Towards usable checksums: automating the integrity verification of web downloads for the masses Cherubini et al., CCS’18
If you tackled Monday’s paper on BEAT you deserve something a little easier to digest today, and ‘Towards usable checksums’ fits the bill nicely! There’s some great data-driven product management going on here as the authors set out to quantify current attitudes and behaviours regarding downloading files from the Internet, design a solution to improve security and ease-of-use, and then test their solution to gather feedback and prepare for a more widely deployed beta version.
When I was growing up we were all taught “Don’t talk to strangers”, and “Never get in a stranger’s car”. As has been well noted by others, so much for that advice! Perhaps the modern equivalent is “Don’t download unknown files from the Internet!” This paper specifically looks at applications made directly available from developer websites (vs downloads made through app stores).
A popular and convenient way to download programs is to use official app stores such as Apple’s Mac App Store and Microsoft’s Windows Store. Such platforms, however, have several drawbacks for developers, including long review and validation times, technical restrictions (e.g., sandboxing), Continue reading
The company announced AWS Ground Station to ingest and process data from satellites and send it to the AWS cloud.
The open source platform acts as a next-generation hypervisor targeted at modern architectures and already powers AWS' Lambda and Fargate services.
What is the difference between a SmartNIC and a server processor? …
AWS Tests The Waters With Homegrown Arm Servers was written by Timothy Prickett Morgan at .
Problem Statement – Have a list of VMWare Instances and wanted to quickly iterate and see what VMs are powered on, this has nothing to do with Vmware or ESXI, look at the below image, programmatically I want to pick two specific rows and perform dictionary operations on them.
Git – https://github.com/yukthr/auts/blob/master/random_programs/pandas_vmware_esxi.py
for someone like me who is partly into programming and mostly into networking, anything effective is easy, I could have gone with the other way of doing this but since Pandas are effective i would text parsing with them.
I only want two sections which are of interest to me, in a normal way maybe I should have pasted this in excel and Do a text to the column and do a manual data extraction, but wanted to do it with Pandas and they are powerful.
First things first
Let’s see how this proceeds
Pandas make it so powerful to just pick Columns out of the fly, in this case, I wanted Continue reading
HPC and the cloud have an uneasy, lukewarm relationship. Some corporations running HPC environments take the view that they have the infrastructure and software capabilities they need to run their own often massive workloads and taking on the networking costs, security concerns and management hassles of running applications and keep data in the cloud doesn’t make sense to them. …
Pratt & Whitney Launches HPC to The Cloud To Push Jet Engine Design was written by Jeffrey Burt at .
It tends to get overlooked in favor of GPU acceleration but scaling deep learning on existing CPU-based HPC infrastructure is not just possible, but with the right level of optimization and fine-tuning, the performance and efficiency results can be comparable. …
Scaling with Accuracy on CPU-Only HPC Infrastructure was written by Nicole Hemsoth at .
The simplest way to describe HammerSpace is that they are an abstraction layer between data and metadata. David Flynn, CEO described it like this. “We have introduced an abstraction which separates the data consumer side and the storage infrastructure side. And that’s really what’s necessary before we can manage data in the cloud.”
The post BiB 060: Focus On Your Data & Not Where It’s Stored With HammerSpace appeared first on Packet Pushers.
Emerging technologies like machine learning, deep learning, and natural language processing can promise significant improvements in an array of industries, including the healthcare field. …
Machine Learning Sharpens Medical Imaging was written by Jeffrey Burt at .
Also today HPE rolled out four new edge products as well as storage advances with machine learning built in.
The company says that using the custom Arm processors could cut costs as much as 40 percent.
NooBaa’s hybrid and multi-cloud management technology will be integrated with Red Hat’s storage offerings.
This growth in traffic will mean that more than one-third of network capacity will have to bypass the core by 2022.

Earlier this year, we asked Internet users across Asia-Pacific just how secure they thought their smart gadgets were. The findings, gathered from 950 respondents in 22 economies, yielded some interesting insights. Over half of those polled lack confidence that IoT devices are sufficiently secure. A similar percentage feel that they do not have enough information on the security of their device.
As connected devices move into our personal spaces – homes, offices and our bodies – amassing more and more data about us and our activities at a dizzying pace, our report, published last week, highlights how much work still needs to be done to build trust in the Internet of Things (IoT) ecosystem.
Asia-Pacific is undoubtedly a major area of growth for the IoT industry, with countries like China and India rapidly becoming some of the biggest markets for consumer IoT devices. We are also a formidable producer, with established brands like Xiaomi and Samsung churning out wearables, smart appliances, and virtual assistants, and numerous startups joining the fray.
Indeed, the report found that a substantial number of respondents already own IoT devices, with a further 73% planning to purchase an IoT device in the next 12 months. Continue reading