Journal ArticleDOI
Inside the Slammer worm
David Moore,Vern Paxson,Stefan Savage,Colleen Shannon,Stuart Staniford,Nicholas Weaver +5 more
- Vol. 1, Iss: 4, pp 33-39
TLDR
The Slammer worm spread so quickly that human response was ineffective, and why was it so effective and what new challenges do this new breed of worm pose?Abstract:
The Slammer worm spread so quickly that human response was ineffective. In January 2003, it packed a benign payload, but its disruptive capacity was surprising. Why was it so effective and what new challenges do this new breed of worm pose?.read more
Citations
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Proceedings ArticleDOI
InFilter: predictive ingress filtering to detect spoofed IP traffic
TL;DR: A system architecture and software implementation based on the InFilter approach that can be used at border routers of large IP networks to detect spoofed IP traffic and had a detection rate of about 80% and a false positive rate of 2% in testbed experiments using Internet traffic and real cyber-attacks.
Proceedings ArticleDOI
TREASURE: Trust Enhanced Security for Cloud Environments
TL;DR: An architecture where different services are hosted on the cloud infrastructure by multiple cloud customers (tenants) and a novel trust enhanced security model for cloud which overcomes the challenges with the current TPM based attestation techniques and efficiently deals with the attacks in the cloud is considered.
Proceedings ArticleDOI
Heuristics for Detecting Botnet Coordinated Attacks
TL;DR: The analyses show that some new features of the coordinated attacks performed by Botnet, e.g., some particular strings contained in packets in downloading malwares, and the common patterns in downloadingmalwares from distributed servers are shown.
Graph-based Worm Detection On Operational Enterprise Networks
TL;DR: It is shown that a graph-based approach to worm detection in an enterprise network can detect a broad range of active worms with a false alarm rate of less than twice per day and is significantly closer to solving this challenge than other published works.
Journal ArticleDOI
A Novel Approach for Network Attack Classification Based on Sequential Questions
TL;DR: An intrusion detection framework and threat grouping schema are proposed on the basis of four sequential questions (Who, Where, How and What) for classifying traditional network attacks in order to identify initiator, source, attack style and seriousness of an attack.
References
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Proceedings Article
Inferring internet denial-of-service activity
TL;DR: This article presents a new technique, called “backscatter analysis,” that provides a conservative estimate of worldwide denial-of-service activity, and believes it is the first to provide quantitative estimates of Internet-wide denial- of- service activity.
Proceedings Article
How to Own the Internet in Your Spare Time
TL;DR: This work develops and evaluates several new, highly virulent possible techniques: hit-list scanning, permutation scanning, self-coordinating scanning, and use of Internet-sized hit-lists (which creates a flash worm).
Proceedings ArticleDOI
Code-Red: a case study on the spread and victims of an internet worm
TL;DR: The experience of the Code-Red worm demonstrates that wide-spread vulnerabilities in Internet hosts can be exploited quickly and dramatically, and that techniques other than host patching are required to mitigate Internet worms.
Proceedings ArticleDOI
Internet quarantine: requirements for containing self-propagating code
TL;DR: The design space of worm containment systems is described using three key parameters - reaction time, containment strategy and deployment scenario - and the lower bounds that any such system must exceed to be useful today are demonstrated.
Journal ArticleDOI
Inferring Internet denial-of-service activity
TL;DR: In this paper, the authors present a new technique, called backscatter analysis, that provides a conservative estimate of worldwide denial-of-service activity, and quantitatively assess the number, duration and focus of attacks, and qualitatively characterize their behavior.