Mobile Cloud Computing: Security Issues and Considerations

Sarrab, Mohamed; Bourdoucen, Hadj

doi:10.12720/jait.6.4.248-251

Cited by 6 publications

(3 citation statements)

References 7 publications

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“…Providers may also provide company training, education and guidance on OPSEC (Open Platform for Secure Enterprise Connectivity) to ensure full implementation of the policies and procedures. The policies related to access control, authentication procedures, user management, encryption, content delivery, and overall communication security should be developed and the measures should be taken for their acceptability [12]. Providers should ensure the users about the provision of security and privacy of user data and applications.…”

Section: Security and Privacy Issues In Mobile Cloud Computingmentioning

confidence: 99%

Security and Privacy Issues in Mobile Cloud Computing

Alakbarov¹,

Alakbarov²

2018

JPIT

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SECURITY AND PRIVACY ISSUES IN MOBILE CLOUD COMPUTINGThis article investigates security and privacy issues on cloud platforms used in mobile cloud computing. Threats arisen from users' data protection and network security in mobile cloud computing are analyzed. At the same time, the article analyzes information security in mobile cloud computing, confidentiality, location and displacement of data, completeness of data, cyber attacks. Scientific-theoretical problems of security and privacy issues of mobile cloud computing are investigated and the status of researches in this direction is analyzed. IntroductionAt present, intensive research is being carried out to effectively utilize the computing and memory resources of data processing centers with the use of Cloud Computing technology throughout the world. The systems with large computing and memory resources are built based on computer networks with high-speed connection channel. The emergence of new cloud services and the development of mobile applications for mobile devices has recently led to the creation of mobile computing systems based on these technologies. At present, mobile users are widely benefitting from Cloud Computing technologies. The rapid growth of mobile devices (laptops, tablets, smartphones, etc.) in the world and their integration to cloud computing over the Internet through appropriate telecommunication technologies (GPS, 3G, 4G, Wi-Fi, etc.) has led to the development of a new technology -mobile cloud computing. Obviously, the capabilities of any mobile device (computing and memory resources) are limited. Nevertheless, mobile users use these devices to solve issues requiring great computing and memory resources. In this regard, cloud computing technologies are widely used. Thus, the problem of restricted computing and memory resources available on mobile devices can be eliminated with the use of cloud technologies. In recent years, the fall in prices of cloud services has enabled mobile users to benefit from these services.Storage and use of large-scale data of users and organizations in cloud attracts hackers and create privacy problems for mobile users [1,2]. In this regard, the threats to the security of mobile devices and the risks of mobile cloud computing have been studied and recommendations have been given. The main goal of a mobile computing environment is to provide mobile users with software applications and services through cloud service providers over the Internet. Thus, to ensure the access of users of mobile cloud computing to the applications on cloud servers, it is important to analyze problems occurring in different parts of the network, that is in mobile devices, network, mobile applications and their security.This article thoroughly explores the problem of data security and confidentiality of personal data emerged from the use of mobile cloud computing.

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Section: Security and Privacy Issues In Mobile Cloud Computingmentioning

confidence: 99%

Security and Privacy Issues in Mobile Cloud Computing

Alakbarov¹,

Alakbarov²

2018

JPIT

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“…Using mobile devices to access and run software apps have some related limitations include: limited computing ability, processing power, and limited storage capacity. To avoid these limitations, the idea of cloud computing is introduced as the use of external computing resources that provides the services over Internet [3].…”

Section: Introductionmentioning

confidence: 99%

A Novel Model for Securing Mobile-based Systems against DDoS Attacks in Cloud Computing Environment

El-Sofany

El-Seoud

2019

Int. J. Interact. Mob. Technol.

