The thesis focuses on privacy techniques in fourth generation heterogeneous networks, addressing issues such as data mining and exposing credit card information. It proposes a model for enhancing privacy, security, and trust in mobile networks, specifically targeting e-commerce applications and micropayments. The evaluation indicates effective privacy and security measures while facilitating financial transactions without disclosing personal data.

1. University of Piraeus
Department of Digital Systems
Post graduate Programme in Digital Systems
Security
Master Thesis
Privacy Techniques in Fourth Generation
Heterogeneous Networks
Dimitris Gkikakis
Supervising Professor: Christos Xenakis

2. Contents
 Problem
 Related
 Scope
 Requirements
 Proposed Architecture
 Proposed Signaling
 Evaluation
2

3. Problem
 Plethora of data for internet services
 Data mining techniques
 Credit card information exposed
 Smartphone era
3

4. Related
 PETs
 E-commerce
 LBSs
4

5. Scope
 A model that could be deployed in the
current & future mobile networks
 Privacy
 E-commerce
 Security
5

6. Requirements
 Privacy
 Pseudonymity
 Unlinkability
 Traceability
 Trust
 Based on existing Trust relationship
 Security
 Confidentiality
 Integrity
 Authenticity
 Business Model 6
 Micropayments

7. Architecture
7

8. DB entries
8

9. Signaling
9

10. Evaluation
High level of Privacy
High level of Security
Ease of deployment
Financial transactions without exposing
personal information
New IP address allocation for each
connection
Insider threat
10