A slow read attack using cloud

Cloud computing relies on sharing computing resources rather than having local servers or personal devices to handle applications. Nowadays, cloud computing has become one of the fastest-growing fields in information technology. However, several new security issues of cloud computing have emerged due to its service delivery models. In this paper, we discuss the case of distributed denial-of-service (DDoS) attacks using Cloud resources. First, we show how such an attack using a cloud platform could not be detected by previous techniques. Then we present a tricky solution based on the cloud as well.

Additional Info

Reference: 2015 7th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)

Authors: Darine Ameyed|

Source: ieee

About the Author: Darine Ameyed

Darine Ameyed, Ph.D. in engineering, Software and Information Technologies (ÉTS-2017). She received an M.Msc applied IA ( Columbia university US-2019). She obtained her M.Sc. in Digital Art and Technology from the University Rennes 2 (U.R.2) (University of Upper Brittany, France) in 2010. She earned her M.Sc. Multimedia Engineering from the University Paris Est Marne la Vallée (U.P.E.M) (University of Paris 11, France) in 2008. She received a B.Sc. in computer science and Management from the Institut Supérieur de Gestion (I.S.G) (University of Tunis, Tunisia) in 2005. She is currently a research associate at Synchromédia lab, École Technologie Supérieure (ÉTS), Montreal. Also, an expert in United for smart and sustainable cities (U4SSC)-International Telecommunication Union- ITU-UN. She has been a scientific program and project manager at CIRODD (2015-2019), Co-founder and CEO of NyX-R (2015-2018), a tech advisor for tech and science-based startups. On the other hand, she has a long multidisciplinary academic and industrial career in Canada, Europe, and Africa in the areas of software engineering, mobile computing, ERP system management, art, and entrepreneurship. Her research interests include Predictive Modeling, Context-Aware System, Ambient Intelligence (AmI), C-IoT, Human-Centered Computing, Machine Learning, Activity Recognition, Human-Machine Interaction (HMI), Data security and privacy in IoT platforms and computational sustainability.