A Detailed Analysis on Intrusion Identification Mechanism in Cloud Computing and Datasets

2021 ◽  
pp. 550-573
Author(s):  
Aws Naser Jaber ◽  
Shahid Anwar ◽  
Nik Zulkarnaen Bin Khidzir ◽  
Mohammed Anbar
Keyword(s):  
Cloud Computing ◽  
Detailed Analysis ◽  
Identification Mechanism

scholarly journals CLOUD COMPUTING AND ANALYSIS FEATURES OF CLOUD INFORMATION SECURITY

2019 ◽  
pp. 5-9
Author(s):  
І. Андрущак ◽  
В. Марценюк ◽  
I. Андрощук ◽  
В. Чудовець ◽  
М. Потейчук
Keyword(s):  
Cloud Computing ◽  
Information Security ◽  
Detailed Analysis ◽  
Cloud Security ◽  
Scientific Activity ◽  
European Network ◽  
Advantages And Disadvantages ◽  
Current State ◽  
Guidance Documents ◽  
Security Alliance

The article discusses the current state of application and development of cloud computing, the main advantages and disadvantages of their use in the states, enterprises and in scientific activity. The standards, regulations and guidance documents in the field of cloud computing information security are developed and analyzed, developed by the Cloud Security Alliance (CSA), the European Network and Information Security Agency (ENISA) and the National Institute of Standards and Technology (NIST), and the results of a detailed analysis of the issues information security in the cloud.

Research on Asynchronous Parallel Finite Automaton in DPI Based on Cloud Computing

2013 ◽  
Vol 427-429 ◽  
pp. 2774-2777
Author(s):  
Hui Xia
Keyword(s):  
Cloud Computing ◽  
Detailed Analysis ◽  
Finite Automaton ◽  
Deep Packet Inspection ◽  
Packet Inspection ◽  
Asynchronous Parallel

We propose a new deep packet inspection mechanism: APFA(Asynchronous Parallel Finite Automaton) instead of the traditional one, which is developed based on detailed analysis over causes of status explosion and flaws of existing solutions. Applying Asynchronous Parallelism and Heuristically Forecast Mechanism, it can take advantage of multi-core platform, offering an effective method to avoid overlapping problem and semantic assaults. Experiments under environment with artificial flows show that the average space APFA occupies is 89.7% less than that of DFA and the average time is 24.4% less cost.

scholarly journals A Detailed Analysis on Several Load Balancing Algorithm in Cloud Computing

10.29007/rnvj ◽  
2018 ◽  
Author(s):  
Shubhra Saxena ◽  
Navneet Sharma ◽  
Akash Saxena ◽  
Jayanti Goyal
Keyword(s):  
Cloud Computing ◽  
Distributed Computing ◽  
Load Balancing ◽  
Detailed Analysis ◽  
Virtual Machine ◽  
Bumble Bee ◽  
Cloud Framework ◽  
Execution Unit ◽  
Broad Variety ◽  
Load Balancing Algorithm

Cloud computing (CC) is rising rapidly; an expansive number of clients are pulled in towards cloud administrations for more fulfillments. Distributed computing is most recent developing innovation for expansive scale dispersed processing and parallel registering. CC gives vast pool of shared assets, program bundle, data, stockpile and a broad variety of uses according to client requests at any example of time. Adjusting the heap has turned out to be all the more intriguing examination zone in this field. Better load adjusting calculation in cloud framework builds the execution and assets use by progressively dispersing work stack among different hubs in the framework. Virtual machine (VM) is an execution unit that goes about as an establishment for distributed computing innovation. Bumble bee conduct propelled stack adjusting enhances the general throughput of handling and need construct adjusting centers with respect to decreasing the measure of time an errand needs to look out for a line of the VM.

scholarly journals Integration of Cloud Computing, Big Data, Artificial Intelligence, and Internet of Things

2021 ◽  
Vol 16 (1) ◽  
pp. 10-17
Author(s):  
Drissi Saadia
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Detailed Analysis ◽  
New Paradigm ◽  
Research Papers ◽  
Research Issues ◽  
New Challenges ◽  
Open Issues

Cloud computing, internet of things (IoT), artificial intelligence, and big data are four very different technologies that are already discussed separately. The use of the four technologies is required to be more and more necessary in the present day in order to make them important components in today's world technology. In this paper, the authors center their attention on the integration of cloud, IoT, big data, and artificial intelligence. Several kinds of research papers have surveyed artificial intelligence, cloud, IoT, and big data separately and, more precisely, their main properties, characteristics, underlying technologies, and open issues. However, to the greatest of the authors' knowledge, these works require a detailed analysis of the new paradigm that combines the four technologies, which suggests completely new challenges and research issues. To bridge this gap, this paper presents a survey on the integration of cloud, IoT, artificial intelligence, and big data.

Prosodic Impairment Associated With Traumatic Brain Injury

2009 ◽  
Vol 19 (3) ◽  
pp. 97-102
Author(s):  
Billy Irwin
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Detailed Analysis ◽  
Acoustic Characteristics ◽  
Individual Variations

Abstract Purpose: This article discusses impaired prosody production subsequent to traumatic brain injury (TBI). Prosody may affect naturalness and intelligibility of speech significantly, often for the long term, and TBI may result in a variety of impairments. Method: Intonation, rate, and stress production are discussed in terms of the perceptual, physiological, and acoustic characteristics associated with TBI. Results and Conclusions: All aspects of prosodic production are susceptible to the effects of damage resulting from TBI. There are commonly associated prosodic impairments; however, individual variations in specific aspects of prosody require detailed analysis.

Cloud-Computing: eHealth aus der Wolke

2018 ◽  
Vol 23 (11) ◽  
pp. 38-41
Author(s):  
Sebastian Krolop ◽  
Florian Benthin ◽  
Constanze Knahl
Keyword(s):  
Cloud Computing ◽  
Point Of Care

Cloud-Computing gewinnt auch in Kliniken zunehmend an Bedeutung. Über das Internet bereitgestellte Lösungen verändern nicht nur Verwaltung und Logistik – im klinischen Bereich geht es zum Beispiel um die Nutzung elektronischer Patientenakten am Point-of-Care.

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