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1. Web-ARM: A Web-Based Interface for the Automatic Construction of QM/MM Models of Rhodopsins

   https://doi.org/10.1021/acs.jcim.9b00615  

   Pedraza-González, Laura ; Marín, María Del ; Jorge, Alejandro N. ; Ruck, Tyler D. ; Yang, Xuchun ; Valentini, Alessio ; Olivucci, Massimo ; De Vico, Luca ( March 2020 , Journal of Chemical Information and Modeling)
2. Linking Personally Identifiable Information from the Dark Web to the Surface Web: A Deep Entity Resolution Approach

   https://doi.org/10.1109/ICDMW51313.2020.00072  

   Lin, Fangyu ; Liu, Yizhi ; Ebrahimi, Mohammadreza ; Ahmad-Post, Zara ; Hu, James Lee ; Xin, Jingyu ; Samtani, Sagar ; Li, Weifeng ; Chen, Hsinchun ( November 2020 , International Conference on Data Mining Workshops (ICDMW))

   null (Ed.)

   The information privacy of the Internet users has become a major societal concern. The rapid growth of online services increases the risk of unauthorized access to Personally Identifiable Information (PII) of at-risk populations, who are unaware of their PII exposure. To proactively identify online at-risk populations and increase their privacy awareness, it is crucial to conduct a holistic privacy risk assessment across the internet. Current privacy risk assessment studies are limited to a single platform within either the surface web or the dark web. A comprehensive privacy risk assessment requires matching exposed PII on heterogeneous online platforms across the surface web and the dark web. However, due to the incompleteness and inaccuracy of PII records in each platform, linking the exposed PII to users is a non-trivial task. While Entity Resolution (ER) techniques can be used to facilitate this task, they often require ad-hoc, manual rule development and feature engineering. Recently, Deep Learning (DL)-based ER has outperformed manual entity matching rules by automatically extracting prominent features from incomplete or inaccurate records. In this study, we enhance the existing privacy risk assessment with a DL-based ER method, namely Multi-Context Attention (MCA), to comprehensively evaluate individuals’ PII exposure across the different online platforms in the dark web and surface web. Evaluation against benchmark ER models indicates the efficacy of MCA. Using MCA on a random sample of data breach victims in the dark web, we are able to identify 4.3% of the victims on the surface web platforms and calculate their privacy risk scores. 

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3. On Landing and Internal Web Pages: The Strange Case of Jekyll and Hyde in Web Performance Measurement

   https://doi.org/10.1145/3419394.3423626  

   Aqeel, Waqar ; Chandrasekaran, Balakrishnan ; Feldmann, Anja ; Maggs, Bruce M. ( October 2020 , IMC '20: Proceedings of the ACM Internet Measurement Conference)

   There is a rich body of literature on measuring and optimizing nearly every aspect of the web, including characterizing the structure and content of web pages, devising new techniques to load pages quickly, and evaluating such techniques. Virtually all of this prior work used a single page, namely the landing page (i.e., root document, "/"), of each web site as the representative of all pages on that site. In this paper, we characterize the differences between landing and internal (i.e., non-root) pages of 1000 web sites to demonstrate that the structure and content of internal pages differ substantially from those of landing pages, as well as from one another. We review more than a hundred studies published at top-tier networking conferences between 2015 and 2019, and highlight how, in light of these differences, the insights and claims of nearly two-thirds of the relevant studies would need to be revised for them to apply to internal pages. Going forward, we urge the networking community to include internal pages for measuring and optimizing the web. This recommendation, however, poses a non-trivial challenge: How do we select a set of representative internal web pages from a web site? To address the challenge, we have developed Hispar, a "top list" of 100,000 pages updated weekly comprising both the landing pages and internal pages of around 2000 web sites. We make Hispar and the tools to recreate or customize it publicly available. 

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4. Mobile Application Web API Reconnaissance: Web-to-Mobile Inconsistencies & Vulnerabilities

   https://doi.org/10.1109/SP.2018.00039  

   Abner Mendoza, Guofei Gu ( January 2018 , 2018 IEEE Symposium on Security and Privacy (S&P'18))
5. How does the Dark Web Influence Human (and Sex) Trafficking? What Security Implementations are Involved in the Dark Web?

   Williams, K. ; Muhammad, J. ( January 2021 , ADMI 2021: The Symposium of Computing at Minority Institutions)

   null (Ed.)

   This paper is exploring the connection between human trafficking in the dark web. It also looks into the different variations as to how people are trafficked and who is more likely to be trafficked. The surveys that were conducted is to mainly see current knowledge of everyday people on what they personally knew about the connection between trafficking and the dark web. 

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