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android

电脑迷 2012年第9期 92-92页

有问题,找小编,遇到问题请直接发送到电子邮箱tiwen@***,我们将选取具有代表性的问题在杂志上为您解答。如何把手机中的应用程序迁移到SD卡中我用的是安卓手机,最近新购了一个大容量的SD卡,请教一下,如何把此前安装在手机中的应用程序... 详细信息

有问题,找小编,遇到问题请直接发送到电子邮箱tiwen@***,我们将选取具有代表性的问题在杂志上为您解答。如何把手机中的应用程序迁移到SD卡中我用的是安卓手机,最近新购了一个大容量的SD卡,请教一下,如何把此前安装在手机中的应用程序迁移到SD卡?

关键词： IMEI 应用程序应用软件手机 android WCDMA

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android

电脑迷 2012年第15期 92-92页

有问题,找小编,遇到问题请直接发送到电子邮箱tiwen@***,我们将选取具有代表性的问题在杂志上为您解答。用离线数据节省流量Q在朋友的推荐下,安装了网易新闻这个应用,每天都能收到大量即时的新闻用以打发时间、了解各种民生动态,并且它... 详细信息

有问题,找小编,遇到问题请直接发送到电子邮箱tiwen@***,我们将选取具有代表性的问题在杂志上为您解答。用离线数据节省流量Q在朋友的推荐下,安装了网易新闻这个应用,每天都能收到大量即时的新闻用以打发时间、了解各种民生动态,并且它们图文并茂,体验确实不错。但是由于我不常在办公室,不可能一直使用WiFi,所以每个月一到月底,流量就有点捉襟见肘实在是不够用,该怎么节省流量呢?

关键词：分类词库点击 ROOT 手机插件桌面刷机 android 离线数据

基于多模态特征融合的android恶意程序检测方法研究

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电子技术应用 2025年第1期51卷 62-68页

作者：葛继科何明坤陈祖琴凌劲张一帆重庆科技大学计算机科学与工程学院重庆401331

现有android恶意程序检测方法主要使用单模态数据来表征程序特征,未能将不同的特征信息进行充分挖掘和融合,导致检测效果不够理想。为了提升检测的准确率和鲁棒性,提出一种基于多模态特征融合的android恶意程序检测方法。首先对权限信... 详细信息

现有android恶意程序检测方法主要使用单模态数据来表征程序特征,未能将不同的特征信息进行充分挖掘和融合,导致检测效果不够理想。为了提升检测的准确率和鲁棒性,提出一种基于多模态特征融合的android恶意程序检测方法。首先对权限信息进行编码处理并将Dalvik字节码数据可视化为“矢量”RGB图像,然后构建前馈神经网络和卷积神经网络分别对文本和图像模态表征的数据进行特征提取,最后对提取的不同模态特征向量分配不同的权重并相加进行融合后对其进行分类。实验结果表明,该方法对android恶意程序的识别准确率和F1分数都达到了98.66%,且具有良好的鲁棒性。

关键词： android 恶意程序多模态前馈神经网络卷积神经网络

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基于android智能课程表的设计与实现

计算机科学与应用 2025年第1期15卷 146-155页

作者：李悦孟祥娟新疆医科大学医学工程技术学院新疆乌鲁木齐

针对当前大学生在课程表管理上的迫切需求,设计并开发了一款基于android平台的智能课程表管理系统,该系统不仅全面实现了课程表的基础管理功能,还特别设置了学期课表与周课表两种展示模式,以满足不同学生的学习习惯与查看需求。在此基础... 详细信息

