Cloud Computing Security Research Articles

Block chain based IAS protocol to enhance security and privacy in cloud computing

Cloud computing has become increasingly popular for data storage and processing, but security and privacy remain major concerns due to the potential for malicious attacks on wireless and mobile communication networks. In order to address these issues, researchers have proposed an IAS protocol that incorporates identity, access control, and secure authentication. To ensure the authenticity and security of data transmission in cloud computing, the proposed IAS protocol is implemented on top of blockchain technology. This allows for decentralized key management for recovery and revocation, as well as identity verification. To evaluate the effectiveness of this approach, the proposed model using Block Chain based Identity Management, Access Control and Secure Sharing (BC-IAS) is simulated on the cloud environment. The simulation assesses primary performance key metrics, including Data Access Rate, Message Delivery Ratio, End to End Delay and Energy consumption. Overall, the proposed BC-IAS protocol on top of blockchain technology shows promise for enhancing security and privacy in cloud computing. The proposed BC-IAS protocol on top of blockchain technology presents a promising solution for enhancing the security and privacy of cloud computing. The decentralized nature of blockchain technology ensures that data is stored in a tamper-proof and transparent manner, while the use of smart contracts allows for automated enforcement of access control policies. Moreover, the incorporation of identity verification and secure authentication ensures that only authorized users can access sensitive data, reducing the risk of data breaches and cyber-attacks.

Cloud Intrusion Detection System Based on SVM

The demand for better intrusion detection and prevention solutions has elevated due to the current global uptick in hacking and computer network attacks. The Intrusion Detection System (IDS) is essential for spotting network attacks and anomalies, which have increased in size and scope. A detection system has become an effective security method that monitors and investigates security in cloud computing. However, several existing methods have faced issues such as low classification accuracy, high false positive rates, and low true positive rates. To solve these problems, a detection system based on Support Vector Machine (SVM) is proposed in this paper. In this method, the SVM classifier is utilized for network data classification into normal and abnormal behaviors. The Cloud Intrusion Detection Dataset is used to test the effectiveness of the suggested system. The experimental results show which the suggested system can detect abnormal behaviors with high accuracy.

Improving Data Security in Cloud Computing

Improving Data Security in Cloud Computing

Research and Design of Cloud Computing Security Framework

As a new technique, cloud computing has a rapid development in recent years. However, the security problems have caused great influences to the development and popularization of cloud computing, the importance and urgency has not to be ignored. This paper introduces cloud computing and security situation, studies the main security problems of cloud computing, and comes up with a cloud computing security framework which can effectively solve these security problems, and points out that only to solve the security problems, cloud computing can unceasingly expanded, and the application will be more and more widely.

A Strong Combination of Cryptographic Techniques to Secure Cloud-Hosted Data

In Hybrid Cloud Security, we combine symmetric encryption with key management to ensure anonymity. Our method provides a flexible and scalable deployment solution for cloud-based data security. To store, analyse, and deal with data, cloud computing relies on a core concept: sharing resources. Since cloud services are utilized by many individuals and are dispersed across the Internet, they provide a number of security vulnerabilities. Due to their worldwide accessibility, hybrid clouds open up a wide range of opportunities. The security solution works with a wide variety of PaaS, SaaS, and even IaaS cloud services (Infrastructure as a Service). It also works with most Cloud services out there. Hybrid public key cryptosystems can improve cloud security. Businesses are wary about cloud computing due to security concerns. The primary goal of this research is to strengthen the security of cloud computing by fusing the cryptographic models of Rabin and Rivest-Shamir-Adleman (RSA). Evaluating the efficacy of a hybrid approach to producing secret keys for data encryption and decryption. The purely RSA-based system has higher latency and is less computationally intensive than the hybrid system.

