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Fin cyber attacks rise

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Kaspersky Labs has revealed that financial malware rose 15.6% from Q1 to Q2 during this year, which it believes is partly due to two leading trojan authors joining forces.

Financial malware is evolving through a collaboration between malware creators, according to the results of Kaspersky Lab’s IT threat evolution Report for Q2. During the quarter Kaspersky Lab products blocked 1,132,031 financial malware attacks on users, a rise of 15.6% compared to the previous quarter. One of the reasons for the rise is the collaboration between the authors of two leading banking Trojans: Gozi Trojan and Nymaim Trojan, pushing both into the top 10 ranking of financial malware.

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Banking Trojans remain the most dangerous online threats. These malware are often propagated via compromised or fraudulent websites and spam emails and, after infecting users mimic an official online banking page in an attempt to steal users’ personal information, such as bank account details, passwords, or payment card details.

According to the Kaspersky Lab statistics for the quarter, Turkey became the country most attacked by this type of malware: 3.45% of Kaspersky Lab product users in the country encountered such an online threat during the quarter. Russia was in second place, the target of 2.9% of online threats, followed by Brazil with 2.6%. The Olympic Games are likely to push Brazil up the attack list in Q3.

The main culprits were the Gozi and Nymaim banking Trojans, with the authors of both joining forces. The Nymain Trojan was initially designed as ransomware, blocking access to users’ valuable data and then demanding a ransom to unblock it. However, the latest version includes banking Trojan functionality from Gozi source code that provides attackers with remote access to victims’ PCs. Additional, and apparently also joint efforts have been put into the distribution of this malware and this cooperation pushed both into the top 10 financial malware rating. Gozi took second place with 3.8% of users whose security software triggered a financial malware detection, while Nymaim took sixth place with 1.9%. The list of financial malware continues to be led by Zbot. 15.17% of those hit by financial malware were attacked with this Trojan.

“Financial malware are still active and developing rapidly. New banking Trojans have significantly extended their functionality by adding new modules, such as ransomware. If criminals do not succeed in stealing users’ personal data, they will encrypt it and demand a ransom. Yet another example is the Neurevt Trojan family. This malware was used not only to steal data in online banking systems, but also to send out spam. We at Kaspersky Lab are responding to this situation by expanding and sharpening the way we detect and classify financial malware – so that we can block it even faster,” notes Denis Makrushin, Security expert at Kaspersky Lab.

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Smart home arrives in SA

The smart home is no longer a distant vision confined to advanced economies, writes ARTHUR GOLDSTUCK.

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The smart home is a wonderful vision for controlling every aspect of one’s living environment via remote control, apps and sensors. But, because it is both complex and expensive, there has been little appetite for it in South Africa.

The two main routes for smart home installation are both fraught with peril – financial and technical.

The first is to call on a specialist installation company. Surprisingly, there are many in South Africa. Google “smart home” +”South Africa”, and thousands of results appear. The problem is that, because the industry is so new, few have built up solid track records and reputations. Costs vary wildly, few standards exist, and the cost of after-sales service will turn out to be more important than the upfront price.

The second route is to assemble the components of a smart home, and attempt self-installation. For the non-technical, this is often a non-starter. Not only does one need a fairly good knowledge of Wi-Fi configuration, but also a broad understanding of the Internet of Things (IoT) – the ability for devices to sense their environment, connect to each other, and share information.

The good news, though, is that it is getting easier and more cost effective all the time.

My first efforts in this direction started a few years ago with finding smart plugs on Amazon.com. These are power adaptors that turn regular sockets into “smart sockets” by adding Wi-Fi and an on-off switch, among other. A smart lightbulb was sourced from Gearbest in China. At the time, these were the cheapest and most basic elements for a starter smart home environment.

Via a smartphone app, the light could be switched on from the other side of the world. It sounds trivial and silly, but on such basic functions the future is slowly built.

Fast forward a year or two, and these components are available from hundreds of outlets, they have plummeted in cost, and the range of options is bewildering. That, of course, makes the quest even more bewildering. Who can be trusted for quality, fulfilment and after-sales support? Which products will be obsolete in the next year or two as technology advances even more rapidly?

These are some of the challenges that a leading South African technology distributor, Syntech, decided to address in adding smart home products to its portfolio. It selected LifeSmart, a global brand with proven expertise in both IoT and smart home products.

Equally significantly, LifeSmart combines IoT with artificial intelligence and machine learning, meaning that the devices “learn” the best ways of connecting, sharing and integrating new elements. Because they all fall under the same brand, they are designed to integrate with the LifeSmart app, which is available for Android and iOS phones, as well as Android TV.

Click here to read about how LifeSmart makes installing smart home devices easier.

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Matrics must prepare for AI

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By Vian Chinner, CEO and founder of Xineoh.

Many in the matric class of 2018 are currently weighing up their options for the future. With the country’s high unemployment rate casting a shadow on their opportunities, these future jobseekers have been encouraged to look into which skills are required by the market, tailoring their occupational training to align with demand and thereby improving their chances of finding a job, writes Vian Chinner – a South African innovator, data scientist and CEO of the machine learning company specialising in consumer behaviour prediction, Xineoh.

With rapid innovation and development in the field of artificial intelligence (AI), all careers – including high-demand professions like engineers, teachers and electricians – will look significantly different in the years to come.

Notably, the third wave of internet connectivity, whereby our physical world begins to merge with that of the internet, is upon us. This is evident in how widespread AI is being implemented across industries as well as in our homes with the use of automation solutions and bots like Siri, Google Assistant, Alexa and Microsoft’s Cortana. So much data is collected from the physical world every day and AI makes sense of it all.

Not only do new industries related to technology like AI open new career paths, such as those specialising in data science, but it will also modify those which already exist. 

So, what should matriculants be considering when deciding what route to take?

For highly academic individuals, who are exceptionally strong in mathematics, data science is definitely the way to go. There is, and will continue to be, massive demand internationally as well as locally, with Element-AI noting that there are only between 0 and 100 data scientists in South Africa, with the true number being closer to 0.

In terms of getting a foot in the door to become a successful data scientist, practical experience, working with an AI-focused business, is essential. Students should consider getting an internship while they are studying or going straight into an internship, learning on the job and taking specialist online courses from institutions like Stanford University and MIT as they go.

This career path is, however, limited to the highly academic and mathematically gifted, but the technology is inevitably going to overlap with all other professions and so, those who are looking to begin their careers should take note of which skills will be in demand in future, versus which will be made redundant by AI.

In the next few years, technicians who are able to install and maintain new technology will be highly sought after. On the other hand, many entry level jobs will likely be taken care of by AI – from the slicing and dicing currently done by assistant chefs, to the laying of bricks by labourers in the building sector.

As a rule, students should be looking at the skills required for the job one step up from an entry level position and working towards developing these. Those training to be journalists, for instance, should work towards the skill level of an editor and a bookkeeping trainee, the role of financial consultant.

This also means that new workforce entrants should be prepared to walk into a more demanding role, with more responsibility, than perhaps previously anticipated and that the country’s education and training system should adapt to the shift in required skills.

The matric classes of 2018 have completed their schooling in the information age and we should be equipping them, and future generations, for the future market – AI is central to this.

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