Results 11 to 20 of about 9,213 (205)

Adaptive secure malware efficient machine learning algorithm for healthcare data

open access: yesCAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Malware software now encrypts the data of Internet of Things (IoT) enabled fog nodes, preventing the victim from accessing it unless they pay a ransom to the attacker. The ransom injunction is constantly accompanied by a deadline. These days, ransomware attacks are too common on IoT healthcare devices.
Mazin Abed Mohammed   +8 more
wiley   +1 more source

Survey on Security of Android SDKs [PDF]

open access: yesJisuanji kexue
Android SDK is a software toolkit used for Android application development.Since a single Android SDK can be integrated into multiple applications,its security implications for the installation ecosystem are chain-like,exposing the Android ecosystem to ...
XU Teng, LIU Luyao, JIANG Haoyu, LUO Chang, LI Heng, YUAN Wei
doaj   +1 more source

A Comprehensive Analysis of the Android Permissions System

open access: yesIEEE Access, 2020
Android is one of the most essential and highly used operating systems. Android permissions system is a core security component that offers an access-control mechanism to protect system resources and users’ privacy.
Iman M. Almomani, Aala Al Khayer
doaj   +1 more source

DroidPortrait: Android Malware Portrait Construction Based on Multidimensional Behavior Analysis

open access: yesApplied Sciences, 2020
Recently, security incidents such as sensitive data leakage and video/audio hardware control caused by Android malware have raised severe security issues that threaten Android users, so thus behavior analysis and detection research researches of ...
Xin Su   +5 more
doaj   +1 more source

Security Architecture for a Secure Database on Android

open access: yesIEEE Access, 2018
As mobile devices are increasingly used in various daily activities, they have become a movable storage that stores various personal/business information of users. Most mobile OSes, including Android, store personal data in databases and provide APIs for apps, which can be used to access a database managed by the system or to manage its own database ...
Jin Hyung Park   +3 more
openaire   +2 more sources

Precision planter monitoring system based on mobile communication network

open access: yesIET Networks, EarlyView., 2022
Abstract Sowing is an important link in agricultural production and the basis for ensuring high yields and bumper harvests. Agriculture requires precision plows with good performance and stable work. However, the seeding process is in a completely closed state, and the operator relies mainly on experience to judge the operating state and performance of
Bing Li, Jiyun Li
wiley   +1 more source

Design and implementation of geographic information system with mobile terminal and 5G network

open access: yesIET Networks, EarlyView., 2022
Abstract Remote insurance mainly completes quotation, insurance application and payment through the PC terminal and mobile terminal, and the premium directly enters the insurance account. This article takes remote insurance as an example. First, it analyses the requirements of the remote insurance and insurance system, and then collects data from the ...
Huijun Xiao, Tangsen Huang, Ensong Jiang
wiley   +1 more source

Formal Analysis of Language-Based Android Security Using Theorem Proving Approach

open access: yesIEEE Access, 2019
Mobile devices are an indispensable part of modern-day lives to support portable computations and context-aware communication. Android applications within a mobile device share data to support application operations and better user experience, which also
Wilayat Khan   +4 more
doaj   +1 more source

Features requirement elicitation process for designing a chatbot application

open access: yesIET Networks, EarlyView., 2022
This article seeks to assist the chatbot community by outlining the characteristics that a chatbot needs to possess and explaining how to create a chatbot for a bank. In order to determine which capabilities are most crucial to ending users, a study of a small sample of chatbot users was conducted.
Nurul Muizzah Johari   +4 more
wiley   +1 more source

Predicting the Impact of Android Malicious Samples via Machine Learning

open access: yesIEEE Access, 2019
Recently, Android malicious samples threaten billions of mobile end users' security or privacy. The community researchers have designed many methods to automatically and accurately identify Android malware samples.
Junyang Qiu   +5 more
doaj   +1 more source

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