This file was created by the TYPO3 extension bib --- Timezone: CEST Creation date: 2024-04-25 Creation time: 19-53-20 --- Number of references 11 inproceedings 2022_pennekamp_cumul 2022 12 8 RWTH-2022-10811 Anonymous communication on the Internet is about hiding the relationship between communicating parties. At NDSS '16, we presented a new website fingerprinting approach, CUMUL, that utilizes novel features and a simple yet powerful algorithm to attack anonymization networks such as Tor. Based on pattern observation of data flows, this attack aims at identifying the content of encrypted and anonymized connections. Apart from the feature generation and the used classifier, we also provided a large dataset to the research community to study the attack at Internet scale. In this paper, we emphasize the impact of our artifacts by analyzing publications referring to our work with respect to the dataset, feature extraction method, and source code of the implementation. Based on this data, we draw conclusions about the impact of our artifacts on the research field and discuss their influence on related cybersecurity topics. Overall, from 393 unique citations, we discover more than 130 academic references that utilize our artifacts, 61 among them are highly influential (according to SemanticScholar), and at least 35 are from top-ranked security venues. This data underlines the significant relevance and impact of our work as well as of our artifacts in the community and beyond. https://www.comsys.rwth-aachen.de/fileadmin/papers/2022/2022-pennekamp-cumul-artifacts.pdf https://www.acsac.org/2022/program/artifacts_competition/ ACSA Cybersecurity Artifacts Competition and Impact Award at 38th Annual Computer Security Applications Conference (ACSAC '22), December 5-9, 2022, Austin, TX, USA Austin, TX, USA 38th Annual Computer Security Applications Conference (ACSAC '22) December 5-9, 2022 10.18154/RWTH-2022-10811 1 JanPennekamp MartinHenze AndreasZinnen FabianLanze KlausWehrle AndriyPanchenko inproceedings 2021_mitseva_sequences 2021 11 17 2411-2413 Website fingerprinting (WFP) is a special case of traffic analysis, where a passive attacker infers information about the content of encrypted and anonymized connections by observing patterns of data flows. Although modern WFP attacks pose a serious threat to online privacy of users, including Tor users, they usually aim to detect single pages only. By ignoring the browsing behavior of users, the attacker excludes valuable information: users visit multiple pages of a single website consecutively, e.g., by following links. In this paper, we propose two novel methods that can take advantage of the consecutive visits of multiple pages to detect websites. We show that two up to three clicks within a site allow attackers to boost the accuracy by more than 20% and to dramatically increase the threat to users' privacy. We argue that WFP defenses have to consider this new dimension of the attack surface. Traffic Analysis; Website Fingerprinting; Web Privacy https://www.comsys.rwth-aachen.de/fileadmin/papers/2021/2021-mitseva-fingerprinting-sequences.pdf ACM Proceedings of the 28th ACM SIGSAC Conference on Computer and Communications Security (CCS '21), November 15-19, 2021, Seoul, Korea Seoul, Korea November 15-19, 2021 978-1-4503-8454-4/21/11 10.1145/3460120.3485347 1 AsyaMitseva JanPennekamp JohannesLohmöller TorstenZiemann CarlHoerchner KlausWehrle AndriyPanchenko inproceedings 2021_reuter_demo 2021 9 14 Website fingerprinting (WFP) attacks on the anonymity network Tor have become ever more effective. Furthermore, research discovered that proposed defenses are insufficient or cause high overhead. In previous work, we presented a new WFP defense for Tor that incorporates multipath transmissions to repel malicious Tor nodes from conducting WFP attacks. In this demo, we showcase the operation of our traffic splitting defense by visually illustrating the underlying Tor multipath transmission using LED-equipped Raspberry Pis. Electronic Communications of the EASST, Volume 080 Onion Routing; Website Fingerprinting; Multipath Traffic; Privacy https://www.comsys.rwth-aachen.de/fileadmin/papers/2021/2021-reuter-splitting-demo.pdf TU Berlin Proceedings of the 2021 International Conference on Networked Systems (NetSys '21), September 13-16, 2021, Lübeck, Germany Lübeck, Germany September 13-16, 2021 1863-2122 10.14279/tuj.eceasst.80.1151 1 SebastianReuter JensHiller JanPennekamp AndriyPanchenko KlausWehrle inproceedings 2020_delacadena_trafficsliver 2020 11 12 1971-1985 Website fingerprinting (WFP) aims to infer information about the content of encrypted and anonymized connections by observing patterns of data flows based on the size and direction of packets. By collecting traffic traces at a malicious Tor entry node — one of the weakest adversaries in the attacker model of Tor — a passive eavesdropper can leverage the captured meta-data to reveal the websites visited by a Tor user. As recently shown, WFP is significantly more effective and realistic than assumed. Concurrently, former WFP defenses are either infeasible for deployment in real-world settings or defend against specific WFP attacks only. To limit the exposure of Tor users to WFP, we propose novel lightweight WFP defenses, TrafficSliver, which successfully counter today’s WFP classifiers with reasonable bandwidth and latency overheads and, thus, make