title: ÐÐ±ÐµÑÐ¿ÐµÑÐµÐ½Ð¸Ðµ Ð±ÐµÐ·Ð¾Ð¿Ð°ÑÐ½Ð¾ÑÑÐ¸ Ð¼Ð¾Ð±Ð¸Ð»ÑÐ½ÑÑ ÑÑÑÑÐ¾Ð¹ÑÑÐ² Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð³Ð»ÑÐ±Ð¾ÐºÐ¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð¸ Ð°Ð¿Ð¿Ð°ÑÐ°ÑÐ½Ð¾Ð¹ Ð¿Ð¾Ð´Ð´ÐµÑÐ¶ÐºÐ¸ Ð¸ÑÐºÑÑÑÑÐ²ÐµÐ½Ð½Ð¾Ð³Ð¾ Ð¸Ð½ÑÐµÐ»Ð»ÐµÐºÑÐ°
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Securing mobile devices based on deep learning and hardware support for artificial intelligence
Creators: name: ÐÑÑÐ°ÑÐ¾Ð², Ð¡Ð¸Ð¼Ð°Ñ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2020
Subjects: Ð³Ð»ÑÐ±Ð¾ÐºÐ¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
ÑÐ²ÑÑÑÐ¾ÑÐ½Ð°Ñ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð°Ñ ÑÐµÑÑ
Ð´Ð¾Ð»Ð³Ð°Ñ ÐºÑÐ°ÑÐºÐ¾ÑÑÐ¾ÑÐ½Ð°Ñ Ð¿Ð°Ð¼ÑÑÑ
Huawei hisilicon kirin 970
Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐ¹ Ð¿ÑÐ¾ÑÐµÑÑÐ¾Ñ
android
api Ð²ÑÐ·Ð¾Ð²Ñ
tensor flow lite
ÑÑÐµÐ´ÑÑÐ²Ð° Ð¾Ð±ÐµÑÐ¿ÐµÑÐµÐ½Ð¸Ñ Ð±ÐµÐ·Ð¾Ð¿Ð°ÑÐ½Ð¾ÑÑÐ¸ Ð¼Ð¾Ð±Ð¸Ð»ÑÐ½ÑÑ Ð¿Ð»Ð°ÑÑÐ¾ÑÐ¼
deep learning
convolutional neural network
long short-term memory
huawei hisilicon kirin 970
neural processing unit
api calls
means to ensure the safety of mobile platforms

description: Ð Ð´Ð°Ð½Ð½Ð¾Ð¹ Ð²ÑÐ¿ÑÑÐºÐ½Ð¾Ð¹ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÐµ Ð¿ÑÐµÐ´ÑÑÐ°Ð²Ð»ÐµÐ½Ð¾ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð²Ð»Ð¸ÑÐ½Ð¸Ñ Ð°Ð¿Ð¿Ð°ÑÐ°ÑÐ½Ð¾Ð¹ Ð¿Ð¾Ð´Ð´ÐµÑÐ¶ÐºÐ¸ Ð¸ÑÐºÑÑÑÑÐ²ÐµÐ½Ð½Ð¾Ð³Ð¾ Ð¸Ð½ÑÐµÐ»Ð»ÐµÐºÑÐ° Ð½Ð° ÑÐ°Ð±Ð¾ÑÑ Ð°Ð½ÑÐ¸Ð²Ð¸ÑÑÑÐ½Ð¾Ð³Ð¾ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÐµÑÐ¿ÐµÑÐµÐ½Ð¸Ñ Ð½Ð° Ð¾Ð¿ÐµÑÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ðµ Android. ÐÑÑÑÐµÑÑÐ²Ð»ÑÐ½ Ð°Ð½Ð°Ð»Ð¸Ð· Ð²Ð¾Ð·Ð¼Ð¾Ð¶Ð½Ð¾ÑÑÐµÐ¹ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð³Ð¾ Ð¿ÑÐ¾ÑÐµÑÑÐ¾ÑÐ° Ð¿Ð»Ð°ÑÑÐ¾ÑÐ¼Ñ Huawei HiSilicon Kirin 970 Ð¸ ÑÐ´ÐµÐ»Ð°Ð½ Ð¾Ð¿ÑÐ¸Ð¼Ð°Ð»ÑÐ½ÑÐ¹ Ð²ÑÐ±Ð¾Ñ Ð¼Ð¾Ð´ÐµÐ»ÐµÐ¹ Ð¸ÑÐºÑÑÑÑÐ²ÐµÐ½Ð½ÑÑ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹. ÐÑÐ¸Ð²ÐµÐ´ÑÐ½ Ð¾Ð±Ð·Ð¾Ñ Ð°Ð½ÑÐ¸Ð²Ð¸ÑÑÑÐ½ÑÑ ÑÑÐµÐ´ÑÑÐ², Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÑÑÐ¸Ñ Ð³Ð»ÑÐ±Ð¾ÐºÐ¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ Ð¸ Ð² ÑÐ¾Ð¹ Ð¸Ð»Ð¸ Ð¸Ð½Ð¾Ð¹ ÑÑÐµÐ¿ÐµÐ½Ð¸ Ð´Ð¾ÑÑÑÐ¿Ð½Ð¾Ð¹ Ð´Ð»Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ñ Ð½Ð° Ð¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÐµÐ»ÑÑÐºÐ¸Ñ ÑÑÑÑÐ¾Ð¹ÑÑÐ²Ð°Ñ. ÐÐ° ÑÐ·ÑÐºÐµ Java ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð¾ Ð¿ÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸Ðµ, Ð² Ð¾ÑÐ½Ð¾Ð²Ðµ ÐºÐ¾ÑÐ¾ÑÐ¾Ð³Ð¾ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð»Ð¸ÑÑ Ð³Ð¾ÑÐ¾Ð²Ð°Ñ Ð¼Ð¾Ð´ÐµÐ»Ð¸ ÑÐ²ÑÑÑÐ¾ÑÐ½Ð¾Ð¹ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸ Ð¸ Ð´Ð¾Ð»Ð³Ð¾Ð¹ ÐºÑÐ°ÑÐºÐ¾ÑÑÐ¾ÑÐ½Ð¾Ð¹ Ð¿Ð°Ð¼ÑÑÐ¸. ÐÐ·Ð°Ð¸Ð¼Ð¾Ð´ÐµÐ¹ÑÑÐ²Ð¸Ðµ Ñ Ð°Ð¿Ð¿Ð°ÑÐ°ÑÐ½ÑÐ¼Ð¸ ÑÐµÑÑÑÑÐ°Ð¼Ð¸, Ð° ÑÐ°ÐºÐ¶Ðµ Ð¿ÐµÑÐµÐ½Ð¾Ñ Ð¾Ð±ÑÑÐµÐ½Ð½ÑÑ Ð¼Ð¾Ð´ÐµÐ»ÐµÐ¹ Ð½Ð° Ð¼Ð¾Ð±Ð¸Ð»ÑÐ½ÑÑ Ð¿Ð»Ð°ÑÑÐ¾ÑÐ¼Ñ Ñ ÑÐ¾ÑÑÐ°Ð½ÐµÐ½Ð¸ÐµÐ¼ ÑÑÐ½ÐºÑÐ¸Ð¾Ð½Ð°Ð»Ð° Ð¾ÑÑÑÐµÑÑÐ²Ð»ÐµÐ½Ð¾ Ð±Ð»Ð°Ð³Ð¾Ð´Ð°ÑÑ ÑÑÐµÐ´ÑÑÐ²Ð°Ð¼ TensorFlow Lite. ÐÐ¾Ð´ÐµÐ»Ð¸ Ð¿Ð¾Ð´Ð²ÐµÑÐ³Ð»Ð¸ÑÑ Ð³Ð»ÑÐ±Ð¾ÐºÐ¾Ð¼Ñ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ ÑÑÐ°ÑÐ¸Ð¾Ð½Ð°ÑÐ½Ð¾Ð³Ð¾ Ð³ÑÐ°ÑÐ¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð¿ÑÐ¾ÑÐµÑÑÐ¾ÑÐ° ÐºÐ°Ðº Ð½Ð° Ð±ÐµÐ·Ð¾Ð¿Ð°ÑÐ½ÑÑ APK ÑÐ°Ð¹Ð»Ð°Ñ, ÑÐ°Ðº Ð¸ Ð½Ð° ÑÐ°Ð¹Ð»Ð°Ñ Ñ Ð²ÑÐµÐ´Ð¾Ð½Ð¾ÑÐ½ÑÐ¼ ÑÐ¾Ð´ÐµÑÐ¶Ð¸Ð¼ÑÐ¼. ÐÐ¾Ð½ÑÑÐ¾Ð»ÑÐ½ÑÐµ ÑÐ¾ÑÐºÐ¸ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ ÐºÐ¾Ð½Ð²ÐµÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ñ Ð² Ð½ÐµÐ¾Ð±ÑÐ¾Ð´Ð¸Ð¼ÑÐ¹ Ð²Ð¸Ð´ Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ ÑÑÐµÐ´ÑÑÐ² ÑÐ·ÑÐºÐ° Python. ÐÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð¾ ÑÐµÑÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ ÑÐºÐ¾ÑÐ¾ÑÑÐ¸ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð²ÑÐµÐ´Ð¾Ð½Ð¾ÑÐ½ÑÑ APK ÑÐ°Ð¹Ð»Ð¾Ð² Ð² Ð·Ð°Ð²Ð¸ÑÐ¸Ð¼Ð¾ÑÑÐ¸ Ð¾Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ñ Ð°Ð¿Ð¿Ð°ÑÐ°ÑÐ½ÑÑ ÑÐµÑÑÑÑÐ¾Ð² Ð¿Ð»Ð°ÑÑÐ¾ÑÐ¼Ñ Ð¿Ð¾ Ð´Ð²ÑÐ¼ ÑÑÐµÐ½Ð°ÑÐ¸ÑÐ¼, ÑÐ°Ð·Ð»Ð¸ÑÐ°ÑÑÐ¸ÑÑÑ Ð¿Ð¾ ÐºÐ¾Ð»Ð¸ÑÐµÑÑÐ²Ñ Ð²ÑÐ´ÐµÐ»ÐµÐ½Ð½Ð¾Ð³Ð¾ Ð²ÑÐµÐ¼ÐµÐ½Ð¸. ÐÐ¾Ð»ÑÑÐµÐ½Ð½ÑÐµ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÑ Ð¾ÑÐµÐ½ÐµÐ½Ñ. ÐÑÐ¸Ð²ÐµÐ´ÐµÐ½Ñ ÑÐ¿Ð¾ÑÐ¾Ð±Ñ Ð´Ð»Ñ Ð´Ð°Ð»ÑÐ½ÐµÐ¹ÑÐµÐ¹ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ¸ Ð¿ÑÐ¸Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ Ð¸ ÑÐ¾Ð²ÐµÑÑÐµÐ½ÑÑÐ²Ð¾Ð²Ð°Ð½Ð¸Ñ Ð²Ð·Ð°Ð¸Ð¼Ð¾Ð´ÐµÐ¹ÑÑÐ²Ð¸Ñ Ñ Ð°Ð¿Ð¿Ð°ÑÐ°ÑÐ½ÑÐ¼Ð¸ ÑÐµÑÑÑÑÐ°Ð¼Ð¸ Ð¼Ð¾Ð±Ð¸Ð»ÑÐ½ÑÑ Ð¿Ð»Ð°ÑÑÐ¾ÑÐ¼.
description: This work presents a study of the impact of artificial intelligence hardware support on the operation of antivirus software on the Android operating system. The analysis of possibilities of the Huawei HiSilicon Kirin 970 platform neural processor is carried out and the optimum choice of models of artificial neural networks is made. An overview of anti-virus tools that use in-depth training and are available for use on user devices to some extent is given. In Java language the application is developed which is based on the ready models of a convolution neural network and long short-term memory. Interaction with hardware resources, as well as the transfer of trained models to the mobile platform with the preservation of functionality was carried out using the means of TensorFlow Lite. The models underwent in-depth training using a fixed graphics processor on both secure APK files and malicious content files. Learning control points were converted to the desired model type using the Python language. The detection rate of malicious APK files was tested depending on the use of platform hardware resources in two scenarios differing in the amount of time allocated. The results obtained have been evaluated. Ways to further develop the application and improve interaction with mobile platform hardware resources are given.