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Morteza Safaei Pour
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2020 – today
- 2025
- [j10]Joseph Khoury, Christelle Nader, Morteza Safaei Pour, Elias Bou-Harb:
An Internet-Scale Data-Driven Approach for Exploring Cyber Threats Amid Global Conflicts. IEEE Internet Things Mag. 8(1): 66-72 (2025) - 2024
- [j9]Kaveh Abhari, Morteza Safaei Pour, Hossein Shirazi:
How to Design a Better Cybersecurity Readiness Program. MIS Q. Executive 23(4): 8 (2024) - [j8]Khaled Sarieddine
, Mohammad Ali Sayed
EV Charging Infrastructure Discovery to Contextualize Its Deployment Security. IEEE Trans. Netw. Serv. Manag. 21(1): 1287-1301 (2024) - [c15]Joseph Khoury, Christelle Nader, Morteza Safaei Pour, Elias Bou-Harb:
Exploring Internet-Scale Data-Driven Intelligence: Empirical Analysis of the Russo-Ukrainian Conflict. ICC Workshops 2024: 896-901 - [c14]Venkata Sai Sandeep Vennam
Evaluating Port Emissions Prediction Model Resilience Against Cyberthreats. ICCL 2024: 189-207 - 2023
- [j7]Morteza Safaei Pour
A Comprehensive Survey of Recent Internet Measurement Techniques for Cyber Security. Comput. Secur. 128: 103123 (2023) - [c13]Aldin Vehabovic, Hadi Zanddizari, Farook Shaikh, Nasir Ghani, Morteza Safaei Pour, Elias Bou-Harb, Jorge Crichigno:
Federated Learning Approach for Distributed Ransomware Analysis. ACNS Workshops 2023: 621-641 - [c12]Carlos D. Paternina-Arboleda, Alexander Nestler, Nicholas Kascak, Morteza Safaei Pour:
Cybersecurity Considerations for the Design of an AI-Driven Distributed Optimization of Container Carbon Emissions Reduction for Freight Operations. ICCL 2023: 56-84 - [c11]Aldin Vehabovic, Hadi Zanddizari, Nasir Ghani, Farooq Shaikh, Elias Bou-Harb, Morteza Safaei Pour
Data-Centric Machine Learning Approach for Early Ransomware Detection and Attribution. NOMS 2023: 1-6 - [c10]Veronica Rammouz, Joseph Khoury, Ðorde Klisura, Morteza Safaei Pour
Helium-based IoT Devices: Threat Analysis and Internet-scale Exploitations. WiMob 2023: 206-211 - [i3]Aldin Vehabovic, Hadi Zanddizari, Nasir Ghani, Farooq Shaikh, Elias Bou-Harb, Morteza Safaei Pour, Jorge Crichigno:
Data-Centric Machine Learning Approach for Early Ransomware Detection and Attribution. CoRR abs/2305.13287 (2023) - [i2]Aldin Vehabovic, Hadi Zanddizari, Farooq Shaikh, Nasir Ghani, Morteza Safaei Pour, Elias Bou-Harb, Jorge Crichigno:
Federated Learning Approach for Distributed Ransomware Analysis. CoRR abs/2306.14090 (2023) - [i1]Aldin Vehabovic, Hadi Zanddizari, Nasir Ghani, G. Javidi, A. Selcuk Uluagac, Mohamed Rahouti, Elias Bou-Harb, Morteza Safaei Pour:
Ransomware Detection Using Federated Learning with Imbalanced Datasets. CoRR abs/2311.07760 (2023) - 2022
- [c9]Joseph Khoury, Morteza Safaei Pour
A Near Real-Time Scheme for Collecting and Analyzing IoT Malware Artifacts at Scale. ARES 2022: 32:1-32:11 - [c8]Mohsen M. Jozani, Ali Balapour, Morteza Safaei Pour:
Crowdfunding Project Success for Game Developers: Evidence from Kickstarter and Steam. HICSS 2022: 1-10 - [c7]Gianluca Zanella, Mohsen M. Jozani, Morteza Safaei Pour:
Separating privacy and security in online decision-making process: The case of Venmo. HICSS 2022: 1-10 - [c6]Morteza Safaei Pour
HoneyComb: A Darknet-Centric Proactive Deception Technique For Curating IoT Malware Forensic Artifacts. NOMS 2022: 1-9 - 2021
- [c5]Morteza Safaei Pour
Sanitizing the IoT Cyber Security Posture: An Operational CTI Feed Backed up by Internet Measurements. DSN 2021: 497-506 - 2020
- [j6]Morteza Safaei Pour
On data-driven curation, learning, and analysis for inferring evolving internet-of-Things (IoT) botnets in the wild. Comput. Secur. 91: 101707 (2020) - [j5]Morteza Safaei Pour
Stochastic Modeling, Analysis and Investigation of IoT-Generated Internet Scanning Activities. IEEE Netw. Lett. 2(3): 159-163 (2020) - [j4]Antonio Mangino, Morteza Safaei Pour
Internet-scale Insecurity of Consumer Internet of Things: An Empirical Measurements Perspective. ACM Trans. Manag. Inf. Syst. 11(4): 21:1-21:24 (2020)
2010 – 2019
- 2019
- [j3]Morteza Safaei Pour
Theoretic derivations of scan detection operating on darknet traffic. Comput. Commun. 147: 111-121 (2019) - [j2]Morteza Safaei Pour
Comprehending the IoT cyber threat landscape: A data dimensionality reduction technique to infer and characterize Internet-scale IoT probing campaigns. Digit. Investig. 28 Supplement: S40-S49 (2019) - [c4]Morteza Safaei Pour
Data-driven Curation, Learning and Analysis for Inferring Evolving IoT Botnets in the Wild. ARES 2019: 6:1-6:10 - 2018
- [c3]Martin Husák
Assessing Internet-wide Cyber Situational Awareness of Critical Sectors. ARES 2018: 29:1-29:6 - [c2]Morteza Safaei Pour
Implications of Theoretic Derivations on Empirical Passive Measurements for Effective Cyber Threat Intelligence Generation. ICC 2018: 1-7 - 2017
- [j1]Morteza Safaei Pour
A new CPA resistant software implementation for symmetric ciphers with smoothed power consumption: SIMON case study. ISC Int. J. Inf. Secur. 9(2): 119-130 (2017) - 2016
- [c1]Morteza Safaei Pour, Mahmoud Salmasizadeh:
A new CPA resistant software implementation for symmetric ciphers with smoothed power consumption. ISCISC 2016: 38-45
Coauthor Index
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