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  Think Big – Now Think Even Bigger
  Join Us at Internet of Things at Cloud Expo, November 11-13,
at the Javits Center!


The Internet of Things (IoT) is the most profound change in personal and enterprise IT since the creation of the Worldwide Web more than 20 years ago.

All major researchers estimate there will be tens of billions devices - computers, smartphones, tablets, and sensors - connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades.

With major technology companies and startups seriously embracing IoT strategies, now is the perfect time to attend Internet of Things at Cloud Expo in New York City. Learn what is going on, contribute to the discussions, and ensure that your enterprise is as "IoT-Ready" as it can be!

Delegates to Internet of Things at Cloud Expo will be able to attend eight separate, information-packed tracks:

  • Enterprise Cloud
  • Digital Transformation
  • The API Enterprise | Mobility & Security
  • DevOps | Containers & Microservices
  • Cognitive Computing | AI, ML, DL
  • Big Data | Analytics
  • IoT | IIoT | Smart Cities
  • Hot Topics | FinTech | WebRTC

There are 120 breakout sessions in all, with Keynotes, General Sessions, and Power Panels adding to three days of incredibly rich presentations and content.


We'll see you in New York!



Day 3 Keynote at @ThingsExpo | Chris Matthieu, CTO of Octoblu
In his keynote at @ThingsExpo, Chris Matthieu, Director of IoT Engineering at Citrix and co-founder and CTO of Octoblu, focused on building an IoT platform and company. He provided a behind-the-scenes look at Octoblu's platform, business, and pivots along the way (including the Citrix acquisition of Octoblu).
  Themes & Topics to Be Discussed

Consumer IoT
• Wearables
• Smart Appliances
• Smart Cars
• Smartphones 2.0
• Automation
• Smart Travel
• Personal Fitness
• Health Care
• Personalized Marketing
• Customized Shopping
• Personal Finance
• The Digital Divide
• Mobile Cash & Markets
• Games & The IoT
• The Future of Education
• Virtual Reality

Enterprise IoT
• The Business Case for
x IoT
• Smart Grids
• Smart Cities
• Smart Transportation
• The Smart Home
• M2M
• Authentication/Security
• Wiring the IoT
• The Internet of
x Everything
• Digital Transformation
x of Enterprise IT
• Agriculture
• Transportation
• Manufacturing
• Local & State
x Government
• Federal Government

IoT Developers | WebRTC Summit
• Eclipse Foundation
• Cloud Foundry
• Linux Containers
• Node-Red
• Open Source Hardware
• Ajax and the IoT
• Leveraging SOA
• Multi-Cloud IoT
• Evolving Standards
• WebSockets
• Security & Privacy
x Protocols
• GPS & Proximity
x Services
• Bluetooth/RFID/etc
• XMPP
• Nest Labs



The Top Keynotes, the Best Sessions, a Rock Star Faculty and the Most Qualified Delegates of ANY Internet of Things Event!


The future of computing lies in these things. As computing takes a much more active role in our lives it will at the same time become much more invisible. Internet of Things Expo will address the challenges in getting from where we are today to this future.
 
The high-energy event is a must-attend for senior technologists from CEOs on down – including CIOs, CTOs, directors of infrastructure, VPs of technology, IT directors and managers, network and storage managers, network engineers, enterprise architects, and communications and networking specialists.




