activity
20162024
most citedSelf-Supervised RF Signal Representation Learning for NextG Signal Classification with Deep Learning

48 citations · 96 across the 7 of their papers we have counts for

collaborators

7 papers

cs.IT2024

Repairing Reed-Solomon Codes with Side Information

Thi Xinh Dinh, Ba Thong Le, Son Hoang Dau +6

We generalize the problem of recovering a lost/erased symbol in a Reed-Solomon code to the scenario in which some side information about the lost symbol is known. The side informat…

cs.IT2023

Designing Compact Repair Groups for Reed-Solomon Codes

Thi Xinh Dinh, Serdar Boztas, Son Hoang Dau +1

Motivated by the application of Reed-Solomon codes to recently emerging decentralized storage systems such as Storj and Filebase/Sia, we study the problem of designing compact repa…

cs.NI2022★ 48 cited

Self-Supervised RF Signal Representation Learning for NextG Signal Classification with Deep Learning

Kemal Davaslioglu, Serdar Boztas, Mehmet Can Ertem +2

Deep learning (DL) finds rich applications in the wireless domain to improve spectrum awareness. Typically, DL models are either randomly initialized following a statistical distri…

cs.IT2022★ 2 cited

Practical Considerations in Repairing Reed-Solomon Codes

Thi Xinh Dinh, Luu Y Nhi Nguyen, Lakshmi J. Mohan +3

The issue of repairing Reed-Solomon codes currently employed in industry has been sporadically discussed in the literature. In this work we carry out a systematic study of these co…

cs.CR2018

Insider Threat Detection Through Attributed Graph Clustering

Anagi Gamachchi, Serdar Boztas

While most organizations continue to invest in traditional network defences, a formidable security challenge has been brewing within their own boundaries. Malicious insiders with p…

cs.CR2018★ 8 cited

A Graph Based Framework for Malicious Insider Threat Detection

Anagi Gamachchi, Li Sun, Serdar Boztas

While most security projects have focused on fending off attacks coming from outside the organizational boundaries, a real threat has arisen from the people who are inside those pe…

cs.CR2016★ 38 cited

Detecting Anomalous User Behavior Using an Extended Isolation Forest Algorithm: An Enterprise Case Study

Li Sun, Steven Versteeg, Serdar Boztas +1

Anomalous user behavior detection is the core component of many information security systems, such as intrusion detection, insider threat detection and authentication systems. Anom…