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Akademický článek

ASPHALT BINDERS EMPLOY VARIOUS ORGANIC ADDITIVES: PHYSICAL AND RHEOLOGICAL QUALITIE

Autor: Omar Adel Ismael, Siham Idan Salih

Publikováno v: Journal of Engineering and Sustainable Development, Vol 28, Iss 1 (2024)

Several studies aim to reduce surface temperatures and improve the performance of hot mix asphalt. These studies have occurred to reduce the global warming phenomena and economic concerns. We're researching how organic materials affect the viscosity

Externí odkaz: https://doaj.org/article/4b993cf7747a44f686261164e3988db5

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Noise2Weight: On Detecting Payload Weight from Drones Acoustic Emissions

Autor: Ibrahim, Omar Adel, Sciancalepore, Savio, Di Pietro, Roberto

The increasing popularity of autonomous and remotely-piloted drones have paved the way for several use-cases, e.g., merchandise delivery and surveillance. In many scenarios, estimating with zero-touch the weight of the payload carried by a drone befo

Externí odkaz: http://arxiv.org/abs/2005.01347

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MAGNETO: Fingerprinting USB Flash Drives via Unintentional Magnetic Emissions

Autor: Ibrahim, Omar Adel, Sciancalepore, Savio, Oligeri, Gabriele, Di Pietro, Roberto

Universal Serial Bus (USB) Flash Drives are nowadays one of the most convenient and diffused means to transfer files, especially when no Internet connection is available. However, USB flash drives are also one of the most common attack vectors used t

Externí odkaz: http://arxiv.org/abs/2002.05905

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Akademický článek

A dataset of barometric readings for enhancing security and privacy of IoT

Autor: Omar Adel Ibrahim, Gabriele Oligeri, Roberto Di Pietro

Publikováno v: Data in Brief, Vol 51, Iss , Pp 109782- (2023)

The security and privacy of wireless channels is typically enforced by leveraging cryptographic tools. However, there are scenarios where these methods are unfit, such as in resource-constrained environments, i.e., Internet of Things (IoT), or when a

Externí odkaz: https://doaj.org/article/c0eddd1e3b2348fe9c347a6b10a7e0be

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PiNcH: an Effective, Efficient, and Robust Solution to Drone Detection via Network Traffic Analysis

Autor: Sciancalepore, Savio, Ibrahim, Omar Adel, Oligeri, Gabriele, Di Pietro, Roberto

Publikováno v: Computer Networks (COMNET), Elsevier, 2020

We propose PiNcH, a methodology to detect the presence of a drone, its current status, and its movements by leveraging just the communication traffic exchanged between the drone and its Remote Controller (RC). PiNcH is built applying standard classif

Externí odkaz: http://arxiv.org/abs/1901.03535

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