Carrier Level Immutable Protection (CLIP): secure and trusted technology to empowering carriers.

Tuesday, March 26, 2019

A year ago, we were signing our partnership agreement with Rivetz, where we set the stage for the creation of a new decentralized model to enhance data security and management. Currently, we are in a position to talk about our first prototypes of a technology developed to provide security to all Movistar SIM-based mobile devices. To this end, we have used hardware components nowadays included in billions of devices: the so-called Trusted Execution Environments (TEE).

Alliance ElevenPaths Rivetz Wanchain Civic imagen

If you want to change your employees’ security habits, don’t call their will, modify their environment instead

Wednesday, March 13, 2019

You’re in a coffee bar and you need to connect your smartphone to a Wi-Fi, so you check your screen and see the following options. Imagine that you know or can ask for the key, in case it were requested, which one would you choose?

Wi-Fi networks image

Depending on your security awareness level, you will choose the first one: mi38, that seems to have the best signal; or v29o, that has not such a bad signal but is secured and requests a password. Imagine now that you are in the same coffee bar, but in this case you have the following list of Wi-Fi networks on your smartphone screen. Which one would you choose now?

In pursuit of the perfect phishing that would trick even you

Monday, March 4, 2019

Imagine that you flip a coin into the air (with no trick) six consecutive times: which of the three following sequences do you think is more likely to appear, considering that "heads" is represented by 1 and "tails" by 0?

    1. 1 0 1 0 1 0
    2. 1 1 1 1 1 1
    3. 1 0 1 1 0 1

Most of the people choose the third sequence ⸺1 0 1 1 0 1⸺ because it seems to be the most random one. First two sequences are too steady to match our intuitive idea of randomness. Actually, the three sequences are equally probable, with a probability of (1/6)6. However, as we are more used to see randomised than uniform sequences (since in fact they are larger), in some way the third sequence represents better our preconceived idea of how randomness must be.

This thought error is indeed called representativeness heuristic: we assume an example to be part of a class according to how well such example represents our stereotype (preconceived idea) of the class. For instance, if you see a man in leather jacket with a punk bracelet, it will be easier for you to imagine that he likes heavy metal rather than if he wore a suit and tie and used hair gel.

Don’t confuse the frequency of an incident with the ease you remember it

Imagine that there have been a few robberies in two parks of your town that have got all the attention for days. This afternoon you would like to go running around the park next to your home, so these incidents will quickly come to your mind, and this fact will make you think about the probability of being a victim of a robbery (or something worse) in that park. Your mind will make the following association:

Park = Danger!!!

The images you have watched on the TV and the Internet will make you overestimate the probability that you may be the next victim in any other park from a different town. As a consequence, you could avoid going running around the park near your home (or any other park) until the media echo ends. Only when you stop thinking "Park = Danger!!", you will frequent parks again.