Abstract. Secure messaging applications have been used for the purposes of major crime, creating the need for forensic research into the area. This paper forensically analyses two secure messaging applications, Wickr and Telegram, to recover artefacts from and then to compare them to reveal the differences between the applications. The artefacts were created on Android platforms by using the secure features of the applications, such as ephemeral messaging, the channel function and encrypted conversations. The results of the experiments documented in this paper give insight into the organisation of the data structures by both Wickr and Telegram, as well as the exploration of mobile digital forensics techniques to recover artefacts removed by the ephemeral functions.
Abstract-Recent and sudden rise in the popularity of drones or UAVs (Unmanned Air Vehicles) can be attributed to the reduction in weight of electronic components and the relative ease by which the drones can be operated. Their potential applications range from simple leisure and recreational purposes to photography, transport, surveying, security, the list goes on. With this demand and subsequent availability, there has also been a rise in drones used in crimes. This creates a need for forensic analysis into these devices, which often use custom electronic flight systems for which appropriate forensic tools have not been developed. This paper covers the use and development of open source tools to aid forensic analyses of two popular drones -the DJI Phantom 3 Professional and AR Drone 2 with the aim of reconstructing the actions taken by these drones, identification of owners or operators, and extraction of data from associated mobile devices. While different UAV systems can vary in their operations owing to their capabilities, some generic methods will be used in analyses and extractions of the data and then results will be compared between models.
Federated identity management (FIM) is an arrangement that can be made among multiple organisations that lets subscribers use the same identification data to obtain access to the secured resources of all organisations in the group. In many research communities there is an increasing interest in a common approach to FIM as there is obviously a large potential for synergies. FIM4R [1] provides a forum for communities to share challenges and ideas, and to shape the future of FIM for our researchers. Current participation covers high energy physics, life sciences and humanities, to mention but a few. In 2012 FIM4R converged on a common vision for FIM, enumerated a set of requirements and proposed a number of recommendationsfor ensuring a roadmap for the uptake of FIM [2]. In summer 2018, FIM4R published an updated version of this paper [3]. The High Energy Physics (HEP) Community has been heavily involved in creating both the original white paper and the new version, which documented the progress made in FIM for Research, in addition to the current challenges. This paper presents the conclusions of this second FIM4R white paper and a summary of the identified requirements and recommendations. We focus particularly on the direction being taken by the Worldwide LHC Computing Grid (WLCG), through the WLCG Authorisation Working Group, and the requirements gathered from the HEP Community.
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