Reza Fotohi (0000-0002-1848-0220)

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Reza Fotohi is a researcher specializing in AI security and privacy with an extensive academic and research background. He earned his Ph.D. in Computer Software Engineering from Shahid Beheshti University (SBU), Tehran, ranking 17th in the national Ph.D. entrance exam (2019) and graduating as a top student with a GPA of 19/20. He has published extensively in high‑impact journals on cybersecurity and privacy, with over 1,813 citations, an h‑index of 28, and an i10‑index of 35. Dr. Reza Fotohi has been recognized among the World’s Top 2% of Scientists by Stanford University (2021, 2022, 2023, and 2024). He has served as a reviewer for leading journals, including IEEE Communications Surveys and Tutorials, IEEE Internet of Things Journal, IEEE Transactions on Artificial Intelligence, IEEE Transactions on Reliability, ACM Transactions on Privacy and Security, Applied Soft Computing, Artificial Intelligence Review, and Computers & Security. His research focuses on developing secure and lightweight AI‑driven models, particularly in privacy‑preserving federated learning (PPFL) models for intelligent enterprises.

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Shahid Beheshti University: Tehran, Tehran, IR

2019-09-23 to 2025-01-07 | Ph.D. (Faculty of Computer Science and Engineering)

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Reza Fotohi

https://orcid.org/0000-0002-1848-0220

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Education and qualifications (1)

Shahid Beheshti University: Tehran, Tehran, IR

Professional activities (14)

Stanford University: Stanford, US

University of Applied Science and Technology: Ardabil, Ardabil, IR

Stanford University: Stanford, US

National Elite Foundation: Tehran, Tehran, IR

Stanford University: Stanford, US

National Elite Foundation: Tehran, Tehran, IR

5th National Conference on Advances in Enterprise Architecture (NCAEA): Mashhad, Tehran, IR

Stanford University: Stanford, US

National Elite Foundation: Tehran, Tehran, IR

National Organization of Educational Testing: Tehran, Tehran, IR

Islamic Azad University Shabestar: Shabestar, IR

Islamic Azad University Shabestar: Shabestar, IR

Islamic Azad University Shabestar: Shabestar, IR

University of Applied Science and Technology: Shabestar, East Azerbaijan, IR

Works (44)

A Lightweight and Secure Deep Learning Model for Privacy-Preserving Federated Learning in Intelligent Enterprises

Decentralized and robust privacy-preserving model using blockchain-enabled Federated Deep Learning in intelligent enterprises

Hardening of the Internet of Things by using an intrusion detection system based on deep learning

A reliable and secure method for network-layer attack discovery and elimination in mobile ad-hoc networks based on a probabilistic threshold

A Request Redirection Algorithm in Content Delivery Network: Using PROMETHEE Approach

A Self-Adaptive Intrusion Detection System for Securing UAV-to-UAV Communications Based on the Human Immune System in UAV Networks

An Approach to Environmental Monitoring in Sparse Linear Wireless Sensor Networks for Energy Conservation Using Dual Sinks

Federated Learning: Solutions, Challenges, and Promises

A firefly algorithm for power management in wireless sensor networks (WSNs)

Big Data-Aware Intrusion Detection System in Communication Networks: a Deep Learning Approach

Congestion Control in High-speed Networks Using the Probabilistic Estimation Approach

Performance-aware placement and chaining scheme for virtualized network functions: a particle swarm optimization approach

Securing communication between things using blockchain technology based on authentication and SHA-256 to improving scalability in large-scale IoT

A Crisis-driven e-Learning Capability Maturity Model in the Age of COVID-19 : Process-based Maturity Assessment

A Lightweight and Scalable Physical Layer Attack Detection Mechanism for the Internet of Things (IoT) Using Hybrid Security Schema

Defense against flooding attacks using probabilistic thresholds in the internet of things ecosystem

File fragment recognition based on content and statistical features

Congestion control in high‐speed networks using the probabilistic estimation approach

A method based on encryption and node rating for securing the RPL protocol communications in the IoT ecosystem

Online rating system development using blockchain-based distributed ledger technology

Securing Wireless Sensor Networks Against Denial-of-Sleep Attacks Using RSA Cryptography Algorithm and Interlock Protocol

An agent-based self-protective method to secure communication between UAVs in unmanned aerial vehicle networks

Secure communication between UAVs using a method based on smart agents in unmanned aerial vehicles

SoS-RPL: Securing Internet of Things Against Sinkhole Attack Using RPL Protocol-Based Node Rating and Ranking Mechanism

Securing Wireless Sensor Networks Against Denial‐of‐Sleep Attacks Using RSA Cryptography Algorithm and Interlock Protocol

Securing of Unmanned Aerial Systems (UAS) against security threats using human immune system

Multi-level trust-based intelligence schema for securing of internet of things (IoT) against security threats using cryptographic authentication

NIASHPT: a novel intelligent agent-based strategy using hello packet table (HPT) function for trust Internet of Things

A novel countermeasure technique to protect WSN against denial-of-sleep attacks using firefly and Hopfield neural network (HNN) algorithms

An Artificial Immune Based Approach for Detection and Isolation Misbehavior Attacks in Wireless Networks

An Artificial Immune System based Method for Defense against Wormhole Attack in Mobile Adhoc Networks

An Efficient Routing Protocol in Mobile Ad-hoc Networks by using Artificial Immune System

DAWA: Defending against wormhole attack in MANETs by using fuzzy logic and artificial immune system

A Hybrid Routing Method for Mobile ad-hoc Networks

A New Approach for Improvement Security against DoS Attacks in Vehicular Ad-hoc Network

P-method: improving AODV routing protocol for against network layer attacks in mobile Ad-Hoc networks

Defending against Wormhole Attack in MANET Using an Artificial Immune System

Defense against the attacks of the black hole, gray hole and wormhole in MANETs based on RTT and PFT

A comprehensive study on defence against wormhole attack methods in mobile Ad hoc networks

Queue based job scheduling algorithm for cloud computing

A Cluster Based Job Scheduling Algorithm for Grid Computing

Performance Evaluation of AODV, LHC-AODV, OLSR, UL-OLSR, DSDV Routing Protocols

An Improvement over AODV Routing Protocol by Limiting Visited Hop Count

Improvement over the OLSR Routing Protocol in Mobile Ad Hoc Networks by Eliminating the Unnecessary Loops

Peer review (508 reviews for 113 publications/grants)