Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Alyami, Mnassar"'
Despite encryption, the packet size is still visible, enabling observers to infer private information in the Internet of Things (IoT) environment (e.g., IoT device identification). Packet padding obfuscates packet-length characteristics with a high d
Externí odkaz:
http://arxiv.org/abs/2309.05941
Deep learning models have been used in creating various effective image classification applications. However, they are vulnerable to adversarial attacks that seek to misguide the models into predicting incorrect classes. Our study of major adversaria
Externí odkaz:
http://arxiv.org/abs/2306.00314
Autor:
Alyami, Mnassar
Publikováno v:
Graduate Thesis and Dissertation 2023-2024
WiFi networks are susceptible to statistical traffic analysis attacks. Despite encryption, the metadata of encrypted traffic, such as packet inter-arrival time and size, remains visible. This visibility allows potential eavesdroppers to infer private
Autor:
Alkhowaiter M; College of Engineering and Computer Science, University of Central Florida, Orlando, FL 32816, USA.; College of Computer Engineering and Science, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia., Kholidy H; College of Engineering, SUNY Polytechnic Institute, Utica, NY 13502, USA., Alyami MA; College of Engineering and Computer Science, University of Central Florida, Orlando, FL 32816, USA., Alghamdi A; College of Engineering and Computer Science, University of Central Florida, Orlando, FL 32816, USA., Zou C; College of Engineering and Computer Science, University of Central Florida, Orlando, FL 32816, USA.
Publikováno v:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Jul 11; Vol. 23 (14). Date of Electronic Publication: 2023 Jul 11.