针对当前大学生在课程表管理上的迫切需求,设计并开发了一款基于android平台的智能课程表管理系统,该系统不仅全面实现了课程表的基础管理功能,还特别设置了学期课表与周课表两种展示模式,以满足不同学生的学习习惯与查看需求。在此基础上,创新性地加入了消息提醒功能,允许学生灵活地自定义提醒方式。采用SQLite数据库进行本地数据存储,经过模拟器和手机测试,系统各项功能运行稳定可靠,具有较强的方便性、实用性和可靠性。此智能课程表管理系统它不仅解决了传统课程管理方式中存在的信息更新不及时、提醒功能不足等问题,还通过高度定制化的提醒设置,有效促进了学生的自我管理与时间规划能力,为学生提供了一个更加智能化、个性化的学习辅助工具,对于提升大学生上课学习效率、优化学习体验具有重要意义,为高校教育信息化建设贡献了新的思路与实践案例。In view of the urgent needs of college students in the management of the curriculum, an intelligent curriculum management system based on the android platform was designed and developed, which not only fully realized the basic management function of the curriculum, but also set up two display modes of semester timetable and weekly timetable to meet the learning habits and viewing needs of different students. On top of that, the message reminder function is innovatively added, allowing students to flexibly customize the reminder method. The SQLite database is used for local data storage, and after the simulator and mobile phone test, the functions of the system run stably and reliably, with strong convenience, practicability and reliability. This intelligent curriculum management system not only solves the problems of untimely information update and insufficient reminder function in the traditional course management method, but also effectively promotes students’ self-management and time planning ability through highly customized reminder settings, providing students with a more intelligent and personalized learning aid. It is of great significance for improving the learning efficiency of college students and optimizing the learning experience, and contributes new ideas and practical cases to the construction of college education informatization.

关键词：智能课程表 android SQLite 课程管理

基于android的学生校园系统的研究与实现

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电脑知识与技术 2025年第1期21卷 51-53页

作者：王培刚湖北交通职业技术学院湖北武汉430202

随着移动通信技术进入5G时代,以及高校学生需求的日益多样化,用于智慧校园的学生校园系统变得越来越复杂。高校师生日常最为关注的是学习、教学以及学校相关的各类信息。基于此,文章整合校园中教学及生活的常见功能,设计并开发了一个基... 详细信息

随着移动通信技术进入5G时代,以及高校学生需求的日益多样化,用于智慧校园的学生校园系统变得越来越复杂。高校师生日常最为关注的是学习、教学以及学校相关的各类信息。基于此,文章整合校园中教学及生活的常见功能,设计并开发了一个基于android的学生校园系统,以便利本校学生的校园日常生活。

关键词： android 校园系统校园App 数字化校园

android Malware Detection Method Based on Permission Complement and API Calls

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Chinese Journal of Electronics 2022年第4期31卷 773-785页

作者： YANG Jiyun TANG Jiang YAN Ran XIANG Tao College of Computer Science Chongqing University

The dynamic code loading mechanism of the android system allows an application to load executable files externally at runtime. This mechanism makes the development of applications more convenient, but it also brings security issues. Applications that hide malicious behavior in the external file by dynamic code loading are becoming a new challenge for android malware detection. To overcome this challenge, based on dynamic code loading mechanisms, three types of threat models,i.e. Model I, Model II, and Model III are defined. For the Model I type malware, its malicious behavior occurs in Dex Code, so the application programming interface(API)classes were used to characterize the behavior of the DexCode file. For the Model II type and Model III type malwares whose malicious behaviors occur in an external file,the permission complement is defined to characterize the behaviors of the external file. Based on permission complement and API calls, an android malicious application detection method is proposed, of which feature sets are constructed by improving a feature selection method. Five datasets containing 15,581 samples are used to evaluate the performance of the proposed method. The experimental results show that our detection method achieves accuracy of 99.885% on general dataset, and performes the best on all evaluation metrics on all datasets in all comparison methods.

关键词： android Malware detection Dynamic code loading Permission complement

DelayD roid: an instrumented approach to reducing tail-time energy of android apps

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Science China(Information Sciences) 2017年第1期60卷 84-99页

作者： Gang HUANG Huaqian CAI Maciej SWIECH Ying ZHANG Xuanzhe LIU Peter DINDA School of Electronics Engineering and Computer Science Peking University Department of Electrical Engineering and Computer Science Northwestern University

