Understanding Passive and Active Service Discovery

Understanding Passive and Active Service Discovery

Bartlett, Genevieve and Heidemann, John and Papadopoulos, Christos
USC/Information Sciences Institute

Genevieve Bartlett, John Heidemann and Christos Papadopoulos 2007. Understanding Passive and Active Service Discovery. Proceedings of the ACM Internet Measurement Conference (San Diego, California, USA, Oct. 2007), to appear.

Abstract

Increasingly, network operators do not directly operate computers on their network, yet are responsible for assessing network vulnerabilities to ensure compliance with laws and policies about information disclosure, and tracking services that affect provisioning. Thus, with decentralized network management, \emphservice discovery becomes an important part of maintaining and protecting computer networks. We explore two approaches to service discovery: \emphactive probing and \emphpassive monitoring. Active probing finds all services currently on the network, except services temporarily unavailable or hidden by firewalls; however, it is often too invasive, especially if used across administrative boundaries. Passive monitoring is typically much slower and can find transient services, but misses services that are idle. We compare the accuracy of passive and active approaches to service discovery and show that they are complimentary, highlighting the need for multiple active scans coupled with long-duration passive monitoring. We find passive monitoring is well suited for quickly finding popular services, finding servers responsible for 99% of incoming connections within minutes. Active scanning is better suited to rapidly finding \emphall servers, which is important for vulnerability detection–one scan finds 98% of services in two hours, missing only a handful. External scans are an unexpected ally to passive monitoring, speeding service discovery by the equivalent of 9–15 days of additional observation. Finally, we show how the use of static or dynamic addresses changes the effectiveness of service discovery, both due to address reuse and VPN effects.

Reference

@inproceedings{Bartlett07d,
  author = {Bartlett, Genevieve and Heidemann, John and Papadopoulos, Christos},
  title = {Understanding Passive and Active Service
                           Discovery},
  booktitle = {Proceedings of the ACM Internet Measurement Conference},
  year = {2007},
  sortdate = {2007-10-01},
  publisher = {ACM},
  address = {San Diego, California, USA},
  month = oct,
  pages = {to appear},
  location = {johnh: pafile},
  keywords = {passive service discovery, active service discovery},
  project = {ant, lander, predict},
  jsubject = {traffic_detection},
  url = {http://www.isi.edu/%7ejohnh/PAPERS/Bartlett07d.html},
  pdfurl = {http://www.isi.edu/%7ejohnh/PAPERS/Bartlett07d.pdf},
  myorganization = {USC/Information Sciences Institute},
  copyrightholder = {ACM},
  copyrightterms = {
  Permission to make digital or hard copies of all or part of this work
  for personal or classroom use is granted without fee provided that
  copies are not made or distributed for profit or commercial advantage
  and that copies bear this notice and the full citation on the first
  page. To copy otherwise, to republish, to post on servers or to
  redistribute to lists, requires prior specific permission and/or a
  fee.
  }
}

Copyright

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee.