Ege Tekiner

TL;DR: In this paper, the authors proposed a highly cost effective and reliable digital forensics framework by exploiting multiple inexpensive blockchain networks as a temporary storage before the data is committed to Ethereum to reduce Ethereum costs, using Merkle trees which hierarchically store hashes of the collected event data from IoT devices.

TL;DR: This paper proposes an accurate and efficient IoT cryptojacking detection mechanism based on network traffic features, which can detect both in-browser and host-based cryptojacked malware and designs several novel experiment scenarios to assess the detection mechanism to cover the current attack surface of the attackers.

TL;DR: This paper proposes a highly cost effective and reliable digital forensics framework by exploiting multiple inexpensive blockchain networks as a temporary storage before the data is committed to Ethereum to reduce Ethereum costs.

TL;DR: In this article, the authors present an in-depth empirical analysis of in-browser cryptomining processes, focusing on the samples explicitly asking for user consent, which they call permissioned cryptominer.