Demo Data from VLDB 2026 / reviewers in the wild / expert
Jehangir Kazi
dblp:227/7150
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network security › protocol security › DNS security
domain abuse |
0.3 | 1 | 2018 | It's All in the Name: Why Some URLs are More Vulnerable to Typosquatting · INFOCOM 2018 |
Web and mobile security › web attacks
typosquatting |
0.3 | 1 | 2018 | It's All in the Name: Why Some URLs are More Vulnerable to Typosquatting · INFOCOM 2018 |
Authentication and access control
user authentication |
0.1 | 1 | 2018 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | It's All in the Name: Why Some URLs are More Vulnerable to TyposquattingabstractTyposquatting 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 |
INFOCOM | 4 |