Categories
Announcements Students

student recruiting for Fall 2016

ANT will be looking for one (or perhaps two) strong PhD students interested in our areas of research to start at USC in Fall 2016. If you’re interested in working with our research group, please apply to our PhD program (the deadline is December 15, 2015 and the CS department has application information).

For MS students at USC, we sometimes to directed research projects, usually as part of CSci551 or CSci651–if you’re interested, please read our webpage with specific MS-student advice.

For undergraduates interested in research, please see our webpage with specific undgraduate-student advice.

Categories
Papers Publications

new conference paper “Detecting Malicious Activity with DNS Backscatter”

The paper “Detecting Malicious Activity with DNS Backscatter” will appear at the ACM Internet Measurements Conference in October 2015 in Tokyo, Japan.  A copy is available at http://www.isi.edu/~johnh/PAPERS/Fukuda15a.pdf).

How newtork activity generates DNS backscatter that is visible at authority servers. (Figure 1 from [Fukuda15a]).
How newtork activity generates DNS backscatter that is visible at authority servers. (Figure 1 from [Fukuda15a]).
From the abstract:

Network-wide activity is when one computer (the originator) touches many others (the targets). Motives for activity may be benign (mailing lists, CDNs, and research scanning), malicious (spammers and scanners for security vulnerabilities), or perhaps indeterminate (ad trackers). Knowledge of malicious activity may help anticipate attacks, and understanding benign activity may set a baseline or characterize growth. This paper identifies DNS backscatter as a new source of information about network-wide activity. Backscatter is the reverse DNS queries caused when targets or middleboxes automatically look up the domain name of the originator. Queries are visible to the authoritative DNS servers that handle reverse DNS. While the fraction of backscatter they see depends on the server’s location in the DNS hierarchy, we show that activity that touches many targets appear even in sampled observations. We use information about the queriers to classify originator activity using machine-learning. Our algorithm has reasonable precision (70-80%) as shown by data from three different organizations operating DNS servers at the root or country-level. Using this technique we examine nine months of activity from one authority to identify trends in scanning, identifying bursts corresponding to Heartbleed and broad and continuous scanning of ssh.

The work in this paper is by Kensuke Fukuda (NII/Sokendai) and John Heidemann (USC/ISI) and was begun when Fukuda-san was a visiting scholar at USC/ISI.  Kensuke Fukuda’s work in this paper is partially funded by Young Researcher Overseas Visit Program by Sokendai, JSPS Kakenhi, and the Strategic International Collaborative R&D Promotion Project of the Ministry of Internal Affairs and Communication in Japan, and by the European Union Seventh Framework Programme.  John Heidemann’s work is partially supported by US DHS S&T, Cyber Security division.

Some of the datasets in this paper are available to researchers, either from the authors or through DNS-OARC.  We list DNS backscatter datasets and methods to obtain them at https://ant.isi.edu/datasets/dns_backscatter/index.html.

 

Categories
Collaborations Social

thanks to visiting scholar Kensuke Fukuda

We would like to thank Kensuke Fukuda for joining us as a visiting scholar from September 2014 to January 2015.  It was great having Fukuda-san join us from the National Institute of Informatics in Japan and share is interest in network measurement and DNS.

Watch here for details about the technical results of his visit.  For now though, a photo of our going-away lunch with Kenuske, his family, and most of rest of the ANT lab taken in January 2015.

The going away lunch for Kensuke Fukuda (fifth from the right), celebrating his visiting as a scholar, with the ANT lab.
The going away lunch for Kensuke Fukuda (fifth from the right), celebrating his visiting as a scholar, with the ANT lab.
Categories
Students

congratulations to Romello Goodman for his summer undergrad internship

I would to thank Romello Goodman for his summer internship at ANT, as part of the USC SURE (Viterbi Summer Undergraduate Research Experience) program.   Romello interned with us as part of his studies at Cal Lutheran (Thousand Oaks, California) where he is an undergraduate student in computer science.

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Romello Goodman with his poster about his reverse-DNS crawling work, at the SURE poster session.

Romello’s project was developing a reverse DNS crawler for IPv4 to provide bulk domain name data that feeds into other research projects such as our Internet census work.  He explored several approaches and his code is running today crawling the whole Internet.  We have used other sources of DNS data in the past–we look forward to his approaches providing a regularly updated dataset for evaluation.

We expect to make datasets from his research available in the future as they are completed.  His software is currently available.

His research at ISI was jointly advised by Yuri Pradkin and John Heidemann.

Categories
Announcements

website refresh

The new ANT web home page
The new ANT web home page

After more than ten years of hand-coded, mostly-themed HTML, we’ve finally revamped our website with Jekyll and moved it to our own server at https://ant.isi.edu/.  We love producing papers, software, and datasets, and we now finally automate the tedious task cross-referencing these across our pages.  It also brings more consistent theming, and our server brings HTTPS for better privacy.

Thanks to Calvin Ardi for kicking this off, and to almost everyone in the group for pitching in to go over old pages.

