Installing XMind 8 on Fedora 27

XMind is a well-known cross-platform mind mapping application. Installing the latest version of XMind (version 8) on Linux is, unfortunately, more complicated than it should be. In this post, I’ll show how to get XMind 8 running on Fedora 27.

So why is installing XMind more complicated than it should be? For reasons unknown, the makers of XMind stopped using well-known Linux package mechanisms with this version of the software, providing only a ZIP archive to download and extract. (Previous versions at least provided a Debian package.) While the ZIP archive includes a very simplistic “setup script”, the script does nothing more than install a few packages and install some fonts, and was written expressly for Debian-based systems. If you extract the archive and place the files outside of your home directory (as would be typical for installing an application on most desktop Linux distributions), you’ll run into problems with permissions. Finally, the application itself is extraordinarily brittle with regards to file locations and such; it’s easy to break it by simply moving the wrong file.

Through some research and some trial-and-error, I finally arrived at a configuration for XMind 8 on Fedora 27 that satisfies a couple criteria:

  1. Continue reading

Video: Avaya [now Extreme] Data Center Solutions

I haven’t done an update on what Avaya was doing in the data center space for years, so I asked my good friend Roger Lapuh to do a short presentation on:

  • Avaya’s data center switches and their Shortest Path Bridging (SPB) fabric;
  • SPB fabric features;
  • Interesting use cases enabled by SPB fabric.

The videos are now available to everyone with a valid ipSpace.net account – the easiest way to get it is a trial subscription.

Watch the videos

OpenStack SDN – OpenDaylight With BGP VPN

For the last 5 years OpenStack has been the training ground for a lot of emerging DC SDN solutions. OpenStack integration use case was one of the most compelling and easiest to implement thanks to the limited and suboptimal implementation of the native networking stack. Today, in 2017, features like L2 population, local ARP responder, L2 gateway integration, distributed routing and service function chaining have all become available in vanilla OpenStack and don’t require a proprietary SDN controller anymore. Admittedly, some of the features are still not (and may never be) implemented in the most optimal way (e.g. DVR). This is where new opensource SDN controllers, the likes of OVN and Dragonflow, step in to provide scalable, elegant and efficient implementation of these advanced networking features. However one major feature still remains outside of the scope of a lot of these new opensource SDN projects, and that is data centre gateway (DC-GW) integration. Let me start by explain why you would need this feature in the first place.

Optimal forwarding of North-South traffic

OpenStack Neutron and VMware NSX, both being pure software solutions, rely on a special type of node to forward traffic between VMs Continue reading

Linux PiCore on Raspberry Pi – First Steps

The blog post contains notes about the installation of piCore Linux on Raspberry Pi 3 computer. The related topic is well known, discussed by many similar posts however the article represents my own copy & paste reference for later usage.

The first generation of Raspberry Pi 1 has been with us since February 2012. Recently in version 3B, the Pi3 is equipped with 1.2 GHz 64-bit quad-core ARM Cortex-A53 processor, 1 GB of RAM and it has integrated 2.4 GHz WiFi 802.11n (150 Mbit/s), Bluetooth 4.1 (24 Mbit/s) on Broadcom BCM43438 chip. It also provides the integrated 10/100 Ethernet port. These factors along with the cheap price (~ 35 US), small size (~ 85.60mm x 56mm x 21mm), low weight (~ 45g) and low power consumption (maximum 1.34 A or 6.7 W under stress when peripherals and WiFi are connected) makes this single-board computer ideal candidate for use in the recent Internet of Things (IoT) world.

Raspberry Pi can run several OSs built for ARM architecture such as Windows 10 IoT Core, Raspbian (based on Debian), Ubuntu Mate and many others. The Linux distributions offer either full desktop environment or they are released Continue reading

Peeking into your Linux packages

Do you ever wonder how many thousands of packages are installed on your Linux system? And, yes, I said "thousands." Even a fairly modest Linux system is likely to have well over a thousand packages installed. And there are many ways to get details on what they are.First, to get a quick count of your installed packages on a Debian-based distribution such as Ubuntu, use the command apt list --installed like this:$ apt list --installed | wc -l 2067 This number is actually one too high because the output contains "Listing..." as its first line. This command would be more accurate:$ apt list --installed | grep -v "^Listing" | wc -l 2066 To get some details on what all these packages are, browse the list like this:To read this article in full, please click here

Help Make the Internet Open to All: Join SIG Women!

When we talk about women and technology, we need to talk data. In the United States, a recent report by the National Center for Women and Information Technology highlighted that only 26% of the workforce in the computer field is made up of women. In addition, a survey by Silicon Valley Bank revealed that 68% of startups do not have women on their board. In India, women make up just 30% of the workforce in the technology industry. In many European countries, the wage gap between men and women is present in technological positions. In Latin America, the proportion of women studying in computer careers is low. In addition, shortcomings in Internet access makes it difficult for women of all ages to use the technology in Africa.

Increasing access, skills, and leadership of women and girls in ICT has enormous potential for improving their health and emancipating them through access to information, education and trade opportunities, strengthening not only families and communities, but also national economies and global society as a whole.

In order to speak on a daily basis and to make the problem visible, we considered it necessary to create a Special Interest Group to help change those statistics Continue reading

Inside the infamous Mirai IoT Botnet: A Retrospective Analysis

Inside the infamous Mirai IoT Botnet: A Retrospective Analysis

Inside the infamous Mirai IoT Botnet: A Retrospective Analysis

This is a guest post by Elie Bursztein who writes about security and anti-abuse research. It was first published on his blog and has been lightly edited.

