Wszystkie pola: mobile computing - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: An Android Security Policy Enforcement Tool
Autorzy:: Cotterell, K.
Welch, I.
Chen, A.
Powiązania:: https://bibliotekanauki.pl/articles/226930.pdf
Data publikacji:: 2015
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: mobile computing
Java
Android
security
Opis:: The Android operating system (OS) has become the dominant smart phone OS in recent years due to its accessibility, usability and its open-source philosophy. Consequently, this has also made it a popular target for attackers who aim to install malware on Android devices and take advantage of Android’s coarsegrained, non-revoking permission system. This project designs, implements and evaluates a security tool named COMBdroid, which addresses these security concerns in Android by enforcing fine-grained, user-defined policies. COMBdroid modifies an application before installation, allowing it to override points of security vulnerabilities at run-time. As a proof of concept we have implemented three policies in COMBdroid. This paper documents the development process of COMBdroid, deriving design decisions from the literature review, detailing the design and implementation, and proving the program’s effectiveness through evaluation.
Źródło:: International Journal of Electronics and Telecommunications; 2015, 61, 4; 311-320
2300-1933
Pojawia się w:: International Journal of Electronics and Telecommunications
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Minimization of Energy and Service Latency Computation Offloading using Neural Network in 5G NOMA System
Autorzy:: Suprith, P. G.
Ahmed, Mohammed Riyaz
Powiązania:: https://bibliotekanauki.pl/articles/27311932.pdf
Data publikacji:: 2023
Wydawca:: Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:: Mobile edge computing
Deep Q Network Algorithm
latency optimized
computation offloading
5G
Opis:: The future Internet of Things (IoT) era is anticipated to support computation-intensive and time-critical applications using edge computing for mobile (MEC), which is regarded as promising technique. However, the transmitting uplink performance will be highly impacted by the hostile wireless channel, the low bandwidth, and the low transmission power of IoT devices. Using edge computing for mobile (MEC) to offload tasks becomes a crucial technology to reduce service latency for computation-intensive applications and reduce the computational workloads of mobile devices. Under the restrictions of computation latency and cloud computing capacity, our goal is to reduce the overall energy consumption of all users, including transmission energy and local computation energy. In this article, the Deep Q Network Algorithm (DQNA) to deal with the data rates with respect to the user base in different time slots of 5G NOMA network. The DQNA is optimized by considering more number of cell structures like 2, 4, 6 and 8. Therefore, the DQNA provides the optimal distribution of power among all 3 users in the 5G network, which gives the increased data rates. The existing various power distribution algorithms like frequent pattern (FP), weighted least squares mean error weighted least squares mean error (WLSME), and Random Power and Maximal Power allocation are used to justify the proposed DQNA technique. The proposed technique which gives 81.6% more the data rates when increased the cell structure to 8. Thus 25% more in comparison to other algorithms like FP, WLSME Random Power and Maximal Power allocation.
Źródło:: International Journal of Electronics and Telecommunications; 2023, 69, 4; 661--667
2300-1933
Pojawia się w:: International Journal of Electronics and Telecommunications
Dostawca treści:: Biblioteka Nauki

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