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Network Analytics Show the Rise of Mobile Phone Malware

By Mae Kowalke, TMCnet Contributor

It is a scene out of a Mission Impossible movie, only the threat is real. Two product managers and a VP sit down to discuss the latest product release, one that’s been under wraps for months. While the group thinks it is safely beyond the ears of its competition, unknowingly one of those present in the meeting has had malware installed on his Android phone. The malware activates the microphone on the smartphone, and the whole meeting is taped and sent to the competition.

This nightmare scenario is unfortunately not beyond the possible these days.

Kindsight, an Alcatel-Lucent suite of solutions, leverages network-based security analytics such as its 9900 Wireless Network Guardian to reveal the latest trends on security threats to fixed and mobile networks, and its Q2 2013 Kindsight Security Labs Malware Quarterly Report reveals that the number of mobile spyware applications discovered this quarter is on the rise, according to an Alcatel-Lucent blog post, Android phones playing “I spy” at home and at work..

Six Degrees of Mobile Data Plan Innovation: Capacity-Based Plans

In this seventh installment of the Six Degrees of Mobile Data Plan Innovation blog series, Alcatel-Lucent’s Rich Crowe (@rhcrowe) looks at capacity-based mobile data plans. With capacity-based plans, subscribers are encouraged to use the network when it has spare capacity or to pay a little bit more as the network nears its capacity. Mobile operators can use these plans to reduce network congestion, monetize peak-time data traffic, and better manage the investment required to address continually growing demand for data.

Congested networks and wasted capacity

Fast-rising mobile data traffic – driven by increasing consumption of real-time entertainment on the go – is putting a strain on mobile networks (see Figure 1 as an example). Mobile network operators are working hard to increase capacity so they can meet peak demand and keep subscribers satisfied. Adding capacity can help ensure that users don’t encounter a slow or unresponsive network during mobile data traffic peaks. But it’s an expensive solution that means even more capacity goes unused at off-peak times. Capacity-based plans are an excellent way to slow network growth requirements while monetizing available capacity.

Six Degrees of Mobile Data Plan Innovation: Loyalty-Based Plans

In this sixth installment of the Six Degrees of Mobile Data Plan Innovation blog series, Alcatel-Lucent’s Rich Crowe (@rhcrowe) examines loyalty-based mobile data plans. With loyalty-based plans, subscribers get rewards for keeping up active relationships with mobile network operators. Operators can use these plans as the basis for retaining subscribers, encouraging increased spending and data usage, or forming mutually profitable partnerships with retailers.

RAISE the bar

Airlines offer them. So do hotels, credit card companies and, yes, mobile network operators. “They” are loyalty programs that reward customers for making frequent purchases. Airlines, hotels and credit cards tend to stick to the script, offering free flights, nights and merchandise. Mobile network operators have no such script. Today, operators reward loyal customers with voice minutes, text messages, accessories, ringtones, discounted device upgrades or even dining, shopping, travel and spa services. As mobile network operators’ business models grow more data-centric, the creative use of mobile data will become essential to ensuring that their loyalty-based plans remain relevant.

How the Cloud is Making Datacenters Dynamic

By: Sunil Khandekar, CEO, Nuage Networks

The future of datacenters is virtual, automatic, cloud-based, instantaneous, and boundary-less. These might not be the words associated with datacenters today -- you're more likely to hear slow, cumbersome, and related words in the same breath -- but software is driving this revolution in networking.

It has been undergoing a massive shift to the cloud for years now, driven by enterprise motivations to consolidate, as well as to use computer resources more optimally and efficiently. While computing virtualization has driven this transformation, the network has fallen woefully behind. Imagine having 20 virtual machines (VMs) in a server: Tomorrow that number grows to 100, to 200 the day after, and so on.

As you realize the implications of this growth in the datacenter, it becomes clear that the traditional networking approach of connecting those VMs is mindboggling because it doesn't deliver the true promise of the cloud -- instant access to apps anytime, anywhere and with no disruptions.

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