Export results:
Author Title Type [ Year(Asc)]
Filters: First Letter Of Title is L  [Clear All Filters]
I. Meraouche, S. Dutta, S. Kumar Mohanty, I. Agudo, and K. Sakurai, "Learning multi-party adversarial encryption and its application to secret sharing",
IEEE Access , IEEE, 2022. DOI (I.F.: 3.367)More..


Neural networks based cryptography has seen a significant growth since the introduction of adversarial cryptography which makes use of Generative Adversarial Networks (GANs) to build neural networks that can learn encryption. The encryption has been proven weak at first but many follow up works have shown that the neural networks can be made to learn the One Time Pad (OTP) and produce perfectly secure ciphertexts. To the best of our knowledge, existing works only considered communications between two or three parties. In this paper, we show how multiple neural networks in an adversarial setup can remotely synchronize and establish a perfectly secure communication in the presence of different attackers eavesdropping their communication. As an application, we show how to build Secret Sharing Scheme based on this perfectly secure multi-party communication. The results show that it takes around 45,000 training steps for 4 neural networks to synchronize and reach equilibria. When reaching equilibria, all the neural networks are able to communicate between each other and the attackers are not able to break the ciphertexts exchanged between them.

Impact Factor: 3.367
Journal Citation Reports® Science Edition (Thomson Reuters, 2020)

X. Wang, et al., "Location Proximity Attacks against Mobile Targets: Analytical Bounds and Attacker Strategies",
23rd European Symposium on Research in Computer Security (ESORICS 2018), LNCS 11099, Springer, pp. 373-392, 2018. DOI More..


Location privacy has mostly focused on scenarios where users remain static. However, investigating scenarios where the victims present a particular mobility pattern is more realistic. In this paper, we consider abstract attacks on services that provide location information on other users in the proximity. In that setting, we quantify the required effort of the attacker to localize a particular mobile victim. We prove upper and lower bounds for the effort of an optimal attacker. We experimentally show that a Linear Jump Strategy (LJS) practically achieves the upper bounds for almost uniform initial distributions of victims. To improve performance for less uniform distributions known to the attacker, we propose a Greedy Updating Attack Strategy (GUAS). Finally, we derive a realistic mobility model from a real-world dataset and discuss the performance of our strategies in that setting.

PDF icon rios2018mob.pdf (398.3 KB)
R. Rios, J. Lopez, and J. Cuellar, "Location Privacy in Wireless Sensor Networks",
CRC Series in Security, Privacy and Trust, Taylor & Francis, 2016. More..
R. Rios, J. Lopez, and J. Cuellar, "Location Privacy in WSNs: Solutions, Challenges, and Future Trends",
Foundations of Security Analysis and Design VII, vol. 8604, no. LNCS, Springer, pp. 244-282, 2014. DOI More..


Privacy preservation is gaining popularity in Wireless Sensor Network (WSNs) due to its adoption in everyday scenarios. There are a number of research papers in this area many of which concentrate on the location privacy problem. In this paper we review and categorise these solutions based on the information available to the adversary and his capabilities. But first we analyse whether traditional anonymous communication systems conform to the original requirements of location privacy in sensor networks. Finally, we present and discuss a number of challenges and future trends that demand further attention from the research community.

PDF icon ruben2014a.pdf (686.66 KB)
D. Nuñez, I. Agudo, and J. Lopez, "Leveraging Privacy in Identity Management as a Service through Proxy Re-Encryption",
Ph.D Symposium of the European Conference on Service-Oriented and Cloud Computing (ESOCC) 2013, September 2013. More..


The advent of cloud computing has provided the opportunity to externalize the identity management processes, shaping what has been called Identity Management as a Service (IDaaS). However, as in the case of other cloud-based services, IDaaS brings with it great concerns regarding security and privacy, such as the loss of control over the outsourced data. As part of this PhD thesis, we analyze these concerns and propose BlindIdM, a model for privacy-preserving IDaaS with a focus on data privacy protection through the use of proxy re-encryption.

PDF icon nunez2013leveraging.pdf (276.87 KB)
J. Lopez, R. Roman, and P. Najera, "Los Desafíos de Seguridad en la Internet de los Objetos",
Revista SIC, vol. 88, Ediciones CODA, pp. 66-73, Feb 2010. More..


El paradigma de la Internet de los Objetos, donde todos aquellos objetos físicos que nos rodean tendrán la capacidad de generar y consumir información en el ámbito de un mundo virtual, se encuentra cada vez más cerca. Es ahora un buen momento para llamar la atención sobre sus principales desafíos de seguridad, tanto desde un punto de vista global como asociados a sus elementos más importantes (la tecnología RFID y las redes de sensores). Así, este paradigma puede ser plenamente comprendido y protegido, evolucionando hacia uno de los nuevos pilares del futuro.

PDF icon jlopez09.pdf (1.06 MB)
Modify or remove your filters and try again.