Ross J. Anderson

Information Systems · 2001–2012

A researcher in the Science corpus: 8 papers; trusts 12 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

Whom Ross J. Anderson trusts overall

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

  1. Whitfield Diffie
  2. Hal R. Varian
  3. R. Rivest
  4. Haowen Chan
  5. John G. Daugman
  6. Martin E. Hellman
  7. Donggang Liu
  8. Adrian Perrig
  9. Mark Newman
  10. Adi Shamir

Who trusts Ross J. Anderson overall

  1. Ioannis Agrafiotis
  2. Tyler W. Moore
  3. Cormac Herley
  4. Jens Grossklags
  5. Kjell Hausken
  6. Eric Rescorla
  7. Alessandro Acquisti
  8. Lawrence A. Gordon
  9. Ran Canetti
  10. Mark Luk

Papers from Ross J. Anderson's perspective

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

  1. A method for obtaining digital signatures and public-key cryptosystems
  2. A pairwise key pre-distribution scheme for wireless sensor networks (Conference on Computer and Communications Security)
  3. System Reliability and Free Riding (Economics of Information Security)
  4. Random key predistribution schemes for sensor networks (2003 Symposium on Security and Privacy, 2003.)
  5. LEAP: efficient security mechanisms for large-scale distributed sensor networks (Conference on Computer and Communications Security)
  6. Why information security is hard - an economic perspective (Seventeenth Annual Computer Security Applications Conference)
  7. Establishing pairwise keys in distributed sensor networks (Conference on Computer and Communications Security)
  8. Location-based pairwise key establishments for static sensor networks (ACM Workshop on Security of ad hoc and Sensor Networks)
  9. Ariadne: A Secure On-Demand Routing Protocol for Ad Hoc Networks (ACM/IEEE International Conference on Mobile Computing and Networking)
  10. The economic cost of publicly announced information security breaches: empirical evidence from the stock market (Journal of computing and security)

Their papers