Yangfan Liang - RankMe

17 papers Journal 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	EFGDAS-MU: Efficient and fine-grained data aggregation scheme for multi-user in cloud-assisted IoT. Inf. Fusion Yiming Chen, Yangfan Liang, Chunming Tang, Yining Liu
2026	J	`jnl`	Fully Anonymous Broadcast Signcryption for Secure Health Data Transmission in WBANs. IEEE Trans. Mob. Comput. Yangfan Liang, Gao Liu, Xianchao Zhang, Yiming Chen, Jingxue Chen, Yuanjun Xia, Yi-Ning Liu
2026	J	`jnl`	Lightweight Multifactor Authentication and Key Agreement Scheme in Vehicle-to-Grid Networks. IEEE Trans. Veh. Technol. Yangfan Liang, Hong Sun, Xianchao Zhang, Qi Xie, Gao Liu, Zhiquan Liu, Zhiyuan Tan, Yining Liu
2026	J	`jnl`	Privacy-preserving multi-agent bitrate allocation for 360° video streaming. Comput. Networks Shijia Liu, Yong Wang, Yangfan Liang, Yuming Liu, Junqi Chen, Qian He
2025	J	`jnl`	A dual-branch self-supervised contrastive learning framework for emotion recognition based on time-frequency fusion. Appl. Soft Comput. Jie Ouyang, Yangfan Liang, Hong Sun, Xianchao Zhang, Jingxue Chen, Gao Liu, Zhiquan Liu, Yi-Ning Liu
2025	J	`jnl`	In-network aggregation enabled multiple sub-blocks parallel repair in erasure-coded storage system. Comput. Networks Lei Liu, Yong Wang, Yangfan Liang, Junqi Chen, Qian He
2025	J	`jnl`	PSRAKA: Physically Secure and Robust Authenticated Key Agreement for VANETs. IEEE Trans. Veh. Technol. Gao Liu, Hao Li, Yangfan Liang, Junqing Le, Ning Wang, Nankun Mu, Zhiquan Liu, Yi-Ning Liu, Tao Xiang
2025	J	`jnl`	SECP-AKE: Secure and efficient certificateless-password-based authenticated key exchange protocol for smart healthcare systems. J. Syst. Archit. Zhiqiang Zhao, Xuexian Hu, Yining Liu, Jianghong Wei, Yuanjun Xia, Yangfan Liang
2025	J	`jnl`	TEVA: Training-Efficient and Verifiable Aggregation for Federated Learning for Consumer Electronics in Industry 5.0. IEEE Trans. Consumer Electron. Yuanjun Xia, Yi-Ning Liu, Jingxue Chen, Yangfan Liang, Fazlullah Khan, Ryan Alturki, Xiaopei Wang
2024	J	`jnl`	Physically Secure and Privacy-Preserving Charging Authentication Framework With Data Aggregation in Vehicle-to-Grid Networks. IEEE Trans. Intell. Transp. Syst. Yangfan Liang, Yi-Ning Liu, Xianchao Zhang, Gao Liu
2024	J	`jnl`	Secure pairing-free certificateless aggregate signcryption scheme for IoT. J. Syst. Archit. Dongmei Chen, Fei Zhou, Yi-Ning Liu, Lihui Li, Yangfan Liang
2024	J	`jnl`	Sound and Fury, Signifying Nothing? Impact of Data Breach Disclosure Laws. CoRR Muhammad Zia Hydari, Yangfan Liang, Rahul Telang
2023	J	`jnl`	Analysis and Improvement of an Efficient Certificateless Aggregate Signature With Conditional Privacy Preservation in VANETs. IEEE Syst. J. Yangfan Liang, Yining Liu
2023	J	`jnl`	Physically Secure and Conditional-Privacy Authenticated Key Agreement for VANETs. IEEE Trans. Veh. Technol. Yangfan Liang, Entao Luo, Yi-Ning Liu
2023	J	`jnl`	Unlinkable Signcryption Scheme for Multi-Receiver in VANETs. IEEE Trans. Intell. Transp. Syst. Yangfan Liang, Hongyang Yan, Yi-Ning Liu
2022	J	`jnl`	PPRP: Preserving-Privacy Route Planning Scheme in VANETs. ACM Trans. Internet Techn. Yangfan Liang, Yining Liu, Brij B. Gupta
2021	J	`jnl`	Model Mis-specification and Algorithmic Bias. CoRR Runshan Fu, Yangfan Liang, Peter Zhang

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.