This post provides a retrospective analysis of Mirai — the infamous Internet-of-Things botnet that took down major websites via massive distributed denial-of-service using hundreds of thousands of compromised Internet-Of-Things devices. This research was conducted by a team of researchers from Cloudflare (Jaime Cochran, Nick Sullivan), Georgia Tech, Google, Akamai, the University of Illinois, the University of Michigan, and Merit Network and resulted in a paper published at USENIX Security 2017.

Inside the infamous Mirai IoT Botnet: A Retrospective Analysis

At its peak in September 2016, Mirai temporarily crippled several high-profile services such as OVH, Dyn, and Krebs on Security via massive distributed Denial of service attacks (DDoS). OVH reported that these attacks exceeded 1 Tbps—the largest on public record.

What’s remarkable about these record-breaking attacks is they were carried out via small, innocuous Internet-of-Things (IoT) devices like home routers, air-quality monitors, and personal surveillance cameras. At its peak, Mirai infected over 600,000 vulnerable IoT devices, according to our measurements.

Inside the infamous Mirai IoT Botnet: A Retrospective Analysis
This blog post follows the timeline above

Inside the infamous Mirai IoT Botnet: A Retrospective Analysis

Inside the infamous Mirai IoT Botnet: A Retrospective Analysis

Inside the infamous Mirai IoT Botnet: A Retrospective Analysis

This is a guest post by Elie Bursztein who writes about security and anti-abuse research. It was first published on his blog and has been lightly edited.

This post provides a retrospective analysis of Mirai — the infamous Internet-of-Things botnet that took down major websites via massive distributed denial-of-service using hundreds of thousands of compromised Internet-Of-Things devices. This research was conducted by a team of researchers from Cloudflare, Georgia Tech, Google, Akamai, the University of Illinois, the University of Michigan, and Merit Network and resulted in a paper published at USENIX Security 2017.

Inside the infamous Mirai IoT Botnet: A Retrospective Analysis

At its peak in September 2016, Mirai temporarily crippled several high-profile services such as OVH, Dyn, and Krebs on Security via massive distributed Denial of service attacks (DDoS). OVH reported that these attacks exceeded 1 Tbps—the largest on public record.

What’s remarkable about these record-breaking attacks is they were carried out via small, innocuous Internet-of-Things (IoT) devices like home routers, air-quality monitors, and personal surveillance cameras. At its peak, Mirai infected over 600,000 vulnerable IoT devices, according to our measurements.

Inside the infamous Mirai IoT Botnet: A Retrospective Analysis This blog post follows the timeline above

IDG Contributor Network: Leveraging reconfigurable computing for smarter cybersecurity

The reality for security teams today is that they are facing challenges on multiple fronts. The number of security breaches is increasing, which means the number of security alerts to be examined each day is increasing. The attacks are becoming more sophisticated and multi-dimensional. The number of cybersecurity solutions available continues to grow, which requires time and effort to understand. The amount of data in the network is snowballing, which means the cybersecurity infrastructure needs to be constantly updated to keep up. What’s worse is that all this is happening in the midst of new networking paradigms related to cloud, virtualization and software-defined data centers.To read this article in full, please click here

IDG Contributor Network: Leveraging reconfigurable computing for smarter cybersecurity

The reality for security teams today is that they are facing challenges on multiple fronts. The number of security breaches is increasing, which means the number of security alerts to be examined each day is increasing. The attacks are becoming more sophisticated and multi-dimensional. The number of cybersecurity solutions available continues to grow, which requires time and effort to understand. The amount of data in the network is snowballing, which means the cybersecurity infrastructure needs to be constantly updated to keep up. What’s worse is that all this is happening in the midst of new networking paradigms related to cloud, virtualization and software-defined data centers.To read this article in full, please click here

IDG Contributor Network: Leveraging reconfigurable computing for smarter cybersecurity

The reality for security teams today is that they are facing challenges on multiple fronts. The number of security breaches is increasing, which means the number of security alerts to be examined each day is increasing. The attacks are becoming more sophisticated and multi-dimensional. The number of cybersecurity solutions available continues to grow, which requires time and effort to understand. The amount of data in the network is snowballing, which means the cybersecurity infrastructure needs to be constantly updated to keep up. What’s worse is that all this is happening in the midst of new networking paradigms related to cloud, virtualization and software-defined data centers.To read this article in full, please click here

Enterprises Challenged By The Many Guises Of AI

Artificial intelligence and machine learning, which found solid footing among the hyperscalers and is now expanding into the HPC community, are at the top of the list of new technologies that enterprises want to embrace for all kinds of reasons. But it all boils down to the same problem: Sorting through the increasing amounts of data coming into their environments and finding patterns that will help them to run their businesses more efficiently, to make better businesses decisions, and ultimately to make more money.

Enterprises are increasingly experimenting with the various frameworks and tools that are on the market …

Enterprises Challenged By The Many Guises Of AI was written by Jeffrey Burt at The Next Platform.

‘net Neutrality Collection

I’ve run across a lot of interesting perspectives on ‘net Neutrality; to make things easier, I’ve pulled them onto a single page. For anyone who’s interested in hearing every side of the issue, this is a good collection of articles to read through.

The page is here.

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