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2017 9th IEEE International Conference on Communication Software and networks (ICCSN 2017)

作者： Xiang Li Chao Zheng Chengwei Zhang Shu Li Li Guo Jie Xu National Engineering Laboratory for Information Security Technologies Institute of Information Engineering UCAS National Computer Network Emergency Response Technical Team National Computer Network Emergency Technology Coordination Center

ISBN: (纸本)9781509038237;9781509038220

Mobile applications have gained rising popularity due to the advantages in mobile technologies. Furthermore, the appearance of tablets and mobile devices with other forms has increased the diversity of apps. These phenomena have resulted in a growing need of app developers to understand usage behaviors of mobile apps. Previous studies in this area mostly rely on instrumented devices so that the scope is limited. To better understand the usage behaviors at a larger scale, we present an approach without assistance of any device which is designed to identify app installation packages instead of app traffic flows. Our study mainly focuses on measuring and analyzing the hottest apps and the distribution of app downloading based on both download number and volume. The result indicates that 10% apps account for 70% downloads both by number and volume. Moreover, it is observed that the download distribution of Android and i OS are different due to different system settings.

关键词： mobile apps app package usage behaviors network traffic app measurement

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Revisiting Cloud Migration: Strategies and Methods

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Journal of Physics: Conference Series 2020年第1期1575卷

作者： Zhixiao Wang Wenyao Yan Wendong Wang School of Computer Science and Engineering Xi'an University of Technology Xi'an 710048 China Shaanxi Key Laboratory Xi'an of Network Computing and Security Technology China School of Data Science and Computer Xi'an innovation college of Yan'an University Xi'an 710100 China Yan'an University Xi'an 716000 China

Cloud computing attracts users with its advantage of unlimited resource supply where resources can be elastically expanded on demand and balanced-load at the same time. This means that the application in the cloud environment should run in the way of elastic expansion cluster. At present, most of the elastic expansion and load balancing technologies provided by IaaS level are oriented to virtual machines (VM), with little consideration of application level, which does not fundamentally meet the needs of users. Based on this, starting from the motivation of cloud migration, we first analyse the cloud migration technology from three aspects: migration object, migration means and migration objectives, then explore the cloud migration criteria and four cloud migration strategies at the application level in the cloud environment, and point out that cloud migration should be optimized and maintained in terms of elastic expansion, load balancing, security, etc.

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Driving Android apps to trigger target API invocations based on activity and GUI filtering

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Science China(Information Sciences) 2017年第7期60卷 262-264页

作者： Hongzhou YUE Yuqing ZHANG Wenjie WANG Qixu LIU State Key Laboratory of Integrated Services Networks Xidian University National Computer Network Intrusion Protection Center University of Chinese Academy of Sciences State Key Laboratory of Information Security Institute of Information EngineeringChinese Academy of Sciences

For an Android app tester,it is often needed to trigger the specific behaviors of an ***,most of the existing Android GUI exploration tools only pursue high code coverage,rather than triggering the specific behaviors of an app[1,2].It inevitably leads to the unnecessary time consumption in the exploration process of an app if the testers only care about some specific behaviors of this ***,methods of making a more targeted GUI exploration tool had been studied by

关键词： GUI API Driving Android apps to trigger target API invocations based on activity and GUI filtering

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A rich ranking model based on the matthew effect optimization 7th

A rich ranking model based on the matthew effect optimizatio...

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7th International Conference on Computational Data and Social networks, CSoNet 2018

作者： Li, Jinzhong Liu, Guanjun Department of Computer Science and Technology College of Electronic and Information Engineering Jinggangshan University Ji’an343009 China Network and Data Security Key Laboratory of Sichuan Province University of Electronic Science and Technology of China Chengdu610054 China Department of Computer Science and Technology College of Electronic and Information Engineering Tongji University Shanghai201804 China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai201804 China

ISBN: (纸本)9783030046477

Most existing approaches of learning to rank treat the effectiveness of each query equally which results in a relatively lower ratio of queries with high effectiveness (i.e. rich queries) in the produced ranking model. Such ranking models need to be further optimized to increase the number of rich queries. In this paper, queries with different effectiveness are distinguished, and the queries with higher effectiveness are given higher weights. We modify the gradient in the LambdaMART algorithm based on a new perspective of Matthew effect to highlight the optimization of the rich queries and to produce the rich ranking model, and we present a consistency theorem for the modified optimization objective. Based on the effectiveness evaluation criteria for information retrieval, we introduce the Gini coefficient, mean-variance and quantity statistics to measure the performances of the ranking models. Experimental results show that the ranking models produced by the gradient-modified LambdaMART algorithm based on Matthew effect exhibit a stronger Matthew effect compared to the original LambdaMART algorithm. © Springer Nature Switzerland AG 2018.

