scholarly journals Penetration testing on cloud---case study with owncloud

2016 ◽  
Vol 5 (2) ◽  
pp. 87
Author(s):  
Wenjuan Xu ◽  
Brian Groves ◽  
Willson Kwok
Keyword(s):  
Cloud Computing ◽  
Work Process ◽  
Penetration Testing ◽  
Cloud Computing Security ◽  
Security Challenges ◽  
Set Up ◽  
Computing Infrastructure

<p><strong> </strong></p><p>The cloud computing techniques bring different security challenges. In this paper, we set up ownCloud as the example cloud computing infrastructure. Then we present our work process and results of a series of penetration testing performed on the ownCloud.  We also analyse these results and give key recommendations for addressing the identified vulnerabilities.</p><p> </p><p> Keywords: cloud computing, security, penetration tesing, owncloud</p>

Cloud Computing Security

2012 ◽  
Vol 4 (1) ◽  
pp. 52-66 ◽  
Author(s):  
Junaid Arshad ◽  
Paul Townend ◽  
Jie Xu ◽  
Wei Jie
Keyword(s):  
Cloud Computing ◽  
Large Scale ◽  
State Of The Art ◽  
Emerging Technology ◽  
The State ◽  
Computing Systems ◽  
Cloud Computing Security ◽  
On Demand ◽  
Cloud Computing Adoption ◽  
Security Challenges

The evolution of modern computing systems has lead to the emergence of Cloud computing. Cloud computing facilitates on-demand establishment of dynamic, large scale, flexible, and highly scalable computing infrastructures. However, as with any other emerging technology, security underpins widespread adoption of Cloud computing. This paper presents the state-of-the-art about Cloud computing along with its different deployment models. The authors also describe various security challenges that can affect an organization’s decision to adopt Cloud computing. Finally, the authors list recommendations to mitigate with these challenges. Such review of state-of-the-art about Cloud computing security can serve as a useful barometer for an organization to make an informed decision about Cloud computing adoption.

Sentiment Mining and Analysis over Text Corpora via Complex Deep Learning Naural Architectures

2021 ◽  
Vol 2 (4) ◽  
pp. 448-461
Author(s):  
Teresa Alcamo ◽  
Alfredo Cuzzocrea ◽  
Giovanni Pilato ◽  
Daniele Schicchi
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Deep Learning ◽  
Neural Systems ◽  
Italian Language ◽  
Text Corpora ◽  
Sentiment Mining ◽  
Computational Advantage ◽  
Computing Infrastructure

We analyze and compare five deep-learning neural architectures to manage the problem of irony and sarcasm detection for the Italian language. We briefly analyze the model architectures to choose the best compromise between performances and complexity. The obtained results show the effectiveness of such systems to handle the problem by achieving 93\% of F1-Score in the best case. As a case study, we also illustrate a possible embedding of the neural systems in a cloud computing infrastructure to exploit the computational advantage of using such an approach in tackling big data.

scholarly journals Using AWS Cloud resources in Operating Systems undergraduate class during the pandemic: a case study

2020 ◽  
Author(s):  
André Gradvohl
Keyword(s):  
Operating System ◽  
Cloud Computing ◽  
Operating Systems ◽  
Remote Education ◽  
Computational Resources ◽  
Computing Infrastructure ◽  
Undergraduate Class ◽  
Cloud Resources

Pandemic brought new forms of remote education into the discussion. However, facilitating students' access to good computing infrastructure is not a widespread task. This paper presents a report on the use of computing resources in the AWS cloud by students in the Operating Systems class during the pandemic, from March to July 2020. The use of these computational resources was essential to consolidate some of the concepts covered in the course and, at the same time, to complement the students' knowledge about cloud computing. The results of this survey were very positive. Students said they learned more about the resources available in the cloud, the potential of cloud computing, and how to use it. Besides, they were able to create their remote infrastructure to carry out the work proposed in the Operating System class.

scholarly journals Cloud Computing Security Challenges

IARJSET ◽  
2020 ◽  
Vol 7 (8) ◽  
pp. 120-123
Author(s):  
Nada Alrehaili ◽  
Agadee Mutaha
Keyword(s):  
Cloud Computing ◽  
Cloud Computing Security ◽  
Security Challenges
Sign in / Sign up

Export Citation Format

Share Document