An ai-powered network threat detection system
BX Wang, JL Chen, CL Yu - IEEE Access, 2022 - ieeexplore.ieee.org
The work develops a network threat detection system, AI@ NTDS, that uses the behavioral
features of attackers and intelligent techniques. The proposed AI@ NTDS system combines …
features of attackers and intelligent techniques. The proposed AI@ NTDS system combines …
Correlation of cyber threat intelligence data across global honeypots
J Thom, Y Shah, S Sengupta - 2021 IEEE 11th annual …, 2021 - ieeexplore.ieee.org
Today's global network is filled with attackers both live and automated seeking to identify
and compromise vulnerable devices, with initial scanning and attack activity occurring within …
and compromise vulnerable devices, with initial scanning and attack activity occurring within …
AI Enabled IoT Network Traffic Fingerprinting with Locality Sensitive Hashing
J Thom - 2024 - scholarworks.unr.edu
The ubiquity of IoT devices in both public and private networks has increased dra-matically
in the last few years with billions of network-connected devices appear-ing in every sector. In …
in the last few years with billions of network-connected devices appear-ing in every sector. In …
Design and development of a honeypot testing system
AD Mourglia - 2022 - webthesis.biblio.polito.it
The permeation of connected electronic devices in everyday life has exponentially
increased since the beginning of this century. Connected devices are constantly exposed to …
increased since the beginning of this century. Connected devices are constantly exposed to …