@ThingsExpo Power Panel | The World's Many IoTs: Which Are the Most Important?
The Internet of Things is clearly many things: data collection and analytics, wearables, Smart Grids and Smart Cities, the Industrial Internet, and more. Cool platforms like Arduino, Raspberry Pi, Intel's Galileo and Edison, and a diverse world of sensors are making the IoT a great toy box for developers in all these areas. In this Power Panel at @ThingsExpo, panelists discussed what things are the most important, which will have the most profound effect on the world, and what should we expect to see over the next couple of years.
Benefits of Attending the Three-Day Technical Program
  LEARNexactly why Internet of Things is relevant today from an economic, business and technology standpoint.
  HEAR first-hand from industry experts the common issues and requirements for creating a platform for the Internet of Things.
  SEE what new tools and approaches the Internet of Things requires.
  DISCOVER how to drive a distributed approach to the Internet of Things, where applications move to the data.
  FIND OUThow the vast volumes of new data produced by the Internet of Things provides a valuable new source of business insight through advanced analytical techniques.
  MASTER how the ongoing development of smart cities, cars, and houses will enhance connectivity infrastructure.
Lunch Power Panel | Microservices & IoT- Moderated by Jason Bloomberg
In this Power Panel at @DevOpsSummit, moderated by Jason Bloomberg, president of Intellyx, panelists Roberto Medrano, Executive Vice President at Akana; Lori MacVittie, Evangelist for F5 Networks; and Troy Topnik, ActiveState's Technical Product Manager; and Otis Gospodnetic, founder of Sematext; peeled away the buzz and discuss the important architectural principles behind implementing IoT solutions for the enterprise. As remote IoT devices and sensors become increasingly intelligent, they become part of our distributed cloud environment, and we must architect and code accordingly. At the very least, you'll have no problem filling in your buzzword bingo cards.


VW Emissions Scandal: Death Knell for IoT?

One can hardly read a word about the recent Volkswagen emissions scandal without replacing our collective Fahrvergnügen with Schadenfreude. Massive German auto maker, caught red-handed falsifying emissions data. Heads are gonna roll!

While we have to give VW execs some credit for finally owning up to the deception, their scapegoating is a different story. According to the VW leadership, who’s at fault in this sorry tale? Three rogue software engineers.

Seriously? With billions of dollars at stake, who’s responsible for planning and executing a massive cover-up involving hundreds of thousands of vehicles? Three coders?

pressureImplausible as this fingerpointing sounds, the information about the specifics of who-did-what-when in this sordid tale has yet to be revealed. So from this point on, I’ll be speaking hypothetically.

Hypothetically speaking, then, let’s consider an automobile manufacturer we’ll call, say, XY. Are the programmers of the emissions device software at XY the likely perpetrators of such an escapade?

It is certainly possible to program software to yield incorrect results. After all, you can program software to give you whatever results you want. However, any good software quality assurance (SQA) team should be able to catch such shenanigans.

The basics of SQA are white box and black box testing. White box means the testers analyze the source code itself – which would usually catch any code that intentionally gives the wrong result.

However, even if the coders were subtle enough with their malfeasance to slip by white box testing, then black box testing should trip them up.

With black box testing, testers begin with a set of test data and run them through the software. They check the actual results against the desired results. If they don’t match, then they know there’s a problem. Since the whole point of the malicious code is to generate incorrect results, any competent black box test should call out the crime.

We can only assume the code in question passed all of its tests. So at the very least, the testers at XY are either incompetent or in collusion with the three rogue engineers – and either of these situations indicates a broader problem than simply three bad coder apples.

The Insider Calibration Attack

So, are the perpetrators in XY’s sordid tale of deception a broad conspiracy involving engineers and testers? Perhaps, or perhaps not.

There is another approach to falsifying the emissions data altogether, one that wouldn’t have to involve the engineers that wrote the code for the emissions devices or the testers either. That approach is a calibration attack.

Calibration attacks are so far off the cybersecurity radar that they don’t even have a Wikipedia page – yet. Which is surprising, as they make for a great arrow in the hacker’s quiver, since they don’t depend upon malicious code, and furthermore, encryption doesn’t prevent them.

In the case of XY, their subterfuge might in fact be such an insider calibration attack. Here’s how it works.

There are emissions sensors in each automobile that generate streams of raw data. Those raw data must find their way into the software running inside the emissions device that is producing the misleading results. But somewhere in between, either on a physical device or as an algorithm in the software itself, there must be a calibration step.

This calibration step aligns the raw data with the real-world meaning of those data. For example, if the sensor is detecting parts per million (PPM) of particulate matter in the exhaust, a particular sensor reading would be some number, say, 48947489393 during a controlled test. Without the proper calibration, however, there’s no way to make sense of this number.

