Dynamic operations over networks : extracting and protecting information
Abstract/Contents
- Abstract
- In this dissertation, I investigate the interplay between information and networks in dynamic operations. For this purpose, I study two related settings where a decision maker interacts with information while dynamically operating over a network. In the first setting, this interaction manifests itself as a goal of protecting sensitive information and is the focus of Chapter 1. More specifically, I analyze how a decision maker can efficiently route over a given network without revealing the destination as a result of taking actions over the network. In the second setting, the goal of the decision maker is one of learning, or extracting information, through interactions with a network. In Chapter 2, I study this problem in the context of forensic investigations and address the question of efficiently reconstructing an unobservable network in order to find a target hidden among its vertices. Finally, in Chapter 3, I treat the problems of extracting and protecting information jointly and consider a decision maker who aims to protect sensitive information while conducting a search. In this final chapter, I again analyze the same forensic technique from Chapter 2 and add an additional objective of privacy.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2022; ©2022 |
| Publication date | 2022; 2022 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Erturk, Mine Su |
|---|---|
| Degree supervisor | Wein, Lawrence |
| Degree supervisor | Xu, Kuang |
| Thesis advisor | Wein, Lawrence |
| Thesis advisor | Xu, Kuang |
| Thesis advisor | Saban, Daniela |
| Degree committee member | Saban, Daniela |
| Associated with | Stanford University, Graduate School of Business |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Mine Su Erturk. |
|---|---|
| Note | Submitted to the Graduate School of Business. |
| Thesis | Thesis Ph.D. Stanford University 2022. |
| Location | https://purl.stanford.edu/jx540dg0730 |
Access conditions
- Copyright
- © 2022 by Mine Su Erturk
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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