This spring, the e-business division of the Software and Information Industry Association (SIIA) released a white paper that explores a new method of protecting consumer data and outlines more than a dozen different data security threats facing e-business.
The 27-page white paper, An Electronic Citadel: A Method for Securing Credit Card and Private Consumer Data in e-Business Sites, focuses on the architecture, processes, and benefits of the citadel method to protect consumer and sensitive e-business data.
The paper was written by Tom Arnold, chief technology officer of Cybersource Inc. and chairperson of the Technology Working Group.
The intended readers and users of the paper include security experts, chief information officers, chief technology officers, and a broad range of systems-related personnel from administrators to information systems architects. The paper stresses the need to consider
information security as a multi-faceted system of interacting components rather than single-point solutions that can’t offer the needed protections for sensitive consumer and corporate information.
The citadel analogy is used to describe a method for securing Web site data that’s in direct contrast to the eggshell model for security, where users install a hard outer shell but leave everything soft and squishy on the inside.
A citadel, as the paper describes, was the first use of the “defense in depth” principle. Citadel defenses in the 18th and 19th centuries were based on geometrical shapes and angles that enabled multiple fields of musket firing to cover all approaches to the innermost stone fortress.
“The future of electronic commerce largely rests in the ability of companies to secure consumer and corporate data,” said Fred Hoch, director of the e-business division of SIIA. “The citadel method is a new and extremely strong method of protecting data.”
The paper’s method and system builds in new layers of defense behind the hard outer shell of firewalls and router protections in e-commerce sites. The following recommended precautions (countermeasures) and practices that supplement the Electronic Citadel include:
With these measures in place, the Electronic Citadel system provides another barrier to attacks, using advanced cryptography and effective cryptographic key management practices. The Electronic Citadel model for both the methods and system specifications for managing cryptographic keys enables the secure storage of sensitive data that can always be validated, but places limits on the retrieval of data to a specific lifetime.
The white paper then goes on to describe key processing steps that can take advantage of the system to build in the needed degrees of trust demanded by e-commerce. Processing steps defined include:
Cybersource’s Arnold hopes that a lively comment period on the paper completes with a reference implementation as a utility class library that anyone may use. It’s his intent that his contribution remains in the public domain for good of the Internet and e-business community.
Click here to download your own copy of the Electronic Citadel White Paper.
Mark Merkow writes for eCommerce-Guide.com, an internet.com site, where this story first appeared.
Ethics and Artificial Intelligence: Driving Greater Equality
FEATURE | By James Maguire,
December 16, 2020
AI vs. Machine Learning vs. Deep Learning
FEATURE | By Cynthia Harvey,
December 11, 2020
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
FEATURE | By Samuel Greengard,
November 05, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
FEATURE | By Cynthia Harvey,
October 07, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
Top 10 Machine Learning Companies 2021
FEATURE | By Cynthia Harvey,
September 22, 2020
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
Datamation is the leading industry resource for B2B data professionals and technology buyers. Datamation's focus is on providing insight into the latest trends and innovation in AI, data security, big data, and more, along with in-depth product recommendations and comparisons. More than 1.7M users gain insight and guidance from Datamation every year.
Advertise with TechnologyAdvice on Datamation and our other data and technology-focused platforms.
Advertise with Us
Property of TechnologyAdvice.
© 2025 TechnologyAdvice. All Rights Reserved
Advertiser Disclosure: Some of the products that appear on this
site are from companies from which TechnologyAdvice receives
compensation. This compensation may impact how and where products
appear on this site including, for example, the order in which
they appear. TechnologyAdvice does not include all companies
or all types of products available in the marketplace.