Categories
Students

congratulations to Xun Fan for his new PhD

I would like to congratulate Dr. Xun Fan for defending his PhD in May 2015 and completing his doctoral dissertation “Enabling Efficient Service Enumeration Through Smart Selection of Measurements” in July 2015.

Xun Fan (left) and John Heidemann, after Xun's PhD defense.
Xun Fan (left) and John Heidemann, after Xun’s PhD defense.

From the abstract:

The Internet is becoming more and more important in our daily lives. Both the government and industry invest in the growth of the Internet, bringing more users to the world of networks. As the Internet grows, researchers and operators need to track and understand the behavior of global Internet services to achieve smooth operation. Active measurements are often used to study behavior of large Internet service, and efficient service enumeration is required. For example, studies of Internet topology may need active probing to all visible network prefixes; monitoring large replicated service requires periodical enumeration of all service replicas. To achieve efficient service enumeration, it is important to select probing sources and destinations wisely. However, there are challenges for making smart selection of probing sources and destinations. Prior methods to select probing destinations are either inefficient or hard to maintain. Enumerating replicas of large Internet services often requires many widely distributed probing sources. Current measurement platforms don’t have enough probing sources to approach complete enumeration of large services.

This dissertation makes the thesis statement that smart selection of probing sources and destinations enables efficient enumeration of global Internet services to track and understand their behavior. We present three studies to demonstrate this thesis statement. First, we propose new automated approach to generate a list of destination IP addresses that enables efficient enumeration of Internet edge links. Second, we show that using large number of widely distributed open resolvers enables efficient enumeration of anycast nodes which helps study abnormal behavior of anycast DNS services. In our last study, we efficiently enumerate Front-End (FE) Clusters of Content Delivery Networks (CDNs) and use the efficient enumeration to track and understand the dynamics of user-to-FE Cluster mapping of large CDNs. We achieve the efficient enumeration of CDN FE Clusters by selecting probing sources from a large set of open resolvers. Our selected probing sources have smaller number of open resolvers but provide same coverage on CDN FE Cluster as the larger set.

In addition to our direct results, our work has also been used by several published studies to track and understand the behavior of Internet and large network services. These studies not only support our thesis as additional examples but also suggest this thesis can further benefit many other studies that need efficient service enumeration to track and understand behavior of global Internet services.

Categories
Publications Technical Report

new technical report “Poster: Lightweight Content-based Phishing Detection”

We released a new technical report “Poster: Lightweight Content-based Phishing Detection”, ISI-TR-698, available at http://www.isi.edu/publications/trpublic/files/tr-698.pdf.

The poster abstract and poster (included as part of the technical report) appeared at the poster session at the 36th IEEE Symposium on Security and Privacy in May 2015 in San Jose, CA, USA.

We have released an alpha version of our extension and source code here: http://www.isi.edu/ant/software/phish/.
We would greatly appreciate any help and feedback in testing our plugin!

From the abstract:

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Our browser extension hashes the content of a visited page and compares the hashes with a set of known good hashes. If the number of matches exceeds a threshold, the website is suspected as phish and an alert is displayed to the user.

Increasing use of Internet banking and shopping by a broad spectrum of users results in greater potential profits from phishing attacks via websites that masquerade as legitimate sites to trick users into sharing passwords or financial information. Most browsers today detect potential phishing with URL blacklists; while effective at stopping previously known threats, blacklists must react to new threats as they are discovered, leaving users vulnerable for a period of time. Alternatively, whitelists can be used to identify “known-good” websites so that off-list sites (to include possible phish) can never be accessed, but are too limited for many users. Our goal is proactive detection of phishing websites with neither the delay of blacklist identification nor the strict constraints of whitelists. Our approach is to list known phishing targets, index the content at their correct sites, and then look for this content to appear at incorrect sites. Our insight is that cryptographic hashing of page contents allows for efficient bulk identification of content reuse at phishing sites. Our contribution is a system to detect phish by comparing hashes of visited websites to the hashes of the original, known good, legitimate website. We implement our approach as a browser extension in Google Chrome and show that our algorithms detect a majority of phish, even with minimal countermeasures to page obfuscation. A small number of alpha users have been using the extension without issues for several weeks, and we will be releasing our extension and source code upon publication.

Categories
Papers Publications

new conference paper “Connection-Oriented DNS to Improve Privacy and Security” in Oakland 2015

The paper “Connection-Oriented DNS to Improve Privacy and Security” will appear at the 36th IEEE Symposium on Security and Privacy in May 2015 in San Jose, CA, USA  (available at http://www.isi.edu/~liangzhu/papers/Zhu15b.pdf)

