Brad Wardman

Information Systems · 2009–2013

A researcher in the Science corpus: 5 papers; trusts 7 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 39 citations into it; #4,400 of 8,771 by trust here, #2,667 by citations
• Signal Processing — 27 citations into it; #5,675 of 7,572 by trust here, #5,570 by citations
• Computer Networks and Communications — 8 citations into it; #8,553 of 9,886 by trust here, #8,191 by citations

Whom Brad Wardman trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Justin Ma
2. Guang Xiang
3. Lawrence K. Saul
4. Jason I. Hong
5. Saeed Abu-Nimeh
6. Lorrie Faith Cranor
7. Yingyu Pan
8. Stefan Savage
9. Markus Jakobsson
10. Geoffrey M. Voelker

Who trusts Brad Wardman overall

1. Kristina Heinonen
2. Igino Corona
3. Srishti Gupta
4. Battista Biggio
5. Yada Zhu
6. Hung Le
7. Samuel Marchal
8. Ponnurangam Kumaraguru
9. Doyen Sahoo
10. Colin Whittaker

Papers from Brad Wardman's perspective

Ordered by how strongly the researchers Brad Wardman trusts endorse each paper. Same corpus, a different order for every researcher.

1. Learning to detect phishing emails
2. Client-Side Defense Against Web-Based Identity Theft
3. A comparison of machine learning techniques for phishing detection (APWG Symposium on Electronic Crime Research)
4. Phinding Phish: An Evaluation of Anti-Phishing Toolbars
5. The battle against phishing: Dynamic Security Skins
6. A framework for detection and measurement of phishing attacks
7. Identifying suspicious URLs: an application of large-scale online learning
8. Protecting people from phishing: the design and evaluation of an embedded training email system (International Conference on Human Factors in Computing Systems)
9. Understanding the network-level behavior of spammers (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
10. Anti-Phishing Phil: the design and evaluation of a game that teaches people not to fall for phish (Symposium On Usable Privacy and Security)

Their papers

• Voice of the customer (2013) — 552 citations
• Clustering Potential Phishing Websites Using DeepMD5 (2012) — 21 citations
• High-performance content-based phishing attack detection (2011) — 49 citations
• Lexical feature based phishing URL detection using online learning (2010) — 231 citations
• An Empirical Analysis of Phishing Blacklists (2009) — 455 citations