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DÏoT: A Crowdsourced Self-learning Approach for Detecting Compromised IoT Devices

PaperCitations, authors & open-access status

DÏoT: A Crowdsourced Self-learning Approach for Detecting Compromised IoT Devices is a paper indexed in ScholarIQ from OpenAlex.

How many citations does DÏoT: A Crowdsourced Self-learning Approach for Detecting Compromised IoT Devices have?

ScholarIQcitation count

DÏoT: A Crowdsourced Self-learning Approach for Detecting Compromised IoT Devices has 39 citations in the OpenAlex counts ScholarIQ stores.

When was DÏoT: A Crowdsourced Self-learning Approach for Detecting Compromised IoT Devices published?

ScholarIQyear

DÏoT: A Crowdsourced Self-learning Approach for Detecting Compromised IoT Devices has 2018 year in the ScholarIQ index.

What is the open-access status of DÏoT: A Crowdsourced Self-learning Approach for Detecting Compromised IoT Devices?

ScholarIQoa status

DÏoT: A Crowdsourced Self-learning Approach for Detecting Compromised IoT Devices has green oa status in the ScholarIQ index.

What is the OpenAlex record for DÏoT: A Crowdsourced Self-learning Approach for Detecting Compromised IoT Devices?

ScholarIQopenalex

The OpenAlex for DÏoT: A Crowdsourced Self-learning Approach for Detecting Compromised IoT Devices is on the source record.

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