DaSECo '10 2010 - 2nd International Workshop on Defence against Spam in Electronic Communication - DaSECo '10

2nd International Workshop on
Defence against Spam in Electronic Communication
DaSECo ‘10
In conjunction with
DEXA ‘10
www.dexa.org
August 30- September 3, 2010
Bilbao, Spain
The workshop on Defence against Spam in Electronic Communication invites the submission of papers.
Researchers and practitioners are encouraged to submit papers on all aspects of misuse and protection concerning electronic
communication including email, instant messaging, text messaging, and voice over internet protocol. Topics of interest
include novel applications of electronic messaging, abatement of abuses of electronic messaging, spam, spit (spam over
internet telephony), spim (spam over instant messenger), spom (spam over mobile phone), phishing, identity theft via
messaging, viruses, and spyware.
Paper submissions can be either research papers, extended abstracts, industry reports, or law and policy papers.
Submissions from practitioners and vendors are encouraged.
Suggested Topics:
Message filtering, blocking, authentication
- machine learning
- natural language processing
- adversarial learning
- challenge-response
- payment schemes
- disposable addresses
- messaging protocols
- digital signatures
Evaluation
- corpus and benchmark creation
- measures and methodologies
- tests of specific methods or products
Analysis
- economics of spam, spit, spim, spom, phishing, etc.
- abuse tactics and patterns
- legitimate use patterns
- historical data
Social issues
- deducing social networks
- costs and benefits of messaging use and abuse
- other social impacts
Industry
- cooperation for stopping abuse
- messaging and abuse reporting standards
- interoperability
- self-defending networks
Legal issues
- spam, spit, spim, spom and phishing, etc.,
- identity theft
- privacy
- freedom of speech
- digital rights management
- forensics and data retention
Technical aspects
- indexing and efficiency in spam recognition
- spam compression and duplicate recognition