关键词： Artificial intelligence

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Minimum length key in MST cryptosystems

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Science China(Information Sciences) 2017年第5期60卷 142-152页

作者： Haibo HONG Licheng WANG Haseeb AHMAD Yixian YANG Zhiguo QU School of Computer Science and Information Engineering Zhejiang Gongshang University Information Security Center State Key Laboratory of Networking and Switching TechnologyBeijing University of Posts and Telecommunications Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science & Technology

As a special factorization category of finite groups, logarithmic signature(LS) is used as the main component of cryptographic keys that operate within secret key cryptosystems such as PGM and public key cryptosystems like M ST1, M ST2 and M ST3. An LS with the shortest length is called a minimal logarithmic signature(MLS) that constitutes of the smallest sized blocks and offers the lowest complexity, and is therefore desirable for cryptographic constructions. However, the existence of MLSs for finite groups should be firstly taken into an account. The MLS conjecture states that every finite simple group has an MLS. If it holds, then by the consequence of Jordan-H¨older Theorem, every finite group would have an MLS. In fact, many cryptographers and mathematicians are keen for solving this problem. Some effective work has already been done in search of MLSs for finite groups. Recently, we have made some progress towards searching a minimal length key for MST cryptosystems and presented a theoretical proof of MLS conjecture.

关键词： MLS conjecture finite groups (minimal) logarithmic signature minimum length key MST cryp tosystems

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Power Attack and Protected Implementation on Lightweight Block Cipher SKINNY

Power Attack and Protected Implementation on Lightweight Blo...

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Asia Joint Conference on Information security (Asia JCIS)

作者： Jing Ge Yifan Xu Ruiqian Liu Enze Si Ning Shang An Wang School of Computer Science State Key Laboratory of Cryptology Beijing China School of Computer Science Beijing Institute of Technology Beijing China Network Security Squadron of Public Security Department of Henan Province Zhengzhou China Chinese Academy of Sciences China Key laboratory of network assessment technology & Institute of Information Engineering Beijing China

SKINNY is a new lightweight tweakable block cipher family, which can compete to other lightweight cipher in terms of hardware or software implementations. While its theoretical security has been widely studied, little effort has been made to analyze its implementation security such as side-channel attacks protection. In this paper, we first give correlation power attack and its experiment on SKINNY. Then, a masking scheme for software SKINNY is proposed against side-channel attacks. Its implementation shows that the protected SKINNY only costs 8.42%, 183.27%, and 90.85% of extra code, time, and RAM, respectively.

关键词： Encryption Correlation Power demand Ciphers Hamming weight

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Analysis of Stepping Stone Attacks in Dynamic Vulnerability Graphs

Analysis of Stepping Stone Attacks in Dynamic Vulnerability ...

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2018 IEEE International Conference on Communications, ICC 2018

作者： Gamarra, Marco Shetty, Sachin Nicol, David M. Gonazlez, Oscar Kamhoua, Charles A. Njilla, Laurent Oscar Gonzalez College of Engineering Old Dominion University NorfolkVA23529 United States Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign UrbanaIL61801 United States Network Security Branch U.S. Army Research Laboratory AdelphiMD20783 United States Cyber Assurance Branch U.S. Air Force Research Laboratory RomeNY United States

ISBN: (纸本)9781538631805

Vulnerability graphs have been employed as an effective tool for analyzing exploitability and impact of chain of exploits in networked environments. The attack graphs are created by a chain of "stepping stones" from the attacker origin to the desired target. The stepping stones not only provide the intermediate steps to reach the target, but also make it difficulty to identify the attacker's true location. In this paper, we model and analyze stepping stones in dynamic vulnerability graphs. Most analysis based on attack graph assume that the graph edges and weights remain constant during the attacker's attempt to propagate through the network. We propose a biased min- consensus technique for dynamic graphs with switching topology as a distributed technique to determine the attach paths with more probable stepping-stones in dynamic vulnerability graphs. We use min-plus algebra to determine necessary and sufficient convergence conditions. A necessary condition for convergence to the shortest path in the switching topology case is provided. © 2018 IEEE.

