Auction Based Scheme for Resource Allotment in Cloud Computing

Bhan, Rati; Singh, Avtar; Pamula, Rajendra; Faruki, Parvez

doi:10.1007/978-3-319-93940-7_5

Cited by 7 publications

(2 citation statements)

References 22 publications

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“…Current research proposes a static data flow analysis to evaluate Android app security. The methodology is based on computing a precise control flow [24], [25]. Android employs callbacks, an implicit part of the framework.…”

Section: Related Workmentioning

confidence: 99%

Detection of Sensitive Malicious Android Functionalities using Inter-component Control-flow Analysis

Bhan,

Faruki,

Pamula

2024

IEEE Access

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Android Smartphone's popularity among users and developers is due to its open architecture and third-party apps. The exponential growth of third-party developer apps needs a robust code audit before upload. The weak program analysis at app stores adversely affects security. Third-party developers can update the app to introduce malicious activities. Sensitive sensor hardware and software resources are exfiltrated for leaking sensitive user data like messages, contacts, audio, and images. Malicious hidden features undermine user permission, including short message service (SMS), audio and video recording, voice calls, and image capturing. This paper treats the covert activities as called malicious features. The paper proposes a robust inter-component communication (ICC) based detection approach to identify such hidden functionality exploited by adversaries. The proposed technique detects sensitive features exploited by persistent malware without user knowledge. Despite the asynchronous characteristics of the ICC Application Programming Interface (API), we develop a precise ICC-based component-interaction graph (CIG) from the app bytecode. Moreover, we enrich the CIG with data flow analysis to identify the component reachability utilizing malicious features from legitimate user interactions. The proposed static app analysis framework identifies the prominent malware which exploits sensitive device resources. We assessed 25K benign and 13.3K malicious apps from 211 malware families with a classification rate of 0.40 % false positive (FP) and 0.37 % false negative (FN), better than existing state-of-the-art. In addition, we detect hidden features in unseen apps that subvert traditional antimalware.

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Section: Related Workmentioning

confidence: 99%

Detection of Sensitive Malicious Android Functionalities using Inter-component Control-flow Analysis

Bhan,

Faruki,

Pamula

2024

IEEE Access

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“…grows [1]. There haven't been many recent efforts in this regard, where the main emphasis is on economically viable solutions [1], [12], [13], [14], [15]. In the current cloud computing environment, the following pricing models are in use:…”

Section: Introductionmentioning

confidence: 99%

Resource Allocation in Cloud Computing with Economical Strategic Setting

Bandyopadhyay,

Swain,

Dash

et al. 2023

IJCDS

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Resource allocation and pricing techniques in cloud computing is a challenging task for every researcher. Everyone try to find out a good solutions of resource allocation and pricing in a dynamic way. Every user give their demands for taking the cloud resources for a particular time period. If the request is not fulfilled within the time period then the user ask for extra time for completion his task. The cloud computing automatically generate a reverse auction strategy for implementing the task and the task will be performed in the other cloud which have been participated in the auction. Here we have proposed Resource Allocation with Economical Strategy (RAES) as an efficient and cost-effective framework for resource allocation with pricing . We have compared our algorithm with ECON and Greedy algorithm. For simulation purpose, we keep number of users and capacity of the system constant and vary average number of CPU required by the users. We observe that number of allocations made by our algorithm is significantly good perform than the basic ECON scheduling algorithm and Greedy algorithm.

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