Why are repeated auctions in RaaS clouds risky?

Danielle Movsowitz, Liran Funaro, Shunit Agmon, Orna Agmon Ben-Yehuda, Orr Dunkelman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


The world of cloud computing is progressing from the concept of securing resources by predefined units to dynamically allocating resources using economic mechanisms. New mechanisms offer better utilization of the hardware by sharing it among multiple users. However, they allow new types of economic attacks. We introduce two new economic attacks performed by malicious users. These attacks harm the aggregate utility of Resource-as-a-Service (RaaS) clouds. Our first attack aims at raising bills in the system, and causing victims to pay more for the same amount of resources. Over time the attack may cause victims to exhaust their budget, thus lowering their demand for resource allocation, and allowing the attacker to acquire the freed resources at a negligible cost. Our second attack is designed to hinder the victim’s performance at specific points in time by outbidding them for a single round. For resources of high regaining costs or that their full utilization takes time (e.g., RAM), even a single round without the resource may significantly hinder the performance. In this work we demonstrate on a simple representative example how the first attack reduces the victim’s profit sevenfold and the second attack causes damage of $290–$630 for every dollar spent on the attack.

Original languageEnglish
Title of host publicationEconomics of Grids, Clouds, Systems, and Services - 15th International Conference, GECON 2018, Proceedings
EditorsDaniele D’Agostino, José Ángel Bañares, Massimo Coppola, Emanuele Carlini, Jörn Altmann
PublisherSpringer Verlag
Number of pages13
ISBN (Print)9783030133412
StatePublished - 2019
Event15th International Conference on the Economics of Grids, Clouds, Systems, and Services, GECON 2018 - Pisa, Italy
Duration: 18 Sep 201820 Sep 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11113 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference15th International Conference on the Economics of Grids, Clouds, Systems, and Services, GECON 2018

Bibliographical note

Publisher Copyright:
© 2019, Springer Nature Switzerland AG.


  • Economic attacks
  • RaaS
  • Resource allocation
  • VCG

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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