Data mining for detecting Bitcoin Ponzi schemes

Soon after its introduction in 2009, Bitcoin has been adopted by cyber-criminals, which rely on its pseudonymity to implement virtually untraceable scams. One of the typical scams that operate on Bitcoin are the so-called Ponzi schemes. These are fraudulent investments which repay users with the funds invested by new users that join the scheme, and implode when it is no longer possible to find new investments. Despite being illegal in many countries, Ponzi schemes are now proliferating on Bitcoin, and they keep alluring new victims, who are plundered of millions of dollars. We apply data mining techniques to detect Bitcoin addresses related to Ponzi schemes. Our starting point is a dataset of features of real-world Ponzi schemes, that we construct by analysing, on the Bitcoin blockchain, the transactions used to perform the scams. We use this dataset to experiment with various machine learning algorithms, and we assess their effectiveness through standard validation protocols and performance metrics. The best of the classifiers we have experimented can identify most of the Ponzi schemes in the dataset, with a low number of false positives

Using Multibeam Echosounders for Hydrographic Surveying in the Water Column: Estimating Wreck Least Depths

Wreck superstructure can extend into the water column and pose a danger to navigation if the least depth is not accurately portrayed to mariners. NOAA has several methods available to acquire a wreck least depth: lead line, wire drag, diver investigation, side scan shadow length, single beam bathymetry, and multibeam bathymetry. Previous studies have demonstrated that the bottom detection algorithm can fail to locate a wreck mast that is evident in the water column data. Modern multibeam sonars can record water column data in addition to bottom detections. NOAA’s current Hydrographic Specifications do not require water column collection; the best practice is to collect additional bathymetry data during wreck developments. Several multibeam bathymetry and multibeam water column datasets collected by NOAA vessels are evaluated and the wreck least depth results are compared to previous international field trials. A workflow to extract filtered and sidelobe suppressed water column point clouds is presented using currently available software packages. This paper explores the challenges encountered with water column data collection and processing and finds that analysis of water column data provides an improvement to finding wreck least depths, in some cases

Place and time in activity area analysis: a study of elevated contexts used for artifact curation at the Ceren site, El Salvador.

Sin resume

A Three-dimensional ray tracing simulation of a synthetic aperture ground penetrating radar system

Ground Penetrating Radar (GPR) is a useful tool for imaging the area below the Earth\u27s surface. GPR works on the same principle as traditional radar, evaluating the electromagnetic returns reflected from an object or scene of interest to determine characteristics of the object that reflected the signal. Synthetic Aperture Radar (SAR) is a technique which combines radar returns of a given scene collected at several positions. By compiling the information contained in the returns, an image of a scene can be generated. Combining these two concepts allows us to create an image of an underground scene. Air Force Research Lab, Rome, NY developed a ground penetrating, SAR system with a resolution of approximately three feet capable of penetrating to depths of 150-160 feet into the ground. In order to assess the results obtained from this system, a simulation was needed to generate expected returns from a user-defined synthetic scene. Ray-tracing is a simulation technique that is frequently used to model radar and imaging systems. In the ray-tracing model, the transmitted radar signal is simulated by a number of straight lines, or rays, which propagate through the scene according to the principles of electromagnetic theory. The data carried with each ray can be used to generate a simulated radar return at the receiver. This thesis describes a ray-tracing simulator, which was created to work in conjunction with the Rome Labs GPR system. The ray-tracing simulation models the transmissions and reflections from faceted target models using Snell\u27s law and the Law of Reflection. The results obtained demonstrate the effects that different scene orientations have upon the images generated by the Rome Labs system

Johnson Space Center Research and Technology 1993 Annual Report

Johnson Space Center research and technology accomplishments during fiscal year 1993 are described and principle researchers and technologists are identified as contacts for further information. Each of the four sections gives a summary of overall progress in a major discipline, followed by detailed, illustrated descriptions of significant tasks. The four disciplines are Life Sciences, Human Support Technology, Solar Systems Sciences, and Space Systems Technology. The report is intended for technical and management audiences throughout the NASA and worldwide aerospace community. An index lists project titles, funding codes, and principal investigators

Representing archaeological uncertainty in cultural informatics

This thesis sets out to explore, describe, quantify, and visualise uncertainty in a cultural informatics context, with a focus on archaeological reconstructions. For quite some time, archaeologists and heritage experts have been criticising the often toorealistic appearance of three-dimensional reconstructions. They have been highlighting one of the unique features of archaeology: the information we have on our heritage will always be incomplete. This incompleteness should be reflected in digitised reconstructions of the past. This criticism is the driving force behind this thesis. The research examines archaeological theory and inferential process and provides insight into computer visualisation. It describes how these two areas, of archaeology and computer graphics, have formed a useful, but often tumultuous, relationship through the years. By examining the uncertainty background of disciplines such as GIS, medicine, and law, the thesis postulates that archaeological visualisation, in order to mature, must move towards archaeological knowledge visualisation. Three sequential areas are proposed through this thesis for the initial exploration of archaeological uncertainty: identification, quantification and modelling. The main contributions of the thesis lie in those three areas. Firstly, through the innovative design, distribution, and analysis of a questionnaire, the thesis identifies the importance of uncertainty in archaeological interpretation and discovers potential preferences among different evidence types. Secondly, the thesis uniquely analyses and evaluates, in relation to archaeological uncertainty, three different belief quantification models. The varying ways that these mathematical models work, are also evaluated through simulated experiments. Comparison of results indicates significant convergence between the models. Thirdly, a novel approach to archaeological uncertainty and evidence conflict visualisation is presented, influenced by information visualisation schemes. Lastly, suggestions for future semantic extensions to this research are presented through the design and development of new plugins to a search engine