Paul Wallbank – Brilliant Communications

Tag: iot

  • Securing the drones

    Securing the drones

    While we assume military equipment has far higher levels of IT security, it isn’t always the case reports Ars Technica.

    Allegedly the US National Security Agency and Britain’s GCHQ were able to intercept the video feeds of Israeli and Syrian drone aircraft using off the shelf software. While it appears security has become more sophisticated on this equipment, it is a concern that data feeds can be monitored from military equipment.

    This is even more concerning given the reliance of software and telemetry systems in modern weapons. The troubled F-35 project shows just how complex computer code has now become in military equipment and it is safe to say some of those bugs will create weaknesses in the systems.

    For those of us with more modest security needs, all is not lost though as Rob Joyce, the NSA’s hacker-in-chief, has given some useful tips on how to protect your systems. These are worth following although Joyce is quite clear that you’ll have to work hard to stay ahead of a sophisticated and persistent cyber-enemy.

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  • Knowing what we don’t know

    Knowing what we don’t know

    The 2016 Cisco Security report is in many ways an encouraging document, while it describes a litany of threats facing the modern business the fact managers are less confident about their defenses is a good thing.

    Of the 2432 security executives surveyed 59% claimed their security infrastructure was up to date against 64 percent said the same. Acknowledging this is motivating them to improve their defenses.

    For industry, the real concern is the small business sector where there’s a clear decline in the use of IT security tools. As the Target breach showed, trusted contractors and suppliers provide a weakness in an organisation’s systems that malicious actors are keen to exploit.

    In Cisco’s analysis, the main reasons for SMBs lack of concern is their belief they are too small to be valuable to hackers and most of their IT management is outsourced.

    A shift to the cloud shouldn’t be understated, particularly given many SMBs are shifting their IT functions onto cloud services. While this doesn’t fully protect businesses, the cloud providers certainly offer a far higher level of protection that the local plumbing contractor relying on a mom and pop computer support service.

    The bad guys however are responding to that shift with Cisco reporting increased browser based and DNS attacks, both of these are useful in compromising cloud computing services which means both service providers and end users have to be vigilant about security.

    At all levels of business though the lack of confidence in security has major ramifications as the Internet of Things is rolled out and common devices start being connected to fragile and often compromised networks.

    The good news for vendors like Cisco is this lack of confidence could spur a new wave of business investment as companies improve their network security.

    Another important aspect of CIOs and business owners not being confident about their network security is they are far less likely to assume their systems are safe or to passively accept vendor assurances about their safety.

    For all of us a customers and users of these technologies, a greater focus on security by the organisations we deal with should be welcomed as well.

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  • Keeping the IoT simple and safe

    Keeping the IoT simple and safe

    Ten years ago a joke going around was “what if Microsoft built cars?” The answer summed up the frustrations users had with personal computers and the differences in engineering standards between traditional industries and that of the IT sector.

    As we enter the Internet of Things era, that tension between consumer devices and good engineering continues as shown by a software bug that rendered Nest thermostats useless.

    That poor software would drain the battery without warning the user, illustrates how poorly designed many of these devices are.

    Ironically Nest’s owners, Google, held a conference earlier this week where the company’s leaders flagged the importance of standards, security and privacy.

    In a call to action for the IoT industry, Google’s lead advocate Vint Cerf, also known as one of the “fathers of the Internet,” warned that compatibility, security, and privacy could be obstacles to the IoT’s success.

    Reliability is also important, particularly when talking about safety and security – Nest also make carbon monoxide detectors – where a device crashing or failing can have terrible consequences.

    At present most of the Internet of Things is about the gimmick of connecting devices to the cloud and controlling them from your mobile phone. Consumers are not going to embrace IoT products if they add cost, complexity and risk to their lives.

    Keeping it simple and safe are probably the most important things designers of IoT devices can do.

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  • The limitations of algorithms

    The limitations of algorithms

    Are algorithms getting too complex asks Forbes Magazine’s Kalev Leetaru in an examination of how the formulas that are increasingly governing our lives have grown beyond the understanding of their creators.

    With computer code now controlling most of the devices and processes we rely on in daily life, understanding the assumptions and limitations of  those programs and formulas becomes essential for designers, managers and users.

    Leetaru cites the Apollo 13 malfunction and Volvo’s recent embarrassment where a self driving car nearly ran over a group of journalists however there’s no shortage of more tragic mistakes from the consequences of software design decisions, the crash of Air France 447 over the Atlantic Ocean with the loss of 228 lives where two pilots who stalled their plane due to misunderstanding the characteristics of their cockpit  is one recent sad example.

    As business and government becomes more dependent on software, more risks will arise from managers not understanding the limitations of the algorithms they use in their business.

    Similarly a range of industries to exploit the quirks of algorithm driven markets are developing, the Search Engine Optimisation business designed to exploit quirks in Google’s search algorithm is an established example but more will come to the fore as people find ways to profit by anticipating price movements.

    However algorithms have a way to go before they fully take over, as Salon’s examination of Facebook’s news feed reveals a key part of the social media service’s deciding what appears on users screens are the decisions of around thousand ‘power users’.

    The news feed algorithm had blind spots that Facebook’s data scientists couldn’t have identified on their own. It took a different kind of data—qualitative human feedback—to begin to fill them in.

    While Facebook falls back on large focus groups to fill in the algorithm’s gaps, Uber has found a different problem in estimating driver arrival times where it’s currently not possible to accurately calculate estimated times of arrival in real time.

    “The best way to minimise time differential issue is to communicate statistically expected time, which will result in almost always being different than actual (i.e. wrong), but will be less different/wrong on average,” says Uber CEO Travis Kalanick.

    Uber and Facebook’s challenges with their algorithms illustrate there’s some way to go before all critical business functions can be handed over to software but as automation becomes standard in many areas, not least autonomous vehicles, the limitations of programs and the assumptions of programmers will become apparent.

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  • When autonomous vehicles and humans collide

    When autonomous vehicles and humans collide

    With the rapid advances in driverless cars, it was only a matter of time before the question of what happens when people encounter them would be answered.

    It turns out not too well for the autonomous vehicles reports Bloomberg citing a study by the University of Michigan’s Transportation Research Institute that found driverless cars have accident rates double those of normal vehicles.

    As it turns out, those accidents are usually minor and are caused by humans colliding with the autonomous vehicles as the law abiding computers catch drivers unawares.

    That people aren’t very good at driving cars isn’t a surprise but now we’re seeing what happens when distracted, mistake prone humans encounter cautious and usually correct computers.

    We now have to start thinking about what happens when artificial intelligence encounters human frailty.

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