• Title/Summary/Keyword: Cloud computing security

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A Model to Investigate the Security Challenges and Vulnerabilities of Cloud Computing Services in Wireless Networks

  • Desta Dana Data
    • International Journal of Computer Science & Network Security
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    • v.23 no.10
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    • pp.107-114
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    • 2023
  • The study provides the identification of vulnerabilities in the security issues by Wireless Network. To achieve it the research focus on packet flow analysis, end to end data communication, and the security challenges (Cybercrime, insider threat, attackers, hactivist, malware and Ransomware). To solve this I have used the systematic literature review mechanisms and demonstrative tool namely Wireshark network analyzer. The practical demonstration identifies the packet flow, packet length time, data flow statistics, end- to- end packet flow, reached and lost packets in the network and input/output packet statics graphs. Then, I have developed the proposed model that used to secure the Wireless network solution and prevention vulnerabilities of the network security challenges. And applying the model that used to investigate the security challenges and vulnerabilities of cloud computing services is used to fulfill the network security goals in Wireless network. Finally the research provides the model that investigate the security challenges and vulnerabilities of cloud computing services in wireless networks

An Overview of Data Security Algorithms in Cloud Computing

  • D. I. George Amalarethinam;S. Edel Josephine Rajakumari
    • International Journal of Computer Science & Network Security
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    • v.23 no.5
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    • pp.65-72
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    • 2023
  • Cloud Computing is one of the current research areas in computer science. Recently, Cloud is the buzz word used everywhere in IT industries; It introduced the notion of 'pay as you use' and revolutionized developments in IT. The rapid growth of modernized cloud computing leads to 24×7 accessing of e-resources from anywhere at any time. It offers storage as a service where users' data can be stored on a cloud which is managed by a third party who is called Cloud Service Provider (CSP). Since users' data are managed by a third party, it must be encrypted ensuring confidentiality and privacy of the data. There are different types of cryptographic algorithms used for cloud security; in this article, the algorithms and their security measures are discussed.

A Survey of Security and Privacy Challenges in Cloud Computing: Solutions and Future Directions

  • Liu, Yuhong;Sun, Yan Lindsay;Ryoo, Jungwoo;Rizvi, Syed;Vasilakos, Athanasios V.
    • Journal of Computing Science and Engineering
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    • v.9 no.3
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    • pp.119-133
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    • 2015
  • While cloud computing is gaining popularity, diverse security and privacy issues are emerging that hinder the rapid adoption of this new computing paradigm. And the development of defensive solutions is lagging behind. To ensure a secure and trustworthy cloud environment it is essential to identify the limitations of existing solutions and envision directions for future research. In this paper, we have surveyed critical security and privacy challenges in cloud computing, categorized diverse existing solutions, compared their strengths and limitations, and envisioned future research directions.

A Study on Security of Virtualization in Cloud Computing Environment for Convergence Services (융합서비스를 위한 클라우드 컴퓨팅 환경에서 가상화 보안에 관한 연구)

  • Lee, Bo-Kyung
    • Journal of the Korea Convergence Society
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    • v.5 no.4
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    • pp.93-99
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    • 2014
  • Cloud computing refers to borrow IT resources as needed by leveraging Internet technology and pay as much as you used by supporting real-time scalability depending on the service load. Virtualization which is the main technology of cloud computing is a technology that server, storage and hardware are regarded as not separate system but one system area and are allocated as needed. However, the security mechanisms provided by virtualized environments are difficult to cope with the traditional security mechanisms, having basic levels of visibility, control and audit function, on which the server is designed to monitor the traffic between the servers. In this paper, the security vulnerabilities of virtualization are analysed in the cloud computing environment and cloud virtualization security recommendations are proposed.

Towards Smart Card Based Mutual Authentication Schemes in Cloud Computing

  • Li, Haoxing;Li, Fenghua;Song, Chenggen;Yan, Yalong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.7
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    • pp.2719-2735
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    • 2015
  • In the cloud environment, users pay more attentions to their data security since all of them are stored in the cloud server. Researchers have proposed many mutual authentication schemes for the access control of the cloud server by using the smart card to protect the sensitive data. However, few of them can resist from the smart card lost problem and provide both of the forward security and the backward security. In this paper, we propose a novel authentication scheme for cloud computing which can address these problems and also provide the anonymity for the user. The trick we use is using the password, the smart card and the public key technique to protect the processes of the user's authentication and key exchange. Under the Elliptic Curve Diffie-Hellman (ECDH) assumption, it is provably secure in the random oracle model. Compared with the existing smart card based authentication schemes in the cloud computing, the proposed scheme can provide better security degree.

A Performance Comparison between XEN and KVM Hypervisors While Using Cryptographic Algorithms

  • Mohammed Al-Shalabi;Waleed K. Abdulraheem;Jafar Ababneh;Nader Abdel Karim
    • International Journal of Computer Science & Network Security
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    • v.24 no.1
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    • pp.61-70
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    • 2024
  • Cloud Computing is internet-based computing, where the users are provided with whatever service they need from the resources, software, and information. Recently, the security of cloud computing is considered as one of the major issues for both cloud service providers CSP and end-users. Privacy and highly confidential data make many users refuse to store their data within cloud computing, since data on cloud computing is not dully secured. The cryptographic algorithm is a technique which is used to maintain the security and privacy of the data on the cloud. In this research, we applied eight different cryptographic algorithms on Xen and KVM as hypervisors on cloud computing, to be able to measure and compare the performance of the two hypervisors. Response time and CPU utilization while encryption and decryption have been our aspects to measure the performance. In terms of response time and CPU utilization, results show that KVM is more efficient than Xen on average at 11.5% and 11% respectively. While TripleDES cryptographic algorithm shows a more efficient time response at Xen hypervisor than KVM.

