84 citations · 179 across the 10 of their papers we have counts for
11 papers
Detecting Anomalous Microflows in IoT Volumetric Attacks via Dynamic Monitoring of MUD Activity
Ayyoob Hamza, Hassan Habibi Gharakheili, Theophilus A. Benson +2
IoT networks are increasingly becoming target of sophisticated new cyber-attacks. Anomaly-based detection methods are promising in finding new attacks, but there are certain practi…
Providing In-network Support to Coflow Scheduling
Cristian Hernandez Benet, Andreas J. Kassler, Gianni Antichi +2
Many emerging distributed applications, including big data analytics, generate a number of flows that concurrently transport data across data center networks. To improve their perf…
ConfigTron: Tackling network diversity with heterogeneous configurations
Usama Naseer, Theophilus Benson
The web serving protocol stack is constantly changing and evolving to tackle technological shifts in networking infrastructure and website complexity. As a result of this evolution…
Verifying and Monitoring IoTs Network Behavior using MUD Profiles
Ayyoob Hamza, Dinesha Ranathunga, Hassan Habibi Gharakheili +3
IoT devices are increasingly being implicated in cyber-attacks, raising community concern about the risks they pose to critical infrastructure, corporations, and citizens. In order…
Exploiting Network Loss for Distributed Approximate Computing with NetApprox
Ke Liu, Jinmou Li, Shin-Yeh Tsai +2
Many data center applications such as machine learning and big data analytics can complete their analysis without processing the complete set of data. While extensive approximate-a…
DeepConfig: Automating Data Center Network Topologies Management with Machine Learning
Christopher Streiffer, Huan Chen, Theophilus Benson +1
In recent years, many techniques have been developed to improve the performance and efficiency of data center networks. While these techniques provide high accuracy, they are often…
Dapper: Data Plane Performance Diagnosis of TCP
Mojgan Ghasemi, Theophilus Benson, Jennifer Rexford
With more applications moving to the cloud, cloud providers need to diagnose performance problems in a timely manner. Offline processing of logs is slow and inefficient, and instru…
Finding Needles in the Haystack: Harnessing Syslogs for Data Center Management
Chen Liang, Theophilus Benson, Partha Kanuparthy +1
Network device syslogs are ubiquitous and abundant in modern data centers with most large data centers producing millions of messages per day. Yet, the operational information refl…
Performance Characterization of a Commercial Video Streaming Service
Mojgan Ghasemi, Partha Kanuparthy, Ahmed Mansy +2
Despite the growing popularity of video streaming over the Internet, problems such as re-buffering and high startup latency continue to plague users. In this paper, we present an e…
YTrace: End-to-end Performance Diagnosis in Large Cloud and Content Providers
Partha Kanuparthy, Yuchen Dai, Sudhir Pathak +4
Content providers build serving stacks to deliver content to users. An important goal of a content provider is to ensure good user experience, since user experience has an impact o…
Stratos: A Network-Aware Orchestration Layer for Virtual Middleboxes in Clouds
Aaron Gember, Anand Krishnamurthy, Saul St. John +6
Enterprises want their in-cloud services to leverage the performance and security benefits that middleboxes offer in traditional deployments. Such virtualized deployments create ne…