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the increasing growth of mobile devices technology and Mobile-based systems with the emerging of cloud computing technology, created a Mobile Cloud Computing field to be the recent future technology for different wireless services. The development of Mobile-based system under cloud computing environment solve some performance and environment related issues include: bandwidth, storage capacity, availability, scalability and heterogeneity. The Mobile-based cloud computing apps are different comparing to mobile computing apps, since in the first model the devices run cloud based web applications not as mobile computing native apps. Services of Mobile-based systems via cloud are accessing and sharing through internet connection thus they are open for attacker to attack on its security. Distributed Denial of Service (DDoS) attacks can cause a big problem in mobile cloud computing security. The main objective of DDoS attacks is to infect wireless devises resources (e.g., software applications, wireless network, etc.) and make them unavailable to the authorized user. In DDoS, the attacker tries to overload the Mobile-based service with traffic. The main objective of this research paper is to introduce novel model for securing Mobile-based systems against DDoS attacks. Efficiency and performance analysis evaluations of the proposed model are presented. The feedbacks of the experimental results were highly promising, for protecting mobile-based cloud computing systems against DDoS attacks.

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“…This is an internet-based generation where mobile devices are loaded with many applications. The context is distinctively contrasting with mobile computing since in MCC, gadgets run cloud-centered web applications whereas mobile computing runs with apps [27]. With the fast growth of mobile applications accompanied by cloud computing, MCC as a promising technology aimed at mobile services is drawing more attention [22].…”

Section: Introductionmentioning

confidence: 99%

A Krill Herd Behaviour Inspired Load Balancing of Tasks in Cloud Computing

Hasan¹,

Mohammed²

2017

STUD INFORM CONTROL

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A developing trend in the IT environment is mobile cloud computing (MCC) with colossal infrastructural and resource requirements. In the cloud computing environment, load balancing -a way of distributing workloads across numerous computing resources, is a vital aspect. A proficient load balancing guarantees an effective resource usage through the supply of network resources based on the user demands. It can also organize the network clients using the fitting planning criteria. This paper sets forth an advanced load balancing and energy/cost aware technique for a demand-based network resource allocation in cloud computing. The load balancing process in the proposed strategy utilizes a Krill load balancer (Krill LB) which is expected to achieve a well-balanced load over virtual machines. The aim of using the Krill LB as the load balancer is to increase the throughput of the network as much as possible. The speed, task cost, and weight of the tasks were first determined, after which, the Krill herd optimization algorithm was for the load balancing based on the measured parameters. Furthermore, a modified dynamic energy-aware cloudlet-based mobile cloud computing model (MDECM) was introduced for energy cost awareness in load balancing based on the service rate and energy of the mobile users. The proposed work was aimed at optimizing resource allocation in MCC in an energy-efficient manner. The performance of the suggested Krill-LB was benchmarked against that of Honey Bee Behavior Load Balancing (HBB-LB), Kill Herd, and Round Robin algorithms. or applications to servers in cloud domain in order to execute them, and after that, recover the outcome of the execution from these servers [8]. It utilizes communication technology to share information and assets and incorporates locationaware technologies, mobile access to IT, and energy sparing technology specifically designed for mobile devices [15]. As of late, mobile applications have been noticeably copious with different classes, such as entertainment, health, games, business, social networking, travel, andIn the cloud, the load assigned to every node in the network is similarly distributed with an even quantity of resources over time. This enhances the scheme performance by moving the workloads among various nodes [4] [26]. The primary goal is to expedite the implementation of applications on resources whose workload changes at the runtime in an unpredictable way. These are generally discussed in homogeneous conditions such as grids. Fundamentally, there are two ways of load balancing procedures: (i) Static and (ii) dynamic [3]. The load balancing plan and a migration policy are aimed at virtual machine (VM) clustering to brilliantly choose a VM from an over-burdened Studies in Informatics and Control, 26(4) 413-424,

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Mobile Cloud Computing: Security Issues and Considerations

Cited by 6 publications

References 7 publications

Security and Privacy Issues in Mobile Cloud Computing

Security and Privacy Issues in Mobile Cloud Computing

A Novel Model for Securing Mobile-based Systems against DDoS Attacks in Cloud Computing Environment

A Krill Herd Behaviour Inspired Load Balancing of Tasks in Cloud Computing

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