Umit Karabiyik

TL;DR: In this paper, the authors study the research studies that are helpful for user characterization as online users may not always reveal their true identity or attributes, focusing on user attribute determination such as gender and age, user behavior analysis such as motives for deception, mental models that are indicators of user behavior, user categorization such as bots versus humans, and entity matching on different social networks.

TL;DR: This paper focuses on user attribute determination such as gender and age; user behavior analysis such as motives for deception; mental models that are indicators of user behavior; user categorization such as bots versus humans; and entity matching on different social networks.

TL;DR: This paper analyzes widely used encrypted Instant Messaging applications namely WeChat, Telegram, Viber and Whatsapp, and shows how these applications store data in the Android file system and discusses forensic implications of the IM applications that are utilizing encryption.

TL;DR: This chapter provides an overview and classification of digital forensics research and applications in these emerging domains in a comprehensive manner and provides a survey of the existing efforts from the device level to network level while also pointing out future research opportunities.

TL;DR: A technical forensic process consisting of ten technical phases for the analysis of RPAS forensic artifacts is proposed, which can reduce the complexity of the identification and investigation of drones.