them attractive candidates for adoption in Tor. Through user-controlled splitting of traffic over multiple Tor entry nodes, TrafficSliver limits the data a single entry node can observe and distorts repeatable traffic patterns exploited by WFP attacks. We first propose a network-layer defense, in which we apply the concept of multipathing entirely within the Tor network. We show that our network-layer defense reduces the accuracy from more than 98% to less than 16% for all state-of-the-art WFP attacks without adding any artificial delays or dummy traffic. We further suggest an elegant client-side application-layer defense, which is independent of the underlying anonymization network. By sending single HTTP requests for different web objects over distinct Tor entry nodes, our application-layer defense reduces the detection rate of WFP classifiers by almost 50 percentage points. Although it offers lower protection than our network-layer defense, it provides a security boost at the cost of a very low implementation overhead and is fully compatible with today’s Tor network. Traffic Analysis; Website Fingerprinting; Privacy; Anonymous Communication; Onion Routing; Web Privacy https://www.comsys.rwth-aachen.de/fileadmin/papers/2020/2020-delacadena-trafficsliver.pdf https://github.com/TrafficSliver ACM Proceedings of the 27th ACM SIGSAC Conference on Computer and Communications Security (CCS '20), November 9-13, 2020, Orlando, FL, USA Virtual Event, USA November 9-13, 2020 978-1-4503-7089-9/20/11 10.1145/3372297.3423351 1 WladimirDe la Cadena AsyaMitseva JensHiller JanPennekamp SebastianReuter JulianFilter KlausWehrle ThomasEngel AndriyPanchenko inproceedings 2019_delacadena_countermeasure 2019 11 12 2533-2535 Website fingerprinting (WFP) is a special type of traffic analysis, which aims to infer the websites visited by a user. Recent studies have shown that WFP targeting Tor users is notably more effective than previously expected. Concurrently, state-of-the-art defenses have been proven to be less effective. In response, we present a novel WFP defense that splits traffic over multiple entry nodes to limit the data a single malicious entry can use. Here, we explore several traffic-splitting strategies to distribute user traffic. We establish that our weighted random strategy dramatically reduces the accuracy from nearly 95% to less than 35% for four state-of-the-art WFP attacks without adding any artificial delays or dummy traffic. https://www.comsys.rwth-aachen.de/fileadmin/papers/2019/2019-delacadena-splitting-defense.pdf ACM Proceedings of the 26th ACM SIGSAC Conference on Computer and Communications Security (CCS '19), November 11-15, 2019, London, United Kingdom London, United Kingdom November 11-15, 2019 978-1-4503-6747-9/19/11 10.1145/3319535.3363249 1 WladimirDe la Cadena AsyaMitseva JanPennekamp JensHiller FabianLanze ThomasEngel KlausWehrle AndriyPanchenko inproceedings 2019-hiller-icnp-tailoringOR 2019 10 10 An increasing number of IoT scenarios involve mobile, resource-constrained IoT devices that rely on untrusted networks for Internet connectivity. In such environments, attackers can derive sensitive private information of IoT device owners, e.g., daily routines or secret supply chain procedures, when sniffing on IoT communication and linking IoT devices and owner. Furthermore, untrusted networks do not provide IoT devices with any protection against attacks from the Internet. Anonymous communication using onion routing provides a well-proven mechanism to keep the relationship between communication partners secret and (optionally) protect against network attacks. However, the application of onion routing is challenged by protocol incompatibilities and demanding cryptographic processing on constrained IoT devices, rendering its use infeasible. To close this gap, we tailor onion routing to the IoT by bridging protocol incompatibilities and offloading expensive cryptographic processing to a router or web server of the IoT device owner. Thus, we realize resource-conserving access control and end-to-end security for IoT devices. To prove applicability, we deploy onion routing for the IoT within the well-established Tor network enabling IoT devices to leverage its resources to achieve the same grade of anonymity as readily available to traditional devices. internet-of-production https://www.comsys.rwth-aachen.de/fileadmin/papers/2019/2019-hiller-tailoring.pdf IEEE Proceedings of the 27th IEEE International Conference on Network Protocols (ICNP '19), October 7-10, 2019, Chicago, IL, USA Chicago, IL, USA 27th IEEE International Conference on Network Protocols (ICNP 2019) 7-10. Oct. 2019 978-1-7281-2700-2 2643-3303 10.1109/ICNP.2019.8888033 1 JensHiller JanPennekamp MarkusDahlmanns MartinHenze AndriyPanchenko KlausWehrle inproceedings 2019_pennekamp_multipath 2019 10 7 Users of an onion routing network, such as Tor, depend on its anonymity properties. However, especially malicious entry nodes, which know the client’s identity, can also observe the whole communication on their link to the client and, thus, conduct several de-anonymization attacks. To limit this exposure and to impede corresponding attacks, we propose to multipath traffic between the client and the middle node to reduce the information an attacker can obtain at a single vantage point. To facilitate the deployment, only clients and selected middle nodes need to