Data Security In Cloud Computing – Cloud computing has now been embraced by many organizations and individuals due to its advantages such as cost-effectiveness, reliability, scalability and guaranteed quality of service, among others. But because the data is not stored, analyzed or computed locally, this can lead to security, privacy, trust and compliance issues. This one-stop reference covers a wide range of data security issues in Cloud Computing, ranging from accountability to data provenance, identity and risk management.
Cloud Computing Data Security covers the main aspects of cloud computing data protection. Topics covered include NOMAD: A Framework for Ensuring Data Privacy in Mission-Critical Cloud Applications; 3DCrypt: privacy-preserving volumetric cloud streaming of 3D images before classification; multiprocessor system on a chip for data processing in Cloud Computing; distribution of encrypted data for personal processing in the cloud; data protection and mobility management for cloud; understanding software defined perimeter; Security, Trust and Privacy for Cloud Computing in Transport Cyber-Physical Systems; review of data leakage attack techniques in cloud systems; Cloud computing and personal data processing: sorting out legal requirements; the Waikato Data Privacy Matrix; cloud origin reconstruction; and security visualization for Cloud Computing.
Data Security In Cloud Computing
About the Editors Dr. Vimal Kumar is a lecturer at the University of Waikato in New Zealand, where his research interests are in the development of secure wireless sensor networks, sensor clouds, and the Internet of Things. He is also interested in solving security challenges in cloud computing and personal wearables. Dr Sivadon Chaisiri is currently a Research Associate at the University of Waikato’s Cyber Security Lab conducting cyber security research at STRATUS, a cloud security project funded by the Ministry of Business, Innovation and Employment, New Zealand. He was the principal investigator of a mobile security project funded by InternetNZ and a privacy management project funded by the Office of the Privacy Commissioner, New Zealand. His research interests include cybersecurity economics, context-sensitive security, and stochastic optimization. Dr Ryan Ko is Associate Professor at the University of Waikato, New Zealand. He leads the Cyber Security Program, serves as Research Advisor for the Pacific Region of the Cloud Security Alliance’s Asia-Pacific Region, and is a member of the international faculty at Idaho State University, USA. He is Principal Investigator of the NZD12.23 million 6-year MBIE Research Investment Project – STRATUS (Security Technologies Returning Accountability, Trust and User-Centric Services to the Cloud) and Editor of the ISO/IEC 21878 Standard – Security Guidelines for Design and deploying virtualized servers. Cloud computing has become a widely used buzzword in recent years. The term is so commonly used that even if you are not an IT person, you are expected to know something about it. According to Gartner’s IT Dictionary, it is “a style of computing in which scalable and elastic IT capabilities are delivered as a service using Internet technologies.” This includes both software and hardware. In simple terms, this means that your data, applications and even your hardware can be hosted by a service provider on multiple (or dedicated) servers. This model of cloud computing services is true distributed computing in real terms.
Cloud Computing Security Powerpoint Presentation Slides
The benefits of cloud computing services are numerous: pay-per-use, lower maintenance costs, rapid application deployment and system scalability, cloud analytics, disaster recovery solutions, professional data storage and security services, network security, and more others. These services have allowed companies to maintain a more economical internal IT infrastructure, and this also results in lower headcount in terms of IT staff.
Although the shift to cloud computing services has been happening for some time, data security concerns are still a hotly debated topic. Does cloud computing provide data privacy and security? Or is it prone to breakouts? What kind of countermeasures are used by the service provider so that data integrity is maintained at all times? There are many who believe that a company has more control over its data when it is housed on its own premises or, at best, stored in a private cloud. However, many others differ.
They believe that a cloud computing service provider is specialized, has better systems, employs more trained staff, has a 360-degree view of both data and infrastructure, and can be constantly alert for any security compromises. Let’s look at the type of data security concerns in the cloud computing environment. This will also tell us about the data security measures in place to overcome them. This is an evolving environment and the list of security measures is growing endlessly to combat various types of cyber attacks, viruses, breaches, leaks, accidental loss, theft, etc. We will discuss only a few of the critical ones.
In today’s world, no topic receives more media attention than privacy and data protection. Customer data, electoral data and financial data are compromised every day and there are many laws and regulations to protect this data. Even if the loss occurs through the fault of the service provider, the company that owns the data or takes responsibility for the processing of the data is liable. So, the cloud service provider needs to demonstrate to their customer that the measures they have in place are nearly fail-safe. There are many forms of contracts that can be entered into with the cloud computing service provider, with appropriate SLAs (Service Level Agreements) to precisely define the areas of responsibility for both parties.
Pdf] Enhancing Big Data Security With Collaborative Intrusion Detection
In computers, data integrity is vital. Any tampering, modification or deletion of data can be very dangerous and expensive. In a cloud computing environment, data can easily be lost or infected due to access by unauthorized personnel or a breach in the system. Better authentication and authorization protocols are needed to preserve data privacy. Two-factor authentication is one such protocol.
Data can be of different types. They can be structured or unstructured, in transit or at rest, or infrequently used (as in backup or disaster recovery data). Various service providers recognize this aspect of data and have set up their cloud storage services to handle it. The response time of the data, or its availability at the exact moment it is needed, is vital.
Cloud computing that shares its storage environments among multiple clients can sometimes create a situation where there is a delay in retrieving a particular client’s data. But for critical processes, data may need to be stored in specific regions where it can be accessed quickly. This is a capability that the cloud computing service provider must build into their cloud infrastructure.
Today, no data is sent over the Internet or any open network without being encrypted. It is one of the pillars of data privacy and offers the best protection against external threats. A plethora of algorithms and machine learning techniques are used to encrypt data so that it cannot be compromised. But different types of data require different encryption and decryption techniques, and any such procedures must be specifically requested from the service provider. It should also be clearly spelled out in the SLA.
Edge Computing Vs Cloud Computing: What Are The Key Differences?
Data can be compromised by employees, contractors and other stakeholders due to negligence or human error. Of course, this can also be done on purpose by malicious or disgruntled staff members. Staff members who have access to data, especially critical data, must be trained and constantly aware of the threat they pose to the organization’s data. Perhaps more security breaches occur due to employee negligence than any other major external threat.
Not all threats are necessarily data-related. They can also be due to infrastructure factors: from compromised networks to shared host machines, from virtual machine (VM) inelegantness to employee negligence.
Here we have looked at the environment of cloud computing services and the benefits it provides to customers. However, the data security landscape is vulnerable and susceptible to compromise with data from internal or external sources. We then looked at data challenges in their various forms and some of the solutions for which both the cloud service provider and the customer can be contractually responsible. We also looked at the important cloud-specific threats, both internal and external, related to data or the environment. In conclusion, all we can say is that cloud computing is here to stay. However, the data security landscape will always present challenges that must be constantly monitored, detected and resolved. It should read:
Pdf) Data Security Model For Cloud Computing
One of the most significant challenges for enterprises is making sure that data remains secure and traceable as it travels through the cloud environment. Moving to the cloud changes a company’s attack profile; surface area increases. By adapting both visibility to understand sensitive data and automation to enforce policies, enterprises can better mitigate threats.
No wonder there are expectations and challenges associated with securing a cloud resident
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