@article {ishak22, title = {Learning multi-party adversarial encryption and its application to secret sharing}, journal = {IEEE Access }, year = {2022}, publisher = {IEEE}, abstract = {

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.

}, keywords = {Cryptography, Encryption, Generative Adversarial Networks, Kernel, Mathematical models, Neural networks, Secret Sharing, Synchronization, Training}, issn = {2169-3536}, doi = {10.1109/ACCESS.2022.3223430}, url = {https://doi.org/10.1109/ACCESS.2022.3223430}, author = {Ishak Meraouche and Sabyasachi Dutta and Sraban Kumar Mohanty and Isaac Agudo and Kouichi Sakurai} } @inproceedings {rios2018mob, title = {Location Proximity Attacks against Mobile Targets: Analytical Bounds and Attacker Strategies}, booktitle = {23rd European Symposium on Research in Computer Security (ESORICS 2018)}, series = {LNCS}, volume = {11099}, year = {2018}, pages = {373-392}, publisher = {Springer}, organization = {Springer}, address = {Barcelona}, abstract = {

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.

}, isbn = {978-3-319-98988-4}, doi = {10.1007/978-3-319-98989-1}, author = {Xueou Wang and Xiaolu Hou and Ruben Rios and Per Hallgren and Nils Ole Tippenhauer and Martin Ochoa} } @book {Rios2016, title = {Location Privacy in Wireless Sensor Networks}, series = {CRC Series in Security, Privacy and Trust}, year = {2016}, publisher = {Taylor \& Francis}, organization = {Taylor \& Francis}, isbn = {9781498776332}, url = {https://www.crcpress.com/Location-Privacy-in-Wireless-Sensor-Networks/Rios-Lopez-Cuellar/p/book/9781498776332}, author = {Ruben Rios and Javier Lopez and Jorge Cuellar} } @incollection {ruben2014a, title = {Location Privacy in WSNs: Solutions, Challenges, and Future Trends}, booktitle = {Foundations of Security Analysis and Design VII}, volume = {8604}, number = {LNCS}, year = {2014}, pages = {244-282}, publisher = {Springer}, organization = {Springer}, abstract = {

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.

}, keywords = {Location Privacy, survey, traffic analysis, wireless sensor networks}, isbn = {978-3-319-10081-4}, issn = {0302-9743}, doi = {10.1007/978-3-319-10082-1_9}, author = {Ruben Rios and Javier Lopez and Jorge Cuellar} } @inproceedings {nunez2013leveraging, title = {Leveraging Privacy in Identity Management as a Service through Proxy Re-Encryption}, booktitle = {Ph.D Symposium of the European Conference on Service-Oriented and Cloud Computing (ESOCC) 2013}, year = {2013}, month = {September 2013}, address = {M{\'a}laga, Spain}, abstract = {

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.

}, author = {David Nu{\~n}ez and Isaac Agudo and Javier Lopez} } @article {jlopez09, title = {Los Desaf{\'\i}os de Seguridad en la Internet de los Objetos}, journal = {Revista SIC}, volume = {88}, year = {2010}, month = {Feb 2010}, pages = {66-73}, publisher = {Ediciones CODA}, abstract = {

El paradigma de la Internet de los Objetos, donde todos aquellos objetos f{\'\i}sicos que nos rodean tendr{\'a}n la capacidad de generar y consumir informaci{\'o}n en el {\'a}mbito de un mundo virtual, se encuentra cada vez m{\'a}s cerca. Es ahora un buen momento para llamar la atenci{\'o}n sobre sus principales desaf{\'\i}os de seguridad, tanto desde un punto de vista global como asociados a sus elementos m{\'a}s importantes (la tecnolog{\'\i}a RFID y las redes de sensores). As{\'\i}, este paradigma puede ser plenamente comprendido y protegido, evolucionando hacia uno de los nuevos pilares del futuro.

}, issn = {1136-0623}, author = {Javier Lopez and Rodrigo Roman and Pablo Najera} }