Security and Privacy in Cloud Computing: Challenges and Solutions

This paper provides an overview of the security and privacy challenges that arise in cloud computing and the solutions proposed to address them. Cloud computing has become an essential part of modern business operations, but it also poses significant security and privacy risks. These risks include data breaches, unauthorized access to sensitive information, and compliance issues. The paper discusses the different security and privacy challenges that cloud computing presents, such as data confidentiality, integrity, and availability. It also explores the different solutions that have been proposed to address these challenges, including encryption, access control, and identity management. Additionally, the paper discusses the role of cloud service providers in ensuring security and privacy and the regulatory and compliance issues that organizations must consider. The paper concludes by providing recommendations for organizations to enhance their security and privacy in cloud computing. Keywords : Cloud Computing Security, Cloud Computing Privacy , Data Protection, Access Control, Encryption ,Risk Management

A Best Approach to Load Balancing in Cloud Computing Security Using SSL in Iaas Infrastructure

Now a days there is low performance of cloud computing service provider cloud computing service provider allow users to hire a service on rent basis to use high cost software and hardware resources so now a days this feature are usable without suffering discontinue services and performance of the system the secure socket layer and associated security algorithm come with internet age and first introduce by Netscape but some problem found with it which is found by some researcher. Now a days cloud computing facility are face problem of performance degradation but we have to avoid such problem.in this paper we have to avoid such problem so we propose a solution on that so in existing system the commercial offering from the F5 Inc a new network equipment manufacturer introduced a product BIG-IP With in simultaneous approach high availability load balancing and secure data channel Key Words: Key words: Secure Socket Layer (SSL), Local TrafficManager (LTM), Access Policy Manager (APM), Infrastructure – as – a - Service (IaaS), Throughput

Enhanced Security for Large-Scale 6G Cloud Computing: A Novel Approach to Identity based Encryption Key Generation

Cloud computing and 6G networks are in high demand at present due to their appealing features as well as the security of data stored in the cloud. There are various challenging methods that are computationally complicated that can be used in cloud security. Identity-based encryption (IBE) is the most widely used techniques for protecting data transmitted over the cloud. To prevent a malicious attack, it is an access policy that restricts access to legible data to only authorized users. The four stages of IBE are setup, key extraction or generation, decryption and encryption. Key generation is a necessary and time-consuming phase in the creation of a security key. The creation of uncrackable and non-derivable secure keys is a difficult computational and decisional task. In order to prevent user identities from being leaked, even if an opponent or attacker manages to encrypted material or to decode the key this study presents an advanced identity-based encryption technique with an equality test. The results of the experiments demonstrate that the proposed algorithm encrypts and decrypts data faster than the efficient selective-ID secure IBE strategy, a competitive approach. The proposed method's ability to conceal the identity of the user by utilizing the Lagrange coefficient, which is constituted of a polynomial interpolation function, is one of its most significant aspects.

Cloud data security and various cryptographic algorithms

<p>Cloud computing has spread widely among different organizations due to its advantages, such as cost reduction, resource pooling, broad network access, and ease of administration. It increases the abilities of physical resources by optimizing shared use. Clients’ valuable items (data and applications) are moved outside of regulatory supervision in a shared environment where many clients are grouped together. However, this process poses security concerns, such as sensitive information theft and personally identifiable data leakage. Many researchers have contributed to reducing the problem of data security in cloud computing by developing a variety of technologies to secure cloud data, including encryption. In this study, a set of encryption algorithms (advance encryption standard (AES), data encryption standard (DES), Blowfish, Rivest-Shamir-Adleman (RSA) encryption, and international data encryption algorithm (IDEA) was compared in terms of security, data encipherment capacity, memory usage, and encipherment time to determine the optimal algorithm for securing cloud information from hackers. Results show that RSA and IDEA are less secure than AES, Blowfish, and DES). The AES algorithm encrypts a huge amount of data, takes the least encipherment time, and is faster than other algorithms, and the Blowfish algorithm requires the least amount of memory space.</p>

