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20192024
most citedStochastic Modeling Approaches for Analyzing Blockchain: A Survey

6 citations · 13 across the 6 of their papers we have counts for

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7 papers · 1 filter

cs.CR2024

MBCT: A Monero-Based Covert Transmission Approach with On-chain Dynamic Session Key Negotiation

Zhenshuai Yue, Haoran Zhu, Xiaolin Chang +3

Traditional covert transmission (CT) approaches have been hindering CT application while blockchain technology offers new avenue. Current blockchain-based CT approaches require off…

cs.CR20231 cited

RSMS: Towards Reliable and Secure Metaverse Service Provision

Yanwei Gong, Xiaolin Chang, Jelena Mišić +2

Establishing and sustaining Metaverse service necessitates an unprecedented scale of resources. This paper considers the deployment of Metaverse service in a cloud-edge resource ar…

cs.CR2023

CRS-FL: Conditional Random Sampling for Communication-Efficient and Privacy-Preserving Federated Learning

Jianhua Wang, Xiaolin Chang, Jelena Mišić +3

Federated Learning (FL), a privacy-oriented distributed ML paradigm, is being gaining great interest in Internet of Things because of its capability to protect participants data pr…

cs.CR2023

Delay Impact on Stubborn Mining Attack Severity in Imperfect Bitcoin Network

Haoran Zhu, Xiaolin Chang, Jelena Mišić +1

Stubborn mining attack greatly downgrades Bitcoin throughput and also benefits malicious miners (attackers). This paper aims to quantify the impact of block receiving delay on stub…

cs.CR20231 cited

Practical Solutions in Fully Homomorphic Encryption -- A Survey Analyzing Existing Acceleration Methods

Yanwei Gong, Xiaolin Chang, Jelena Mišić +3

Fully homomorphic encryption (FHE) has experienced significant development and continuous breakthroughs in theory, enabling its widespread application in various fields, like outso…

cs.CR20224 cited

Android Malware Detection using Feature Ranking of Permissions

Muhammad Suleman Saleem, Jelena Mišić, Vojislav B. Mišić

We investigate the use of Android permissions as the vehicle to allow for quick and effective differentiation between benign and malware apps. To this end, we extract all Android p…