mining for Secure Online Payment Transaction Data Mining for Secure Online Payment Transaction." In Digital Currency: Breakthroughs in Research and Practice. IGI Global, 2019.

Zaslavsky, Vladimir. System principles, mathematical models and methods to ensure high reliability of safety systems In Proc. SPIE 10418, XI Conference on Reconnaissance and Electronic Warfare Systems., 2017.

Ismaila, W.O., Boniface Kayode Alese, Olajide Olusegun Adeosun, and OT Arulogun. Performance Evaluation of Unsupervised Neural Network in Fraud Detection., 2012.

Ryman-Tubb, Nick F.. "Neural-Symbolic Processing in Business Applications: Credit Card Fraud Detection." In Computational Neuroscience for Advancing Artificial Intelligence: Models, Methods and Applications. IGI Global, 2011.

Lee, Chae Chang, and Ji Won Yoon. "A novel statistical approach to detect card frauds using transaction patterns." IEICE Transactions on Information and Systems E98D, no. 3 (2015): 649-660.

Talavera, Alvaro, Luis Cano, David Paredes, and Mario Chong. "Data Mining Algorithms for Risk Detection in Bank Loans." In Information Management and Big Data, 151-159., 2018.

K Young, Eun, Woong K Choi, and Taejin Lee K Go. "A Study on Financial Fraud Detection Method Using Machine Learning in Mobile Small-Amount Payment Service." International Journal of Innovative Research in Technology & Science(IJIRTS) (1910).

Tukiman, Norbaiti, Norhaiza Ahmad, Suhana Mohamed, Zarith Sofiah Othman, CT Munirah Ni Shafee, and Zairi Ismael Rizman. "Credit Card Detection System Based on Ridit Approach." International Journal on Advanced Science, Engineering and Information Technology 7, no. 6 (2017): 2071-2077.

Prakash, A.. "Analysis of the Modern Techniques and Methods on Credit Card Fraud Detection." International Journal for Research in Science Engineering and Technology 4, no. 6 (2017).

Delamaire, Linda, Hussein Abdou, and John Pointon. "Credit card fraud and detection techniques: A review." Banks and Bank Systems 4, no. 2 (2009): 57 .

Joshi, Vanita, and Alok Bansal. "Applicability of Artificial Neural Networks in Business." In Information Technology Issues & Challenges. India: Excel Books, 2009.

F.Ryman-Tubb, Nick, Paul Krause, and Wolfgang Garn. "How Artificial Intelligence and machine learning research impacts payment card fraud detection: A survey and industry benchmark." Engineering Applications of Artificial Intelligence 76 (2018): 130-157.

Manjula, D., and J. Thilagavathi. "A Novel Approach for Behavior based Charge Card Fraud Detection using Support Vector Machines." IJSRD - International Journal for Scientific Research & Development| 3, no. 6 (2015).

Bach, Mirjana Pejić, Nikola Vlahović, and Jasmina Pivar. "Self-organizing maps for fraud profiling in leasing." In 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO). Opatija, Croatia , 2018.

Grzywa, Michal, and Alior Bank S.A.. Zastosowanie Sztucznych Sieci Neuronowych w Detekcji Kartowych Transakcji Oszukańczych., 2011.

Ciccone, Anne, Garcia Bodley, Tonya Hansel, Maureen McDonough, Lauren McShan, Howard Osofsky, Joy Osofsky, Erin Reuther, Lisa Schuster, Anthony Speier et al. Disaster Psychosocial Assessment and Surveillance Toolkit (Disaster-PAST): Methods to Enhance Disaster Preparedness, Response and Recovery. Louisiana State University Health Sciences Center Department of Psychiatry, 2014.

Useful links

Biomedical Data Journal

http://www.biomed-data.eu

INTEGRITY IN DEFENCE & SECURITY

https://defenceintegrity.eu

Evocs project

http://evocs-project.eu

Association of the Officers in the Reserve “Atlantic”

http://www.atlantic-bg.org

Centre for National Security and Defence Research

http://cnsdr.bas.bg

AFCEA International

http://www.afcea.org

AFCEA Sofia

http://www.afcea-bg.org

AFCEA Varna

http://www.afcea.bg

George C. Marshall Association - Bulgaria

http://www.gcmarshall.bg/

Institute of Information and Communication Technologies

http://iict.bas.bg

Bulgarian Academy of Sciences

http://www.bas.bg

“G.S. Rakovski” Defence Academy

http://rnda.armf.bg

PfP Consortium

http://www.pfp-consortium.org/

Data Journals

http://datajournals.eu/

Connections: The Quarterly Journal

http://connections-qj.org

Security and Defence Management

http://defencemanagement.org

IT for Security Department

http://it4sec.org

DCAF

http://www.dcaf.ch/

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Vesselin Petkov

Introduction

Pages

Information & Security journal

Previews

On Inequalities Bounding Imprecision and Nonspecificity Measures of Uncertainty

On the Effectiveness of Measures of Uncertainty of Basic Belief Assignments

Blockchain in Agriculture

Multi-UAV Mission Planning for Monitoring Critical Infrastructures Considering Failures and Cyberattacks

A Hybrid Intrusion Detection with Decision Tree for Feature Selection

European Conflict Analysis Project (ECAP)

Generalized Net Model of the Water Resources Assessment Process and Water Use Management

News

Nanotechnology and Global Security

Nanotechnology and Global Security

How Improved Attribution in Cyber Warfare Can Help De-Escalate Cyber Arms Race

Hybrid War: High-tech, Information and Cyber Conflicts

The Age of Post-Truth: State Influence and Strategic Communication - Contemporary Security Challenges on Europe’s Eastern Flank:

How Improved Attribution in Cyber Warfare Can Help De-Escalate Cyber Arms Race

Social Media accounts

The Winter 2020 issue of Connections

The Summer-Fall 2018 issue of Connections

The Winter 2018 issue of Connections

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Vesselin Petkov

Introduction

Pages

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Information & Security journal

Previews

News

Popular content

Useful links

Partner sites