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Startup Aims to Predict Fires Before They Start

By George Leopold

A predictive analytics startup armed with a patented learning algorithm aimed at security applications along with Internet of Things devices said it has attracted seed funding for a platform that could spot the precursors of impending fires and floods before they start.

OneEvent Technologies said this week it has so far raised $4.3 million to commercialize its predictive learning and analytics engine for building monitoring and security. The cloud-based platform—the IoT version of a smoke alarm—uses wireless sensors to measure factors such as temperature, air quality and humidity. The engine eventually learns what is “normal” for a given structure and issues alerts when it detects an abnormal reading that might indicate fire or flood.

Company founders Dan Parent and Kurt Wedig said a TV segment showing hotel occupants crawling down a smoke-filled hallway, searching for an exit, inspired them. Their idea was spurred by the realization that smoke detectors and fire alarms did little to prevent the fire.

Founded in 2014, the startup based in Mount Horeb, Wis., holds eight U.S. patents on its software platform. The startup is currently testing the predictive alarm system with local fire departments and other agencies using controlled burns to determine how far in advance the OnePrevent system can predict trouble.

During testing at the safety certifier UL (formerly Underwriters Laboratories), OneEvent said signs of a fire were detected by its system up to 20 minutes before smoke alarms sounded.

The predictive learning and analytics engine can, for example, be trained to detect rising temperatures in a kitchen or increasing moisture from a leaking pipe. Each data point collected by wireless sensors can be processed via the OneEvent algorithm, alerting a building manager or homeowner via a smart app on a mobile phone or tablet. “As opportunity in IoT and building monitoring grows, there’s a potential to create solutions that can do more than just alert people to danger as it happens or after the fact,” OneEvent CEO Wedig asserted.

The startup notes that its predictive-alert system is neither a fire nor burglar alarm. Rather, it is positioning the platform as “supplementary protection that empowers users with data and anticipated warnings via a cloud based platform and app.”

Along with first responders and homeowners, the analytics engine also is being pitched to property and casualty insurers, allowing them to “look back in time” to determine whether an insured property was protected by working sensors.

Along with predictive capabilities, embedded sensors also could be used by first responders track the progress of a fire, generating data for investigators and claims adjusters on the cause of a fire.

Recent items:

Can the Internet of Things Help Us Avoid Disasters?

Big Algorithms to Change the World

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Startup Aims to Predict Fires Before They Start

By News Aggregator

By George Leopold

A predictive analytics startup armed with a patented learning algorithm aimed at security applications along with Internet of Things devices said it has attracted seed funding for a platform that could spot the precursors of impending fires and floods before they start.

OneEvent Technologies said this week it has so far raised $4.3 million to commercialize its predictive learning and analytics engine for building monitoring and security. The cloud-based platform—the IoT version of a smoke alarm—uses wireless sensors to measure factors such as temperature, air quality and humidity. The engine eventually learns what is “normal” for a given structure and issues alerts when it detects an abnormal reading that might indicate fire or flood.

Company founders Dan Parent and Kurt Wedig said a TV segment showing hotel occupants crawling down a smoke-filled hallway, searching for an exit, inspired them. Their idea was spurred by the realization that smoke detectors and fire alarms did little to prevent the fire.

Founded in 2014, the startup based in Mount Horeb, Wis., holds eight U.S. patents on its software platform. The startup is currently testing the predictive alarm system with local fire departments and other agencies using controlled burns to determine how far in advance the OnePrevent system can predict trouble.

During testing at the safety certifier UL (formerly Underwriters Laboratories), OneEvent said signs of a fire were detected by its system up to 20 minutes before smoke alarms sounded.

The predictive learning and analytics engine can, for example, be trained to detect rising temperatures in a kitchen or increasing moisture from a leaking pipe. Each data point collected by wireless sensors can be processed via the OneEvent algorithm, alerting a building manager or homeowner via a smart app on a mobile phone or tablet. “As opportunity in IoT and building monitoring grows, there’s a potential to create solutions that can do more than just alert people to danger as it happens or after the fact,” OneEvent CEO Wedig asserted.

The startup notes that its predictive-alert system is neither a fire nor burglar alarm. Rather, it is positioning the platform as “supplementary protection that empowers users with data and anticipated warnings via a cloud based platform and app.”

Along with first responders and homeowners, the analytics engine also is being pitched to property and casualty insurers, allowing them to “look back in time” to determine whether an insured property was protected by working sensors.

Along with predictive capabilities, embedded sensors also could be used by first responders track the progress of a fire, generating data for investigators and claims adjusters on the cause of a fire.

Recent items:

Can the Internet of Things Help Us Avoid Disasters?

Big Algorithms to Change the World

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The post Startup Aims to Predict Fires Before They Start appeared on IPv6.net.

