PASID: Exploiting Indoor mmWave Deployments for Passive Intrusion Detection

Devoti, Francesco; Sciancalepore, Vincenzo; Filippini, Ilario; Costa‐Pérez, Xavier

doi:10.1109/infocom41043.2020.9155401

Cited by 4 publications

(3 citation statements)

References 28 publications

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“…More recently, CNNs have inspired several works addressing the problem of indoor localization. [44] demonstrates a low-cost intrusion detection mechanism built on COTS hardware able to detect intruders up to 99% accuracy at 2% additional energy cost. Along these lines, [45]- [47] tackle the localization accuracy in harsh environments, showing that CNNs are able to mitigate NLoS effects and obtain sub-meter accuracy with Ultra Wide Band (UWB) signals.…”

Section: Related Workmentioning

confidence: 99%

SARDO: An Automated Search-and-Rescue Drone-Based Solution for Victims Localization

Albanese¹,

Sciancalepore²,

Costa‐Pérez

2022

IEEE Trans. on Mobile Comput.

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Natural disasters affect millions of people every year. Finding missing persons in the shortest possible time is of crucial importance to reduce the death toll. This task is especially challenging when victims are sparsely distributed in large and/or difficult-to-reach areas and cellular networks are down. In this paper we present SARDO, a drone-based search and rescue solution that leverages the high penetration rate of mobile phones in the society to localize missing people. SARDO is an autonomous, all-in-one drone-based mobile network solution that does not require infrastructure support or mobile phones modifications. It builds on novel concepts such as pseudo-trilateration combined with machine-learning techniques to efficiently locate mobile phones in a given area. Our results, with a prototype implementation in a field-trial [1], show that SARDO rapidly determines the location of mobile phones (∼ 3 min/UE) in a given area with an accuracy of few tens of meters and at a low battery consumption cost (∼ 5%). State-of-the-art localization solutions for disaster scenarios rely either on mobile infrastructure support or exploit onboard cameras for human/computer vision, IR, thermal-based localization. To the best of our knowledge, SARDO is the first drone-based cellular search-and-rescue solution able to accurately localize missing victims through mobile phones.

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Section: Related Workmentioning

confidence: 99%

SARDO: An Automated Search-and-Rescue Drone-Based Solution for Victims Localization

Albanese¹,

Sciancalepore²,

Costa‐Pérez

2022

IEEE Trans. on Mobile Comput.

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“…The probing and communication phases necessitate highly directive codebooks in order to scan the 3D space with a fine spatial resolution [19], [20]. To this end, we partition the total scanning angle into L angular sectors [φ l , φ l+1 ] with φ l+1 − Algorithm 2 MARISA -Communication phase…”

Section: B Codebook Designmentioning

confidence: 99%

MARISA: A Self-configuring Metasurfaces Absorption and Reflection Solution Towards 6G

Albanese¹,

Devoti²,

Sciancalepore³

et al. 2022

IEEE INFOCOM 2022 - IEEE Conference on Computer Communications

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Reconfigurable Intelligent Surfaces (RISs) are considered one of the key disruptive technologies towards future 6G networks. RISs revolutionize the traditional wireless communication paradigm by controlling the wave propagation properties of the impinging signals at will. A major roadblock for RIS is though the need for a fast and complex control channel to continuously adapt to the ever-changing wireless channel conditions. In this paper, we ask ourselves the question: Would it be feasible to remove the need for control channels for RISs? We analyze the feasibility of devising Self-Configuring Smart Surfaces that can be easily and seamlessly installed throughout the environment, following the new Internet-of-Surfaces (IoS) paradigm, without requiring modifications of the deployed mobile network. To this aim we design MARISA, a self-configuring metasurfaces absorption and reflection solution. Our results show that MARISA achieves outstanding performance, rivaling with state-of-the-art control channel-driven RISs solutions.

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“…But in this test case, it is identified that it is GPS spoofing. In this work, the structure of a passive IDS is used (DEVOTI et al, 2020;TIAN et al, 2018). When it identifies that the vulnerability is not a false positive, it issues an alarm to the administrator (decision-making module) to prevent the invasion from continuing.…”

Section: :32:52mentioning

confidence: 99%

Resilient architecture to dynamically manage unmanned aerial vehicle networks under attack

Ferrão¹

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First, I would like to thank my best friend, my greatest supporter, my inexhaustible source of strength, love and affection, my mother. I thank you for everything you have always done for me, without you none of this would have been possible. I also thank my boyfriend, Sherlon Almeida da Silva, you have always been one of my biggest supporters, my source of energy and strength. Words will never express the gratitude I have for everything you've always done for me, thank you. I would also like to thank all the teachers who contributed to my academic journey, from elementary school to graduate school. My eternal gratitude to all these warriors. I would like to thank my dear advisor Kalinka Regina Lucas Jaquie Castelo Branco, you are one of the most kind, competent and inspiring people I have ever met. Even before entering graduate school, I already wanted to work with you for your competence, but I was surprised by an example of a wonderful human being. Thank you for the guidance and for everything you have done for me, I admire you too much.Finally, I would like to thank all friends from USP and friends from the laboratory, you made my afternoons happier, they were essential to keep me on track and achieve my goals.This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior -Brasil (CAPES) -Finance Code 001. "Quando se nasce pobre, ser estudioso é o maior ato de rebeldia contra o sistema -autor desconhecido" ABSTRACT FERRÃO, ISADORA GARCIA. Resilient architecture to dynamically manage unmanned aerial vehicle networks under attack. 2021. 136 p. Dissertação (Mestrado em Ciências -

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PASID: Exploiting Indoor mmWave Deployments for Passive Intrusion Detection

Cited by 4 publications

References 28 publications

SARDO: An Automated Search-and-Rescue Drone-Based Solution for Victims Localization

SARDO: An Automated Search-and-Rescue Drone-Based Solution for Victims Localization

MARISA: A Self-configuring Metasurfaces Absorption and Reflection Solution Towards 6G

Resilient architecture to dynamically manage unmanned aerial vehicle networks under attack

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