implement our approach, which works transparently for the remaining legacy nodes. Furthermore, we let clients control the splitting strategy to prevent any external manipulation. Poster Session https://www.comsys.rwth-aachen.de/fileadmin/papers/2019/2019-pennekamp-multipathing.pdf IEEE Proceedings of the 27th IEEE International Conference on Network Protocols (ICNP '19), October 7-10, 2019, Chicago, IL, USA Chicago, IL, USA 27th IEEE International Conference on Network Protocols (ICNP 2019) 7-10. Oct. 2019 978-1-7281-2700-2 2643-3303 10.1109/ICNP.2019.8888029 1 JanPennekamp JensHiller SebastianReuter WladimirDe la Cadena AsyaMitseva MartinHenze ThomasEngel KlausWehrle AndriyPanchenko inproceedings 2019_pennekamp_doppelganger 2019 5 13 197-205 Public opinion manipulation is a serious threat to society, potentially influencing elections and the political situation even in established democracies. The prevalence of online media and the opportunity for users to express opinions in comments magnifies the problem. Governments, organizations, and companies can exploit this situation for biasing opinions. Typically, they deploy a large number of pseudonyms to create an impression of a crowd that supports specific opinions. Side channel information (such as IP addresses or identities of browsers) often allows a reliable detection of pseudonyms managed by a single person. However, while spoofing and anonymizing data that links these accounts is simple, a linking without is very challenging. In this paper, we evaluate whether stylometric features allow a detection of such doppelgängers within comment sections on news articles. To this end, we adapt a state-of-the-art doppelgängers detector to work on small texts (such as comments) and apply it on three popular news sites in two languages. Our results reveal that detecting potential doppelgängers based on linguistics is a promising approach even when no reliable side channel information is available. Preliminary results following an application in the wild shows indications for doppelgängers in real world data sets. online manipulation; doppelgänger detection; stylometry comtex https://www.comsys.rwth-aachen.de/fileadmin/papers/2019/2019-pennekamp-doppelganger.pdf ACM Companion Proceedings of the 2019 World Wide Web Conference (WWW '19 Companion), 4th Workshop on Computational Methods in Online Misbehavior (CyberSafety '19), May 13–17, 2019, San Francisco, CA, USA San Francisco, California, USA May 13-17, 2019 978-1-4503-6675-5/19/05 10.1145/3308560.3316496 1 JanPennekamp MartinHenze OliverHohlfeld AndriyPanchenko inproceedings 2017-panchenko-wpes-fingerprinting 2017 10 30 https://www.comsys.rwth-aachen.de/fileadmin/papers/2017/2017-panchenko-wpes-fingerprinting.pdf Online ACM Proceedings of the 16th Workshop on Privacy in the Electronic Society (WPES), co-located with the 24th ACM Conference on Computer and Communications Security (CCS), Dallas, TX, USA en 978-1-4503-5175-1 10.1145/3139550.3139564 1 AndriyPanchenko AsyaMitseva MartinHenze FabianLanze KlausWehrle ThomasEngel inproceedings 2016-mitseva-ccs-fingerprinting 2016 10 24 1766-1768 https://www.comsys.rwth-aachen.de/fileadmin/papers/2016/2016-mitseva-ccs-fingerprinting.pdf Online ACM Proceedings of the 23rd ACM Conference on Computer and Communications Security (CCS), Vienna, Austria en 978-1-4503-4139-4 10.1145/2976749.2989054 1 AsyaMitseva AndriyPanchenko FabianLanze MartinHenze KlausWehrle ThomasEngel inproceedings 2016-panchenko-ndss-fingerprinting 2016 2 21 The website fingerprinting attack aims to identify the content (i.e., a webpage accessed by a client) of encrypted and anonymized connections by observing patterns of data flows such as packet size and direction. This attack can be performed by a local passive eavesdropper – one of the weakest adversaries in the attacker model of anonymization networks such as Tor. In this paper, we present a novel website fingerprinting attack. Based on a simple and comprehensible idea, our approach outperforms all state-of-the-art methods in terms of classification accuracy while being computationally dramatically more efficient. In order to evaluate the severity of the website fingerprinting attack in reality, we collected the most representative dataset that has ever been built, where we avoid simplified assumptions made in the related work regarding selection and type of webpages and the size of the universe. Using this data, we explore the practical limits of website fingerprinting at Internet scale. Although our novel approach is by orders of magnitude computationally more efficient and superior in terms of detection accuracy, for the first time we show that no existing method – including our own – scales when applied in realistic settings. With our analysis, we explore neglected aspects of the attack and investigate the realistic probability of success for different strategies a real-world adversary may follow. https://www.comsys.rwth-aachen.de/fileadmin/papers/2016/2016-panchenko-ndss-fingerprinting.pdf https://www.informatik.tu-cottbus.de/~andriy/zwiebelfreunde/ Internet Society Proceedings of the 23rd Annual Network and Distributed System Security Symposium (NDSS '16), February 21-24, 2016, San Diego, CA, USA San Diego, CA, USA February 21-24, 2016 978-1-891562-41-9 10.14722/ndss.2016.23477 1 AndriyPanchenko FabianLanze AndreasZinnen MartinHenze JanPennekamp KlausWehrle ThomasEngel