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With money pouring in, are security and RoI concerns keeping IoT in the hype zone?

By News Aggregator

By Sheetal Kumbhar

Valued at one trillion dollars, the global Internet of Things (IoT) market continues to garner keen interest from innovators, receiving a record $1.4 billion in venture capital in 2016. But barriers to its adoption in the enterprise seem to keep the sector in the hype zone, as four of every ten companies report security concerns […]

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The Three Pillars of ICANN’s Technical Engagement Strategy

ICANN’s technical engagement team was established two years ago. Since then, we have made a great deal of progress in better engaging with our peers throughout the Internet Assigned Numbers Authority (IANA) stewardship transition proposal process and currently during the implementation phase. Over the past few months, the Office of the CTO has been reinforced with a dedicated research team composed of experienced Internet technologists. These experts are working hard to raise the level of ICANN engagement on Internet identifiers technology usage measurement, its evolution, and are collecting and sharing data that can further support the community in its policy development processes. They are also focusing on helping to build bridges with other relevant technical partners.

Our overall strategy for technical engagement is based on three pillars:

  • Continue building trust with our technical partners and peers within the ecosystem.
  • Expand our participation in relevant forums and events where we can further raise awareness about ICANN’s mission, while encouraging more diversity in participation in our community policy development processes.
  • Continue contributing ICANN’s positions on technical topics discussed outside our regular forums, but ones affecting our mission, keeping the focus on our shared responsibilities and effective coordination.

We can highlight in this blog some ongoing activities toward each goal:

Expanding Participation in Technical Forums

To continue building a sustainable relationship with our peers, we have increased, in number and in quality, our participation and contribution to various technical forums led by our partner organizations, including:

  • Internet Engineering Task Force (IETF)
  • Regional Internet Registries (RIRs): African Network Information Center (AFRINIC), Asia-Pacific Network Information Centre (APNIC), American Registry for Internet Numbers (ARIN), Latin American and Caribbean Network Information Centre (LACNIC) and Réseaux IP Européens Network Coordination Centre (RIPE NCC)
  • Regional country code top-level domain organizations: African TLD Organization (AFTLD), Council of European National TLD Registries (CENTR), Asia Pacific TLD Organization (APTLD), Latin American and Carribean TLD Organization (LACTLD)
  • And many others …

Encouraging Diversity of Participants

As a community, we face the challenge of strengthening the bottom-up, multistakeholder policy development process, while at the same time ensuring that participation becomes more diverse. Looking beyond regional and gender diversity, we must also achieve technical diversity. For example, when we work on domain name policies that affect online services, how do we ensure that we have Internet service operators, application developers and software designers around the table to give their operational perspectives? And as mobile technology becomes an increasingly prevalent way of consuming Internet services, and mobile operators are important players in that sector, how do we ensure that they engage with and contribute to our policy development processes?

We have also seen a growing interest from the Internet services abuse mitigation community in understanding and engaging more actively in our community-led policy development processes. As a result, the output of these processes is taking their needs into consideration. Our Security, Stability and Resiliency (SSR) and Global Stakeholder Engagement (GSE) teams have worked together to provide capability-building programs dedicated to this community. We are exploring ways to cover more ground (particularly in emerging regions). Our recent participation in the Governmental Advisory Committee (GAC) Public Safety Working Group’s workshop in Nairobi has confirmed this need. A follow-up mechanism is under discussion to make sure our engagement efforts meet these needs.

Engaging in Technical Topics that Affect Our Ecosystem

Finally, within our technical scope, we have launched an Internet Protocol version 6 (IPv6) initiative to refine ICANN’s position on IPv6. The initiative defines actions that will ensure that, as organization, we do our part to provide online services that our community can transparently access over both IPv6 and Internet Protocol version 4 (IPv4). Read more about our IPv6 initiative.

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Homeland Security Invests $1M in five IoT Security Startups

The Department of Homeland Security (DHS) Science and Technology Directorate (S&T) announced their $1M investment in five IoT-security startups. The startups being funded are Factom, Whitescope, M2Mi, Ionic Security, and Pulzze Systems.

DHS aims to improve situational awareness of security within the Internet of Things by funding these startups. The announcement was made on Jan 21, 2017.

The five IoT security startups, selected through its ‘Securing the Internet of Things and Silicon Valley Innovation Program’, will produce and demonstrate a pilot-ready prototype to qualify for the third phase of the program.

Major focus of each of funded startup is as follows:

Atlanta-based Ionic Security received approximately $200K to develop a distributed data protection model. It will solve authentication, detection and confidentiality challenges that impact distributed IoT devices. Inonic’s total total equity funding stands at $122.44M in 7 Rounds from 22 Investors. Amazon also participated in Ionic’s Series D $45M funding.

