FIU SFS Research

Publications:

2023

• Richard Hernandez, Oscar Bautista, Hossein Manshaei, Hadi Sahin and Kemal Akkaya, “Outsourcing Privacy-Preserving Federated Learning on Malicious Networks through MPC”, IEEE Conference on Local Computer Networks (LCN) 2023 – Short Paper
• Oscar G. Bautista, Kemal Akkaya, and Soamar Homsi, “ReplayMPC: A Fast Failure Recovery Protocol for Secure Multiparty Computation Applications using Blockchain,” IEEE International Conference on Smart Computing (Smartcomp), 2023.
• Oscar G. Bautista, Mohammad H. Manshaei, Richard Hernandez, Kemal Akkaya, Soamar Homsi, and Selcuk Uluagac, “MPC-ABC: Blockchain-Based Network Communication for Efficiently Secure Multiparty Computation,” in Journal of Network and Systems Management, Vol. 31, 2023.
• Oscar G. Bautista and Kemal Akkaya, “MPC-as-a-Service: A Customizable Management Protocol for Running Multi-party Computation on IoT Devices,” NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium, pp. 1-6.

2022

• Oscar G. Bautista and Kemal Akkaya, “Network-Efficient Pipelining-Based Secure Multiparty Computation for Machine Learning Applications,” 2022 IEEE 47th Conference on Local Computer Networks (LCN), 2022, pp. 205-213.
• Luis Puche Rondon, Leonardo Babun, Ahmet Aris, K. Akkaya, Selcuk Uluagac, “Ivycide: Smart Intrusion Detection System against E-IoT Driver Threats,” IEEE Internet of Things Journal, 2022 [pdf] [bibtex]
• Alvi Ataur Khalil, Javier Franco, Imtiaz Parvez, A. Selcuk Uluagac, Shahriar Hossain and Mohammad Rahman, “A Literature Review on Blockchain-enabled Security and Operation of Cyber-Physical Systems,” in IEEE Signature Conference on Computers, Software, and Applications (COMPSAC), STPSA 2022: Security, Trust, and Privacy for Software Applications Workshop, 2022 [pdf], [bibtex].

2021

• Kurt A, Erdin E, Akkaya K, Uluagac AS, Cebe M. D-LNBot: A Scalable, Cost-Free and Covert Hybrid Botnet on Bitcoin’s Lightning Network. arXiv preprint arXiv:2112.07623. 2021 Dec 14.
• Oscar Bautista, Kemal Akkaya, and Soamar Homsi, “Outsourcing Secure MPC to Untrusted Cloud Environments with Correctness Verification,” 2021 IEEE 46th Conference on Local Computer Networks (LCN), 2021, pp. 178-184.
• E. Erdin, S. Mercan and K. Akkaya, “An Evaluation of Cryptocurrency Payment Channel Networks and Their Privacy Implications”, in ITU Journal on Future and Evolving Technologies, Vol. 2, No. 1, 2021.
• E. Erdin, M. Cebe, K. Akkaya, E. Bulut, and S. Uluagac, “A Scalable Private Bitcoin Payment Channel Network with Privacy Guarantees,” in Elsevier Journal of Network and Computer Applications, Vol. 180, 2021.
• S. Mercan, E. Erdin, and K. Akkaya, “Improving transaction success rate in cryptocurrency payment channel networks”, Elsevier Computer Communications, 166:196 – 207, 2021.
• E. Erdin, M. Cebe, K. Akkaya, S. Solak, E. Bulut and S. Uluagac, “A Bitcoin Payment Network with Reduced Transaction Fees and Confirmation Times”, Elsevier Computer Networks, Vol. 172, pp. 107098, 2020.
• Leonardo Babun, Kyle Denney, Z. Berkay Celik, H. Aksu, Patrick McDaniel, A. Selcuk Uluagac, “A Survey of Security in IoT Programming Platforms,” in Elsevier Computer Networks, 2021. [pdf] [bibtex]
• “Systems and methods for inhibiting threats to a computing environment”, by Kyle Denney, Selcuk Uluagac, Enes Erdin, Leanorda Babun, and Kemal Akkaya, Sept. 28, 2021, US 11,132,441 B2 (Patent)
• Leonardo Babun, Kyle Denney, Z. Berkay Celik, Patrick McDaniel, A. Selcuk Uluagac, “A survey on IoT platforms: Communication, security, and privacy perspectives” Computer Networks, Volume 192, 2021 [pdf] [bibtex]
• Javier Franco, Ahmet Aris, Berk Canberk, and A. Selcuk Uluagac, ” Survey of Honeypots and Honeynets for Internet of Things, Industrial Internet of Things, and Cyber-Physical Systems,” in IEEE Communications Surveys & Tutorials Journal, 2021 [pdf] [bibtex]

