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Displaying 1 - 7 of 7

Machine Learning-Based Algorithmically Generated Domain Detection

May 1, 2022
Author(s)
Zheng Wang, Yang Guo, Douglas Montgomery
Malware like botnets typically uses domain generation algorithms (DGAs) to dynamically produce a large number of random algorithmically generated domains (AGDs) and use a few of them to communicate with the command and control servers. AGD detection

Neural Networks Based Domain Name Generation

September 1, 2021
Author(s)
Zheng Wang, Yang Guo
Domain generation algorithm (DGA) is commonly used to dynamically produce a large number of random domain names and select a small subset for actual use. DGA provides a method to make DNS mapping elusive and thereby make countermeasures ineffective. Modern

Evolution and Challenges of DNS-Based CDNs

November 1, 2018
Author(s)
Zheng Wang, Scott W. Rose
DNS-based server redirecting has been realized as the most popular way to deploy CDNs. However, with the increasing use of remote DNS, DNS-based CDNs faces a great challenge in performance degradation. To address this challenging issue, encouraging

Energy-Aware Server Allocating

September 1, 2018
Author(s)
Zheng Wang, Scott W. Rose
Faced with the scalability and reliability challenge, the DNS is increasingly operated by geographically dispersed data centers. Energy management across those distributed diverse data centers is critical to reduce revenue loss for DNS operators. This

Deep Learning-Based Intrusion Detection With Adversaries

July 9, 2018
Author(s)
Zheng Wang
Deep neural networks have demonstrated their effectiveness in most machine learning tasks, with intrusion detection included. Unfortunately, recent research found that deep neural networks are vulnerable to adversarial examples in the image classification