Factom Harmony

Austin-TX based Factom received $199K by DHS to deliver solutions related to quality control, due diligence, and auditing by leveraging the blockchain. It will help prevent spoofing and ensure data integrity. The Austin-based startup has also secured $6.49M in 5 Rounds from 4 Investors.

California-based M2Mi received $200K to deploy open source version of the SPECK cryptographic protocol. It will help run a light weight crypto package on IoT devices.

Another California-based startup Whitescope LLC received $200K to build a working prototype of a secure wireless communications gateway for IoT devices.

California-based Pulzze Systems will improve infrastructure visibility problem by providing dynamic detection as components connect or disconnect from a networked system. It also received $200K in funding by DHS.

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Tryst Energy makes IoT-based solar panel at the size of an SD-card for €59

By News Aggregator

Tryst Light Energy is energy harvesting hardware intended for IoT devices. It needs four hours of sunshine (with relatively small brightness of only 200 lux) to charge IoT-based sensors for 24 hours.

The startup launched on Kickstarter is offering the environment edition, movement edition and dev edition priced at €74, €69, and €59 respectively.

A feature list of the three editions can be viewed on the company’s Kickstarter campaign page.

Tryst launched its Kickstarter fundraising campaign on March 9th, 2017. With 77 backers and 27 days to go, Tryst had €4,981 pledged of €30,000 goal at the time of reporting.

Majority of IoT solutions require batteries to power the sensors. Batteries need to be charged, replaced and maintained. Another disadvantage of battery-powered IoT solutions is that a battery charges slow, and wears out after some charges. Tryst claims to eliminate the need for batteries.

Its Environment edition lets you measure temperature, humidity and the amount of CO2 in the air. The movement edition measures motion, finds your location and records the altitude at which you are. The dev edition is for developers, which contains only the basics (programmable. connectivity & the Light Energy module).

The device contains an energy module, an energy-storage capacitor (Super-Cap), MCU and a radio (Bluetooth 4.2 and LoRaWAN). The real magic is in the Super-Cap that stores around 1.7 mWh for moments without light or peak usage with a life-expectancy of 50,000 cycles. Simply put, the capacitor stores and deploys small amounts of energy super-fast with little to no wear.

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NXP unveils advanced TSN-enabled SoC for Industrial IoT

By News Aggregator

By Sheetal Kumbhar

NXP Semiconductors™ N.V. a worldwide provider of advanced connectivity solutions, announced its newest QorIQ® Layerscape SoC, the LS1028A, integrating Time-Sensitive Networking (TSN) capabilities based on the IEEE 802.1 standards. As industrial OEMs design solutions for Industry 4.0, they must converge the operations technology (OT) domain with their information technology (IT) infrastructure. However, OT networks require […]

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NXP Unveils Advanced TSN-Enabled SoC for Industrial IoT

By News Aggregator

By IoT – Internet of Things

NXP Semiconductors™ N.V. announced its newest QorIQ® Layerscape SoC, the LS1028A, integrating Time-Sensitive Networking (TSN) capabilities based on the IEEE 802.1 standards. As industrial OEMs design solutions for Industry 4.0, they must converge the operations technology (OT) domain with their information technology (IT) infrastructure. However, OT networks require guaranteed and timely delivery of packets, not […]

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ICANN Complaint System Easily Gamed

By News Aggregator

By Garth Bruen

ICANN’s WDPRS system has been defeated. The system is intended to remove or correct fraudulently registered domains, but it does not work anymore. Yesterday I submitted a memo to the leadership of the ICANN At-Large Advisory Committee (ALAC) and the greater At-Large community. The memo concerns the details of a 214-day saga of complaints about a single domain used for trafficking opioids. For those who are familiar with the cycle of WDPRS complaints, the time frame is supposed to be 45 days at a maximum. The 45-day window was defeated by the domain owner who constantly transferred the domain and changed the data which took it out of the hard-structured view of complaints processing. This is part of an ongoing series of articles and research into online opioids traffic and effectiveness of different enforcement procedures. The first complaint was submitted 4 August 2016 and the most recent response from ICANN on 6 March stated in part:

ICANN considers this matter now closed.

