Zeinab Rezaeifar

17 papers Journal 14Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep Learning for Collective Anomaly Detection. ACM Comput. Surv. Dalila Khettaf, Djamel Djenouri, Zeinab Rezaeifar, Youcef Djenouri
2026	J	`jnl`	LOTL-hunter: Detecting multi-stage living-off-the-land attacks in cyber-physical systems using decision fusion techniques with digital twins. Future Gener. Comput. Syst. Carol Lo, Thu Yein Win, Zeinab Rezaeifar, Zaheer Khan, Phil Legg
2026	J	`jnl`	Location-based early detection and prevention of DDoS attacks in mMTC networks. Ad Hoc Networks Zeinab Rezaeifar, Zahra Alavikia, Changhee Hahn
2026	J	`jnl`	Quantifying cyber threat using Bayesian statistical analysis. Int. J. Inf. Sec. Sajeev Thevaratnam, Zeinab Rezaeifar
2025	J	`jnl`	Alert correlation for intelligent threat detection and response. Intell. Syst. Appl. Bronagh Lanigan, Zeinab Rezaeifar, Federico Cruciani, Michael Milliken, Jordan Vincent, Samuel J. Moore, Muhammad Aaqib, Alan Mills, Pushpinder Kaur Chouhan, Alfie Beard, Chris D. Nugent, Luke Chen, Alex Healing
2025	—	`conf`	Hybrid Graph Embeddings and Louvain Algorithm for Unsupervised Community Detection. ICMLT Dalila Khettaf, Djamel Djenouri, Zeinab Rezaeifar, Youcef Djenouri
2025	J	`jnl`	Hybrid Graph Embeddings and Louvain Algorithm for Unsupervised Community Detection. CoRR Dalila Khettaf, Djamel Djenouri, Zeinab Rezaeifar, Youcef Djenouri
2024	—	`conf`	Digital Twins of Cyber Physical Systems in Smart Manufacturing for Threat Simulation and Detection with Deep Learning for Time Series Classification. ICAC Carol Lo, Thu Yein Win, Zeinab Rezaeifar, Zaheer Khan, Phil Legg
2024	J	`jnl`	Securing multi-client range queries over encrypted data. Clust. Comput. Jaehwan Park, Zeinab Rezaeifar, Changhee Hahn
2019	J	`jnl`	A reliable adaptive forwarding approach in named data networking. Future Gener. Comput. Syst. Zeinab Rezaeifar, Jian Wang, Heekuck Oh, Suk-Bok Lee, Junbeom Hur
2018	J	`jnl`	A trust-based method for mitigating cache poisoning in Name Data Networking. J. Netw. Comput. Appl. Zeinab Rezaeifar, Jian Wang, Heekuck Oh
2017	J	`jnl`	A New Privacy Aware Payment Scheme for Wireless Charging of Electric Vehicles. Wirel. Pers. Commun. Zeinab Rezaeifar, Rasheed Hussain, Sangjin Kim, Heekuck Oh
2017	J	`jnl`	PB-MII: replacing static RSUs with public buses-based mobile intermediary infrastructure in urban VANET-based clouds. Clust. Comput. Rasheed Hussain, Zeinab Rezaeifar, Junggab Son, Md. Zakirul Alam Bhuiyan, Sangjin Kim, Heekuck Oh
2015	J	`jnl`	A Paradigm Shift from Vehicular Ad Hoc Networks to VANET-Based Clouds. Wirel. Pers. Commun. Rasheed Hussain, Zeinab Rezaeifar, Heekuck Oh
2015	J	`jnl`	A Reliable Geocast Routing Protocol for Vehicular Ad Hoc Networks. Wirel. Pers. Commun. Zeinab Rezaeifar, Faramarz Hendessi, Behrouz Shahgholi Ghahfarokhi, T. Aaron Gulliver
2015	J	`jnl`	Secure and privacy-aware traffic information as a service in VANET-based clouds. Pervasive Mob. Comput. Rasheed Hussain, Zeinab Rezaeifar, Yong-Hwan Lee, Heekuck Oh
2014	—	`conf`	On Secure, Privacy-Aware, and Efficient Beacon Broadcasting among One-Hop Neighbors in VANETs. MILCOM Rasheed Hussain, Zeinab Rezaeifar, Donghyun Kim, Alade O. Tokuta, Heekuck Oh

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.