Addressing Cloud Computing Security and Visibility Issues

Addressing Cloud Computing Security and Visibility Issues

An overview of threats to data security and integrity in cloud computing

Cloud computing has become an integral part of our lives, and today it is used almost everywhere. In general, cloud computing is a concept of providing IT resources in the form of services. There are two cloud computing models: deployment models, which differ in the type of cloud management and access to the cloud and the level of security, and service models, which differ in the level of service provision, which affects, among other things, the level of responsibility of the service provider and the consumer. Cloud services began to gain popularity in 2009, and the demand for them has grown exponentially every year. They became especially popular during the pandemic in 2019, when people had to stay at home without interrupting their work processes, and now, in post-covid times, they also remain popular due to their convenience, high availability, easy scalability and cost savings. Due to the widespread use of cloud computing services, a high level of security is required. Unfortunately, the popularity of cloud computing has its drawbacks – in addition to the fact that it is more difficult to monitor the security of a remote environment than the security of a local computer, there are many other threats. In today's reality, people use cloud computing technologies in large volumes, for example, at work, for personal purposes, etc., as they have great trust in these technologies. This is the reason why it is necessary to maintain a high level of security and constantly improve it. Cloud computing security threats are usually divided into confidentiality, integrity, and availability threats. To prevent the loss of confidential information, service providers must ensure its integrity. Users want to be sure that their data will not fall into the hands of an intruder or third-party services. Therefore, this article discusses the most common threats to data security and integrity in cloud computing and the existing methods that prevent these vulnerabilities and possible problems at different levels and with the help of different tools.

Information Security: A Coordinated Strategy to Guarantee Data Security in Cloud Computing

Information Security: A Coordinated Strategy to Guarantee Data Security in Cloud Computing

Logistics Case study---DELL Company

this article examines the operations of DELL, a technology business that produces and sells PCs, servers, data storage devices, and networking equipment, are examined in this article. The article examines the significance of capacity management and inventory management, two critical components of a company's operations that can have a considerable impact on its profitability. Capacity management is concerned with matching supply and demand by planning and regulating supply or processing, whereas inventory management is concerned with having the right items in the right place at the right time. DELL has acquired a competitive advantage by implementing the build-to-order (BTO) approach, which allows the corporation to construct products only when a validated order is received, allowing consumers to receive personalized products on an individual basis.
 In conclusion, DELL's successful operations highlight the significance of excellent capacity and inventory management, supply chain management, and new business models. The use of the BTO model and an agile supply chain management approach by the company has allowed it to respond swiftly to changing market demands, supplying tailored products to specific clients. The company's inventory and data management operations have been optimized thanks to effective information exchange, vendor-managed inventory, and enterprise resource planning tools. To achieve long-term success in today's technology-driven company environment, cloud computing, and data security threats must be carefully considered.

The Data Security and multi-cloud Privacy concerns

The security, privacy, and challenges of establishing trust in cloud computing are examined in this paper. It discusses the issues that must be resolved to guarantee the security, privacy, and reliability of data processed, stored, and shared in cloud architecture. Cloud computing is a rapidly growing field, with more and more individuals and organizations adopting it as their preferred data storage and processing method. However, with this growth comes the need for increased attention to privacy, security, and trust in cloud computing. In this paper, we review the current state of privacy, security, and trust in cloud computing and examine the various strategies and technologies being used to address these concerns. We discuss the importance of end-to-end encryption, strong access controls, and data anonymization techniques in protecting user data in the cloud. Additionally, we analyze the role of trusted third parties, such as auditors and certifications, in ensuring the integrity of cloud services. Finally, we consider the impact of emerging technologies, such as blockchain and homomorphic encryption, on the future of privacy, security, and trust in cloud computing. Overall, our analysis highlights the need for ongoing research and development in this area to ensure that cloud computing remains a secure and trustworthy platform for users.