Wonderful. We should all feel so much safer. Unfortunately, this is just the continuation of a very long process failure. The domain in question, DRUGS-ORDER.NET (which I refer to in my handwritten notes as “DONT”) is still online and used for selling opioids without a prescription and without displaying a pharmacy license. The memo I submitted in response to these events is an analysis of the ICANN complaint system (WDPRS). The analysis uses this domain with false WHOIS as an example to better understand the issues with ICANN policy and procedure. In short, the ICANN WDPRS has been effectively circumvented. The domain has had 3 different sets of false WHOIS and simply transferred their domain each time a complaint was filed. The domain has been transferred to 4 different registrars and is currently operating selling narcotics. With nearly 3000 registrars there is no practical limit. In each case, the registrar largely followed the process and complied with ICANN. So ultimately it’s not a registrar issue, it’s an ICANN issue. The failure of the organization to understand how the process can be manipulated makes the process useless. ICANN compliance will likely respond by stating they are constrained by the contract. However, they are also apparently constrained by process innovation as well as real-world context.

This is an extremely urgent issue. Yesterday, here in Copenhagen at the CC session towards effective DNS abuse mitigation prevention mitigation some very smart and passionate experts (including APWG and global LE) discussed various threats on the Internet. One fact is clear from this discussion: the ability of criminals to obtain domains far outpaces the current ability to contain them. Even concerned and proactive registrars at the session complained that their compliance and cooperation with abuse mitigation is hampered by other factors out of their control. The various issues can be summed up in one word: complexity. The data is complex, but the process cannot accept that complexity.

All criminal and abusive operations should follow this cycle to stay in business: Obfuscate, Wait, Transfer, Repeat.

I will be presenting on these issues at the joint session of the Public Safety Working Group (PSWG) and the Verified TLD (vTLD) constituency. This meeting is scheduled for Tuesday 14 March from 18:30 to 19:30 (CET) in Hall B4.1 at ICANN58.

Written by Garth Bruen, Internet Fraud Analyst and Policy Developer

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More under: Cybercrime, DNS Security, Domain Names, Registry Services, Intellectual Property, ICANN, Internet Governance, Law, Policy & Regulation, Security, Top-Level Domains, Whois

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MapR Extends Its Platform to the Edge

By Alex Woodie

MapR Technologies today unveiled MapR Edge, an extension of its converged data platform that lets customers install MapR nodes practically anywhere they want.

The new offering runs on small portable PCs like the Intel NUC (pictured above), and delivers the full breadth of MapR’s capabilities–including Hadoop, NoSQL, and data streaming functionality—anywhere customers want, from autonomous cars driving rural highways to wellheads in the oil field.

“Things are getting more distributed, not less distributed,” says Jack Norris, MapR‘s senior vice president of data and applications. “The benefits of having processing closer and closer to the data and being able to act faster where the action is happening, is a big driver.”

MapR Edge pushes data collection and processing capabilities further away from the big centralized clusters that so far have largely defined big data platforms like Hadoop, NoSQL databases, and streaming data platforms Kafka. But instead of creating a separate system that must be configured and managed, MapR decided to make it all part of the family.

“This is not a separate standalone product that just has data collection,” Norris tells Datanami. “It’s actually a full extension of the cluster, so [it’s providing] centralized management, centralized security. [It has] the ability to replicate, the ability mirror, the ability to handle occasional connected devices with streams. It’s all built into the MapR Edge.”

The new offering fits into MapR’s strategy to help customers build Internet of Things (IoT) applications. To that end, it serves several functions.

First, it serves as the first waypoint for data right after it’s generated. As raw flows off wellheads or MRI machines, MapR Edge collects it and performs the first round of processing. The customer then has the choice to upload only the aggregated cluster to the core MapR clusters for further analysis or archiving. This can help alleviate both bandwidth and data privacy and security concerns.

But MapR Edge goes beyond that and pushes machine intelligence out into the field. For example, an oil exploration company with thousands of wellheads may have used machine learning algorithms to predict when equipment is about to fail. That signature of equipment failure can be pushed out to the MapR Edge to score streams of live data in real time.

“This whole concept of act locally, learn globally is really what’s driving some of the closed loop processes,” Norris says. “Each individual unit is only seeing the data from that particular wellhead. But when you’ve got thousands of those throughout world and you have data that’s been collected over a period of time, the ability to detect infrequently occurring events — the ability to detect anomalies – is much better understood on global basis.”

As a full-fledged member of the MapR clusters, MapR Edge can run any big data processing engine supported by the Hadoop distributor, including Spark, Drill, Hive, MapReduce, and others. The software can also function as a node of MapR’s NoSQL database, called MapRDB, and also be a node in MapR’s Kafka-compatible stream processing system, called MapR Streams.

MapR Edge can run on the Intel NUC, a miniature PC that’s only 4.5 inches by 4.5 inches in size. The minimum configuration calls for a cluster of three Intel NUCs, each configured with 16GB of RAM and 64GB of solid-state storage. The maximum configuration is a cluster of five MapR Edges, and total of 50 TB of storage.

Related Items:

MapR Embraces Microservices in Big Data Platform

MapR Delivers Bi-Directional Replication with Distro Refresh

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