DeepSec 2018 calls for Trainings and Content – Focus Mobility

René Pfeiffer/ January 31, 2018/ Call for Papers, Conference, Discussion

The DeepSec 2018 Call for Papers is open. The focus for this year is mobility. Mobile networks and mobile devices have established themselves firmly in our society. And mobility doesn’t end here. Transport is transforming into new technologies by incorporating access to data networks (yes, that’s the „Cloud“), the power grid (think electric vehicles), drones, new propulsion systems, artificial intelligent (sometimes even both!) personal assistants and algorithms (mathematics has become mainstream). The ever growing number of dependencies between components are a fertile breeding ground for cascading errors that impact more than your new car or your latest order from your favourite online shop. Information security must become as mobile as home deliveries of goods and electric power. And it must become common. Infosec isn’t optional any more. Since bug logos have captured the minds of news readers, the message of information security should do this, too. Sadly the products we use and rely on don’t seem to catch up.

We are looking for content to address this aspect of our modern society. Mobility is the red line to guide you, but of course we are interested in anything that you are researching. We have become much more interconnected since the days of the first DeepSec conference. Let’s have a look at the consequences. There are many perfect tens out there, especially when you connect All teh Things.

We start early, because we want to get your submissions for trainings first! Since DeepSec is in the last week of November, we like to inform potential trainees as early as possible in order to facilitate the booking of tickets. Please send us your ideas! Don’t waste time!

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About René Pfeiffer

System administrator, lecturer, hacker, security consultant, technical writer and DeepSec organisation team member. Has done some particle physics, too. Prefers encrypted messages for the sake of admiring the mathematical algorithms at work.