2020

• S. Mercan, E. Erdin and K. Akkaya, “Improving Load Balancing Via Smart Gateway Selection in Cryptopayment Networks”, in the Proceedings of IEEE International Conference on Blockchain and Cryptocurrencies (ICBC’20), Sept. 2020.
• Oscar Bautista, K. Akkaya, A. Selcuk Uluagac, “Customized novel routing metrics for wireless mesh-based swarm-of-drones applications, ” in Elsevier Internet of Things Journal, Volume 11, 2020, 100265, ISSN 2542-6605, [pdf] [bibtex]
• Oscar G. Bautista and Kemal Akkaya, “Extending IEEE 802.11s Mesh Routing for 3-D Mobile Drone Applications in ns-3,” in Proceedings of the 2020 Workshop on ns-3 (WNS3 ‘20), 2020, pp. 25-32.

2019

• Kyle Denney, E. Erdin, Leonardo Babun, Michael Vai, A. Selcuk Uluagac, “USB-Watch: A Dynamic Hardware-Assisted USB Threat Detection Framework,” In Proc. of EAI International Conference on Security and Privacy in Communication Networks (SecureComm), Orlando, FL, October 2019 [pdf], [bibtex].
• Peer-reviewed Poster: Kyle Denney, Enes Erdin, Leonardo Babun, and Selcuk Uluagac, “POSTER: Dynamically Detecting USB Attacks in Hardware,” Poster at the 12th ACM Conference on Security and Privacy in Wireless and Mobile Networks (ACM WiSec), Miami, May 16, 2019
• Peer-reviewed Poster: Luis Puche Rondon, Leonardo Babun, Kemal Akkaya, and Selcuk Uluagac, “POSTER: Attacking HDMI Distribution Networks,” Poster at the 12th ACM Conference on Security and Privacy in Wireless and Mobile Networks (ACM WiSec), Miami, May 16, 2019
• Peer-reviewed Poster: Kyle Denney, Enes Erdin, Leonardo Babun, and Selcuk Uluagac, “POSTER: Dynamically Detecting USB Attacks in Hardware,” Poster at the 12th ACM Conference on Security and Privacy in Wireless and Mobile Networks (ACM WiSec), Miami, May 16, 2019
• Peer-reviewed Poster: Luis Puche Rondon, Leonardo Babun, Kemal Akkaya, and Selcuk Uluagac, “POSTER: Attacking HDMI Distribution Networks,” Poster at the 12th ACM Conference on Security and Privacy in Wireless and Mobile Networks (ACM WiSec), Miami, May 16, 2019
• Peer-reviewed Poster: Kyle Denney, Enes Erdin, Leonardo Babun, and Selcuk Uluagac, “Hardware-Assisted Insider Threat Detection Framework,” Poster at the Annual Research Conference at the University of Florida’s Florida Institute of Cybersecurity Research, Gainesville, FL, March 9, 2019.

2018

• Mumin Cebe, Enes Erdin, Kemal Akkaya, Hidayet Aksu and A.Selcuk Uluagac,”Building a Private Bitcoin-based Payment Network among Electric Vehicles and Charging Stations,” Poster at the Annual Research Conference at the University of Florida’s Florida Institute of Cybersecurity Research, Gainesville, FL, March 1, 2018 (Best Poster Award)
• Leonardo Babun, Z. Berkay Celik, Amit K. Sikder, Hidayet Aksu, Gang Tan, Patrick McDaniel, and A. Selcuk Uluagac, “SaINT: Sensitive Information Tracking for IoT Apps,” Demo at the Annual Research Conference at the University of Florida’s Florida Institute of Cybersecurity Research, Gainesville, FL, March 1, 2018 (Best Demo Award)

