2021
Authors
Brito, C; Pinto, L; Marinho, V; Paiva, S; Pinto, P;
Publication
PROCEEDINGS OF 2021 16TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI'2021)
Abstract
The Implanted Medical Devices (IMD) industry has grown over the past few decades and is expected to grow in the coming ones. Being an asset for the health and quality of life of a patient, the availability of IMD-related products, their increasing complexity and advances in communication capabilities do not seem to have been seamlessly accompanied by cybersecurity concerns. Recent IMD can be integrated in the concept of IoT (Internet of Things) and thus, they are also exposed to attacks impacting on privacy and, above all, on the health and even the life of the device users. While in an early stage of the IMD development, the security procedures were based on the existing classic protocols and models and their functional capabilities were the focus of development, recent efforts have been made to address security from the start. In this paper we review the most recent contributions on the cybersecurity of IMD products and we highlight innovative ideas that represent new design and development paradigms of these devices next generations. In this review it is reinforced that the technological evolution and the progressive access of attackers to resources capable of exploiting multiple vulnerabilities can have a crucial impact in the IMD already implanted in the patient's body, designed to remain in operation for many years. Also, it brings the need to develop novel and robust protocols to guarantee security compatible with constrained computing resources and extremely low energy requirements to be feasible. Finally, the security and privacy concerns regarding this kind of devices should be addressed in the design phase and policies must move from damage mitigation to threat prevention.
2021
Authors
Fernandes, R; Pinto, P; Pinto, A;
Publication
2021 IEEE INTERNATIONAL MEDITERRANEAN CONFERENCE ON COMMUNICATIONS AND NETWORKING (IEEE MEDITCOM 2021)
Abstract
The Malware Information Sharing Platform (MISP) enables the sharing of cyberthreat information within a community, company or organisation. However, this platform presents limitations if its information is deemed as classified or shared only for a given period of time. This implies that this information should to be handled only in encrypted form. One solution is to use MISP with searchable encryption techniques to impose greater control over the sharing of information. In this paper, we propose a controlled information sharing functionality that features a synchronisation procedure that enables classified data exchange between MISP instances, based on policies and ensuring the required confidentiality and integrity of the shared data. Sequence charts are presented validating the configuration, the data synchronisation, and the data searching between multiple entities.
2021
Authors
Barros, D; Barros, P; Lomba, E; Ferreira, V; Pinto, P;
Publication
OpenAccess Series in Informatics
Abstract
The actual learning process in a school, college or university should take full advantage of the digital transformation. Computers, mobile phones, tablets or other electronic devices can be used in learning environments to improve learning experience and students performance. However, in a university campus, there are some activities where the use of connected devices, might be discouraged or even forbidden. Students should be discouraged to use their own devices in classes where they may become alienated or when their devices may cause any disturbance. Ultimately, their own devices should be forbidden in activities such as closed-book exams. This paper proposes a system architecture to detect or block unwanted wireless signals by students' mobile phones in a classroom. This architecture focuses on specific wireless signals from Wi-Fi and Bluetooth interfaces, and it is based on Software-Defined Radio (SDR) modules and a set of antennas with two configuration modes: detection mode and blocking mode. When in the detection mode, the architecture processes signals from the antennas, detects if there is any signal from Wi-Fi or Bluetooth interfaces and infers a position of the unwanted mobile device. In the blocking mode, the architecture generates noise in the same frequency range of Wi-Fi or Bluetooth interfaces, blocking any possible connection. The proposed architecture is designed to be used by professors to detect or block unwanted wireless signals from student devices when supervising closed-book exams, during specific periods of time. © Daniel Barros, Paulo Barros, Emanuel Lomba, Vítor Ferreira, and Pedro Pinto; licensed under Creative Commons License CC-BY 4.0 Second International Computer Programming Education Conference (ICPEC 2021).
2021
Authors
Sequeira, AF; Gomez Barrero, M; Correia, PL;
Publication
IET BIOMETRICS
Abstract
[No abstract available]
2021
Authors
Brömme A.; Busch C.; Damer N.; Dantcheva A.; Gomez-Barrero M.; Raja K.; Rathgeb C.; Sequeira A.F.; Uhl A.;
Publication
Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)
Abstract
2021
Authors
Brömme A.; Busch C.; Damer N.; Dantcheva A.; Gomez-Barrero M.; Raja K.; Rathgeb C.; Sequeira A.F.; Uhl A.;
Publication
BIOSIG 2021 - Proceedings of the 20th International Conference of the Biometrics Special Interest Group
Abstract
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