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1
LSTM Android Malicious Behavior Analysis Based on Feature Weighting

( Qing Yang ),( Xiaoliang Wang ),( Jing Zheng ),( Wenqi Ge ),( Ming Bai ),( Frank Jiang ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.6
- 원문보기 2
  ScienceON
  
  KISS
With the rapid development of mobile Internet, smart phones have been widely popularized, among which Android platform dominates. Due to it is open source, malware on the Android platform is rampant. In order to improve the efficiency of malware detection, this paper proposes deep learning Android malicious detection system based on behavior features. First of all, the detection system adopts the static analysis method to extract different types of behavior features from Android applications, and extract sensitive behavior features through Term frequency-inverse Document Frequency algorithm for each extracted behavior feature to construct detection features through unified abstract expression. Secondly, Long Short-Term Memory neural network model is established to select and learn from the extracted attributes and the learned attributes are used to detect Android malicious applications, Analysis and further optimization of the application behavior parameters, so as to build a deep learning Android malicious detection method based on feature analysis. We use different types of features to evaluate our method and compare it with various machine learning-based methods. Study shows that it outperforms most existing machine learning based approaches and detects 95.31% of the malware.
2
Extended kernel correlation filter for abrupt motion tracking

( Huanlong Zhang ),( Jianwei Zhang ),( Qinge Wu ),( Xiaoliang Qian ),( Tong Zhou ),( Hengcheng Fu ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.9
- 원문보기 2
  ScienceON
  
  KISS
The Kernelized Correlation Filters (KCF) tracker has caused the extensive concern in recent years because of the high efficiency. Numerous improvements have been made successively. However, due to the abrupt motion between the consecutive image frames, these methods cannot track object well. To cope with the problem, we propose an extended KCF tracker based on swarm intelligence method. Unlike existing KCF-based trackers, we firstly introduce a swarm-based sampling method to KCF tracker and design a unified framework to track smooth or abrupt motion simultaneously. Secondly, we propose a global motion estimation method, where the exploration factor is constructed to search the whole state space so as to adapt abrupt motion. Finally, we give an adaptive threshold in light of confidence map, which ensures the accuracy of the motion estimation strategy. Extensive experimental results in both quantitative and qualitative measures demonstrate the effectiveness of our proposed method in tracking abrupt motion.
3
Behavior of phosphatidylcholine adsorption on CNx coated PTFE films

Wang Yang,F.Z. Cui,Xiaoliang Qing 한국물리학회 2006 Current Applied Physics Vol.6 No.5
In order to expand the applicability of PTFE for articial replacement, the CNx coatings which could inuence lipid adsorptionare of considerable relevance. The intention of this study is to gain rst information about the inuence of CNx coating on the phos-phatidylcholine (PC) adsorption of PTFE. By means of ion beam assisted deposition (IBAD), the CNx lms can have a stronglybond to the PTFE substrates as a wide atomic intermixed zone that is formed at the surface. The characterization of the CN struc-tures under dierent bombarding conditions was carried out by Raman and SEM as well as XPS measurements. For characterizingthe behavior, analysis of PC adsorption was illuminated where Fourier transform infrared spectroscopy of attenuated total internalreection mode (ATR-FTIR) was used as principal instrument. Results point to an increase of nitrogen content and sp2/sp3 fractionunder higher bombarding voltage which seems to play a dominant role for the biological characters and a dramatic restraining oflipid deposition was induced on CNx coated PTFE compared with the uncoated samples.