Apache User Authentication
Using a plaintext file to maintain user names and passwords is easy and straightforward. Nevertheless, employing this method with a large number of users causes a lot of processing at the server side to search the file for the credentials in question; this adds to the server load. Moreover, processing has to be done for every request inside the protected area; even though the user only enters their password once, the server has to re-authenticate them on every request due to the stateless nature of HTTP. Therefore, the server does not remember any information about a request once it has finished and must resend the user name and password on each request.
Much faster access is possible using DBM format files. This allows the server to do a very quick lookup of names, without having to read through a large text file. The slight drawback of this method is the complexity of managing DBM files as compared to managing plaintext files. There are various add-on modules which allow user information to be stored in databases. Aside from the DBM format (mod_auth_dbm), user and group lists can be stored in DB format files (mod_auth_db). Full databases can also be used such as mSQL (mod_auth_msql), Postgres95 (mod_auth_pg95) or any DBI-compatible database (mod_auth_dbi).
There are a couple of security considerations regarding the password files managed by htpasswd. First, files containing users' information such as /etc/httpd/users, should be outside the web space of the server—they must not be fetchable by a browser. Secondly, the use of the -b flag with htpasswd as shown in Figure 4, is discouraged since when used, the unencrypted password appears on the screen.
Authentication is vital and necessary for most web servers. Apache has proven its reliability, and has an excellent record of stable performance and trustworthy security. Using Apache's authentication features, we can combine a cost-effective way to secure our documents using the most popular web sever running on Linux.

Ibrahim F. Haddad (ibrahim.haddad@lmc.ericsson.se) is a senior member of technical staff at Ericsson Research Canada based in Montréal. He researches distributed-object technologies and web servers performance at Concordia University as a D.Sc. Candidate. Ibrahim would like to take this opportunity to thank his parents for all their help and support, not to mention the countless sacrifices, in the last twenty-five years.
- « first
- ‹ previous
- 1
- 2
- 3
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Sponsored by AMD
If you already use virtualized infrastructure, you are well on your way to leveraging the power of the cloud. Virtualization offers the promise of limitless resources, but how do you manage that scalability when your DevOps team doesn’t scale? In today’s hypercompetitive markets, fast results can make a difference between leading the pack vs. obsolescence. Organizations need more benefits from cloud computing than just raw resources. They need agility, flexibility, convenience, ROI, and control.
Stackato private Platform-as-a-Service technology from ActiveState extends your private cloud infrastructure by creating a private PaaS to provide on-demand availability, flexibility, control, and ultimately, faster time-to-market for your enterprise.
Sponsored by ActiveState
| Non-Linux FOSS: libnotify, OS X Style | Jun 18, 2013 |
| Containers—Not Virtual Machines—Are the Future Cloud | Jun 17, 2013 |
| Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer | Jun 12, 2013 |
| Weechat, Irssi's Little Brother | Jun 11, 2013 |
| One Tail Just Isn't Enough | Jun 07, 2013 |
| Introduction to MapReduce with Hadoop on Linux | Jun 05, 2013 |
- Containers—Not Virtual Machines—Are the Future Cloud
- Non-Linux FOSS: libnotify, OS X Style
- Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer
- Linux Systems Administrator
- Validate an E-Mail Address with PHP, the Right Way
- Introduction to MapReduce with Hadoop on Linux
- RSS Feeds
- Weechat, Irssi's Little Brother
- New Products
- Tech Tip: Really Simple HTTP Server with Python
Featured Jobs
| Linux Systems Administrator | Houston and Austin, Texas | Host Gator |
| Senior Perl Developer | Austin, Texas | Host Gator |
| Technical Support Rep | Houston and Austin, Texas | Host Gator |
| UX Designer | Austin, Texas | Host Gator |
| Web & UI Developer (JavaScript & j Query) | Austin, Texas | Host Gator |
Free Webinar: Hadoop
How to Build an Optimal Hadoop Cluster to Store and Maintain Unlimited Amounts of Data Using Microservers
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Some of key questions to be discussed are:
- What is the “typical” Hadoop cluster and what should be installed on the different machine types?
- Why should you consider the typical workload patterns when making your hardware decisions?
- Are all microservers created equal for Hadoop deployments?
- How do I plan for expansion if I require more compute, memory, storage or networking?




14 min 44 sec ago
25 min 4 sec ago
30 min 4 sec ago
2 hours 40 min ago
2 hours 41 min ago
3 hours 26 min ago
4 hours 14 min ago
4 hours 38 min ago
6 hours 15 min ago
6 hours 17 min ago