Root exploit detection and features optimization: Mobile device and blockchain based medical data management

The increasing demand for Android mobile devices and blockchain has motivated malware creators to develop mobile malware to compromise the blockchain. Although the blockchain is secure, attackers have managed to gain access into the blockchain as legal users, thereby comprising important and crucial...

Full description

Bibliographic Details
Main Authors:	Ahmad Firdaus, Zainal Abidin, Nor Badrul, Anuar, Mohd Faizal, Ab Razak, Targio Hashem, Ibrahim Abaker, Syafiq, Bachok, Sangaiah, Arun Kumar
Format:	Article
Language:	English
Published:	Springer New York 2018
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/23001/ http://umpir.ump.edu.my/id/eprint/23001/ http://umpir.ump.edu.my/id/eprint/23001/ http://umpir.ump.edu.my/id/eprint/23001/1/Root%20exploit%20detection%20and%20features%20optimization-%20Mobile%20device%20and%20blockchain%20based%20medical%20data%20management.pdf

id	ump-23001
recordtype	eprints
spelling	ump-230012018-12-03T08:43:57Z http://umpir.ump.edu.my/id/eprint/23001/ Root exploit detection and features optimization: Mobile device and blockchain based medical data management Ahmad Firdaus, Zainal Abidin Nor Badrul, Anuar Mohd Faizal, Ab Razak Targio Hashem, Ibrahim Abaker Syafiq, Bachok Sangaiah, Arun Kumar QA76 Computer software The increasing demand for Android mobile devices and blockchain has motivated malware creators to develop mobile malware to compromise the blockchain. Although the blockchain is secure, attackers have managed to gain access into the blockchain as legal users, thereby comprising important and crucial information. Examples of mobile malware include root exploit, botnets, and Trojans and root exploit is one of the most dangerous malware. It compromises the operating system kernel in order to gain root privileges which are then used by attackers to bypass the security mechanisms, to gain complete control of the operating system, to install other possible types of malware to the devices, and finally, to steal victims’ private keys linked to the blockchain. For the purpose of maximizing the security of the blockchain-based medical data management (BMDM), it is crucial to investigate the novel features and approaches contained in root exploit malware. This study proposes to use the bio-inspired method of practical swarm optimization (PSO) which automatically select the exclusive features that contain the novel android debug bridge (ADB). This study also adopts boosting (adaboost, realadaboost, logitboost, and multiboost) to enhance the machine learning prediction that detects unknown root exploit, and scrutinized three categories of features including (1) system command, (2) directory path and (3) code-based. The evaluation gathered from this study suggests a marked accuracy value of 93% with Logitboost in the simulation. Logitboost also helped to predicted all the root exploit samples in our developed system, the root exploit detection system (RODS). Springer New York 2018 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/23001/1/Root%20exploit%20detection%20and%20features%20optimization-%20Mobile%20device%20and%20blockchain%20based%20medical%20data%20management.pdf Ahmad Firdaus, Zainal Abidin and Nor Badrul, Anuar and Mohd Faizal, Ab Razak and Targio Hashem, Ibrahim Abaker and Syafiq, Bachok and Sangaiah, Arun Kumar (2018) Root exploit detection and features optimization: Mobile device and blockchain based medical data management. Journal of Medical Systems, 42 (6). pp. 1-23. ISSN 0148-5598 https://link.springer.com/article/10.1007/s10916-018-0966-x DOI: 10.1007/s10916-018-0966-x
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Ahmad Firdaus, Zainal Abidin Nor Badrul, Anuar Mohd Faizal, Ab Razak Targio Hashem, Ibrahim Abaker Syafiq, Bachok Sangaiah, Arun Kumar Root exploit detection and features optimization: Mobile device and blockchain based medical data management
description	The increasing demand for Android mobile devices and blockchain has motivated malware creators to develop mobile malware to compromise the blockchain. Although the blockchain is secure, attackers have managed to gain access into the blockchain as legal users, thereby comprising important and crucial information. Examples of mobile malware include root exploit, botnets, and Trojans and root exploit is one of the most dangerous malware. It compromises the operating system kernel in order to gain root privileges which are then used by attackers to bypass the security mechanisms, to gain complete control of the operating system, to install other possible types of malware to the devices, and finally, to steal victims’ private keys linked to the blockchain. For the purpose of maximizing the security of the blockchain-based medical data management (BMDM), it is crucial to investigate the novel features and approaches contained in root exploit malware. This study proposes to use the bio-inspired method of practical swarm optimization (PSO) which automatically select the exclusive features that contain the novel android debug bridge (ADB). This study also adopts boosting (adaboost, realadaboost, logitboost, and multiboost) to enhance the machine learning prediction that detects unknown root exploit, and scrutinized three categories of features including (1) system command, (2) directory path and (3) code-based. The evaluation gathered from this study suggests a marked accuracy value of 93% with Logitboost in the simulation. Logitboost also helped to predicted all the root exploit samples in our developed system, the root exploit detection system (RODS).
format	Article
author	Ahmad Firdaus, Zainal Abidin Nor Badrul, Anuar Mohd Faizal, Ab Razak Targio Hashem, Ibrahim Abaker Syafiq, Bachok Sangaiah, Arun Kumar
author_facet	Ahmad Firdaus, Zainal Abidin Nor Badrul, Anuar Mohd Faizal, Ab Razak Targio Hashem, Ibrahim Abaker Syafiq, Bachok Sangaiah, Arun Kumar
author_sort	Ahmad Firdaus, Zainal Abidin
title	Root exploit detection and features optimization: Mobile device and blockchain based medical data management
title_short	Root exploit detection and features optimization: Mobile device and blockchain based medical data management
title_full	Root exploit detection and features optimization: Mobile device and blockchain based medical data management
title_fullStr	Root exploit detection and features optimization: Mobile device and blockchain based medical data management
title_full_unstemmed	Root exploit detection and features optimization: Mobile device and blockchain based medical data management
title_sort	root exploit detection and features optimization: mobile device and blockchain based medical data management
publisher	Springer New York
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/23001/ http://umpir.ump.edu.my/id/eprint/23001/ http://umpir.ump.edu.my/id/eprint/23001/ http://umpir.ump.edu.my/id/eprint/23001/1/Root%20exploit%20detection%20and%20features%20optimization-%20Mobile%20device%20and%20blockchain%20based%20medical%20data%20management.pdf
first_indexed	2023-09-18T22:34:16Z
last_indexed	2023-09-18T22:34:16Z
_version_	1777416490890297344

Root exploit detection and features optimization: Mobile device and blockchain based medical data management

Similar Items