DShield
| Owner | Johannes Ullrich[1] |
|---|---|
| URL | www |
| Launched | 30 November 2000 |
DShield is a community-based collaborative firewall log correlation system.[2] It receives logs from volunteers worldwide and uses them to analyze attack trends. It is used as the data collection engine behind the SANS Internet Storm Center (ISC). DShield was officially launched end of November 2000 by Johannes Ullrich.[1] Since then, it has grown to be a dominating attack correlation engine with worldwide coverage.
DShield is regularly used by the media to cover current events.[citation needed] Analysis provided by DShield has been used in the early detection of several worms, like "Ramen", Code Red, "Leaves", "SQL Snake" and more. DShield data is regularly used by researchers to analyze attack patterns.[citation needed]
The goal of the DShield project is to allow access to its correlated information to the public at no charge to raise awareness and provide accurate and current snapshots of internet attacks. Several data feeds are provided to users to either include in their own web sites or to use as an aide to analyze events.
See also
[edit]- SANS Institute (SysAdmin, Audit, Network and Security – SANS)
- Comparison of network monitoring systems
- ShieldsUP
- SPEWS
References
[edit]- ^ a b Lemos, Robert (2000-12-06). "The Net's new neighbourhood watch". Networking. CBS Interactive. ZDNet. Retrieved 2020-04-04.
- ^ Kaelin, Mark (2000-12-27). "Defending with DShield". TechRepublic. CBS Interactive. Retrieved 2020-04-04.
When defending your network against crackers, knowledge is power. DShield.org helps net admins gain the knowledge they need to safeguard their companies.
Further reading
[edit]- Holden, Greg (2007). "Part II, Chapter 6: Optimizing the Shopping Experience". Starting an Online Business For Dummies (Fifth ed.). Hoboken, NJ, USA: Wiley Publishing, Inc. p. 163. ISBN 9780470107393.
- Rash, Michael (2007). Samuell, Christina (ed.). Linux Firewalls: Attack Detection and Response with iptables, psad, and fwsnort. San Francisco, CA, USA: No Starch Press, Inc. / William Pollack. pp. 123-130. ISBN 978-1593271411.
- Fung, Carol; Boutaba, Raouf (2017). "3.4 Selected Intrusion detection networks". Intrusion detection networks: a key to collaborative security. CRC Press. p. 30. ISBN 9781138198890. OCLC 1065286709.
