A remotely keyed file encryption scheme under mobile cloud computing

Yang, Li; Han, Ziyi; Huang, Zhengan; Ma, Jianfeng

doi:10.1016/j.jnca.2017.12.017

Cited by 54 publications

(27 citation statements)

References 8 publications

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“…The authors in [25] propose a new bio-key production algorithm called FVHS, which unites the benefits of the biometrics authentication and userkey authentication. Also, in [26] the authors suggest a new scheme named FREDP (File Remotely keyed Encryption and Data Protection). This strategy entails interaction between…”

Section: Related Work and Discussionmentioning

confidence: 99%

RoughDroid: Operative Scheme for Functional Android Malware Detection

Riad

2018

Security and Communication Networks

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There are thousands of malicious applications that invade Google Play Store every day and seem to be legal applications. These malicious applications have the ability to link the malware referred to as Dresscode created for network hacking as well as scrolling information. Since Android smartphones are indispensable, there should be an efficient and also unusual protection. Therefore, Android smartphones usually continue to be safeguarded from novel malware. In this paper, we propose RoughDroid, a floppy analysis technique that can discover Android malware applications directly on the smartphone. RoughDroid is based on seven feature sets ( 1 , 2 , . . . , 7 ) from the XML manifest file of an Android application, plus three feature sets ( 8 , 9 , and 10 ) from the Dex file. Those feature sets pass through the Rough Set algorithm to elastically classify the Android application as either benign or malicious. The experimental results mainly consider 20 most common malware families, plus three new malware families (Grabos, TrojanDropper.Agent.BKY, and AsiaHitGroup) that invade Google Play Store at 2017. According to the experimental results, RoughDroid has 95.6% detection performance for the malware families at 1% false-positive rate. Finally, RoughDroid is a lightweight approach for straightly examining downloaded applications on the smartphone.

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Section: Related Work and Discussionmentioning

confidence: 99%

RoughDroid: Operative Scheme for Functional Android Malware Detection

Riad

2018

Security and Communication Networks

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“…We need to send users' data to clouds and guarantee the security of users data while ensuring rapid transmission of instant data [32,33] and the security of public storage clouds [34,35]. Note that mining data from multiple data sources to extract useful information [36,37] for better understanding of security risk evaluation should be considered in the future study.…”

Section: Discussionmentioning

confidence: 99%

A Security Sandbox Approach of Android Based on Hook Mechanism

Jiang

Liu

Yang

et al. 2018

Security and Communication Networks

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As the most widely applied mobile operating system for smartphones, Android is challenged by fast growing security problems, which are caused by malicious applications. Behaviors of malicious applications have become more and more inconspicuous, which largely increase the difficulties of security detection. This paper provides a new security sandbox approach of Android based on hook mechanism, to further enrich Android malware detection technologies. This new sandbox monitors the behaviors of target application by using a process hook-based dynamic tracking method during its running period. Compared to existing techniques, (1) this approach can create a virtual space where apk can be installed, run, and uninstalled, and it is isolated from the outside and (2) a risk assessment approach based on behavior analysis is given so that users can obtain an explicit risk prognosis for an application to improve their safety. Tests on malware and normal application samples verify this new security sandbox.

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“…Presently, MCC has already been applied to numerous fields, such as file encryption (Yang, Han, Huang, & Ma, ), medical diagnosis (Liu, Zhang, Ling, & Liu, ; Venkatesan, Karthigaikumar, & Satheeskumaran, ), high education (Arpaci, ), energy (Nir, Matrawy, & St‐Hilaire, ), smart city (Enayet, Razzaque, Hassan, Alamri, & Fortino, ; Mazza, Pages‐Bernaus, Tarchi, Juan, & Corazza, ), and so on. The Legendary investor, Warren Buffett, once said that mobile cloud computing is the future of technology.…”

Section: Introductionmentioning

confidence: 99%

Novel neutrosophic Dombi Bonferroni mean operators with mobile cloud computing industry evaluation

Peng

Smarandache

2019

Expert Systems

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In the age of mobile cloud computing, we are confronted by mobility, diversity of network access types, frequent network disconnection and poor reliability, and security with complex structures. Mobile cloud computing industry decision making is crucially important for countries or societies to enhance the effectiveness and validity of leadership, which can greatly expedite industrialized and large‐scale development. In the case of mobile cloud computing industry decision evaluation, the indispensable issue arises serious inexactness, fuzziness, and ambiguity. Single‐valued neutrosophic set, disposing the indeterminacy portrayed by truth membership T, indeterminacy membership I, and falsity membership F, is a more viable and effective means to seize indeterminacy. The main purpose of the current paper is to investigate the novel operations on single‐valued neutrosophic number (SVNN) based on Dombi Bonferroni mean (DBM) and Dombi geometric Bonferroni mean (DGBM) operator, which have the enormous advantage of high flexibility with adjustable parameters. Moreover, we employ the DBM operator to present single‐valued neutrosophic DBM (SVNDBM) operator, single‐valued neutrosophic weighted DBM (SVNWDBM) operator, single‐valued neutrosophic DGBM (SVNDGBM), operator and single‐valued neutrosophic weighted DGBM (SVNWDGBM) operator for disposing with the aggregation of SVNNs and develop two multiple attribute decision making methods based on SVNWDBM and SVNWDGBM. The validity of algorithms are illustrated by a mobile cloud computing industry decision making issue, along with the sensitivity analysis of diverse parameters on the ranking. Finally, a comparison of the developed with the existing single‐valued neutrosophic decision making methods has been executed for displaying their effectiveness.

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A remotely keyed file encryption scheme under mobile cloud computing

Cited by 54 publications

References 8 publications

RoughDroid: Operative Scheme for Functional Android Malware Detection

RoughDroid: Operative Scheme for Functional Android Malware Detection

A Security Sandbox Approach of Android Based on Hook Mechanism

Novel neutrosophic Dombi Bonferroni mean operators with mobile cloud computing industry evaluation

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