Posts by Category: Deep Web Research

Updated> Deep Web Research and Discovery Resources 2015

August 01, 2015

Updated> Deep Web Research and Discovery Resources 2015
http://www.DeepWeb.us/

I have just updated my white paper link dataset compilation titled Deep Web Research and Discovery Resources 2015 and it is now a 49 page 344KB PDF document available directly from the above URL. This update verified all links as well as reviewed all resources covered. Currently this has been downloaded over 2,500,000+ times!

August 1, 2015

This research is powered by Subject Tracer Bots™ available from the Virtual Private Library™.

©2015 Marcus P. Zillman, M.S., A.M.H.A.

1125 views

Updated> Deep Web Research and Discovery Resources 2015

July 01, 2015

Updated> Deep Web Research and Discovery Resources 2015
http://www.DeepWeb.us/

I have just updated my white paper link dataset compilation titled Deep Web Research and Discovery Resources 2015 and it is now a 49 page 335KB PDF document available directly from the above URL. This update verified all links as well as reviewed all resources covered. Currently this has been downloaded over 2,500,000+ times!

July 1, 2015

This research is powered by Subject Tracer Bots™ available from the Virtual Private Library™.

©2015 Marcus P. Zillman, M.S., A.M.H.A.

1217 views

Updated> Deep Web Research and Discovery Resources 2015

June 01, 2015

Updated> Deep Web Research and Discovery Resources 2015
http://www.DeepWeb.us/

I have just updated my white paper link dataset compilation titled Deep Web Research and Discovery Resources 2015 and it is now a 49 page 335KB PDF document available directly from the above URL. This update verified all links as well as reviewed all resources covered. Currently this has been downloaded over 2,500,000+ times!

June 1, 2015

This research is powered by Subject Tracer Bots™ available from the Virtual Private Library™.

©2015 Marcus P. Zillman, M.S., A.M.H.A.

1102 views

Updated> Deep Web Research and Discovery Resources 2015

May 01, 2015

Updated> Deep Web Research and Discovery Resources 2015
http://www.DeepWeb.us/

I have just updated my white paper link dataset compilation titled Deep Web Research and Discovery Resources 2015 and it is now a 49 page 335KB PDF document available directly from the above URL. This update verified all links as well as reviewed all resources covered. Currently this has been downloaded over 2,500,000+ times!

May 1, 2015

This research is powered by Subject Tracer Bots™ available from the Virtual Private Library™.

©2015 Marcus P. Zillman, M.S., A.M.H.A.

1054 views

Updated> Deep Web Research and Discovery Resources 2015

April 01, 2015

Updated> Deep Web Research and Discovery Resources 2015
http://www.DeepWeb.us/

I have just updated my white paper link dataset complilation titled Deep Web Research and Discovery Resources 2015 and it is now a 47 page 324KB PDF document available directly from the above URL. This update verified all links as well as reviewed all resources covered. Currently this has been downloaded over 2,500,000+ times!

April 1, 2015

This research is powered by Subject Tracer Bots™ available from the Virtual Private Library™.

©2015 Marcus P. Zillman, M.S., A.M.H.A.

1099 views

The Invisible Internet Project (I2P)

April 01, 2015

The Invisible Internet Project (I2P)
https://geti2p.net/en/

The I2P network provides strong privacy protections for communication over the Internet. Many activities that would risk your privacy on the public Internet can be conducted anonymously inside I2P. I2P is an anonymous overlay network – a network within a network. It is intended to protect communication from dragnet surveillance and monitoring by third parties such as ISPs. I2P is used by many people who care about their privacy: activists, oppressed people, journalists and whistleblowers, as well as the average person.No network can be “perfectly anonymous”. The continued goal of I2P is to make attacks more and more difficult to mount. Its anonymity will get stronger as the size of the network increases and with ongoing academic review. I2P is available on desktops, embedded systems (like the Raspberry Pi) and Android phones. Help spread the word! Features include: 1) Email: Integrated web mail interface, plugin for serverless email; 2) Web browsing: Anonymous websites, gateways to and from the public Internet; 3) Blogging and forums: Blogging and Syndie plugins; 4) Website hosting: Integrated anonymous web server; 5) Real-time chat: Instant messaging and IRC clients; 6) File sharing: ED2K and Gnutella clients, integrated BitTorrent client; and 7) Decentralized file storage: Tahoe-LAFS distributed filesystem plugin. This will be added to Privacy Resources Subject Tracer™. This will be added to Deep Web Research and Discovery Resources 2015 white paper. This will be added to the tools section of Research Resources Subject Tracer™ Information Blog.

