Internet of Things (IoT) devices have enhanced daily living, embedding technology into homes, workplaces, and personal accessories. However, this convenience is accompanied by mounting concerns over privacy erosion, due to the extensive collection and transmission of personal data by IoT devices. In this scenario, we analyze a novel challenge: the potential exploitation of IoT devices for covert lawful interceptions, circumventing existing IoT safeguards. In this paper, we define a system to clandestinely capture audio or video data from IoT devices without an IoT safeguard being able to detect it. Through a proof of concept, we demonstrate the feasibility of the solution, underscoring the need for enhanced privacy measures in the face of evolving technological threats.

Enabling Lawful Interception in Environments Protected by IoT Safeguard / Canino, A.L., Lax, G.. - 14913:(2024), pp. 139-153. (13th International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2024 ita 2024) [10.1007/978-3-031-68211-7_12].

Enabling Lawful Interception in Environments Protected by IoT Safeguard

Canino A. L.;Lax G.
2024-01-01

Abstract

Internet of Things (IoT) devices have enhanced daily living, embedding technology into homes, workplaces, and personal accessories. However, this convenience is accompanied by mounting concerns over privacy erosion, due to the extensive collection and transmission of personal data by IoT devices. In this scenario, we analyze a novel challenge: the potential exploitation of IoT devices for covert lawful interceptions, circumventing existing IoT safeguards. In this paper, we define a system to clandestinely capture audio or video data from IoT devices without an IoT safeguard being able to detect it. Through a proof of concept, we demonstrate the feasibility of the solution, underscoring the need for enhanced privacy measures in the face of evolving technological threats.
2024
Inglese
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
13th International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2024
14913
139
153
15
9783031682100
9783031682117
Springer Science and Business Media Deutschland GmbH
GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
2024
ita
Blockchain
Cover channel
LEA
LEMF
Router
TCP/IP packet
No
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Canino, A. L.; Lax, G.
273
Enabling Lawful Interception in Environments Protected by IoT Safeguard / Canino, A.L., Lax, G.. - 14913:(2024), pp. 139-153. (13th International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2024 ita 2024) [10.1007/978-3-031-68211-7_12].
2
none
info:eu-repo/semantics/conferenceObject
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12318/154228
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