VLDB 2026 Research / reviewers in the wild / expert
Zujany Salazar
dblp:299/5854
· DBLP profile ↗
4ranked-venue papers
2as first author
4since 2021 · last 2022
0000-0002-8655-0585ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 2 · 1 first-author · 2 since 2021Software engineering, systems software and programming languages · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | A Formal Approach for Complex Attacks Generation based on Mutation of 5G Network TrafficabstractInternational audience Zujany Salazar, Fatiha Zaïdi, Wissam Mallouli, Ana R. Cavalli, Huu Nghia Nguyen, Edgardo Montes de Oca |
ICSOFT | 1 |
| 2022 | Do You Believe Your (Social Media) Data? A Personal Story on Location Data Biases, Errors, and Plausibility as Well as Their Visualization
Tobias Isenberg 0001, Zujany Salazar, Rafael Blanco, Catherine Plaisant |
IEEE Trans. Vis. Comput. Graph. | 2 |
| 2021 | 5Greplay: a 5G Network Traffic Fuzzer - Application to Attack InjectionabstractThe fifth generation of mobile broadband is more than just an evolution to provide more mobile bandwidth, massive machine-type communications, and ultra-reliable and low-latency communications. It relies on a complex, dynamic and heterogeneous environment that implies addressing numerous testing and security challenges. In this paper we present 5Greplay, an open-source 5G network traffic fuzzer that enables the evaluation of 5G components by replaying and modifying 5G network traffic by creating and injecting network scenarios into a target that can be a 5G core service (e.g., AMF, SMF) or a RAN network (e.g., gNodeB). The tool provides the ability to alter network packets online or offline in both control and data planes in a very flexible manner. The experimental evaluation conducted against open-source based 5G platforms, showed that the target services accept traffic being altered by the tool, and that it can reach up to 9.56 Gbps using only 1 processor core to replay 5G traffic. Zujany Salazar, Huu Nghia Nguyen, Wissam Mallouli, Ana R. Cavalli, Edgardo Montes de Oca |
ARES | 1 |
| 2021 | SANCUS: Multi-layers Vulnerability Management Framework for Cloud-native 5G networksabstractAbstract: Security, Trust and Reliability are crucial issues in mobile 5G networks from both hardware and software perspectives. These issues are of significant importance when considering implementations over distributed environments, i.e., corporate Cloud environment over massively virtualized infrastructures as envisioned in the 5G service provision paradigm. The SANCUS1 solution intends providing a modular framework integrating different engines in order to enable next‐generation 5G system networks to perform automated and intelligent analysis of their firmware images at massive scale, as well as the validation of applications and services. SANCUS also proposes a proactive risk assessment of network applications and services by means of maximising the overall system resilience in terms of security, privacy and reliability. This paper presents an overview of the SANCUS architecture in its current release as well as the pilots use cases that will be demonstrated at the end of the project and used for validating the concepts. Charilaos C. Zarakovitis, Dimitrios Klonidis, Zujany Salazar, Anna Prudnikova, Arash Bozorgchenani, Qiang Ni, Charalambos Klitis, George Guirgis, Ana R. Cavalli, Nicholas Sgouros, Eftychia Makri, Antonios Lalas, Konstantinos Votis, George Amponis, Wissam Mallouli |
ARES | 3 |