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一種違規(guī)APP的相似推薦模型
網(wǎng)絡(luò)安全與數(shù)據(jù)治理 6期
邱秀連,,姜 南,,陳 前,彭艷兵,,程 光
(南京烽火星空通信發(fā)展有限公司,,江蘇 南京210019)
摘要: 近年來(lái),,隨著手機(jī)和移動(dòng)互聯(lián)網(wǎng)的普及,APP市場(chǎng)蓬勃發(fā)展,,但也由于其廣泛性逐漸成為了違法犯罪的“重災(zāi)區(qū)”,,大量仿冒APP和賭博,、詐騙類APP對(duì)社會(huì)治安構(gòu)成極大的威脅。為了更加快速有效地識(shí)別仿冒APP,、賭博詐騙等違法APP,,從互聯(lián)網(wǎng)搜集了海量APP,基于圖像深度學(xué)習(xí)算法,、文本分析算法,、指標(biāo)評(píng)價(jià)算法提出了一種違規(guī)APP的相似推薦模型。該模型對(duì)APP圖標(biāo),、截圖,、名稱、服務(wù)器IP,、框架結(jié)構(gòu)和開(kāi)發(fā)者SHA1簽名6個(gè)維度進(jìn)行相似綜合評(píng)價(jià),,從30余萬(wàn)個(gè)APP中發(fā)現(xiàn)了5 197個(gè)APP存在相似,關(guān)聯(lián)出55 965個(gè)相似APP,,并基于異常APP庫(kù)推薦出8 233個(gè)異常APP,。
中圖分類號(hào): TP391.4
文獻(xiàn)標(biāo)識(shí)碼: A
DOI: 10.19358/j.issn.2097-1788.2022.06.010
引用格式: 邱秀連,姜南,,陳前,,等. 一種違規(guī)APP的相似推薦模型[J].網(wǎng)絡(luò)安全與數(shù)據(jù)治理,2022,,41(6):73-77.
Similar recommendation analysis of illegal APPs
Qiu Xiulian,,Jiang Nan,Chen Qian,,Peng Yanbing,,Cheng Guang
(Nanjing FiberHome Software Technology Co.,Ltd.,,Nanjing 210019,,China)
Abstract: In recent years, with the popularization of mobile phones and mobile Internet, the APP market has developed vigorously. However, due to its widespread nature, it has gradually become a “severe disaster area” for illegal crimes. A large number of counterfeit APPs, gambling and fraud APPs constitute a great impact on social security threat. In order to identify counterfeit APPs, gambling frauds and other illegal APPs more quickly and effectively, this paper collects a large number of APPs from Internet, and proposes a similar recommendation model for illegal APPs based on image deep learning algorithms, text analysis algorithms, and index evaluation algorithms. This model conducts similar comprehensive evaluation on the 6 dimensions of APP icon, screenshot, name, server IP, framework structure and developer SHA1 signature. From more than 300 000 APPs, 5 197 APPs are found to be similar, and 55 965 similar APPs are associated. Based on the abnormal APP library, 8 233 abnormal APPs are recommended.
Key words : APP similar;yolov4 algorithm,;entropy method,;deep learning

0 引言

根據(jù)中國(guó)互聯(lián)網(wǎng)信息中心發(fā)布的第47次《中國(guó)互聯(lián)網(wǎng)發(fā)展?fàn)顩r統(tǒng)計(jì)報(bào)告》顯示:截至2020年12月,我國(guó)網(wǎng)民規(guī)模已達(dá)9.89億,,手機(jī)網(wǎng)民規(guī)模達(dá)9.86億,,網(wǎng)民中使用手機(jī)上網(wǎng)的比例高達(dá)99.7%。移動(dòng)互聯(lián)網(wǎng)使用需求的激增帶動(dòng)了移動(dòng)互聯(lián)網(wǎng)APP的蓬勃發(fā)展,。僅Android官方的應(yīng)用商店Google Play就在2017年中新上架了近一百萬(wàn)個(gè)可供下載的應(yīng)用程序,。

APP在不斷發(fā)展的同時(shí)也帶來(lái)了新的安全隱患,依托APP進(jìn)行網(wǎng)絡(luò)詐騙,、賭博等違法案件數(shù)量不斷攀升,,其中通過(guò)仿冒,、重打包等技術(shù)手段產(chǎn)出的相似類APP由于其開(kāi)發(fā)成本低、速度快等特點(diǎn)已經(jīng)成為違法的“重災(zāi)區(qū)”,。阿里首席風(fēng)險(xiǎn)官劉振飛指出95%的熱門(mén)APP有被仿冒應(yīng)用的風(fēng)險(xiǎn),,360發(fā)布的《2018年雙十一購(gòu)物安全生態(tài)報(bào)告》顯示,一個(gè)月時(shí)間內(nèi)虛假仿冒主流購(gòu)物APP的數(shù)量接近4 000個(gè),,覆蓋設(shè)備超過(guò)30萬(wàn)個(gè),,高仿APP已形成危害用戶網(wǎng)絡(luò)安全的產(chǎn)業(yè)鏈。




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作者信息:

邱秀連,,姜  南,,陳  前,彭艷兵,,程  光 (南京烽火星空通信發(fā)展有限公司,,江蘇 南京210019)

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