The increasing use of big data comes along with the problem of ensuring correct and secure data access. There is a need to maximise the data dissemination whilst controlling their access. Depending on the type of users different qualities and parts of data are shared. We introduce an alteration mechanism, more precisely a restriction one, based on a policy analysis language. The alteration reflects the level of trust and relations the users have, and are represented as policies inside the data sharing agreements. These agreements are attached to the data and are enforced every time the data are accessed, used or shared. We show the use of our alteration mechanism with a military use case, where different parties are involved during the missions, and they have different relations of trust and partnership.

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We examine the impact of increasing autonomy on the use of airborne drones in joint operations by collaborative parties. As the degree of automation employed increases towards the level implied by the term 'autonomous', it becomes apparent that existing control mechanisms are insufficiently flexible. Using an architecture introduced by Bertino et al. in [1] and Verma et al. in [2], we consider the use of dynamic policy modification as a means to adjust to rapidly evolving scenarios. We show mechanisms which allow this approach to improve the effectiveness of operations without compromise to security or safety.

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