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Generative deep learning for Internet of Things network traffic generation
The rapid development of the Internet of Things (IoT) has prompted a recent interest into
realistic IoT network traffic generation. Security practitioners need IoT network traffic data to …
realistic IoT network traffic generation. Security practitioners need IoT network traffic data to …
Clustering of unknown protocol messages based on format comparison
As a solution to detect and analyse unknown or proprietary protocols, Protocol Reverse
Engineering (PRE) has been developed swiftly in recent years. In this field, message …
Engineering (PRE) has been developed swiftly in recent years. In this field, message …
Raregan: Generating samples for rare classes
We study the problem of learning generative adversarial networks (GANs) for a rare class of
an unlabeled dataset subject to a labeling budget. This problem is motivated from practical …
an unlabeled dataset subject to a labeling budget. This problem is motivated from practical …
ResolFuzz: Differential fuzzing of DNS resolvers
This paper identifies and analyzes vulnerabilities in the DNS infrastructure, with particular
focus on recursive DNS resolvers. We aim to identify semantic bugs that could lead to …
focus on recursive DNS resolvers. We aim to identify semantic bugs that could lead to …
Illuminating the hidden challenges of data-driven CDNs
TA Benson - Proceedings of the 3rd Workshop on Machine Learning …, 2023 - dl.acm.org
While Data-driven CDNs have the potential to provide unparalleled performance and
availability improvements, they open up an intricate and exciting tapestry of previously un …
availability improvements, they open up an intricate and exciting tapestry of previously un …
Data Sharing with Generative Adversarial Networks: From Theory to Practice
Z Lin - 2022 - search.proquest.com
In today's age of big data, data sharing among companies, customers, and researchers has
become a critical activity that drives advancements across industry and academia. In these …
become a critical activity that drives advancements across industry and academia. In these …
Deep learning for Internet of Things (IoT) network security
MR Shahid - 2021 - theses.hal.science
The growing Internet of Things (IoT) introduces new security challenges for network activity
monitoring. Most IoT devices are vulnerable because of a lack of security awareness from …
monitoring. Most IoT devices are vulnerable because of a lack of security awareness from …
ADFAT: Adversarial Flow Arrival Time Generation for Demand-Oblivious Data Center Networks
Researchers develo** new architectures and algorithms for data center networks (DCNs)
face the challenge of producing meaningful evaluations of their contributions. Traditional …
face the challenge of producing meaningful evaluations of their contributions. Traditional …
[LIBRO][B] Practical Black-Box Analysis for Network Functions and Services
SJ Moon - 2020 - search.proquest.com
Modern networks are exploding with an increasing array of diverse network functions (eg,
network firewalls) and services (eg, public servers). Despite their critical role in our modern …
network firewalls) and services (eg, public servers). Despite their critical role in our modern …