ISSN2456-3315
Impact Factor10.57
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CrossRefDOI
ESTD2016
Peer ReviewTransparent
AccessOpen
Submission: Always Open
Paper Title
Permission and Header Based Android Application
Authors
Jayshree Alhate , Roshni Makhija , Rajashri Mahajan
Keywords
Android Malware Detection; Deep Learning, Deep Refiner.
Abstract
We propose a novel android malware detection system that uses a deep convolutional neural network Malware classification is performed based on static analysis of the raw opcode sequence from a disassembled program. To solve these challenges, we propose system to identify malware both efficiently and effectively. The novel technique enabling effectiveness is the Semantic-based deep learning. We use Long Short Term Memory on the semantic structure of Android bytecode, avoiding missing the details of method-level bytecode semantics. To achieve efficiency, we apply Multilayer Perceptron on the xml files based on the finding that most malware can be efficiently identified using information only from xml files.
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How To Cite
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IJRTI — journal style
"Permission and Header Based Android Application", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.6, Issue 6, page no.101 - 106, June-2021, Available :https://ijrti.org/papers/IJRTI2106019.pdf
APA — 7th edition
Alhate, J., Makhija, R., & Mahajan, R. (2021). Permission and Header Based Android Application. International Journal for Research Trends and Innovation, 6(6), 101 - 106. https://ijrti.org/viewpaperforall.php?paper=IJRTI2106019
MLA — 9th edition
Alhate, Jayshree, et al. "Permission and Header Based Android Application." International Journal for Research Trends and Innovation, vol. 6, no. 6, 2021, pp. 101 - 106, https://ijrti.org/viewpaperforall.php?paper=IJRTI2106019.
Chicago — 17th, bibliography
Alhate, Jayshree, Roshni Makhija, and Rajashri Mahajan. "Permission and Header Based Android Application." International Journal for Research Trends and Innovation 6, no. 6 (2021): 101 - 106. https://ijrti.org/viewpaperforall.php?paper=IJRTI2106019.
Harvard — author–date
Alhate, J., Makhija, R. and Mahajan, R. (2021) 'Permission and Header Based Android Application', International Journal for Research Trends and Innovation, 6(6), pp. 101 - 106. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI2106019
IEEE — numbered reference
J. Alhate, R. Makhija and R. Mahajan, "Permission and Header Based Android Application," IJRTI, vol. 6, no. 6, pp. 101 - 106, Jun. 2021.
Vancouver — biomedical
Alhate J, Makhija R, Mahajan R. Permission and Header Based Android Application. IJRTI. 2021 Jun;6(6):101 - 106.
AMA — 11th edition
Alhate J, Makhija R, Mahajan R. Permission and Header Based Android Application. IJRTI. 2021;6(6):101 - 106. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI2106019
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI2106019,
author = {Jayshree Alhate and Roshni Makhija and Rajashri Mahajan},
title = {Permission and Header Based Android Application},
journal = {International Journal for Research Trends and Innovation},
volume = {6},
number = {6},
pages = {101 - 106},
year = {2021},
month = {June},
issn = {2456-3315},
url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI2106019}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Alhate, Jayshree
AU - Makhija, Roshni
AU - Mahajan, Rajashri
TI - Permission and Header Based Android Application
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 6
IS - 6
PY - 2021
SN - 2456-3315
UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI2106019
SP - 101
EP - 106
ER -
Issue
Volume 6 Issue 6,
June-2021
Pages : 101 - 106
Other Publication Details
Paper Reg. ID
IJRTI_181565
Published Paper ID
IJRTI2106019
Downloads
205,644
Research Area
Engineering
Country
-, -, -
Published
June 2021
Published Paper PDF
https://ijrti.org/papers/IJRTI2106019.pdf
Published Paper URL
https://ijrti.org/viewpaperforall.php?paper=IJRTI2106019
About Publisher
International Journal for Research Trends and Innovation
Published by IJRTI (JW Publication)
2456-3315
ISSN
10.57
Impact Factor
2016
ESTD Year
Open
Access
Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
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Declarations
Funding
No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