Mobile devices with 3G/4G networking often waste energy in the so-called "tail time" during which the radio is kept on even though no communication is occurring. Prior work has proposed policies to reduce this energy waste by batching network requests. However, this work is challenging to apply in practice due to a lack of mechanisms. In response, we have developed DelayD roid, a framework that allows a developer to add the needed policy to existing, unmodified android applications(apps) with no human effort as well as no SDK/OS changes. This allows such prior work(as well as our own policies) to be readily deployed and evaluated. The DelayD roid compile-time uses static analysis and bytecode refactoring to identify method calls that send network requests and modify such calls to detour them to the DelayD roid run-time. The run-time then applies a policy to batch them, avoiding the tail time energy waste. DelayD roid also includes a cross-app communication mechanism that supports policies that optimize across multiple apps running together, and we propose a policy that does so. We evaluated the correctness and universality of the DelayD roid mechanisms on14 popular android apps chosen from the Google App Store. To evaluate our proposed policy, we studied three DelayD roid-enabled apps(weather forecasting, email client, and news client) running together, finding that the DelayD roid mechanisms combined with our policy can reduce 3G/4G tail time energy waste by 36%.

关键词： refactor android optimization energy network scheduling

VenomAttack: automated and adaptive activity hijacking in android

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Frontiers of Computer Science 2023年第1期17卷 187-204页

作者： Pu SUN Sen CHEN Lingling FAN Pengfei GAO Fu SONG Min YANG School of Information Science and Technology ShanghaiTech UniversityShanghai 201210China Shanghai Institute of Microsystem and Information Technology Chinese Academy of SciencesShanghai 200050China University of Chinese Academy of Sciences Beijing 100049China College of Intelligence and Computing Tianjin UniversityTianjin 300350China College of Cyber Science Nankai UniversityTianjin 300350China School of Computer Science Fudan UniversityShanghai 200438China

Activity hijacking is one of the most powerful attacks in android. Though promising, all the prior activity hijacking attacks suffer from some limitations and have limited attack capabilities. They no longer pose security threats in recent android due to the presence of effective defense mechanisms. In this work, we propose the first automated and adaptive activity hijacking attack, named VenomAttack, enabling a spectrum of customized attacks (e.g., phishing, spoofing, and DoS) on a large scale in recent android, even the state-of-the-art defense mechanisms are deployed. Specifically, we propose to use hotpatch techniques to identify vulnerable devices and update attack payload without re-installation and re-distribution, hence bypassing offline detection. We present a newly-discovered flaw in android and a bug in derivatives of android, each of which allows us to check if a target app is running in the background or not, by which we can determine the right attack timing via a designed transparent activity. We also propose an automated fake activity generation approach, allowing large-scale attacks. Requiring only the common permission INTERNET, we can hijack activities at the right timing without destroying the GUI integrity of the foreground app. We conduct proof-of-concept attacks, showing that VenomAttack poses severe security risks on recent android versions. The user study demonstrates the effectiveness of VenomAttack in real-world scenarios, achieving a high success rate (95%) without users’ awareness. That would call more attention to the stakeholders like Google.

关键词： android activity hijacking android security mobile security

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Communication-Based Attacks Detection in android Applications

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Tsinghua Science and Technology 2019年第5期24卷 596-614页

作者： Chuan Ma Tao Wang Limin Shen Dongkui Liang Shuping Chen Dianlong You School of In formation Science and Engineering Yanshan University the Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Qinhuangdao 066004 China School of Business Ad mi nisliatiom Hebei Normal University of Science and Technology. Qinhuangdao 066004 China Library of Yanshan University. Yanshan University Qinhuangdao 066004 China

The android operating system provides a rich Inter-Component Communication(ICC) method that brings enormous convenience. However, the android ICC also increases security risks. To address this problem, a formal method is proposed to model and detect inter-component communication behavior in android applications. Firstly,we generate data flow graphs and data facts for each component through component-level data flow ***, our approach treats ICC just like method calls. After analyzing the fields and data dependencies of the intent, we identify the ICC caller and callee, track the data flow between them, and construct the ICC model. Thirdly,the behavior model of android applications is constructed by a formal mapping method for component data flow graph based on Pi calculus. The runtime sensitive path trigger detection algorithm is then given. Communicationbased attacks are detected by analyzing intent abnormity. Finally, we analyze the modeling and detection efficiency,and compare it with relevant methods. Analysis of 57 real-world applications partly verifies the effectiveness of the proposed method.

关键词： android inter-component communication intents component hijacking attack detection