To conduct the calibration, a calibration engineer would use an analog testing tool to determine that the actual PPM value at that time was, say, 3.2 PPM. The calibration factor would be the ratio of 48947489393 to 3.2, or 15296090435.3125 (in real world scenarios the formula might be more complicated, but you get the idea).

The engineer would then turn a dial somewhere (either physically or by setting a calibration factor in the software) that represents this number. Once the device is properly calibrated in this way, the readings it gives should be accurate.

However, if the calibration engineer does the calibration incorrectly – or a malefactor intentionally introduces a miscalibration – then the end result would be off. Every time. Even though there was nothing wrong with the sensor data, no security breach between the sensor and emissions device, and furthermore, every line of code in the device was completely correct.

In fact, the only way to detect a calibration attack is by running an independent analog test. In other words, someone would have to get their own exhaust particulate measuring device and run tests on real vehicles to see if the emissions device was properly calibrated.

Which, of course, is how the dirty deeds at VW – oops, I mean XY – were finally uncovered.

The Bigger Story: External Calibration Attacks

So, why did I put “death knell for the IoT” in the title of this article? XY’s emissions devices weren’t on the Internet, and thus weren’t part of the Internet of Things. But of course, they could have been – and dollars to donuts, will be soon.

The most likely scenario for XY’s troubles is an internal calibration attack – but scenarios where hackers mount calibration attacks from outside are far more unsettling.

My Internet research on this topic turned up few discussions of this type of attack. However, there has been some academic research into external calibration attacks in the medical device arena (see this academic paper from the UCLA Computer Science Department as an example).

Here’s a likely scenario: your IoT-savvy wearable device sends diagnostic information to your physician. Physicians have software on their end that they use to analyze the data from such devices for diagnostic purposes.

If a hacker is able to compromise the calibration of the transmitted data, then the physician may be tricked into reaching an incorrect diagnosis – even though your wearable is working properly, the physicians’ software is working properly, and the communication between the two wasn’t compromised.

The conclusion of the UCLA report reads in part: “The proposed attack cannot be prevented or detected by traditional cryptography because the attack is directly dealing with data after sampling. Traditional cryptography can only guarantee the data to be safe through the wireless channels.”

In fact, as with the XY scenario, the only sure way to detect such an attack is to run an independent, analog test of the data. In the case of XY, there was a single calibration attack that impacted a large number of devices – and it still took years before somebody bothered to run the independent analog test.

In the case of the IoT, every single IoT device is subject to a calibration attack. And the only way to identify such attacks is to run an independent test on the data coming from or going to every IoT endpoint.

Even if there were a practical way of running such tests (which there isn’t), we must still ask ourselves whether we would rely upon IoT-enabled devices to run such tests. If so, we haven’t solved the problem – we’ve simply expanded our threat surface to include the devices we’re using to uncover calibration attacks themselves.

The Intellyx Take

Let’s say you just put on your fancy new fitness wearable. You go for a run and when you get back, you get a frantic call from your doctor, who tells you your blood pressure is 150 over 100 – a dangerous case of hypertension.

But then you ask yourself, how do you know the values are accurate? Well, you don’t. The only way to tell is to test your blood pressure with a different device and compare the results. So you borrow your spouse’s fancy new fitness wearable, and it gives your doctor the same reading.

If they’re the same model from the same manufacturer, then of course you’re still suspicious. But even if they’re different devices, you have no way of knowing whether your doctor’s software is properly calibrated.

So you get out your trusty sphygmomanometer (like we all have one of those in our medicine cabinets), and test your blood pressure the old fashioned way.

Then it dawns on you. What good is that fancy new fitness wearable anyway? You’d be suspicious of any reading it would give your doctor, so to be smart, you’d put on that old fashioned cuff for a trustworthy reading anyway. But if you’re going to do that, then why bother with the new IoT doodad in the first place?

This blood pressure scenario is simpler than the XY case, because we’re only worried about a single reading. In the general case, however, we have never-ending streams of sensor data, and we need sophisticated software to make heads or tails out of what they’re trying to tell us.

