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Yale alarm app debacle causes chaos across UK homes

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A system failure has caused the Yale smart security app to crash and reportedly resulted in customers unable to control their alarms.

On Wednesday, Yale told customers across the United Kingdom on Twitter that “unplanned network maintenance” might cause some customers to “experience connection issues.”

While Yale promised that the work would be complete within 24 hours to resolve the issue, this was later followed by a message which indicated the fix would take longer than expected.

The issue affected all app-controlled alarm systems.

CNET: Google Home Hub says no to smart-home cameras in your bedroom

“We’re very sorry but whilst working to fix the app we have experienced an unforeseen issue and the app is now temporarily unavailable,” Yale said. “We can only apologize for the inconvenience this is causing our customers. Our team is continuing to work through the night to restore the app.”

The “unforseen issue” also had consequences for customers, who took to Twitter to complain of app failures, as well as express anger that Yale did not inform them of the problems directly.

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Yale said that alarms could be disabled via the security system’s accompanying keyfob or keypad, but many customers appeared to have issues with this, with some reporting being unable to find their PIN — which was stored on the app — and the smart alarm being inaccessible by keypad.

The unresponsive app exacerbated the problem. The situation has been branded a “shambles” on social media.

The functionality of the app was partially restored by the next day but customers have continued to report connectivity issues; not only with the app itself but also with the product’s smart hub.

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A Yale spokesperson told ZDNet:

“We are very sorry for the inconvenience this has caused our smart alarm customers and we have been working tirelessly to resolve this.

This issue has only affected the Yale Home app that controls the smart alarm. Whilst the app has had a loss of functionality, customers have been able to arm and disarm their alarms via their keypads and keyfobs. At no point has there been a breach in our security, and all alarms have remained completely secure.

Our Bluetooth enabled smart door locks can operate independently via the Conexis app and at no point was this app affected. In addition, our smart door locks have various other methods of entry, including key tags, key cards, and PIN codes, none of which rely on an app for entering or leaving the property. For safety, all of our smart door locks allow mechanical egress (ability to exit without the use of electronics).

We have been keeping customers regularly updated whilst we fix the app and have been responding to all individual complaints and concerns.”

Yale has not responded to queries concerning the nature of the app’s failure.

Update 13.10, 9.47 BST: Yale now says that the majority of customers “should now have access to all app features, however, a small number of customers may still be experiencing minor issues.’

“Our team continue to work towards a permanent solution for all customers,” the company added. “We really appreciate your ongoing patience.”

TechRepublic: TechRepublic launches the ‘Smart Home Office’

This is not the first time that a smart security system has failed. Last year, LockState customers reported failures in their Wi-Fi-enabled smart lock products.

See also: Google’s campus door security blasted wide open by its own engineer

A botched firmware update sent to the wrong products created a “fatal error” which meant that remote fixes were impossible, leaving many Airbnb customers were unable to unlock the doors of properties they had booked.

Update 13.10, 9.39 BST: Article updated for increased clarity.

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Defeating Distributed Denial of Service Attacks

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It seems like every day the news brings new stories of cyberattacks. Whether ransomware, malware, crippling viruses, or more frequently of late—distributed denial of service (DDoS) attacks. According to Infosec magazine, in the first half of 2020, there was a 151% increase in the number of DDoS attacks compared to the same period the previous year. That same report states experts predict as many as 15.4 million DDoS attacks within the next two years.

These attacks can be difficult to detect until it’s too late, and then they can be challenging to defend against. There are solutions available, but there is no one magic bullet. As Alastair Cooke points out in his recent “GigaOm Radar for DDoS Protection” report, there are different categories of DDoS attacks.

And different types of attacks require different types of defenses. You’ll want to adopt each of these three defense strategies against DDoS attacks to a certain degree, as attackers are never going to limit themselves to a single attack vector:

Network Defense: Attacks targeting the OS and network operate at either Layer 3 or Layer 4 of the OSI stack. These attacks don’t flood the servers with application requests but attempt to exhaust TCP/IP resources on the supporting infrastructure. DDoS protection solutions defending against network attacks identify the attack behavior and absorb it into the platform.

Application Defense: Other DDoS attacks target the actual website itself or the web server application by overwhelming the site with random data and wasting resources. DDoS protection against these attacks might handle SSL decryption with hardware-based cryptography and prevent invalid data from reaching web servers.

Defense by Scale: There have been massive DDoS attacks, and they show no signs of stopping. The key to successfully defending against a DDoS attack is to have a scalable platform capable of deflecting an attack led by a million bots with hundreds of gigabits per second of network throughput.

Table 1. Impact of Features on Metrics
[chart id=”1001387″ show=”table”]

DDoS attacks are growing more frequent and more powerful and sophisticated. Amazon reports mitigating a massive DDoS attack a couple of years ago in which peak traffic volume reached 2.3 Tbps. Deploying DDoS protection across the spectrum of attack vectors is no longer a “nice to have,” but a necessity.

In his report, Cooke concludes that “Any DDoS protection product is only part of an overall strategy, not a silver bullet for denial-of-service hazards.” Evaluate your organization and your needs, read more about each solution evaluated in the Radar report, and carefully match the right DDoS solutions to best suit your needs.

Learn More About the Reports: Gigaom Key Criteria for DDoS, and Gigaom Radar for DDoS

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Assessing Providers of Low-Power Wide Area Networks

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Blog Title: Assessing Providers of Low-Power Wide Area Network Technology

Companies are taking note of how Low-Power Wide Area Networks (LPWAN) can provide long-distance communications for certain use cases. While its slow data transfer rates and high latency aren’t going to be driving any high intensity video streaming or other bandwidth-hungry situations, it can provide inexpensive, low power, long-distance communication.

