To request access this dataset you will need to login with an IMPACT account. Accounts are free. If you don't have one please register.
This dataset is no longer available and has a current status of 'Withdrawn'.
Please see the catalog for a listing of currently available datasets.

Summary

DS-0380
Backscatter-2008
Dataset
UCSD - Center for Applied Internet Data Analysis
UCSD - Center for Applied Internet Data Analysis
02/20/2008
12/31/2008
38 (lowest rank is 56)

Category & Restrictions

Blackhole Address Space Data
Unrestricted
true

Description


Quarterly DoS backscatter traces

Information useful for longitudinal study of denial-of-service (DoS) attacks.
               This dataset currently consists of IPv4 packets sent by DoS attack victims
               in response to spoofed attack traffic. This backscatter from victims was
               collected by the UCSD Network Telescope. Data collection is planned for one
               week in February, May, August and November in 2008, and the 2 day DITL 2008
               measurement event in March. Possible uses of this data include modeling DoS
               attacks, understanding victim populations, and using real packet traces to
               validate algorithms for detecting or classifying malicious traffic.
               This last use is particularly valuable because it is extremely challenging
               to artificially generate the kind of real-world noise present on the Internet.

Additional Details

128.1GB
true
false
2008, ucsd, center, analysis, applied, backscatter, 380, backscatter-2008, ucsd - center for applied internet data analysis, anonymized, dos, traces, quarterly, real, attack, traffic, victims, attacks, response, network, measurement, blackhole, artificially, consists, dataset, service, malicious, march, ipv4, blackhole address space data, victim, event, noise, february, include, validate, planned, november, generate, day, understanding, extremely, ditl, space, packets, challenging, collected, august, packet, classifying, week, study, algorithms, denial, valuable, populations, telescope, longitudinal, detecting, spoofed, modeling