A Broad Evaluation of the Tor English Content Ecosystem

Tor is among most well-known dark net in the world. It has noble uses, including as a platform for free speech and information dissemination under the guise of true anonymity, but may be culturally better known as a conduit for criminal activity and as a platform to market illicit goods and data. Past studies on the content of Tor support this notion, but were carried out by targeting popular domains likely to contain illicit content. A survey of past studies may thus not yield a complete evaluation of the content and use of Tor. This work addresses this gap by presenting a broad evaluation of the content of the English Tor ecosystem. We perform a comprehensive crawl of the Tor dark web and, through topic and network analysis, characterize the types of information and services hosted across a broad swath of Tor domains and their hyperlink relational structure. We recover nine domain types defined by the information or service they host and, among other findings, unveil how some types of domains intentionally silo themselves from the rest of Tor. We also present measurements that (regrettably) suggest how marketplaces of illegal drugs and services do emerge as the dominant type of Tor domain. Our study is the product of crawling over 1 million pages from 20,000 Tor seed addresses, yielding a collection of over 150,000 Tor pages. We make a dataset of the intend to make the domain structure publicly available as a dataset at https://github.com/wsu-wacs/TorEnglishContent.Comment: 11 page

Revealing the unseen: how to expose cloud usage while protecting user privacy

Cloud users have little visibility into the performance characteristics and utilization of the physical machines underpinning the virtualized cloud resources they use. This uncertainty forces users and researchers to reverse engineer the inner workings of cloud systems in order to understand and optimize the conditions their applications operate. At Massachusetts Open Cloud (MOC), as a public cloud operator, we'd like to expose the utilization of our physical infrastructure to stop this wasteful effort. Mindful that such exposure can be used maliciously for gaining insight into other user's workloads, in this position paper we argue for the need for an approach that balances openness of the cloud overall with privacy for each tenant inside of it. We believe that this approach can be instantiated via a novel combination of several security and privacy technologies. We discuss the potential benefits, implications of transparency for cloud systems and users, and technical challenges/possibilities.Accepted manuscrip

Quantifying Irregular Geographic Exposure on the Internet

In this work, we examine to what extent the Internet\u27s routing infrastructure needlessly exposes network traffic to nations geographically irrelevant to packet transmission. We quantify what countries are geographically logical to see on a network path traveling between two nations through the use of convex hulls circumscribing major population centers, and then compare that to the nation states observed in over 14.5 billion measured paths. Our results show that 49% of paths unnecessarily expose traffic to at least one nation. We further explore what nations, regions, and ASes expose and benefit from this geographically illogical traffic. As an example, we see that 23% of source/destination pairs located outside of the United States send their traffic through the US, but only 8% of those paths are geographically logical. Finally, we examine what happens when countries exercise both legal and physical control over ASes transiting traffic, gaining access to traffic outside of their geographic borders, but carried by organizations that fall under a particular country\u27s legal jurisdiction. When considering both the physical and legal countries that a path traverses, our results show that over 57% of paths expose traffic to a geographically irrelevant country

Gamma-ray bursts and their use as cosmic probes

Since the launch of the highly successful and ongoing Swift mission, the field of gamma-ray bursts (GRBs) has undergone a revolution. The arcsecond GRB localizations available within just a few minutes of the GRB alert has signified the continual sampling of the GRB evolution through the prompt to afterglow phases revealing unexpected flaring and plateau phases, the first detection of a kilonova coincident with a short GRB, and the identification of samples of low-luminosity, ultra-long, and highly dust extinguished GRBs. The increased numbers of GRB afterglows, GRB-supernova detections, redshifts, and host galaxy associations has greatly improved our understanding of what produces and powers these immense, cosmological explosions. Nevertheless, more high quality data often also reveal greater complexity. In this review, I summarize some of the milestones made in GRB research during the Swift era, and how previous widely accepted theoretical models have had to adapt to accommodate the new wealth of observational data.Comment: Article replaced to match published versio

Identifying Keystone Species in the Human Gut Microbiome from Metagenomic Timeseries using Sparse Linear Regression

Human associated microbial communities exert tremendous influence over human health and disease. With modern metagenomic sequencing methods it is possible to follow the relative abundance of microbes in a community over time. These microbial communities exhibit rich ecological dynamics and an important goal of microbial ecology is to infer the interactions between species from sequence data. Any algorithm for inferring species interactions must overcome three obstacles: 1) a correlation between the abundances of two species does not imply that those species are interacting, 2) the sum constraint on the relative abundances obtained from metagenomic studies makes it difficult to infer the parameters in timeseries models, and 3) errors due to experimental uncertainty, or mis-assignment of sequencing reads into operational taxonomic units, bias inferences of species interactions. Here we introduce an approach, Learning Interactions from MIcrobial Time Series (LIMITS), that overcomes these obstacles. LIMITS uses sparse linear regression with boostrap aggregation to infer a discrete-time Lotka-Volterra model for microbial dynamics. We tested LIMITS on synthetic data and showed that it could reliably infer the topology of the inter-species ecological interactions. We then used LIMITS to characterize the species interactions in the gut microbiomes of two individuals and found that the interaction networks varied significantly between individuals. Furthermore, we found that the interaction networks of the two individuals are dominated by distinct "keystone species", Bacteroides fragilis and Bacteroided stercosis, that have a disproportionate influence on the structure of the gut microbiome even though they are only found in moderate abundance. Based on our results, we hypothesize that the abundances of certain keystone species may be responsible for individuality in the human gut microbiome

