Security in the Internet of Things is a fairly common concern these days - you know, Heartbleed, toasters, that kind of thing - but you may not even have considered the greatest threat to your connected devices: classic 1990s first person shooters. That's the scenario presented in this recent experiment from Context Information Security. By taking advantage of a web interface that require no user authentication, the Context team managed to get Doom up and running on a Canon Pixma printer. Obviously Doom is not the point in itself, so much as an illustration of the vulnerability, but it definitely gets the idea across. According to Michael Jordon at Context, the vulnerability was fairly serious: At first glance the functionality seems to be relatively benign, you could print out hundreds of test pages and use up all the ink and paper, so what? The issue is with the firmware update process. While you can trigger a firmware update you can also change the web proxy settings and the DNS server. If you can change these then you can redirect where the printer goes to check for a new firmware. So what protection does Canon use to prevent a malicious person from providing a malicious firmware? In a nutshell - nothing... Jordon's post goes into detail on how the encryption was broken. Canon was contacted and informed of the problem, and responded that it would be fixed, but Jordon warns that it's not a unique scenario. While this particular technique is not currently a common concern, it demonstrates the reality of security concerns when it comes to IoT devices. Once everything is connected, how many devices will be vulnerable? How confident can we be that the creators of these devices will be cognizant of these issues? As a potential catch-all solution, Context offers a strange bit of advice: Context recommends that you do not put your wireless printers on the Internet, or any other ‘Internet of Things’ device. So, there you go - one way to be sure. The Internet of Things can't help but be secure if you get rid of that whole "Internet" part.
if you've been looking forward to intel's edison development platform since it was announced, your time has come. at the idf 2014 keynote a few days ago, edison was released. intel has brought us iot. it's a slick little package. you can't read about it anywhere without hearing about how small it is - it's the size of a postage stamp, you see. it's small! (via anandtech ) if it's the specs you're looking for, intel can help . edison includes: ...a 22-nm intel® atom™ soc, formerly silvermont that includes a dual core, dual threaded cpu at 500 mhz and a 32-bit intel® quark™ processor mcu at 100 mhz... [and] 40 gpios and includes: 1 gb lpddr3, 4 gb emmc, and dual-band wifi and bluetooth® low energy... and it supports: ...development with arduino* and c/c++, followed by node.js, python, rtos, and visual programming support in the near future. it'll be retailing for $50. that's a pretty manageable hit to take in your iot budget - after all, it's just 1/7th the price of that shiny new apple watch .
IoT needs speed, reliability, and energy efficiency that isn’t guaranteed in a desktop environment. Let's look at how to choose the right real-time operating system.
Discover how IoT is changing energy management, optimizing efficiency, and sustainability. Learn smart energy strategies to cut costs and reduce waste.
Istio makes it easier to scale workloads in Kubernetes across multicloud environments. Learn how Istio can help different IT teams and understand its architecture and benefits.
Refining your IIoT design is a key part of building strong cybersecurity resilience in the network architecture. Here's how to add security to every layer.
In this article, we will delve deeper into the concept of network virtualization, its benefits, and the various technologies and protocols used in its implementation.
Compare Apache Kafka and Pulsar, highlighting unique features and core distinctions. It aims to provide insight into mechanisms and inform decision-making.
Learn outer loop practices in production using AWS Lambda and DynamoDB in part 2 on making serverless Java for dynamic data processing with a NoSQL database.
This article discusses the Python dictionary use cases in data engineering as a powerful tool and data structure to perform tasks efficiently and accurately.
Instead of pooling real-time and offline data after they are fully ready for queries, we use an OLAP engine to share part of the pre-query computation burden.
Water resource management is the need of the hour, and conventional methods are not going to be enough. Hence IoT and analytics have to be incorporated into the system.
In this blog, you saw an example of how to use Lambda to process messages sent to SNS and store them in DynamoDB, thanks to the SNS and Lamdba integration.
In this article, I’ll show you how to build a (surprisingly cheap) 4-node cluster packed with 16 cores and 4GB RAM to deploy a MariaDB replicated topology.