minimize Header

Jakob Folz, M.Sc.

Centre for Applied Research

TC Vilshofen

Academic Staff

ITC2+ 1.08

0991/3615-8286

publications

Sortierung:

Vortrag

Jakob Folz
Robert Aufschläger
Michael Heigl

PRIVATE OPEN DATA?! - EAsyAnon TRUSTSERVICE. Posterpräsentation

In: Nationale Konferenz IT-Sicherheitsforschung 2023 - Die digital vernetzte Gesellschaft stärken

Bundesministerium für Bildung und Forschung Berlin

13.-15.03.2023 (2023)

30 S: TC Vilshofen S_EN: TC Vilshofen
Institut ProtectIT
DIGITAL

Vortrag

Jakob Folz

Design and implementation of an intelligent system for dynamic resource allocation within an SDN network

In: Konferenz des berufsbegleitenden Masterstudiengangs Cybersecurity: Ausgewählte Themen der Security Forschung

Technische Hochschule Deggendorf (THD)/Technologie Campus Vilshofen Online

19.01.2023 (2023)

Institut ProtectIT
30 S: TC Vilshofen S_EN: TC Vilshofen
DIGITAL

Beitrag in Sammelwerk/Tagungsband

Amar Almaini
Jakob Folz
D. Wölfl
A. Al Dubai
Martin Schramm
Michael Heigl

A New Scalable Distributed Homomorphic Encryption Scheme for High Computational Complexity Models

(2023)

Abstract anzeigen

Due to the increasing privacy demand in data processing, Fully Homomorphic Encryption (FHE) has recently received growing attention for its ability to perform calculations over encrypted data. Since the data can be processed in encrypted form and the output remains encrypted, only an authorized user or a user who holds the key can decrypt the data and understand its meaning. Hence, it is possible to securely outsource data processing to untrustworthy but powerful public computing resources on the edge. However, due to the high computational complexity, FHE-based data processing experiences scalability related concerns. It is currently unclear whether FHE can be used to solve large-scale problems. In this paper, we propose a novel general distributed FHE-based data processing approach as a concrete step towards solving the scalability challenge. The main idea behind our approach is to use slightly more communication overhead for a shorter computing circuit in FHE, hence, reducing the overall complexity. We verify our new model’s efficiency and effectiveness by comparing the distributed approach with the central approach over various FHE schemes (CKKS, BGV, and BFV). This is performed using one of the more popular libraries of FHE “Microsoft SEAL”, by performing specific mathematical operations and observing the time consumed. The empirical results demonstrate that the proposed approach results in a significant reduction in time, up to 54% compared to the traditional central approach.

Institut ProtectIT
DIGITAL