Hosting Major International Sports Events in a Country: A Socioeconomic Impact

This research focuses on the impact of sponsoring major sports events concerned with the socioeconomic aspects of Qatar. Context is the hosting of FIFA 2022 in Qatar. A questionnaire has been developed based on the underpinning theory, which included seven dimensions of measuring socioeconomic impact that covered Micro, Meso, Macroeconomic, Employment, Quality of Life, Social Cohesion and Environmental aspects. Questionnaire survey was conducted for a sample size of 126, which included the managers from tourism industry and sponsoring of sports events. The research methodology involved descriptive statistics calculations using MS Excel and SPSS. The response score was collected on a 5-point Likert scale for quantitative measures and the Mean, Standard Deviation, Kurtosis, Skewness and Frequency Distributions were computed for seven dimensions. The responses were later categorized into degrees of agreement with a priori scale to understand the relative impact of sponsoring sports events concerned with socioeconomic aspects. The results have indicated that, the highest impact would be on the creation of Environmental Consciousness among the citizens of Qatar followed by the impact on the Micro, Meso and Macroeconomic aspects of the country. These revelations have led providing suggestions to policy makers, which would be useful particularly in the present situation where Qatar is planning for FIFA 2022

Utilizing Public Blockchains for the Sybil-Resistant Bootstrapping of Distributed Anonymity Services

Distributed anonymity services, such as onion routing networks or cryptocurrency tumblers, promise privacy protection without trusted third parties. While the security of these services is often well-researched, security implications of their required bootstrapping processes are usually neglected: Users either jointly conduct the anonymization themselves, or they need to rely on a set of non-colluding privacy peers. However, the typically small number of privacy peers enable single adversaries to mimic distributed services. We thus present AnonBoot, a Sybil-resistant medium to securely bootstrap distributed anonymity services via public blockchains. AnonBoot enforces that peers periodically create a small proof of work to refresh their eligibility for providing secure anonymity services. A pseudo-random, locally replicable bootstrapping process using on-chain entropy then prevents biasing the election of eligible peers. Our evaluation using Bitcoin as AnonBoot's underlying blockchain shows its feasibility to maintain a trustworthy repository of 1000 peers with only a small storage footprint while supporting arbitrarily large user bases on top of most blockchains.Comment: To be published in the proceedings of the 15th ACM ASIA Conference on Computer and Communications Security (ACM ASIACCS'20

Data Nationalism

A BRICS Internet, the Euro Cloud, the Iranian ¿Halal¿ Internet: Governments across the world eager to increase control over the World Wide Web are tearing it apart. Iran seeks to develop an Internet free of Western influences or domestic dissent. The Australian government places restrictions on health data leaving the country. Russia requires personal information to be stored domestically. Vietnam insists on a local copy of all Vietnamese data. The last century¿s nontariff barriers to goods have reappeared as firewalls blocking international services. Legitimate global anxieties over surveillance and security are justifying governmental measures that break apart the World Wide Web, without enhancing either privacy or security. The issue is critical to the future of international trade and development, and even to the ongoing struggle between democracy and totalitarianism. The theory of this Article expands the conversation about international Internet regulation from efforts to prevent data from flowing in to a country through censorship, to include efforts to prevent data from flowing out through data localization. A simple formula helps demonstrate what is stake: censorship + data localization = total control

State of the art 2015: a literature review of social media intelligence capabilities for counter-terrorism

Overview This paper is a review of how information and insight can be drawn from open social media sources. It focuses on the specific research techniques that have emerged, the capabilities they provide, the possible insights they offer, and the ethical and legal questions they raise. These techniques are considered relevant and valuable in so far as they can help to maintain public safety by preventing terrorism, preparing for it, protecting the public from it and pursuing its perpetrators. The report also considers how far this can be achieved against the backdrop of radically changing technology and public attitudes towards surveillance. This is an updated version of a 2013 report paper on the same subject, State of the Art. Since 2013, there have been significant changes in social media, how it is used by terrorist groups, and the methods being developed to make sense of it.  The paper is structured as follows: Part 1 is an overview of social media use, focused on how it is used by groups of interest to those involved in counter-terrorism. This includes new sections on trends of social media platforms; and a new section on Islamic State (IS). Part 2 provides an introduction to the key approaches of social media intelligence (henceforth ‘SOCMINT’) for counter-terrorism. Part 3 sets out a series of SOCMINT techniques. For each technique a series of capabilities and insights are considered, the validity and reliability of the method is considered, and how they might be applied to counter-terrorism work explored. Part 4 outlines a number of important legal, ethical and practical considerations when undertaking SOCMINT work