Intro; Preface; Acknowledgements; Contents; 1 Introduction; 1.1 Distributed Inference Networks; 1.2 Motivation: Byzantine Generals' Problem; 1.3 Distributed Inference in the Presence of Byzantines: Two Viewpoints; 1.3.1 Analysis from the Attacker's Perspective; 1.3.2 Analysis from the Network Designer's Perspective; 1.4 Outline; References; 2 Background; 2.1 Foundational Concepts of Inference; 2.1.1 Binary Hypothesis Testing; 2.1.2 M-Ary Hypothesis Testing; 2.1.3 Parameter Estimation; 2.1.4 Asymptotic Performance Metrics; 2.2 Distributed Inference; 2.2.1 Network Topologies

2.2.2 Practical Concerns2.3 Taxonomy of Results; 2.3.1 Fundamental Limits; 2.3.2 Mitigation Schemes; References; 3 Distributed Detection with Unreliable Data Sources; 3.1 Distributed Bayesian Detection with Byzantines: Parallel Networks; 3.1.1 System Model; 3.1.2 Analysis from Attacker's Perspective; 3.1.3 Analysis from Network Designer's Perspective; 3.2 Distributed Neyman-Pearson Detection with Byzantine Data: Parallel Networks; 3.2.1 System Model; 3.2.2 Analysis from Attacker's Perspective; 3.2.3 Analysis from Network Designer's Perspective; 3.2.4 Covert Byzantine Attacks

3.3 Distributed Detection with Unlabeled Byzantine Data: Multi-hop Networks3.3.1 System Model; 3.3.2 Analysis from Attacker's Perspective; 3.3.3 Analysis from Network Designer's Perspective; 3.4 Distributed Detection with Labeled Byzantine Data: Multi-hop Networks; 3.4.1 System Model; 3.4.2 Analysis from Attacker's Perspective; 3.4.3 Analysis from Network Designer's Perspective; 3.5 Distributed Detection with Byzantine Data: Peer-to-Peer Networks; 3.5.1 System Model; 3.5.2 Analysis from Attacker's Perspective; 3.5.3 Analysis from Network Designer's Perspective; 3.6 Summary; References

4 Distributed Estimation and Target Localization4.1 Target Localization with Byzantine Data: Parallel Networks; 4.1.1 System Model; 4.1.2 Analysis from Attacker's Perspective; 4.1.3 Analysis from Network Designer's Perspective; 4.2 Distributed Parameter Estimation with Multiple Attack Strategies: Parallel Networks; 4.2.1 System Model; 4.2.2 Identification and Categorization of Sensors; 4.2.3 Joint Estimation Including Attack Parameters; 4.3 Distributed Parameter Estimation with Adversaries: Peer-to-Peer Networks; 4.3.1 System Model; 4.3.2 Analysis from Network Designer's Perspective

4.4 SummaryReferences; 5 Some Additional Topics on Distributed Inference; 5.1 Distributed Inference with M-ary Quantized Byzantine Data; 5.1.1 System Model; 5.1.2 Analysis from Attacker's Perspective; 5.2 Target Tracking with Quantized Byzantine Data; 5.2.1 System Model; 5.2.2 Analysis from Attacker's Perspective; 5.2.3 Analysis from Network Designer's Perspective; 5.3 Summary; References; 6 Distributed Inference with Unreliable Data: Some Unconventional Directions; 6.1 Friendly Byzantines to Improve Secrecy; 6.1.1 Collaborative Compressive Detection