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Abhinav Khattar

dblp:213/8221 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 1Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Graph learning · 100%
Databases, data mining, and information retrieval
1 paper
Data mining · 100%
Network and information security
1 paper
Web and mobile security · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Graph learning
graph neural network
0.312018
Collective Classification of Spam Campaigners on Twitter: A Hierarchical Meta-Path Based Approach · WWW 2018
Data mining › anomaly detection
spam detection
0.312018
Collective Classification of Spam Campaigners on Twitter: A Hierarchical Meta-Path Based Approach · WWW 2018
Web and mobile security
online social network abuse
0.112018
Collective Classification of Spam Campaigners on Twitter: A Hierarchical Meta-Path Based Approach · WWW 2018

Methods — techniques the papers use, named apart from their topics

meta-path · 1.0collective classification · 1.0
YearPublicationVenuePosition
2018 Collective Classification of Spam Campaigners on Twitter: A Hierarchical Meta-Path Based Approach
abstract
Cybercriminals have leveraged the popularity of a large user base available on Online Social Networks~(OSNs) to spread spam campaigns by propagating phishing URLs, attaching malicious contents, etc. However, another kind of spam attacks using phone numbers has recently become prevalent on OSNs, where spammers advertise phone numbers to attract users» attention and convince them to make a call to these phone numbers. The dynamics of phone number based spam is different from URL-based spam due to an inherent trust associated with a phone number. While previous work has proposed strategies to mitigate URL-based spam attacks, phone number based spam attacks have received less attention.
Srishti Gupta 0003, Abhinav Khattar, Arpit Gogia, Ponnurangam Kumaraguru, Tanmoy Chakraborty 0002
WWW2