Security

Addressing the Aviation Cyber Risk Together

Addressing the Aviation Cyber Risk Together

In 2017, the European Centre for Cybersecurity in Aviation (ECCSA) was established to counter any cyberattack posed to aviation. Supported by the European Union Aviation Safety Agency (EASA), it is a voluntary, cooperative partnership within the aviation community to provide collective support in dealing with cybersecurity incidents, weaknesses and unauthorised interactions that could potentially affect the industry’s resilience and safety. Report by Gerry Ngu, Davide Martini and Ansgar Sickert.

Risk based screening – driving secure and seamless passenger experience through biometrics, machine learning and AI

Risk based screening – driving secure and seamless passenger experience through biometrics, machine learning and AI

Smiths Detection’s Cameron Mann, Global Market Director – Aviation, discusses how Risk Based Screening will take security to the next level.

Preventing terminal closures: a semi-automated monitoring solution for airport security areas

Preventing terminal closures: a semi-automated monitoring solution for airport security areas

An interview with Christoph Kreis, Sales Manager, Dallmeier. By Ross Falconer

Optimising Brussels Airport security screening

Optimising Brussels Airport security screening

Brussels Airport is continuously adapting its infrastructure, processes and products to meet the evolving needs of its passengers. In 2017/18, the Passenger Experience department of Brussels Airport had a particular focus on how to improve the security operating model to avoid queuing and thus reduce stress. Thomas Sterken, Capacity Planning & Optimisation Manager at Brussels Airport Company, tells us the successful story.

“Deep learning will improve operations, customer experience and make infrastructure and people safer”

“Deep learning will improve operations, customer experience and make infrastructure and people safer”

Smiths Detection is utilising deep learning and deploying it to create effective automated solutions to detect prohibited items. Deep learning is said to provide two key things: better object detection capabilities and reduced pressure on resources – allowing for improved efficiency. By Ross Falconer