From the abstract:end_to_end_model_n_7

The Domain Name System (DNS) seems ideal for connectionless UDP, yet this choice results in challenges of eavesdropping that compromises privacy, source-address spoofing that simplifies denial-of-service (DoS) attacks on the server and third parties, injection attacks that exploit fragmentation, and reply-size limits that constrain key sizes and policy choices. We propose T-DNS to address these problems. It uses TCP to smoothly support large payloads and to mitigate spoofing and amplification for DoS. T-DNS uses transport-layer security (TLS) to provide privacy from users to their DNS resolvers and optionally to authoritative servers. TCP and TLS are hardly novel, and expectations about DNS suggest connections will balloon client latency and overwhelm server with state. Our contribution is to show that T-DNS significantly improves security and privacy: TCP prevents denial-of-service (DoS) amplification against others, reduces the effects of DoS on the server, and simplifies policy choices about key size. TLS protects against eavesdroppers to the recursive resolver. Our second contribution is to show that with careful implementation choices, these benefits come at only modest cost: end-to-end latency from TLS to the recursive resolver is only about 9% slower when UDP is used to the authoritative server, and 22% slower with TCP to the authoritative. With diverse traces we show that connection reuse can be frequent (60–95% for stub and recursive resolvers, although half that for authoritative servers), and after connection establishment, experiments show that TCP and TLS latency is equivalent to UDP. With conservative timeouts (20 s at authoritative servers and 60 s elsewhere) and estimated per-connection memory, we show that server memory requirements match current hardware: a large recursive resolver may have 24k active connections requiring about 3.6 GB additional RAM. Good performance requires key design and implementation decisions we identify: query pipelining, out-of-order responses, TCP fast-open and TLS connection resumption, and plausible timeouts.

The work in the paper is by Liang Zhu, Zi Hu and John Heidemann (USC/ISI), Duane Wessels and Allison Mankin (both of Verisign Labs), and Nikita Somaiya (USC/ISI).  Earlier versions of this paper were released as ISI-TR-688 and ISI-TR-693; this paper adds results and supercedes that work.

The data in this paper is available to researchers at no cost on request. Please see T-DNS-experiments-20140324 at dataset page.

Categories
Papers Publications

new workshop paper “Privacy Principles for Sharing Cyber Security Data” in IWPE 15

The paper “Privacy Principles for Sharing Cyber Security Data” (available at https://www.isi.edu/~calvin/papers/Fisk15a.pdf) will appear at the International Workshop on Privacy Engineering (co-located with IEEE Symposium on Security and Privacy) on May 21, 2015 in San Jose, California.

From the abstract:

Sharing cyber security data across organizational boundaries brings both privacy risks in the exposure of personal information and data, and organizational risk in disclosing internal information. These risks occur as information leaks in network traffic or logs, and also in queries made across organizations. They are also complicated by the trade-offs in privacy preservation and utility present in anonymization to manage disclosure. In this paper, we define three principles that guide sharing security information across organizations: Least Disclosure, Qualitative Evaluation, and Forward Progress. We then discuss engineering approaches that apply these principles to a distributed security system. Application of these principles can reduce the risk of data exposure and help manage trust requirements for data sharing, helping to meet our goal of balancing privacy, organizational risk, and the ability to better respond to security with shared information.

The work in the paper is by Gina Fisk (LANL), Calvin Ardi (USC/ISI), Neale Pickett (LANL), John Heidemann (USC/ISI), Mike Fisk (LANL), and Christos Papadopoulos (Colorado State). This work is supported by DHS S&T, Cyber Security division.

Categories
Papers Publications

new workshop paper “Assessing Affinity Between Users and CDN Sites” in TMA 2015

The paper “Assessing Affinity Between Users and CDN Sites” (available at http://www.isi.edu/~xunfan/research/Fan15a.pdf) will appear at the Traffic Monitoring and Analysis Workshop in April 2015 in Barcelona, Spain.

From the abstract:

count_cid_per_clientLarge web services employ CDNs to improve user performance. CDNs improve performance by serving users from nearby FrontEnd (FE) Clusters. They also spread users across FE Clusters when one is overloaded or unavailable and others have unused capacity. Our paper is the first to study the dynamics of the user-to-FE Cluster mapping for Google and Akamai from a large range of client prefixes. We measure how 32,000 prefixes associate with FE Clusters in their CDNs every 15 minutes for more than a month. We study geographic and latency effects of mapping changes, showing that 50–70% of prefixes switch between FE Clusters that are very distant from each other (more than 1,000 km), and that these shifts sometimes (28–40% of the time) result in large latency shifts (100 ms or more). Most prefixes see large latencies only briefly, but a few (2–5%) see high latency much of the time. We also find that many prefixes are directed to several countries over the course of a month, complicating questions of jurisdiction.

Citation: Xun Fan, Ethan Katz-Bassett and John Heidemann.Assessing Affinity Between Users and CDN Sites. To appear in Traffic Monitoring and Analysis Workshop. Barcelona, Spain. April, 2015.

All data in this paper is available to researchers at no cost on request. Please see our CDN affinity dataset webpage.

This research is partially sponsored by the Department of Homeland Security (DHS) Science and Technology Directorate, HSARPA, Cyber Security Division, BAA 11-01-RIKA and Air Force Re-search Laboratory, Information Directorate under agreement number FA8750-12-2-0344, NSF CNS-1351100, and via SPAWAR Systems Center Pacific under Contract No. N66001-13-C-3001. The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwith-standing any copyright notation thereon. The views contained herein are those of the authors and
do not necessarily represent those of DHS or the U.S. Government.