53 citations · 79 across the 11 of their papers we have counts for
11 papers
Low-Quality Training Data Only? A Robust Framework for Detecting Encrypted Malicious Network Traffic
Yuqi Qing, Qilei Yin, Xinhao Deng +6
Machine learning (ML) is promising in accurately detecting malicious flows in encrypted network traffic; however, it is challenging to collect a training dataset that contains a su…
Learning from Limited Heterogeneous Training Data: Meta-Learning for Unsupervised Zero-Day Web Attack Detection across Web Domains
Peiyang Li, Ye Wang, Qi Li +5
Recently unsupervised machine learning based systems have been developed to detect zero-day Web attacks, which can effectively enhance existing Web Application Firewalls (WAFs). Ho…
Secure Inter-domain Routing and Forwarding via Verifiable Forwarding Commitments
Xiaoliang Wang, Zhuotao Liu, Qi Li +6
The Internet inter-domain routing system is vulnerable. On the control plane, the de facto Border Gateway Protocol (BGP) does not have built-in mechanisms to authenticate routing a…
martFL: Enabling Utility-Driven Data Marketplace with a Robust and Verifiable Federated Learning Architecture
Qi Li, Zhuotao Liu, Ke Xu
The development of machine learning models requires a large amount of training data. Data marketplaces are essential for trading high-quality, private-domain data not publicly avai…
CONTRACTFIX: A Framework for Automatically Fixing Vulnerabilities in Smart Contracts
Pengcheng, Peng, Yun +7
The increased adoption of smart contracts in many industries has made them an attractive target for cybercriminals, leading to millions of dollars in losses. Thus, deploying smart…
HyperService: Interoperability and Programmability Across Heterogeneous Blockchains
Zhuotao Liu, Yangxi Xiang, Jian Shi +5
Blockchain interoperability, which allows state transitions across different blockchain networks, is critical functionality to facilitate major blockchain adoption. Existing intero…
Umbrella: Enabling ISPs to Offer Readily Deployable and Privacy-Preserving DDoS Prevention Services
Zhuotao Liu, Yuan Cao, Min Zhu +1
Defending against distributed denial of service (DDoS) attacks in the Internet is a fundamental problem. However, recent industrial interviews with over 100 security experts from m…
Managing Recurrent Virtual Network Updates in Multi-Tenant Datacenters: A System Perspective
Zhuotao Liu, Yuan Cao, Xuewu Zhang +2
With the advent of software-defined networking, network configuration through programmable interfaces becomes practical, leading to various on-demand opportunities for network rout…
Enabling Work-conserving Bandwidth Guarantees for Multi-tenant Datacenters via Dynamic Tenant-Queue Binding
Zhuotao Liu, Kai Chen, Haitao Wu +4
Today's cloud networks are shared among many tenants. Bandwidth guarantees and work conservation are two key properties to ensure predictable performance for tenant applications an…
Fine-Grained Endpoint-Driven In-Network Traffic Control for Proactive DDoS Attack Mitigation
Zhuotao Liu, Hao Jin, Yih-Chun Hu +1
Volumetric attacks, which overwhelm the bandwidth of a destination, are among the most common DDoS attacks today. Despite considerable effort made by both research and industry, ou…
TorPolice: Towards Enforcing Service-Defined Access Policies in Anonymous Systems
Zhuotao Liu, Yushan Liu, Philipp Winter +2
Tor is the most widely used anonymity network, currently serving millions of users each day. However, there is no access control in place for all these users, leaving the network v…