A Survey of Research on Mobile Cloud Computing

Guan, Le; Xu, Ke; Song, Meina; Song, Junde

doi:10.1109/icis.2011.67

Cited by 136 publications

(70 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The lack of the energy significantly affects the performance and efficiency of the mobile cloud device including running applications on the cloud [35,36]. Based on the experimental results, we observed that the energy consumption of the mobile devices increased when the mobile device initiated the handover process.…”

Section: Energy Consumptionmentioning

confidence: 77%

Energy-efficient service-oriented architecture for mobile cloud handover

Hani

Dichter

2017

J Cloud Comp

View full text Add to dashboard Cite

Mobile cloud computing uses features to deliver outsourcing data to remotely available mobile devices. However, the flexible nature of the mobile device is a critical challenge for the mobile cloud computing environment. The mobile phone significantly degrades the data transfer performance when initiating the handover process. Thus, an energy-efficient handover process could improve the quality of service (QoS). Here, we introduce a secure energy-efficient and quality-of-service architecture (EEQoSA) for the handover process in the mobile cloud computing environment. The proposed architecture involves four layers: application, the Internet protocol multimedia subsystem (IPMS), communication, and media with connectivity layers. These four layers collectively handle the energy-efficiency, security and QoS parameters. Existing serviceoriented architectures designed for mobile cloud computing are based on the symmetric encryption cryptography to support different media services. However, this approach easily allows an adversary to expose the symmetric key and gain access to private data. Thus, our proposed architecture uses the secure and strong authentication (SSA) process at the IPMS layer by protecting the media services from unauthorized users, as the IPMS is the central layer that could be the entry point for an adversary. Furthermore, to extend the mobile lifetime during the handover process, an energy detection (ED) model is deployed at the communication layer to detect the energy level of the mobile device prior to the handover initialization process. The media with the connectivity layer supports the secure handover process using a priority enforcement module that allows only legitimate users to complete the re-registration process after initiating the handover. Finally, the architecture is tested using the CloudSim simulation environment and validated by a comparison with other known service-oriented architectures.

show abstract

Section: Energy Consumptionmentioning

confidence: 77%

Energy-efficient service-oriented architecture for mobile cloud handover

Hani

Dichter

2017

J Cloud Comp

View full text Add to dashboard Cite

show abstract

“…Furthermore, authentication plays an important role in preserving security and privacy of mobile communication especially in wide spread networks such as MCC [37,38,40]. It helps to protect shared information from unauthorized persons.…”

Section: Introductionmentioning

confidence: 99%

Keystroke Dynamic Authentication in Mobile Cloud Computing

Babaeizadeh¹,

Bakhtiari²,

Maarof³

2014

IJCA

View full text Add to dashboard Cite

One of the important challenges in Mobile Cloud Computing (MCC) is related to the authentication of users. There is increasing demand for suitable authentication method for accessing to the shared information via the Internet through Cloud Service Provider (CSP). Personal identification number is the most common mechanism for authentication in mobile devices; however it is not secure way for authenticating users. This work presents a method of authentication which able to identify users based on Keystroke Dynamic Authentication (KDA). Furthermore, keystrokes duration is considered as an attribute for measuring keystrokes of mobile's users. This paper proposed strong method of authentication in the password authentication scheme by combining it with keystroke authentication, which is a type of behavioral biometric mechanism. Experimental results show, the proposed method can work 97.014% correctly, due to the keystroke duration of each user depends on their behavioral characteristic and it can be measured up to milliseconds. On the other hand, if unauthorized person knows the username and password of legal user can not gain access rights because of difference between their keystroke duration. Therefore, it is hard for an attacker to pretend as an owner, and this method enhances the security of authentication in MCC

show abstract

“…In [30], the authors present the comparison of different application models for MCC and highlight the research challenges on the subject. The authors in [31] have investigated the MCC architectures, application offloading, and context-aware services. To the best of our knowledge, there exists only a single survey [32] that discusses security issues as a part of the survey in MCC .…”

Section: Security Threats and Counter Measuresmentioning

confidence: 99%

“…As MCC is in the preliminary stages, limited surveys are available in various domains of MCC [30][31][32]. In [30], the authors present the comparison of different application models for MCC and highlight the research challenges on the subject.…”

Section: Security Threats and Counter Measuresmentioning

confidence: 99%