Machine Learning Algorithms for Cloud Computing Security: A Systematic Review

Machine Learning Algorithms for Cloud Computing Security: A Systematic Review

Major Cloud Computing Security Challenges with Innovative Approaches

Cloud computing is the most favored contemporary era as it has the cap potential to decrease its costs related to computing which improves its pliability and extensibility for further computer processes. Among the past some years, cloud computing has been well superior as a hopeful idea for business organization to one of the additives of the IT organization it really is fastest growing. There are important troubles like protection which the IT agencies take into difficulty that misplaced with the heavy insertion of cloud computing Technology. Though records may be saved in any vicinity. The important reality is Storage of records is saved best with inside the vicinity of the clients that's been the numerous varieties of worries created. In cloud computing region the maximum argued hassle is especially Security. This study mainly intends to analyze and address the major cloud computing security challenges with innovative approaches. To meet that aim, a range of scientific methods, including descriptive, analytical, observation and comparison are taken into account. Given the results, the major key to a success cloud computing projects is reaching stability among the commercial enterprise blessings and the hidden capacity dangers that can affect efficacy.

Cloud computing communication environment security and performance: Challenges and probable solutions

The adoption of cloud computing has continued to grow, owing to its broad network access, remote accessibility, scalability, on demand self-service, rapid elasticity and resource pooling. In this environment, numerous devices are deployed to access the cloud data and services. This potentially increases the attack services, more so in public clouds. As such, the biggest challenge is the secure data exchange over insecure open network channels. This issue has seen the development of numerous security solutions over the recent past. In this paper, a survey of these security schemes, techniques and methods is provided. The findings indicate that majority of these methods have vulnerabilities that expose users to many attacks. Additionally, some of these security solutions have extremely high complexities that make the cloud communications inefficient.

Data Security in Cloud Computing

Data Security in Cloud Computing

Data Privacy and Security in Cloud Computing Environments

The globe has adopted the cloud computing environment, which organizes data and manages space for data storage, processing, and access. This technical development has brought up questions regarding data security and privacy in cloud computing environments, though. The purpose of this abstract is to offer a thorough review of the issues, solutions, and future developments related to data privacy and security in cloud computing. Keeping data private and secure while it is being processed and stored in outside data centres is the main difficulty in cloud computing systems. The abstract discusses the dangers of insider threats, data breaches, and illegal access to sensitive information. It digs further into the legal and compliance criteria that businesses must follow in order to protect user data in the cloud. In result, data privacy and security in cloud computing environments remain critical concerns for organizations and individuals alike. In the survey the overview of how to use cloud storage globally and its challenges, solution and future innovation is well explained. It underscores the importance of robust encryption, access controls, user awareness, and emerging technologies in safeguarding data in the cloud. By addressing these concerns, organizations can leverage the power of cloud computing while maintaining the confidentiality, integrity, and availability of their data.

A comprehensive survey of cloud computing, encompassing architectures, data storage, services, security, and applications

Generally, enterprises store data in internal storage and establish firewalls to protect against intruders attempting to access the data. In cloud computing, data is stored in storage provided by service providers. Information privacy protection involves storing data in encrypted form. The cloud system is responsible for both storage and the encryption or decryption of data, allowing system administrators to access encrypted data and decryption keys. This capability poses a risk to information privacy as it enables unauthorized access to information. This survey discusses Data Storage in Cloud Computing, focusing on the concept of storing encryption and decryption services alongside the storage service. Additionally, the survey examines storage system architecture, security challenges, services, and user application systems to provide a comparison of various cloud models. In addition to the fundamental aspects of data storage and encryption, this survey delves into the evolving landscape of cloud computing, addressing the dynamic nature of storage system architectures. Enterprises increasingly rely on cloud service providers for scalable and flexible storage solutions, prompting a critical examination of the security challenges associated with this paradigm shift. The survey examines how storage services in different cloud models affect user applications and privacy. It stresses the importance of understanding cloud providers' services amidst evolving technology and growing threats. The study delves into trends like edge computing and distributed storage, evaluating their impact on cloud storage security. Overall, it aims to provide a comprehensive overview for enterprises and researchers to make informed decisions on data security in Cloud Computing.