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
- IT-Systems Engineering
- IT-Systems Engineering
- IT-Systems Engineering
- 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
- DSEC: Data Security
- DSEC-Konzepte und Methoden
- DSEC: Data Security
- DSEC-Techniken und Werkzeuge
- DSEC: Data Security
- SCAD: Scalable Computing and Algorithms for Digital Health
- HPI-SCAD-C Concepts and Methods
- SCAD: Scalable Computing and Algorithms for Digital Health
- HPI-SCAD-T Technologies and Tools
- SCAD: Scalable Computing and Algorithms for Digital Health
- HPI-SCAD-S Specialization
- DICR: Digitalization of Clinical and Research Processes
- HPI-DICR-C Concepts and Methods
- DICR: Digitalization of Clinical and Research Processes
- HPI-DICR-T Technologies and Tools
- DICR: Digitalization of Clinical and Research Processes
- HPI-DICR-S Specialization
- HDAS: Health Data Security
- HPI-HDAS-C Concepts and Methods
- HDAS: Health Data Security
- HPI-HDAS-T Technologies and Methods
- HDAS: Health Data Security
- HPI-HDAS-S Specialization
Beschreibung
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
Voraussetzungen
- 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".
Leistungserfassung
Presentations, implementation and technical report.
Termine
- 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
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