A self-protecting agents based model for high-performance mobile-cloud computing

Date

2018-08-01

Author

Angın, Pelin
RANCHAL, Rohit

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

113
views

0
downloads

Mobile-cloud computing (MCC) allows devices with resource and battery limitations to achieve computation-intensive tasks in real-time. While this new paradigm of computing seems beneficial for real-time mobile computing, existing MCC models mainly rely on keeping full clones of program code at remote sites and unstandardized/uninteroperable environments, hampering wider adoption. Moreover, the security risks arising from offloading data and code to an untrusted platform and the computational overhead introduced by complex security mechanisms stand as deterrents for adoption of MCC at large. In this paper, we present a context-dependent computation-offloading model for MCC, which is based on application segments packed into autonomous agents. This approach only requires isolated execution containers in the cloud to provide a runtime environment for the agents, and minimal involvement of the mobile platform during the computation process. The agents in the proposed model are able to protect themselves from tampering using integrity-checkpointing and an authenticated encryption-based communication mechanism. Experiments with two mobile applications demonstrate the effectiveness of the approach for high-performance, secure MCC.

Subject Keywords

General Computer Science, Law

URI

https://hdl.handle.net/11511/46886

Journal

COMPUTERS & SECURITY

DOI

https://doi.org/10.1016/j.cose.2018.04.011

Collections

Department of Computer Engineering, Article

Suggestions

OpenMETU
Core

A Self-Cloning Agents Based Model for High-Performance Mobile-Cloud Computing Angın, Pelin; Jin, Zhongjun (2015-07-02) The rise of the mobile-cloud computing paradigm in recent years has enabled mobile devices with processing power and battery life limitations to achieve complex tasks in real-time. While mobile-cloud computing is promising to overcome the limitations of mobile devices for real-time computing, the lack of frameworks compatible with standard technologies and techniques for dynamic performance estimation and program component relocation makes it harder to adopt mobile-cloud computing at large. Most of the avai...
On-demand conversation customization for services in large smart environments Elgedawy, I. (IBM, 2011-01-01) Services in large smart environments, as defined in this paper, are "aware" of their users' contexts and goals and are able to automatically interact with one another in order to achieve these goals. Unfortunately, interactions between services (i.e., service conversations) are not necessarily compatible, as services could have different interfaces (i.e., signature incompatibilities), as well as different logic for message ordering (i.e., protocol incompatibilities). Such conversation incompatibilities crea...
A Depth-optimal Low-complexity Distributed Wireless Multicast Algorithm Akyurek, A. Sinan; Uysal, Elif (Oxford University Press (OUP), 2011-06-01) This paper presents a wireless multicast tree construction algorithm, SWIM (Source-initiated WIreless Multicast). SWIM constructs a tree on which each multicast destination has the minimum possible depth (number of hops from the nearest source). It is proved that SWIM is fully distributed, with a worst case complexity upper-bounded by O(N-3), and an empirically found average complexity of only O(N-2). SWIM forms one shared tree from source(s) to the multicast destinations; yet, as a by-product, it creates a...
A temporal neural network model for constructing connectionist expert system knowledge bases Alpaslan, Ferda Nur (Elsevier BV, 1996-04-01) This paper introduces a temporal feedforward neural network model that can be applied to a number of neural network application areas, including connectionist expert systems. The neural network model has a multi-layer structure, i.e. the number of layers is not limited. Also, the model has the flexibility of defining output nodes in any layer. This is especially important for connectionist expert system applications.
An agent-based optimization framework for mobile-cloud computing Angın, Pelin (2013-01-01) The proliferation of cloud computing resources in the recent years offers a way for mobile devices with limited resources to achieve computationally intensive tasks in real-time. The mobile-cloud computing paradigm, which involves collaboration between mobile and cloud resources, is expected to become increasingly popular in mobile application development. Dynamic partitioning of applications between mobile and cloud platforms based on resource availability is crucial in achieving the best performance for a...

Citation Formats

P. Angın and R. RANCHAL, “A self-protecting agents based model for high-performance mobile-cloud computing,” COMPUTERS & SECURITY, pp. 380–396, 2018, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/46886.