Although a number of terrain generation techniques have been proposed during the last few years, all of them have some key constraints. Modelling techniques depend highly upon designer′s skills, time, and effort to obtain acceptable results, and cannot be used to automatically generate terrains. The simpler methods allow only a narrow variety of terrain types and offer little control on the outcome terrain. The Genetic Terrain Programming technique, based on evolutionary design with Genetic Programming, allows designers to evolve terrains according to their aesthetic feelings or desired features. This technique evolves Terrain Programmes (TPs) that are capable of generating a family of terrains—different terrains that consistently present the same morphological characteristics. This paper presents a study about the persistence of morphological characteristics of terrains generated with different resolutions by a given TP. Results show that it is possible to use low resolutions during the evolutionary phase without compromising the outcome, and that terrain macrofeatures are scale invariant.

TikTok is a social network known mostly for the creation and sharing of short videos and for its popularity for those under 30 years old. Although it has only appeared as Android and iOS apps in 2017, it has gathered a large user base, being one of the most downloaded and used app. In this paper, we study the digital forensic artifacts of TikTok's app that can be recovered with a post mortem analysis of an Android phone, detailing the databases and XML with data that might be relevant for a digital forensic practitioner. We also provide the module tiktok.py to extract several forensic artifacts of TikTok in a digital forensic analysis of an Android phone. The module runs under Autopsy's Android Analyzer environment. Although TikTok offers a rich set of features, it is very internet-dependent, with a large amount of its inner data kept on the cloud, and thus not easily accessible in a post mortem analysis. Nonetheless, we were able to recover messages exchanged through the app communications channels, the list of TikTok users that have interacted with the TikTok account used at the smartphone, photos linked to the app and in some circumstances, TikTok's videos watched by the smartphone's user.