Hasso-Plattner-Institut25 Jahre HPI
Hasso-Plattner-Institut25 Jahre HPI

Securing Cloud Storages (Wintersemester 2018/2019)

Dozent: Prof. Dr. Christoph Meinel (Internet-Technologien und -Systeme)
Tutoren: Kennedy Torkura Muhamad Sukmana Hendrik Graupner

Allgemeine Information

  • Semesterwochenstunden: 4
  • ECTS: 6
  • Benotet: Ja
  • Einschreibefrist: 26.10.2018
  • Lehrform: Seminar / Projekt
  • Belegungsart: Wahlpflichtmodul
  • Lehrsprache: Deutsch
  • Maximale Teilnehmerzahl: 12

Studiengänge, Modulgruppen & Module

IT-Systems Engineering MA
  • IT-Systems Engineering
    • HPI-ITSE-A Analyse
  • IT-Systems Engineering
    • HPI-ITSE-E Entwurf
  • IT-Systems Engineering
    • HPI-ITSE-K Konstruktion
  • IT-Systems Engineering
    • HPI-ITSE-M Maintenance
  • ISAE: Internet, Security & Algorithm Engineering
    • HPI-ISAE-S Spezialisierung
  • ISAE: Internet, Security & Algorithm Engineering
    • HPI-ISAE-T Techniken und Werkzeuge
  • ISAE: Internet, Security & Algorithm Engineering
    • HPI-ISAE-K Konzepte und Methoden
  • OSIS: Operating Systems & Information Systems Technology
    • HPI-OSIS-K Konzepte und Methoden
  • OSIS: Operating Systems & Information Systems Technology
    • HPI-OSIS-S Spezialisierung
  • OSIS: Operating Systems & Information Systems Technology
    • HPI-OSIS-T Techniken und Werkzeuge
Data Engineering MA
Digital Health MA


Multi-cloud storage overcomes several challenges faced by public cloud storage systems such as security, vendor lock-in and availability. However, innovative techniques are imperative to fully explore the merits of this model despite the challenges of  lack of standardization of interfaces and APIs. 

Such innovative techniques are required to detect anomaly activities in the cloud, conduct threat and risk assessments and improve on the existing access control mechanisms.

In this seminar, we will tackle security-related challenges in cloud storage, more specifically we focus on state-of-the art approaches using a combination of machine learning techniques, risk& threat analysis, hybrid-access control mechanisms. Generally the following topics are to be investigated:

  • Location-based Access Control
  • Secure and scalable inter-organization file sharing
  • Machine-Learning based Prediction of Cloud Attacks
  • Cloud Security Intelligence Sharing with Independent Subscribers


  • Basic skills in machine learning or a desire to learn and implement.
  • Practical software development skills.
  • Basic interest in cloud technologies e.g. containers and public clouds.
  • Basic interest/desire to learn practical cyber security concepts and techniques e.g. cryptography and "threat hunting".


Presentations, implementation and technical report.


  • Seminar General Introduction: 09.30a.m on 14.10.2019 at H 2.57
  • Deadline regsitration / indication of interest: 19.10.2019
  • Seminar Detailed Introduction: 21.10.2019
  • Weekly / Bi-weekly meetings