1404 views

An Up-To-Date Layman’s Guide To Accessing The Deep Web

March 23, 2015

An Up-To-Date Layman’s Guide To Accessing The Deep Web
http://www.fastcolabs.com/3026989/an-up-to-date-laymans-guide-to-accessing-the-deep-web

A nice article and guide about accessing the deep web by Jenna Kagel. This will be added to my Deep Web Research and Discovery Resources 2015 white paper.

1484 views

Open Vulnerability Assessment System (OpenVAS)

March 21, 2015

Open Vulnerability Assessment System (OpenVAS)
http://www.darknet.org.uk/2015/01/openvas-7-released-open-source-vulnerability-scanner/

The Open Vulnerability Assessment System (OpenVAS) is a framework of several services and tools offering a comprehensive and powerful vulnerability scanning and vulnerability management solution. The actual security scanner is accompanied with a daily updated feed of Network Vulnerability Tests (NVTs), over 35,000 in total (as of April 2014). The OpenVAS Manager is the central service that consolidates plain vulnerability scanning into a full vulnerability management solution. The Manager controls the Scanner via OTP (OpenVAS Transfer Protocol) and itself offers the XML-based, stateless OpenVAS Management Protocol (OMP). All intelligence is implemented in the Manager so that it is possible to implement various lean clients that will behave consistently e.g. with regard to filtering or sorting scan results. The Manager also controls a SQL database (sqlite-based) where all configuration and scan result data is centrally stored. Finally, Manager also handles user management includiung access control with groups and roles. Still today it’s pretty much the only fully fledged Open Source vulnerability scanner out there. This will be added to Deep Web Research and Discovery Resources 2015.

1470 views

Updated> Deep Web Research and Discovery Resources 2015

March 02, 2015

Updated> Deep Web Research and Discovery Resources 2015
http://www.DeepWeb.us/

I have just updated my white paper link dataset complilation titled Deep Web Research and Discovery Resources 2015 and it is now a 47 page 323KB PDF document available directly from the above URL. This update verified all links as well as reviewed all resources covered. Currently this has been downloaded over 2,500,000+ times!

March 1, 2015

This research is powered by Subject Tracer Bots™ available from the Virtual Private Library™.

©2015 Marcus P. Zillman, M.S., A.M.H.A.

1167 views

DeepDive – Analyze Data On a Deeper Level Than Ever Before

February 17, 2015

DeepDive – Analyze Data On a Deeper Level Than Ever Before
http://deepdive.stanford.edu/

DeepDive is a new type of system that enables developers to analyze data on a deeper level than ever before. DeepDive is a trained system: it uses machine learning techniques to leverage on domain-specific knowledge and incorporates user feedback to improve the quality of its analysis. DeepDive differs from traditional systems in several ways: a) DeepDive is aware that data is often noisy and imprecise: names are misspelled, natural language is ambiguous, and humans make mistakes. Taking such imprecisions into account, DeepDive computes calibrated probabilities for every assertion it makes. For example, if DeepDive produces a fact with probability 0.9 it means the fact is 90% likely to be true; b) DeepDive is able to use large amounts of data from a variety of sources. Applications built using DeepDive have extracted data from millions of documents, web pages, PDFs, tables, and figures; c) DeepDive allows developers to use their knowledge of a given domain to improve the quality of the results by writing simple rules that inform the inference (learning) process. DeepDive can also take into account user feedback on the correctness of the predictions, with the goal of improving the predictions; d) DeepDive is able to use the data to learn “distantly”. In contrast, most machine learning systems require tedious training for each prediction. In fact, many DeepDive applications, especially at early stages, need no traditional training data at all; and e) DeepDive’s secret is a scalable, high-performance inference and learning engine. For the past few years, we have been working to make the underlying algorithms run as fast as possible. The techniques pioneered in this project are part of commercial and open source tools including MADlib, Impala, a product from Oracle, and low-level techniques, such as Hogwild!. They have also been included in Microsoft’s Adam. Examples of DeepDive applications include: 1) PaleoDeepDive – A knowledge base for Paleobiologists; 2) GeoDeepDive – Extracting dark data from geology journal articles; and 3) Wisci – Enriching Wikipedia with structured data. DeepDive is project led by Christopher Ré at Stanford University. This will added to the tools section of Research Resources Subject Tracer™ Information Blog. This will be added to Deep Web Research and Discovery Resources 2015. This will be added to Knowledge Discovery Resources Subject Tracer™. This will be added to Data Mining Resources Subject Tracer™.

1553 views