Matthew Landen

According to our database, Matthew Landen authored at least 9 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

WEBRR: A Forensic System for Replaying and Investigating Web-Based Attacks in The Modern Web.

Joey Allen, Zheng Yang, Feng Xiao, Matthew Landen, Roberto Perdisci, Wenke Lee

Proceedings of the 33rd USENIX Security Symposium, 2024

Comparing Malware Evasion Theory with Practice: Results from Interviews with Expert Analysts.

Miuyin Yong Wong, Matthew Landen, Frank Li, Fabian Monrose, Mustaque Ahamad

Proceedings of the Twentieth Symposium on Usable Privacy and Security, 2024

2023

Bridging Both Worlds in Semantics and Time: Domain Knowledge Based Analysis and Correlation of Industrial Process.

Moses Ike, Kandy Phan, Anwesh Badapanda, Matthew Landen, Keaton Sadoski, Wanda Guo, Asfahan Shah, Saman A. Zonouz, Wenke Lee

CoRR, 2023

TRIDENT: Towards Detecting and Mitigating Web-based Social Engineering Attacks.

Zheng Yang, Joey Allen, Matthew Landen, Roberto Perdisci, Wenke Lee

Proceedings of the 32nd USENIX Security Symposium, 2023

2022

DRAGON: Deep Reinforcement Learning for Autonomous Grid Operation and Attack Detection.

Matthew Landen, Key-whan Chung, Moses Ike, Sarah Mackay, Jean-Paul Watson, Wenke Lee

Proceedings of the Annual Computer Security Applications Conference, 2022

2021

An Inside Look into the Practice of Malware Analysis.

Miuyin Yong Wong, Matthew Landen, Manos Antonakakis, Douglas M. Blough, Elissa M. Redmiles, Mustaque Ahamad

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

2020

Mnemosyne: An Effective and Efficient Postmortem Watering Hole Attack Investigation System.

Joey Allen, Zheng Yang, Matthew Landen, Raghav Bhat, Harsh Grover, Andrew Chang, Yang Ji, Roberto Perdisci, Wenke Lee

Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020

Planning with Abstract Learned Models While Learning Transferable Subtasks.

John Winder, Stephanie Milani, Matthew Landen, Erebus Oh, Shane Parr, Shawn Squire, Marie desJardins, Cynthia Matuszek

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

Improving Accuracy of Android Malware Detection with Lightweight Contextual Awareness.

Joey Allen, Matthew Landen, Sanya Chaba, Yang Ji, Simon Pak Ho Chung, Wenke Lee

Proceedings of the 34th Annual Computer Security Applications Conference, 2018