activity
20192023
most citedWill Metaverse be NextG Internet? Vision, Hype, and Reality

271 citations · 303 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CY2023

Measuring and Modeling the Free Content Web

Abdulrahman Alabduljabbar, Runyu Ma, Ahmed Abusnaina +4

Free content websites that provide free books, music, games, movies, etc., have existed on the Internet for many years. While it is a common belief that such websites might be diff…

cs.CR2023★ 10 cited

Towards Zero-trust Security for the Metaverse

Ruizhi Cheng, Songqing Chen, Bo Han

By focusing on immersive interaction among users, the burgeoning Metaverse can be viewed as a natural extension of existing social media. Similar to traditional online social netwo…

cs.OS2022

SFS: Smart OS Scheduling for Serverless Functions

Yuqi Fu, Li Liu, Haoliang Wang +2

Serverless computing enables a new way of building and scaling cloud applications by allowing developers to write fine-grained serverless or cloud functions. The execution duration…

cs.NI2022★ 271 cited

Will Metaverse be NextG Internet? Vision, Hype, and Reality

Ruizhi Cheng, Nan Wu, Songqing Chen +1

Metaverse, with the combination of the prefix "meta" (meaning transcending) and the word "universe", has been deemed as the next-generation (NextG) Internet. It aims to create a sh…

cs.CR2021★ 1 cited

Understanding Internet of Things Malware by Analyzing Endpoints in their Static Artifacts

Afsah Anwar, Jinchun Choi, Abdulrahman Alabduljabbar +7

The lack of security measures among the Internet of Things (IoT) devices and their persistent online connection gives adversaries a prime opportunity to target them or even abuse t…

cs.CY2019

Computer Systems Have 99 Problems, Let's Not Make Machine Learning Another One

David Mohaisen, Songqing Chen

Machine learning techniques are finding many applications in computer systems, including many tasks that require decision making: network optimization, quality of service assurance…

cs.CR2019★ 21 cited

COPYCAT: Practical Adversarial Attacks on Visualization-Based Malware Detection

Aminollah Khormali, Ahmed Abusnaina, Songqing Chen +2

Despite many attempts, the state-of-the-art of adversarial machine learning on malware detection systems generally yield unexecutable samples. In this work, we set out to examine t…