Visible to the public Dynamic Hierarchical Trust Management of Mobile Groups and Its Application to Misbehaving Node Detection

TitleDynamic Hierarchical Trust Management of Mobile Groups and Its Application to Misbehaving Node Detection
Publication TypeConference Paper
Year of Publication2014
AuthorsIng-Ray Chen, Jia Guo
Conference NameAdvanced Information Networking and Applications (AINA), 2014 IEEE 28th International Conference on
Date PublishedMay
Keywordsadaptability, aerial vehicles, agility enhancement, application performance maximization, COI dynamic hierarchical trust management protocol, COI mission-oriented mobile group management, communication-device-carried personnel, community of interest, community-of-interest mobile groups, competence, connectivity, cooperativeness, emergency response situations, emergency services, Equations, ground vehicles, heterogeneous mobile entities, heterogeneous mobile environments, honesty, intimacy, intrusion tolerance, Mathematical model, military communication, military operation, misbehaving node population, Mobile communication, mobile computing, node density, Peer-to-peer computing, Protocols, quality of service, quality-of-service characters, robots, social behaviors, survivable COI management protocol, telecommunication security, Trust management, trust measurement, trust-based misbehaving node detection, Trusted Computing

In military operation or emergency response situations, very frequently a commander will need to assemble and dynamically manage Community of Interest (COI) mobile groups to achieve a critical mission assigned despite failure, disconnection or compromise of COI members. We combine the designs of COI hierarchical management for scalability and reconfigurability with COI dynamic trust management for survivability and intrusion tolerance to compose a scalable, reconfigurable, and survivable COI management protocol for managing COI mission-oriented mobile groups in heterogeneous mobile environments. A COI mobile group in this environment would consist of heterogeneous mobile entities such as communication-device-carried personnel/robots and aerial or ground vehicles operated by humans exhibiting not only quality of service (QoS) characters, e.g., competence and cooperativeness, but also social behaviors, e.g., connectivity, intimacy and honesty. A COI commander or a subtask leader must measure trust with both social and QoS cognition depending on mission task characteristics and/or trustee properties to ensure successful mission execution. In this paper, we present a dynamic hierarchical trust management protocol that can learn from past experiences and adapt to changing environment conditions, e.g., increasing misbehaving node population, evolving hostility and node density, etc. to enhance agility and maximize application performance. With trust-based misbehaving node detection as an application, we demonstrate how our proposed COI trust management protocol is resilient to node failure, disconnection and capture events, and can help maximize application performance in terms of minimizing false negatives and positives in the presence of mobile nodes exhibiting vastly distinct QoS and social behaviors.

Citation Key6838647