CAVTIONS
Advanced Persistent Threats, mechanisms analysis and sociopolitical ties
Researchers
- González-Manzano, Lorena (PI)
- Quispe, Florabel (PI)
- de Fuentes, José María
- Fernández, Carlos Ramón
- Manero, Ana
- Sánchez, Ángel
- Tapiador, Juan
Abstract
In recent times, attacks directed at or executed from computer systems (cyber attacks) have increased both in complexity and frequency. Not surprisingly, the cyberspace is already considered as the ‘fifth domain of warfare’. State-sponsored attacks (SSAs) is a specific type of attack in which a State attempts to inflict one harm to another. The currently existing knowledge of these threats is limited, mainly because of two reasons. On the one hand, this threat is considered to be highly sophisticated, although its technical characteristics have not been defined. On the other hand, the socio-political issues surrounding the cyberthreat, especially with regard to international relations between attacker and victim. The objective of this project is to contribute to alleviate the two previous deficiencies in a specific type of ASE, called an Advanced Persistent Threat (APT). Thus, it will study dually the technical capacities of APTs and international relations between States linked to them, in order to produce an analytical model that associates socio-political issues with the APTs that have been discovered so far.
Publications
Giménez-Aguilar, Mar; de Fuentes, José María; González-Manzano, Lorena. Malicious uses of blockchains by malware: from the analysis to Smart-Zephyrus. International Journal of Information Security. Springer.
González-Manzano, Lorena; de Fuentes, José María; Lombardi, Flavio; Ramos, Cristina. A technical characterization of APTs by leveraging public resources. International Journal of Information Security. Springer.
Ibanez-Lissen, Luis; González-Manzano, Lorena; de Fuentes, José María; Goyanes, Manuel. On the feasibility of predicting volumes of fake news – the Spanish case. Transactions on Computational Social Systems. IEEE.
Hernández-Álvarez, Luis; Barbierato, L; Caputo, Stefano; de Fuentes, José María; González-Manzano, Lorena. KeyEncoder: A secure and usable EEG-based cryptographic key generation mechanism. Pattern Recognition Letters. Springer.
González-Manzano, Lorena; de Fuentes, José María; Ramos, C.; Sánchez, Ángel; Quispe, Florabel. Identifying Key Relationships between Nation-State Cyberattacks and Geopolitical and Economic Factors: A Model. Security and Communication Networks. Hindawi.
Giménez-Aguilar, Mar; de Fuentes, José María; González-Manzano, Lorena; Arroyo, David. Achieving cybersecurity in blockchain-based systems: a survey. Future Generation Computer Systems. Elsevier.
Fernández-González, Fernando; de Fuentes, Carlos; González-Manzano, Lorena; de Fuentes, José María. Revisión sistemática de la jurisprudencia española sobre ciberseguridad y privacidad (1995-2020). Revista española de Derecho y privacidad.
Giménez-Aguilar, Mar; de Fuentes, José María; González-Manzano, Lorena; Cámara, Carmen. Zephyrus: An Information Hiding Mechanism Leveraging Ethereum Data Fields. Access. IEEE.
