Big Data. Big Decisions
InformationWeek
Special Coverage Series


Top 3 Tools For Busting Through Firewalls

Can't access a Web site thanks to employer or government censorship? Fortunately, there's a host of tools and techniques that can help you slip through the blockade. Here's an in-depth look at three of the best.

Top 10 Security Stories Of 2010
(click image for larger view)
Slideshow: Top 10 Security Stories Of 2010

An old adage about the Internet is that it "interprets censorship as damage and routes around it." The more you try to restrict access to something, the more ways people find to get to it.

Governments like those in Iran or mainland China place restrictions on the Internet with software, and individuals work their ways around those restrictions with more software. The end result is an arms race: here, a country blocks YouTube or Facebook; within days (or even hours), people inside and outside that country engineer ways to work around the block.

There's no one way to do this, but they all have a few things in common. They require some participation by people on the other side of the firewall, who can allow requests for non-blocked content to be used to deliver blocked content. How they do this varies, but that one technique lies at the heart of just about all efforts to circumvent censorship.

I'm going to look at several of the major software technologies used to perform that kind of circumvention. Some of them require nothing more than installing a simple software package; some are more convoluted. Each of them comes with risks and shortcomings, which in turn also must be worked around.

Tor (The Onion Router)

Tor is nominally used for the sake of anonymity, but also works as a circumvention tool, and its decentralized design makes it resilient to attacks. It started as a U.S. Naval Research Laboratory project but has since been developed by a 501(c)(3) nonprofit, and is open source software available for a variety of platforms. Human Rights Watch, Reporters without Borders, and the United States International Broadcasting Bureau (Voice of America) all advocate using Tor as a way to avoid compromising one's anonymity. With a little care, it can also be used to route around information blocking.

The concept behind Tor is simple enough. Out there are a whole slew of servers that are part of the worldwide Tor network. Connect to one as a proxy, and your Internet requests are routed at random through other servers in the Tor network. Requests between Tor nodes are encrypted. By the time the request emerges from Tor's network and is sent on to the server in question, its origins have been heavily obfuscated. If you want, it is possible to pick a specific entry and exit node, or even to forcibly exclude specific exit nodes.

The advantages ought to be clear. For one, there's no immediate way to tell where the connection is originating from, geographically: a request made in the United States could emerge from the Tor network somewhere in Poland. Another major feature of Tor is the hidden service protocol, which makes it possible to use the Tor cloud to anonymously publish a Web site or provide other network services, although only for people directly connected to the Tor network. Tor also works with just about any Internet application, since it works via the SOCKS proxy interface.

 1 | 2345  | Next Page »


Related Reading


More Insights




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.