A Scalable Platform for Enabling the Forensic Investigation of Exploited IoT Devices and Their Generated Unsolicited Activities-Reference-Cited by-同舟云学术

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A Scalable Platform for Enabling the Forensic Investigation of Exploited IoT Devices and Their Generated Unsolicited Activities

Published:2020-04 Issue: Volume:32 Page:300922
ISSN:2666-2817
Container-title:Forensic Science International: Digital Investigation
language:en
Short-container-title:Forensic Science International: Digital Investigation

Author:

Torabi Sadegh,Bou-Harb Elias,Assi Chadi,Debbabi Mourad

Funder

Natural Sciences and Engineering Research Council of Canada

Concordia University

National Science Foundation

Publisher

Elsevier BV

Subject

Law,Medical Laboratory Technology,Computer Science Applications,Information Systems,Pathology and Forensic Medicine

Reference34 articles.

1. Understanding the Mirai botnet;Antonakakis,2017

2. Quantifying the spectrum of denial-of-service attacks through Internet backscatter;Blenn,2017

3. The CAIDA UCSD Real-Time Network Telescope Data. UCSD - Center for Applied Internet Data Analysis;CAIDA,2019

4. Towards automated dynamic analysis for linux-based embedded firmware;Chen,2016

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Survey on Threat Hunting in Enterprise Networks;IEEE Communications Surveys & Tutorials;2023

2. Machine Learning Based Non-intrusive Digital Forensic Service for Smart Homes;IEEE Transactions on Network and Service Management;2022

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