March 28, 2024, 4:42 a.m. | Lijin Wu, Shanshan Lei, Feilong Liao, Yuanjun Zheng, Yuxin Liu, Wentao Fu, Hao Song, Jiajun Zhou

cs.LG updates on

arXiv:2403.17980v1 Announce Type: cross
Abstract: As the number of IoT devices increases, security concerns become more prominent. The impact of threats can be minimized by deploying Network Intrusion Detection System (NIDS) by monitoring network traffic, detecting and discovering intrusions, and issuing security alerts promptly. Most intrusion detection research in recent years has been directed towards the pair of traffic itself without considering the interrelationships among them, thus limiting the monitoring of complex IoT network attack events. Besides, anomalous traffic in …

abstract alerts arxiv become concerns cs.lg detection devices graph impact iot monitoring network research security security concerns threats traffic type

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

IT Commercial Data Analyst - ESO

@ National Grid | Warwick, GB, CV34 6DA

Stagiaire Data Analyst – Banque Privée - Juillet 2024

@ Rothschild & Co | Paris (Messine-29)

Operations Research Scientist I - Network Optimization Focus

@ CSX | Jacksonville, FL, United States

Machine Learning Operations Engineer

@ Intellectsoft | Baku, Baku, Azerbaijan - Remote

Data Analyst

@ Health Care Service Corporation | Richardson Texas HQ (1001 E. Lookout Drive)