Visible to the public Crypto-Aided Bayesian Detection of False Data in Short Messages

TitleCrypto-Aided Bayesian Detection of False Data in Short Messages
Publication TypeConference Paper
Year of Publication2018
AuthorsKim, Sang Wu, Liu, Xudong
Conference Name2018 IEEE Statistical Signal Processing Workshop (SSP)
ISBN Number978-1-5386-1571-3
KeywordsBayes methods, Bayesian detection, composability, Conferences, crypto-aided Bayesian detection framework, cryptographic detection, cryptography, cyber physical systems, detection accuracy, detection error, detection outcomes, Electrostatic discharges, false alarm, false data, False Data Detection, False Data Injection, Human Behavior, lightweight cryptographic detection, low latency, low overhead, Map, maximum a posteriori probability rule, missed detection, Physical layer, probability, pubcrawl, Relays, resilience, Resiliency, short messages, Signal processing, Wireless communication

We propose a crypto-aided Bayesian detection framework for detecting false data in short messages with low overhead. The proposed approach employs the Bayesian detection at the physical layer in parallel with a lightweight cryptographic detection, followed by combining the two detection outcomes. We develop the maximum a posteriori probability (MAP) rule for combining the cryptographic and Bayesian detection outcome, which minimizes the average probability of detection error. We derive the probability of false alarm and missed detection and discuss the improvement of detection accuracy provided by the proposed method.

Citation Keykim_crypto-aided_2018