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aamo icon aamo

AAMO: Another Android Malware Obfuscator

alda_mobile_money_transaction_fraud_detection icon alda_mobile_money_transaction_fraud_detection

Detecting a fraudulent mobile money transaction is the focus of our work. As mobile transactions continue to increase, online fraud detection continues to become a bigger issue. Although fraud via smartphones is increasing at a faster pace than general PC/laptop based fraud, smartphones have the potential to become as secure a channel as the web through the use of advanced encryption and authentication technologies. By paying close attention to red flags and suspicious activities, you can avoid merchant services fraud. According to the 2018 Global fraud report, it is evident that out of the digital market place consumers 91% of customers use smartphone out of which 88% use for personal banking and it has been noted that 72% cite fraud as a growing concern over the past twelve months and 63% report higher level of fraudulent losses over that same period. One such activity is cited in the rise of Synthetic identities. Synthetic identities come from accounts not held by actual individuals, but by fabricated identities created to perpetuate fraud. These identities are created by combining the credentials and information of a mixed set of individuals to create a completely new ID. Criminals use this kind of technique to commit frauds in the area of healthcare, utility services and taxes. The research in the area of combatting such kind of frauds, motivates us to find a robust system to detect fraudulent transactions. Smartphones have been an easy target for fraudsters as it lacks the security level that other mobile devices have. Fraudsters know that it is generally easier to take over an account by phishing, spear phishing (targeting an individual) or Smishing (phishing via a mobile device), than to open a new account using a real or ‘synthetic’ identity, which is why the risk of account takeover is one of the most alarming trends in fraud.

androguard icon androguard

Reverse engineering, Malware and goodware analysis of Android applications ... and more (ninja !)

android-architecture icon android-architecture

A collection of samples to discuss and showcase different architectural tools and patterns for Android apps.

androidmarytts-client icon androidmarytts-client

Android TTS client application based on MaryTTS, using gradle and maven repository centers.

androidphotofilters icon androidphotofilters

AndroidPhotoFilters aims to provide fast, powerful and flexible image processing instrument for creating awesome effects on any image media.

androidresidemenu icon androidresidemenu

The idea of ResideMenu is from Dribbble 1 and 2. It has come true and run in iOS devices. iOS ResideMenu This project is the RefsideMenu Android version. The visual effect is partly referred to iOS version of ResideMenu. And thanks to the authors for the above idea and contribution.

anti-bank-transaction-fraud-data-analysis-machine-learning icon anti-bank-transaction-fraud-data-analysis-machine-learning

Based on 574256 Transaction lines to detect the Fraud Transaction automatically 。银行支付反欺诈模型 基于574256条真实交易记录通过数据分析构建有效的特征并用随机森林达到 0.9 roc auc 值。数据集在压缩包中 两年前做的一个toy小项目 今天更新上来

anti_android icon anti_android

Is a protect Android App anti any attacks and environments.

apkid icon apkid

Android Application Identifier for Packers, Protectors, Obfuscators and Oddities

ason icon ason

JSON in Java made easy! Catch less exceptions, serialize/deserialize with ease, plus some other useful tricks and conveniences!

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