If a calibration attack has compromised our IoT sensor data, then the only way to tell is to check all those data one at a time – a task that becomes laughingly impractical the larger our stream of IoT sensor data becomes.

Encryption won’t help. Testing your software won’t help. And this problem will only get worse over time. Death knell for the IoT? You be the judge.

Intellyx advises companies on their digital transformation initiatives and helps vendors communicate their agility stories. As of the time of writing, none of the organizations mentioned in this article are Intellyx customers. Image credit: Morgan.

Read the original blog entry...

About Jason Bloomberg

Jason Bloomberg is a leading IT industry analyst, Forbes contributor, keynote speaker, and globally recognized expert on multiple disruptive trends in enterprise technology and digital transformation. He is ranked #5 on Onalytica’s list of top Digital Transformation influencers for 2018 and #15 on Jax’s list of top DevOps influencers for 2017, the only person to appear on both lists.

As founder and president of Agile Digital Transformation analyst firm Intellyx, he advises, writes, and speaks on a diverse set of topics, including digital transformation, artificial intelligence, cloud computing, devops, big data/analytics, cybersecurity, blockchain/bitcoin/cryptocurrency, no-code/low-code platforms and tools, organizational transformation, internet of things, enterprise architecture, SD-WAN/SDX, mainframes, hybrid IT, and legacy transformation, among other topics.

Mr. Bloomberg’s articles in Forbes are often viewed by more than 100,000 readers. During his career, he has published over 1,200 articles (over 200 for Forbes alone), spoken at over 400 conferences and webinars, and he has been quoted in the press and blogosphere over 2,000 times.

Mr. Bloomberg is the author or coauthor of four books: The Agile Architecture Revolution (Wiley, 2013), Service Orient or Be Doomed! How Service Orientation Will Change Your Business (Wiley, 2006), XML and Web Services Unleashed (SAMS Publishing, 2002), and Web Page Scripting Techniques (Hayden Books, 1996). His next book, Agile Digital Transformation, is due within the next year.

At SOA-focused industry analyst firm ZapThink from 2001 to 2013, Mr. Bloomberg created and delivered the Licensed ZapThink Architect (LZA) Service-Oriented Architecture (SOA) course and associated credential, certifying over 1,700 professionals worldwide. He is one of the original Managing Partners of ZapThink LLC, which was acquired by Dovel Technologies in 2011.

Prior to ZapThink, Mr. Bloomberg built a diverse background in eBusiness technology management and industry analysis, including serving as a senior analyst in IDC’s eBusiness Advisory group, as well as holding eBusiness management positions at USWeb/CKS (later marchFIRST) and WaveBend Solutions (now Hitachi Consulting), and several software and web development positions.



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Testimonials
This week I had the pleasure of delivering the opening keynote at Cloud Expo New York. It was amazing to be back in the great city of New York with thousands of cloud enthusiasts eager to learn about the next step on their journey to embracing a cloud-first worldl."
@SteveMar_Msft
 
How does Cloud Expo do it every year? Another INCREDIBLE show - our heads are spinning - so fun and informative."
@SOASoftwareInc
 
Thank you @ThingsExpo for such a great event. All of the people we met over the past three days makes us confident IoT has a bright future."
@Cnnct2me
 
One of the best conferences we have attended in a while. Great job, Cloud Expo team! Keep it going."

@Flexential


Who Should Attend?
Senior Technologists including CIOs, CTOs & Vps of Technology, Chief Systems Engineers, IT Directors and Managers, Network and Storage Managers, Enterprise Architects, Communications and Networking Specialists, Directors of Infrastructure.

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Whenever a new technology hits the high points of hype, everyone starts talking about it like it will solve all their business problems. Blockchain is one of those technologies. According to Gartner's latest report on the hype cycle of emerging technologies, blockchain has just passed the peak of their hype cycle curve. If you read the news articles about it, one would think it has taken over the technology world. No disruptive technology is without its challenges and potential impediments that frequently get lost in the hype. The panel will discuss their perspective on what they see as th...
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