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20092026
most citedN-BaIoT: Network-based Detection of IoT Botnet Attacks Using Deep Autoencoders

1.5k citations · 3.1k across the 169 of their papers we have counts for

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Showing 2013Show all

6 papers · 1 filter

cs.SI2013

Data Mining of Online Genealogy Datasets for Revealing Lifespan Patterns in Human Population

Michael Fire, Yuval Elovici

Online genealogy datasets contain extensive information about millions of people and their past and present family connections. This vast amount of data can assist in identifying v…

cs.CY2013

Ethical Considerations when Employing Fake Identities in OSN for Research

Yuval Elovici, Michael Fire, Amir Herzberg +1

Online Social Networks (OSNs) have rapidly become a prominent and widely used service, offering a wealth of personal and sensitive information with significant security and privacy…

cs.SI2013

Facebook Applications' Installation and Removal: A Temporal Analysis

Dima Kagan, Michael Fire, Aviad Elyashar +1

Facebook applications are one of the reasons for Facebook attractiveness. Unfortunately, numerous users are not aware of the fact that many malicious Facebook applications exist. T…

cs.CR2013

ACTIDS: An Active Strategy For Detecting And Localizing Network Attacks

Eitan Menahem, Gabi Nakibly, Yuval Elovici

In this work we investigate a new approach for detecting attacks which aim to degrade the network's Quality of Service (QoS). To this end, a new network-based intrusion detection s…

cs.SI2013★ 5 cited

Friend or Foe? Fake Profile Identification in Online Social Networks

Michael Fire, Dima Kagan, Aviad Elyashar +1

The amount of personal information unwillingly exposed by users on online social networks is staggering, as shown in recent research. Moreover, recent reports indicate that these n…

cs.SI2013★ 11 cited

Organization Mining Using Online Social Networks

Michael Fire, Rami Puzis, Yuval Elovici

Mature social networking services are one of the greatest assets of today's organizations. This valuable asset, however, can also be a threat to an organization's confidentiality.…