Compared to the same period in 2017, the number of lost, stolen or compromised records increased by a staggering 133 percent, though the total number of breaches slightly decreased over the same period, signaling an increase in the severity of each incident.
A total of six social media breaches, including the Cambridge Analytica-Facebook incident, accounted for over 56 percent of total records compromised. Of the 945 data breaches, 189 (20 percent of all breaches) had an unknown or unaccounted number of compromised data records.
The Breach Level Index is a global database that tracks data breaches and measures their severity based on multiple dimensions, including the number of records compromised, the type of data, the source of the breach, how the data was used, and whether or not the data was encrypted. By assigning a severity score to each breach, the Breach Level Index provides a comparative list of breaches, distinguishing data breaches that are not serious versus those that are truly impactful.
According to the Breach Level Index, almost 15 billion data records have been exposed since 2013, when the index began benchmarking publicly disclosed data breaches. During the first six months of 2018, more than 25 million records were compromised or exposed every day, or 291 records every second, including medical, credit card and/or financial data or personally identifiable information. This is particularly concerning, since only one percent of the stolen, lost or compromised data records were protected by encryption to render the information useless, a percent-and-a-half drop compared to the first six months of 2017.
“Obviously, this year social media has been the top industry and threat vector for the compromise of personal data, a trend we can expect to continue with more and more sectors leveraging these platforms to reach key audiences, especially political teams gearing up for major elections,” said Jason Hart, vice president and chief technology officer for data protection at Gemalto. “We also expect to see more data breaches reported by European Union countries bound by the new General Data Protection Regulation and in Australia with the new Notifiable Data Breaches law. We should be careful not to misconstrue this as an increase in overall incidents in these areas but rather as a more accurate reflection of what is actually going on.”
Primary Sources of Data Breaches
Malicious outsiders caused the largest percentage of data breaches (56 percent), a slight decrease of almost seven percent over the second half of 2017 and accounted for over 80 percent of all stolen, compromised or lost records. Accidental loss accounted for over 879 million (9 percent) of the records lost this half, the second most popular cause of data breaches representing over one third of incidents. The number of records and incidents involved in malicious insider attacks fell by 50 percent this half compared to the same time period in 2017.
Leading Types of Data Breaches
Identity theft continues to be the leading type of data breach, as it has been since Gemalto first started tracking in 2013. While the number of identity theft breaches increased by 13 percent over the second half of 2017 to just over 64 percent, the number of records stolen through these incidents increased by 539 percent, representing over 87 percent of all records stolen.
Financial access incidents show a disturbing trend in the escalation of severity. Though overall incident numbers are on the decline H1 2017 vs. H1 2018 (171 for H1 2017 and 123 for H1 2018), the number of records breached increased H1 2017 vs. H1 2018 (2.7 million and 359million) respectively.
Industries Most Affected by Data Breaches
Most sectors saw an increase in the number of incidents compared to the previous half – the exceptions were government, professional services, retail and technology, though both government and retail saw an increase in the number of records breached through fewer events.
Healthcare continues to lead in number of incidents (27 percent). The largest such incident, 211 LA County, exposed 3.5 million records through accidental loss.
Social media ranks top for number of records breached (56 percent) due to the high-profile customer data compromises at Facebook and Twitter, involving 2.2 billion and 336 million respectively.
Geographic Distribution of Data Breaches
North America still makes up the majority of all breaches and the number of compromised records, 59 and 72 percent respectively. The United States is still by far and away the most popular target for attacks, representing more than 57 percent of global breaches and accounting for 72 percent of all records stolen, though overall incidents are down 17 percent over the prior half.
With the implementation of the Notifiable Data Breaches law, the number of incidents in Australia increased dramatically from 18 to 308 as could be expected.
Europe saw 36 percent fewer incidents but a 28 percent increase in the number of records breached indicating growing severity of attacks. The United Kingdom remains the most breached country in the region. With the General Data Protection Regulation in full effect for the second half of 2018, the number of reported incidents could begin to rise.
Motor Racing meets Machine Learning
The futuristic car technology of tomorrow is being built today in both racing cars and
toys, writes ARTHUR GOLDSTUCK
The car of tomorrow, most of us imagine, is being built by the great automobile manufacturers of the world. More and more, however, we are seeing information technology companies joining the race to power the autonomous vehicle future.
Last year, chip-maker Intel paid $15.3-billion to acquire Israeli company Mobileye, a leader in computer vision for autonomous driving technology. Google’s autonomous taxi division, Waymo, has been valued at $45-billion.
Now there’s a new name to add to the roster of technology giants driving the future.
Amazon Web Services, the world’s biggest cloud computing service and a subsidiary of Amazon.com, last month unveiled a scale model autonomous racing car for developers to build new artificial intelligence applications. Almost in the same breath, at its annual re:Invent conference in Las Vegas, it showcased the work being done with machine learning in Formula 1 racing.
