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Your search keyword '"Sun, Guozi"' showing total 21 results
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21 results on '"Sun, Guozi"'

1. ARAP: Demystifying Anti Runtime Analysis Code in Android Apps

Author

Suo, Dewen, Xue, Lei, Tan, Runze, Huang, Weihao, and Sun, Guozi

Subjects
Computer Science - Cryptography and Security, Computer Science - Software Engineering
Abstract

With the continuous growth in the usage of Android apps, ensuring their security has become critically important. An increasing number of malicious apps adopt anti-analysis techniques to evade security measures. Although some research has started to consider anti-runtime analysis (ARA), it is unfortunate that they have not systematically examined ARA techniques. Furthermore, the rapid evolution of ARA technology exacerbates the issue, leading to increasingly inaccurate analysis results. To effectively analyze Android apps, understanding their adopted ARA techniques is necessary. However, no systematic investigation has been conducted thus far. In this paper, we conduct the first systematic study of the ARA implementations in a wide range of 117,171 Android apps (including both malicious and benign ones) collected between 2016 and 2023. Additionally, we propose a specific investigation tool named ARAP to assist this study by leveraging both static and dynamic analysis. According to the evaluation results, ARAP not only effectively identifies the ARA implementations in Android apps but also reveals many important findings. For instance, almost all apps have implemented at least one category of ARA technology (99.6% for benign apps and 97.0% for malicious apps).

Published
2024

5. Secure File Outsourcing Method Based on Consortium Blockchain

Author

You, Xuan, Zhou, Changsong, Chen, Zeng, Gu, Yu, Han, Rui, Sun, Guozi, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Qiu, Meikang, editor, Lu, Zhihui, editor, and Zhang, Cheng, editor

Published
2023
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6. Triplet Embedding Convolutional Recurrent Neural Network for Long Text Semantic Analysis

Author

Liu, Jingxuan, Zhu, Ming, Ouyang, Huajiang, Sun, Guozi, Li, Huakang, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Chbeir, Richard, editor, Huang, Helen, editor, Silvestri, Fabrizio, editor, Manolopoulos, Yannis, editor, and Zhang, Yanchun, editor

Published
2022
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7. Self-supervised Learning for Sketch-Based 3D Shape Retrieval

Author

Chen, Zhixiang, Zhao, Haifeng, Zhang, Yan, Sun, Guozi, Wu, Tianjian, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Yu, Shiqi, editor, Zhang, Zhaoxiang, editor, Yuen, Pong C., editor, Han, Junwei, editor, Tan, Tieniu, editor, Guo, Yike, editor, Lai, Jianhuang, editor, and Zhang, Jianguo, editor

Published
2022
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8. M-ISFCM: A Semisupervised Method for Anomaly Detection of MOOC Learning Behavior

Author

Zhou, Shichao, Cao, Liefeng, Zhang, Ruizhe, Sun, Guozi, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Wang, Yang, editor, Zhu, Guobin, editor, Han, Qilong, editor, Zhang, Liehui, editor, Song, Xianhua, editor, and Lu, Zeguang, editor

Published
2022
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9. A Method of Garbage Quantity Prediction Based on Population Change

Author

Yu, Qiumei, Wan, Hongjie, Ma, Junchen, Li, Huakang, Sun, Guozi, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Tröltzsch, Fredi, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Reis, Ricardo, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Shi, Zhongzhi, editor, Zucker, Jean-Daniel, editor, and An, Bo, editor

Published
2022
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20. Incorporating I Ching Knowledge Into Prediction Task via Data Mining

Author

Sun, Guozi, Liu, Wenjie, Chen, Sai, Huang, Guoyao, Lu, Lingfeng, and Li, Huakang

Abstract

Many real-world applications require prediction that takes the most advantage of data. Classic data mining mechanisms tend to feed a prediction model pivotal data to achieve a promising result, which needs to be adjusted in different application scenarios. Recent studies have shown the potential of I Ching mechanism to improve prediction capacity. However, the I Ching prediction mechanism has several issues, including underutilized I Ching knowledge and incomplete data conversion. To address these issues, the authors designed a model to leverage I Ching knowledge and transform traditional I Ching prediction processing into data mining. The authors' investigation revealed promising results in the stock market compared to popular machine learning and deep learning algorithms such as support vector machine (SVM), extreme gradient boosting (XGBoost), and long short-term memory (LSTM).

Published
2023
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21. Sharing of encrypted lock keys in the blockchain-based renting house system from time- and identity-based proxy reencryption

Author

Wang, Zhiwei, Qian, Liping, Chen, Danwei, and Sun, Guozi

Abstract

To design an efficient protocol for sharing the encrypted lock keys in the renting house system, we introduce a new notion called time- and identity-based, proxy reencryption (TIPRE) and the blockchain platform. Our CPA secure TIPRE scheme is constructed from Green et al.'s identity-based proxy reen-cryption scheme by adding the time property. In every time period, a time stamp authority generates a public key embedded with the current time stamp for each user. In our protocol for the renting house system, the TIPRE scheme is the primary building block, and the blockchain platform serves instead of a trusted third party, such as a real estate agency between landlords and tenants. The TIPRE scheme allows the landlord to change the lock key at each time period for safety. The blockchain platform allows the landlords and tenants to directly interact, and all of the interactions are recorded in the blockchain database to provide the desired security requirements, such as non-repudiation and unforgeability. Finally, we provide the secure analysis of our protocol and test its performance by implementing it in the MacBook Pro and the Intel Edison development platforms.

Published
2022
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