According to Chris Grundemann and Logan Andrew Green’s recent report “GigaOm Radar for LPWAN Technology Providers (Unlicensed Spectrum) v1.0,” this growing communications technology is suitable for use cases with the following characteristics:

  • Requirement for long-distance transmission—10 km/6 miles or more wireless connectivity from sensor to gateway
  • Low power consumption, with battery life lasting up to 10 years
  • Terrain and building penetration to circumvent line-of-sight issues
  • Low operational costs (device management or connection subscription cost)
  • Low data transfer rate of roughly 20kbps

These use cases could include large-scale IoT deployments within heavy industry, manufacturing, government, and retail. The LPWAN technology providers evaluated in this Radar report are currently filling a gap in the IoT market. They are certainly poised to benefit from the anticipated rapid adoption of LPWAN solutions.

Depending on the use case you’re looking to fulfill, you can select from four basic deployment models from these LPWAN providers:

  • Physical Appliance: This option would require a network server on-premises to receive sensor data from gateways.
  • Virtual Appliance: Network servers could also be deployed as virtual appliances, running either on-premises or in the cloud.
  • Network Stack as a Service: With this option, the LPWAN provider fully manages your network stack and provides you with the service. You only need devices and gateways to satisfy your requirements.
  • Network as a Service: This option is provided by mobile network operators, with the provider operating the network stack and gateways. You would only need to connect to the LPWAN provider.

Figure 1. LPWAN Connectivity

The LPWAN providers evaluated in this report are well-positioned from both a business and technical perspective, as they can function as a single point of contact for building IoT solutions. Instead of cobbling together other solutions to satisfy connectivity protocols, these providers can set up your organization with a packaged IoT solution, reducing time to market and virtually eliminating any compatibility issues.

The unlicensed spectrum aspect is also significant. The LPWAN technology providers evaluated in this Radar report use at least one protocol in the unlicensed electromagnetic spectrum bands. There’s no need to buy FCC licenses for specific frequency bands, which also lowers costs.

Learn More: Gigaom Enterprise Radar for LPWAN

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The Benefits of a Price Benchmark for Data Storage

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Why Price Benchmark Data Storage?

Customers, understandably, are highly driven by budget when it comes to data storage solutions. The cost of switching, upkeep and upgrades are high risk factors for businesses, and therefore, decision makers need to look for longevity in their chosen solution. Many factors influence how data needs to be handled within storage, including data that is frequently accessed, or storing rarely-accessed legacy data. 

Storage performance may also be shaped by geographic location, from remote work or global enterprises that need to access and share data instantly, or by the necessity of automation. Each element presents a new price-point that needs to be considered, by customers and by vendors.

A benchmark gives a comparison of system performance based on a key performance indicator, such as latency, capacity, or throughput. Competitor systems are analyzed in like-for-like situations that optimize the solution, allowing a clear representation of the performance. Price benchmarks for data storage are ideal for marketing, showing customers exactly how much value for money a solution has against competitor vendors.

Benchmark tests reinforce marketing collateral and tenders with verifiable evidence of performance capabilities and how the transactional costs relate to them. Customers are more likely to invest in long-term solutions with demonstrable evidence that can be corroborated. Fully disclosed testing environments, processes, and results, give customers the proof they need and help vendors stand out from the crowd.

The Difficulty in Choosing

Storage solutions vary greatly, from cloud options to those that utilize on-premises software. Data warehouses have different focuses which impact the overall performance, and they can vary in their pricing and licensing models. Customers find it difficult to compare vendors when the basic data storage configurations differ and price plans vary. With so many storage structures available, it’s hard to explain to customers how output relates to price, appeal to their budget, and maintain integrity, all at the same time.

Switching storage solutions is also a costly, high-risk decision that requires careful consideration. Vendors need to create compelling and honest arguments that provide reassurance of ROI and high quality performance.

Vendors should begin by pitching their costs at the right level; they need to be profitable but also appealing to the customer. Benchmarking can give an indication of how competitor cost models are calculated, allowing vendors to make judgements on their own price plans to keep ahead of the competition. 

Outshining the Competition

Benchmark testing gives an authentic overview of storage transaction-based price-performance, carrying out the test in environments that imitate real-life. Customers can gain a higher understanding of how the product works in terms of transactions per second, and how competitors process storage data in comparison.

The industry-standard for benchmarking is the TPC Benchmark E (TPC-E), a recognized standard for storage vendors. Tests need to be performed in credible environments; by giving full transparency on their construction, vendors and customers can understand how the results are derived. This can also prove systems have been configured to offer the best performance of each platform.

A step-by-step account allows tests to be recreated by external parties given the information provided. This transparency in reporting provides more trustworthy and reliable outcomes that offer a higher level of insight to vendors. Readers can also examine the testing and results themselves, to draw independent conclusions.

Next Steps

Price is the driving factor for business decisions and the selection for data storage is no different. Businesses often look towards low-cost solutions that offer high capacity, and current trends have pushed customers towards cloud solutions which are often cheaper and flexible. The marketplace is full in regard to options: new start-ups are continually emerging, and long serving vendors are needing to reinvent and upgrade their systems to keep pace. 

Vendors need evidence of price-performance, so customers can be reassured that their choice will offer longevity and functionality at an affordable price point. Industry-standard benchmarking identifies how performance is impacted by price and which vendors are best in the market – the confirmation customers need to invest.

 

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