AWS DeepRacer is a 1/18th scale fully autonomous race car, designed to incorporate the features and behaviour of a full-sized vehicle. It boasts all-wheel drive, monster truck tires, an HD video camera, and on-board computing power. In short, everything a kid would want of a self-driving toy car.
But then, it also adds everything a developer would need to make the car autonomous in ways that, for now, can only be imagined. It uses a new form of machine learning (ML), the technology that allows computer systems to improve their functions progressively as they receive feedback from their activities. ML is at the heart of artificial intelligence (AI), and will be core to autonomous, self-driving vehicles.
AWS has taken ML a step further, with an approach called reinforcement learning. This allows for quicker development of ML models and applications, and DeepRacer is designed to allow developers to experiment with and hone their skill in this area. It is built on top of another AWS platform, called Amazon SageMaker, which enables developers and data scientists to build, train, and deploy machine learning quickly and easily.
Along with DeepRacer, AWS also announced the DeepRacer League, the world’s first global autonomous racing league, open to anyone who orders the scale model from AWS.
As if to prove that DeepRacer is not just a quirky entry into the world of motor racing, AWS also showcased the work it is doing with the Formula One Group. Ross Brawn, Formula 1’s managing director of Motor Sports, joined AWS CEO Andy Jassy during the keynote address at the re:Invent conference, to demonstrate how motor racing meets machine learning.
“More than a million data points a second are transmitted between car and team during a Formula 1 race,” he said. “From this data, we can make predictions about what we expect to happen in a wheel-to-wheel situation, overtaking advantage, and pit stop advantage. ML can help us apply a proper analysis of a situation, and also bring it to fans.
“Formula 1 is a complete team contest. If you look at a video of tyre-changing in a pit stop – it takes 1.6 seconds to change four wheels and tyres – blink and you will miss it. Imagine the training that goes into it? It’s also a contest of innovative minds.”
Formula 1 racing has more than 500 million global fans and generated $1.8 billion in revenue in 2017. As a result, there are massive demands on performance, analysis and information.
During a race, up to 120 sensors on each car generate up to 3GB of data and 1 500 data points – every second. It is impossible to analyse this data on the fly without an ML platform like Amazon SageMaker. It has a further advantage: the data scientists are able to incorporate 65 years of historical race data to compare performance, make predictions, and provide insights into the teams’ and drivers’ split-second decisions and strategies.
This means Formula 1 can pinpoint how a driver is performing and whether or not drivers have pushed themselves over the limit.
“By leveraging Amazon SageMaker and AWS’s machine-learning services, we are able to deliver these powerful insights and predictions to fans in real time,” said Pete Samara, director of innovation and digital technology at Formula 1.
LG rethinks portable speakers
LG adds three sizes to its XBoom Go portable speaker line in a portable revision, writes BRYAN TURNER.
Portable Bluetooth speakers are fairly commonplace at a pool party because they’re battery-powered. The only issue is that louder speakers usually distort the music or break the bank. The LG XBoom aims to change this.
LG has partnered with Meridian Audio to produce great sounding speakers that can go loud without distorting the audio. Meridian Audio is an expert in high-performance, high-fidelity audio experiences. The company is best known for producing the industry’s first audiophile-quality compact disc player and provide audio equipment to McLaren and Jaguar Land Rover.
The Bluetooth software in the XBoom Go is Qualcomm aptX HD compatible, meaning that 24bit vinyl-quality audio can be played through this speaker over Bluetooth instead of standard-fidelity audio.
The major phone assistants feature on these speakers, with tethered Google Assistant or Apple Siri functionality from one’s smartphone. This makes it very convenient to use the voice assistant button to skip tracks and change music when one’s hands are wet.
Three models of the XBoom Go series – the PK3, PK5 and PK7 – offer different audio functions depending on the audio needs of the user. Best fits for these speakers are:
PK3 – The Pool Friendly Speaker: The PK3 is IPX7 water resistant, up to 1 metre for 30 minutes, making this speaker accident proof at pool parties. Boasting up to 12 hours of playback from its built-in battery, this speaker will last as long as the party.
PK5 – The Party Friendly Speaker: Even if the lunch braai turns into a midnight feast, this speaker will play throughout as its battery lasts up to 18 hours. Clear Vocal technology is added to the PK5, which reduces audio imperfections from the music for a sharper sound. It is also water and splash resistant and has a handle, allowing for it to be easily carried. Built-in LED lights which pulse with the beat of the music on this speaker provide a light show for any song.
PK7 – The Audiophile’s Speaker: With a battery life that lasts for up to 22 hours, the PK7 also contains an LED light to the rhythm of the sound. The speaker integrates a convenient handle grip that allows for it to be transported securely. The powerful PK7 Bluetooth speaker also distributes its high frequencies across two separate tweeters for more precise sonic detail.
Overall, LG’s XBoom PK portable speakers are a phenomenal set of high-quality wireless speakers.