Zobrazeno 1 - 10
of 2 721
pro vyhledávání: '"Kanhere A"'
Site-specific wireless channel simulations via ray tracers can be used to effectively study wireless, decreasing the need for extensive site-specific radio propagation measurements. To ensure that ray tracer simulations faithfully reproduce wireless
Externí odkaz:
http://arxiv.org/abs/2410.03104
Autor:
D'Silva, Nicholas, Shahi, Toran, Husveg, Øyvind Timian Dokk, Sanjeeve, Adith, Buchholz, Erik, Kanhere, Salil S.
Once analysed, location trajectories can provide valuable insights beneficial to various applications. However, such data is also highly sensitive, rendering them susceptible to privacy risks in the event of mismanagement, for example, revealing an i
Externí odkaz:
http://arxiv.org/abs/2409.14645
As the adoption of Internet of Things (IoT) devices continues to rise in enterprise environments, the need for effective and efficient security measures becomes increasingly critical. This paper presents a cost-efficient platform to facilitate the pr
Externí odkaz:
http://arxiv.org/abs/2408.13172
Autor:
Doan, Bao Gia, Nguyen, Dang Quang, Lindquist, Callum, Montague, Paul, Abraham, Tamas, De Vel, Olivier, Camtepe, Seyit, Kanhere, Salil S., Abbasnejad, Ehsan, Ranasinghe, Damith C.
Object detectors are vulnerable to backdoor attacks. In contrast to classifiers, detectors possess unique characteristics, architecturally and in task execution; often operating in challenging conditions, for instance, detecting traffic signs in auto
Externí odkaz:
http://arxiv.org/abs/2408.12122
Location trajectories provide valuable insights for applications from urban planning to pandemic control. However, mobility data can also reveal sensitive information about individuals, such as political opinions, religious beliefs, or sexual orienta
Externí odkaz:
http://arxiv.org/abs/2407.16938
The challenges of healthcare supply chain management systems during the COVID-19 pandemic highlighted the need for an innovative and robust medical supply chain. The healthcare supply chain involves various stakeholders who must share information sec
Externí odkaz:
http://arxiv.org/abs/2407.11207
Honeyfiles are a particularly useful type of honeypot: fake files deployed to detect and infer information from malicious behaviour. This paper considers the challenge of naming honeyfiles so they are camouflaged when placed amongst real files in a f
Externí odkaz:
http://arxiv.org/abs/2405.04758
Publikováno v:
SoftwareX, 27 (2024) 101811
This paper presents gnss_lib_py, a Python library used to parse, analyze, and visualize data from a variety of GNSS (Global Navigation Satellite Systems) data sources. The gnss_lib_py library's ease of use, modular capabilities, testing coverage, and
Externí odkaz:
http://arxiv.org/abs/2404.08854
Autor:
Kulkarni, Pranav, Kanhere, Adway, Kukreja, Harshita, Zhang, Vivian, Yi, Paul H., Parekh, Vishwa S.
Generative Adversarial Network (GAN)-based synthesis of fat suppressed (FS) MRIs from non-FS proton density sequences has the potential to accelerate acquisition of knee MRIs. However, GANs trained on single-site data have poor generalizability to ex
Externí odkaz:
http://arxiv.org/abs/2404.07374
Digital identity is evolving from centralized systems to a decentralized approach known as Self-Sovereign Identity (SSI). SSI empowers individuals to control their digital identities, eliminating reliance on third-party data custodians and reducing t
Externí odkaz:
http://arxiv.org/abs/2404.06729