In safety critical I/O and intercomputer communication networks, reliable message transmission is an important concern. Difficulties of communication and fault identification in networks arise primarily because the sender of a transmission cannot be identified with certainty, an intermediate node can corrupt a message without certainty of detection, and a babbling node cannot be identified and silenced without lengthy diagnosis and reconfiguration . Authentication protocols use digital signature techniques to verify the authenticity of messages with high probability. Such protocols appear to provide an efficient solution to many of these problems. The objective of this program is to develop, demonstrate, and evaluate intercomputer communication architectures which employ authentication. As a context for the evaluation, the authentication protocol-based communication concept was demonstrated under this program by hosting a real-time flight critical guidance, navigation and control algorithm on a distributed, heterogeneous, mixed redundancy system of workstations and embedded fault-tolerant computers. Harper, Richard E. and Adams, Stuart J. and Babikyan, Carol A. and Butler, Bryan P. and Clark, Anne L. and Lala, Jaynarayan H. Unspecified Center COMPUTER INFORMATION SECURITY; COMPUTER NETWORKS; FAULT TOLERANCE; INTERPROCESSOR COMMUNICATION; PROTOCOL (COMPUTERS); REAL TIME OPERATION; DIGITAL TECHNIQUES; DISTRIBUTED PROCESSING; FAULT DETECTION; INFORMATION SYSTEMS; MESSAGE PROCESSING...

This book constitutes the refereed proceedings of the Second EAI International Conference on Advanced Hybrid Information Processing, ADHIP 2018, held in Yiyang, China, in October 2018. The 71 papers presented were selected from 228 submissions and focus on hybrid big data processing. Since information processing has acted as an important research domain in science and technology today, it is the right time to develop deeper and wider use of hybrid information processing, especially information processing for big data. There are more remaining issues waiting for solving, such as classification and systemization of big data, objective tracking and behavior understanding in big multimedia data, encoding and compression of big data.