A study on Development of Certification Schemes for Cloud Security (국내 클라우드 보안 인증스킴 개발에 관한 연구)

  • Jung, Jin-Woo;Kim, Jungduk;Song, Myeong-Gyun;Jin, Chul-Gu
    • Journal of Digital Convergence
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    • v.13 no.8
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    • pp.43-49
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    • 2015
  • As the cloud computing law was passed in March, 2015, many private companies and public organizations give consideration to introduce cloud computing services. However, most of them are still concerned about the security issues in cloud computing services. To solve the problem, a certification system of cloud security is necessary as an enabler for adoption of the trusted cloud services. There have been a number of studies about certification systems for cloud security, but only few studies exist about certification scheme of cloud security. Therefore, in this study, foreign certification systems for cloud security are analyzed to draw requirements for developing a domestic certification scheme for cloud security. Based on the result of analysis, this study proposes the three certification schemes of cloud security, which have been reviewed by the focus group interview method to draw advantages and disadvantages of each scheme.

Cloud Security and Privacy: SAAS, PAAS, and IAAS

  • Bokhari Nabil;Jose Javier Martinez Herraiz
    • International Journal of Computer Science & Network Security
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    • v.24 no.3
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    • pp.23-28
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    • 2024
  • The multi-tenancy and high scalability of the cloud have inspired businesses and organizations across various sectors to adopt and deploy cloud computing. Cloud computing provides cost-effective, reliable, and convenient access to pooled resources, including storage, servers, and networking. Cloud service models, SaaS, PaaS, and IaaS, enable organizations, developers, and end users to access resources, develop and deploy applications, and provide access to pooled computing infrastructure. Despite the benefits, cloud service models are vulnerable to multiple security and privacy attacks and threats. The SaaS layer is on top of the PaaS, and the IaaS is the bottom layer of the model. The software is hosted by a platform offered as a service through an infrastructure provided by a cloud computing provider. The Hypertext Transfer Protocol (HTTP) delivers cloud-based apps through a web browser. The stateless nature of HTTP facilitates session hijacking and related attacks. The Open Web Applications Security Project identifies web apps' most critical security risks as SQL injections, cross-site scripting, sensitive data leakage, lack of functional access control, and broken authentication. The systematic literature review reveals that data security, application-level security, and authentication are the primary security threats in the SaaS model. The recommended solutions to enhance security in SaaS include Elliptic-curve cryptography and Identity-based encryption. Integration and security challenges in PaaS and IaaS can be effectively addressed using well-defined APIs, implementing Service Level Agreements (SLAs), and standard syntax for cloud provisioning.

Information Security Management System on Cloud Computing Service (클라우드 컴퓨팅 서비스에 관한 정보보호관리체계)

  • Shin, Kyoung-A;Lee, Sang-Jin
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.22 no.1
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    • pp.155-167
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    • 2012
  • Cloud computing service is a next generation IT service which has pay-per-use billing model and supports elastically provisioning IT infra according to user demand. However it has many potential threats originating from outsourcing/supporting service structure that customers 'outsource' their own data and provider 'supports' infra, platform, application services, the complexity of applied technology, resource sharing and compliance with a law, etc. In activation of Cloud service, we need objective assessment standard to ensure safety and reliability which is one of the biggest obstacles to adopt cloud service. So far information security management system has been used as a security standard for a security management and IT operation within an organization. As for Cloud computing service it needs new security management and assessment different from those of the existing in-house IT environment. In this paper, to make a Information Security Management System considering cloud characteristics key components from threat management system are drawn and all control domain of existing information security management system as a control components are included. Especially we designed service security management to support service usage in an on-line self service environment and service contract and business status.

Task Scheduling on Cloudlet in Mobile Cloud Computing with Load Balancing

  • Poonam;Suman Sangwan
    • International Journal of Computer Science & Network Security
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    • v.23 no.10
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    • pp.73-80
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    • 2023
  • The recent growth in the use of mobile devices has contributed to increased computing and storage requirements. Cloud computing has been used over the past decade to cater to computational and storage needs over the internet. However, the use of various mobile applications like Augmented Reality (AR), M2M Communications, V2X Communications, and the Internet of Things (IoT) led to the emergence of mobile cloud computing (MCC). All data from mobile devices is offloaded and computed on the cloud, removing all limitations incorporated with mobile devices. However, delays induced by the location of data centers led to the birth of edge computing technologies. In this paper, we discuss one of the edge computing technologies, i.e., cloudlet. Cloudlet brings the cloud close to the end-user leading to reduced delay and response time. An algorithm is proposed for scheduling tasks on cloudlet by considering VM's load. Simulation results indicate that the proposed algorithm provides 12% and 29% improvement over EMACS and QRR while balancing the load.