Castellano · Deutsch · Ελληνικά · English · Français · Italiano · Nederlands · Português brasileiro · Pусский
The CSRC provides a searchable database of resources on the topic of counter-surveillance, with a focus on targeted surveillance against people who have things to hide. We want to help anarchists and other rebels acquire a practical understanding of the surveillance threats they may face in their struggles and in their lives. We prefer resources written by friends and understandable without prior technical knowledge.
You have something to add? A resource needs to be updated? You want to translate the website? Something else?
Contact us at csrc@riseup.net (PGP)
Contact us at csrc@riseup.net (PGP)
Language
Topic
Digital surveillance
(61)
Mobile phones
(48)
Video surveillance
(32)
Security culture
(25)
DNA
(23)
Police files
(14)
IMSI catchers
(13)
Hidden devices
(12)
Fingerprints
(10)
Direct action
(9)
Clandestinity
(6)
Borders
(5)
Targeted malware
(4)
Origin
Friends in jail
(3)
Type - Academic paper (5)
by Deutsches Polizeiblatt
"Eine Diskussion polizeilicher Taktiken im Hinblick auf sich ausbreitende Brandstiftungen an PKW in Hamburg sowie Berlin, mit einem besonderen Fokus auf sowohl Präventionsstrategien, als auch Ermittlungsansätze der Bullen."
Download
Origin
State institution
Topics
Direct action, Other physical traces
Type
Academic paper
Date added
21 July 2021
by University of Massachusetts Amherst
"Flow correlation is the core technique used in a multitude of deanonymization attacks on Tor. Despite the importance of flow correlation attacks on Tor, existing flow correlation techniques are considered to be ineffective and unreliable in linking Tor flows when applied at a large scale [...]. In this paper, we show that, unfortunately, flow correlation attacks can be conducted on Tor traffic with drastically higher accuracies than before by leveraging emerging learning mechanisms."
Download
Origin
Independent researchers
Topics
Digital surveillance, Traffic correlation
Type
Academic paper
Date added
7 May 2021
by Konstantin Müller
"Tor is an anonymity network designed for interactive applications such as Web browsing or instant messaging. The network consists of voluntarily operated nodes distributed around the world and routes user traffic over three randomly chosen nodes in order to conceal which destinations a user is accessing. If an attacker can control or observe the nodes where traffic is entering and leaving the network, one can correlate traffic and confirm that a user connected to a particular destination, for instance a Web site. Currently, Tor does not directly defend against such end-to-end confirmation attacks, because proposed defences put too much load onto the network."
Download
Origin
Independent researchers
Topics
Digital surveillance, Traffic correlation
Type
Academic paper
Date added
7 May 2021
by Tao Wang and Ian Goldberg
"Website fingerprinting allows a local, passive observer monitoring a web-browsing client's encrypted channel to determine her web activity. Previous attacks have shown that website fingerprinting could be a threat to anonymity networks such as Tor under laboratory conditions. [...] With our techniques, we are able to build the first website fingerprinting system that can operate directly on packet sequences collected in the wild."
Download
Origin
Independent researchers
Topics
Digital surveillance, Traffic correlation
Type
Academic paper
Date added
7 May 2021
by U.S. Naval Research Laboratory, Washington DC and Georgetown University, Washington DC
"Tor is a volunteer-operated anonymity network that is estimated to protect the privacy of hundreds of thousands of daily users. However, Tor is known to be insecure against an adversary that can observe a user's traffic entering and exiting the anonymity network. Quite simple and efficient techniques can correlate traffic at these separate locations by taking advantage of identifying traffic patterns. As a result, the user and his destination may be identified, completely subverting the protocol's security goals."
Download
Origin
State institution
Topics
Digital surveillance, Traffic correlation
Type
Academic paper
Date added
7 May 2021