Throttling viruses: restricting propagation to defeat malicious mobile code
By Matthew M. Williamson. 18th Annual Computer Security Applications Conference, 2002. Proceedings., 2002
414 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Information Systems, Signal Processing
View Paper: https://www.semanticscholar.org/paper/507e3ea7e3e7cf563906d7240a2f170c2075dccb
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Pavel Laskov
- Konrad Rieck
- Blaine Nelson
- Salvatore J. Stolfo
- Christopher Krügel
- Wenke Lee
- Battista Biggio
- Engin Kirda
In Information Systems
- Blaine Nelson
- Christopher Krügel
- Giovanni Vigna
- Stefan Savage
- Engin Kirda
- Geoffrey M. Voelker
- Herbert Bos
- Chuanxiong Guo
In Signal Processing
- Pavel Laskov
- Konrad Rieck
- Salvatore J. Stolfo
- Christopher Krügel
- Engin Kirda
- Giovanni Vigna
- Battista Biggio
- Wenke Lee
Citations in the corpus
- Revisiting Traffic Anomaly Detection Using Software Defined Networking (2011, methodology): “Unlike TRW-CB and Rate Limiting, Maximum Entropy relies on examining every packet in order to build packet class distributions every t seconds.”
- Polymorphic Worm Detection Using Structural Information of Executables (2005, background): “One technique is based on rate limits for outgoing connections [28].”
- Argos: an emulator for fingerprinting zero-day attacks for advertised honeypots with automatic signature generation (2006, background): “Existing automated response systems tend to incur a fairly large ratio of false positives in attack detection and use of signatures [43, 37, 23, 15, 27].”
- Behavior of Machine Learning Algorithms in Adversarial Environments (2010, methodology): “In the final stage of detection, messages deemed to be viral by our naive Bayes classifier were used to make a quarantine decision building on strategies by Williamson [2002] to throttle the spread of viruses.”
- A taxonomy of DDoS attack and DDoS defense mechanisms (2004, background): “Examples of system security mechanisms include monitored access to the machine [71], applications that download and install security patches, firewall systems [49], intrusion detection systems [6], and worm defense systems [73].”
- DDoS Attack Detection and Mitigation Using SDN: Methods, Practices, and Solutions (2017, background): “It utilizes a threshold to limit the number of new connection attempts within a certain time period [64,65].”
- A Behavior-Based Approach to Securing Email Systems (2003, background): “A recent paper [14] notes the same strategy.”
- Internet quarantine: requirements for containing self-propagating code (2003, background): “A more compelling approach for slowing the spread of a worm is the per-host " throttling " described by Williamson [17].”
- Shield: vulnerability-driven network filters for preventing known vulnerability exploits (2004, background): “Rate-limiting [48] is another containment method that throttles the sending rate at an infected end host.”