69 citations · 81 across the 5 of their papers we have counts for
7 papers
5G-NIDD: A Comprehensive Network Intrusion Detection Dataset Generated over 5G Wireless Network
Sehan Samarakoon, Yushan Siriwardhana, Pawani Porambage +5
With a plethora of new connections, features, and services introduced, the 5th generation (5G) wireless technology reflects the development of mobile communication networks and is…
Improving Botnet Detection with Recurrent Neural Network and Transfer Learning
Jeeyung Kim, Alex Sim, Jinoh Kim +2
Botnet detection is a critical step in stopping the spread of botnets and preventing malicious activities. However, reliable detection is still a challenging task, due to a wide va…
Botnet Detection Using Recurrent Variational Autoencoder
Jeeyung Kim, Alex Sim, Jinoh Kim +1
Botnets are increasingly used by malicious actors, creating increasing threat to a large number of internet users. To address this growing danger, we propose to study methods to de…
An Ensemble Approach toward Automated Variable Selection for Network Anomaly Detection
Makiya Nakashima, Alex Sim, Youngsoo Kim +2
While variable selection is essential to optimize the learning complexity by prioritizing features, automating the selection process is preferred since it requires laborious effort…
A Hybrid Cache Architecture for Meeting Per-Tenant Performance Goals in a Private Cloud
Taejoon Kim, Yu Gu, Jinoh Kim
The in-memory cache system is an important component in a cloud for the data access performance. As the tenants may have different performance goals for data access depending on th…
Learning-based Dynamic Cache Management in a Cloud
Jinhwan Choi, Yu Gu, Jinoh Kim
Caches are an important component of modern computing systems given their significant impact on performance. In particular, caches play a key role in the cloud due to the nature of…