2017

• Leonardo Babun, Hidayet Aksu, and A. Selcuk Uluagac, “A Framework for Counterfeit Smart Grid Device Detection,” Demo at the Annual Research Conference at the University of Florida’s Florida Institute of Cybersecurity Research, Gainesville, FL, March 8, 2017 (Best Demo Award)
• Leonardo Babun, Hidayet Aksu, and A. Selcuk Uluagac, “A Framework for Counterfeit Smart Grid Device Detection,” Poster and Demo at the Annual Department of Energy’s SEEDS Center Research Meeting, Miami, FL, 19 January 2017 (Best Poster and Demo Award)

2016

• Leonardo Babun, Hidayet Aksu, and A. Selcuk Uluagac, “A Framework for Counterfeit Smart Grid Device Detection,” Poster and Demo at the Annual Department of Energy’s SEEDS Center Research Meeting, Miami, FL, 19 January 2017 (Best Poster and Demo Award)
  2016

2015

• Kyle Denney, A. Selcuk Uluagac, Kemal Akkaya, and Nico Saputro, “A Novel Storage Covert Channel on Wearable Devices Using Status Bar Notifications”, Demo at the IEEE International Conference on Local Computer Networks (LCN), Clearwater Beach, FL, October 2015

 

Patents:

Total patents: 10   Awarded: 4   Pending: 6

2021

• Luis Puche, Leonardo Babun, K. Akkaya, A. Selcuk Uluagac, “Systems and methods for monitoring activity in an HDMI network.” US Patent #: 10,929,530, February 28, 2021 (Filed 07-27-2020, as Appl. No. US 16/939,397).
• Kyle Denney, E. Erdin, Leonardo Babun, A. Selcuk Uluagac, K. Akkaya, “Systems and Methods for Inhibiting Threats to a Computing Environment.” US Patent #: US20200356665A1, September 28, 2021
• Patent: “Systems and methods for inhibiting threats to a computing environment”, by Kyle Denney, Selcuk Uluagac, Enes Erdin, Leanorda Babun and Kemal Akkaya, Sept. 28, 2021, US 11,132,441 B2

2020

• AKM Iqtidar Newaz, Amit Kumar Sikder, Leonardo Babun, A. Selcuk Uluagac, “A Passive Intrusion Detection Technique for Personal Medical Devices using N-gram analysis and Machine Learning Techniques.” Submitted to Florida International University, July 2020.
• Faraz Naseem, Ahmet Aris, Leonardo Babun, A. Selcuk Uluagac, “A Method for Detecting Wasm-based Cryptojacking Malware Using Binary Image Representation.” Submitted to Florida International University, August 2020.

2019

• Leonardo Babun, H. Aksu, and A. Selcuk Uluagac, “A Method of Resource-Limited Device and Device Class Identification using System and Function Call Tracing Techniques, Performance, and Statistical Analysis.” US Patent #: 10,242,193, March 26, 2019 (Filed Jan. 4, 2018, as Appl. No. US 15/862,044).

2018

• Leonardo Babun, H. Aksu, and A. Selcuk Uluagac, “Detection of Counterfeit and Compromised Devices using System and Function Call Tracing Techniques.” US Patent #: 10,027,697, July 17, 2018 (Filed April 28, 2017, as Appl. No. US 15/581,453)
• Leonardo Babun, Amit Kumar Sikder, A. Acar, and A. Selcuk Uluagac, “A Method for Automatic Evaluation and Modification of Smart Applications to Enable Comprehensive Forensic Analysis for Smart Settings.” Submitted to Florida International University, September 2018
• Amit Kumar Sikder, Leonardo Babun, A. Acar, H. Aksu, and A. Selcuk Uluagac, “A multi-user multi-device access control system with policy management for an IoT-enabled smart environment.” Submitted to Florida International University, September 2018
• Cengiz Kaygusuz, Leonardo Babun, H. Aksu, and A. Selcuk Uluagac, “A Method for the Detection of Compromised Computing Devices with Machine Learning and Convolution Techniques.” Submitted to Florida International University, October 2018