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Jehangir Kazi

dblp:227/7150 · 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

Computer networks · 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.

Network and information security
1 paper
Web and mobile security · 44% Network security · 44% Authentication and access control · 13%

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

TopicWeightPapersLastEvidence papers
Network security › protocol security › DNS security
domain abuse
0.312018
It's All in the Name: Why Some URLs are More Vulnerable to Typosquatting · INFOCOM 2018
Web and mobile security › web attacks
typosquatting
0.312018
It's All in the Name: Why Some URLs are More Vulnerable to Typosquatting · INFOCOM 2018
Authentication and access control
user authentication
0.112018
It's All in the Name: Why Some URLs are More Vulnerable to Typosquatting · INFOCOM 2018

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

typographical model · 0.3cross-validation · 0.3
YearPublicationVenuePosition
2018 It's All in the Name: Why Some URLs are More Vulnerable to Typosquatting
abstract
Typosquatting is a blackhat practice that relies on human error and low-cost domain registrations to hijack legitimate traffic from well-established websites. The technique is typically used for phishing, driving traffic towards competitors or disseminating indecent or malicious content and as such remains a concern for businesses. We take a fresh new look at this well-studied phenomenon to explore why some URLs are more vulnerable to typing mistakes than others. We explore the relationship between human hand anatomy, keyboard layouts and typing mistakes using various URL datasets. We create an extensive user-centric typographical model and compute a Hardness Quotient (likelihood of mistyping) for each URL using a quantitative measure for finger and hand effort. Furthermore, our model predicts the most likely typos for each URL which can then be defensively registered. Cross-validation against actual URL and DNS datasets suggests that this is a meaningful and effective defense mechanism.
Rashid Tahir, Ali Raza 0003, Jehangir Kazi, Fareed Zaffar, Chris Kanich, Matthew Caesar 0001
INFOCOM4