关键词： Graphic methods

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Spot evasion attacks: Adversarial examples for license plate recognition systems with convolutional neural networks

arXiv

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arXiv 2019年

作者： Qian, Ya-Guan Ma, Dan-Feng Wang, Bin Pan, Jun Wang, Jia-Min Chen, Jian-Hai Zhou, Wu-Jie Lei, Jing-Sheng School of Big-Data Science Zhejiang University of Science and Technology Hangzhou310023 China Network and Information Security Laboratory of Hangzhou Hikvision Digital Technology Co. Ltd. Hang Zhou310052 China College of Computer Science and Technology Zhejiang University Hangzhou310027 China School of Information and Electronic Engineering Zhejiang University of Science and Technology Hangzhou310023 China

Recent studies have shown convolutional neural networks (CNNs) for image recognition are vulnerable to evasion attacks with carefully manipulated adversarial examples. Previous work primarily focused on how to generate adversarial examples closed to source images, by introducing pixel-level perturbations into the whole or specific part of images. In this paper, we propose an evasion attack on CNN classifiers in the context of License Plate Recognition (LPR), which adds predetermined perturbations to specific regions of license plate images, simulating some sort of naturally formed spots (such as sludge, etc.). Therefore, the problem is modeled as an optimization process searching for optimal perturbation positions, which is different from previous work that consider pixel values as decision variables. Notice that this is a complex nonlinear optimization problem, and we use a genetic-algorithm based approach to obtain optimal perturbation positions. In experiments, we use the proposed algorithm to generate various adversarial examples in the form of rectangle, circle, ellipse and spots cluster. Experimental results show that these adversarial examples are almost ignored by human eyes, but can fool HyperLPR with high attack success rate over 93%. Therefore, we believe that this kind of spot evasion attacks would pose a great threat to current LPR systems, and needs to be investigated further by the security community. Copyright © 2019, The Authors. All rights reserved.

关键词： Genetic algorithms

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Improving reliability of cloud computing services for next generation mobile communication networks

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International Journal of computers and Applications 2018年第3期40卷 1-7页

作者： Chen, Hao Zhao, Dongmei Liu, Kan Wu, Wen Wang, Li Department of Electronic Information Engineering School of Computer and Information Engineering Tianjin Chengjian University Tianjin China Hebei Provincial Key Laboratory of Network and Information Security Information Technical College Hebei Normal University Shijiazhuang China School of Economics and Management Beijing Jiaotong University Beijing China Department of Network Engineering School of Computer and Information Engineering Tianjin Chengjian University Tianjin China

In the future, the virtualized (cloned) smartphone is called the virtual network device, which is hosted in the private and the public cloud environments. This is a major research field in next-generation mobile communication networks. Cloud computing platforms provide efficient and flexible ways to offer services and computation facilities to users. However, reliability in the cloud is an important factor to measure the performance of a virtualized cloud computing platform. The paper proposes a new approach to improve reliability of cloud computing platforms for next communication networks. © 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Reliability

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A High Throughput Distributed Log Stream Processing System for network security Analysis 9

A High Throughput Distributed Log Stream Processing System f...

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2017 9th IEEE International Conference on Communication Software and networks (ICCSN 2017)

作者： Jingfen Zhao Peng Zhang Yong Sun Qingyun Liu Guolin Tan Zhengmin Li Institute of Information Engineering Chinese Academy of Science National Engineering Laboratory for Information Security Technologies National Computer Network Emergency Response and Coordination Center Institute of Information Engineering Chinese Academy of Science

ISBN: (纸本)9781509038237;9781509038220

computer-system logs often contain high volumes of interesting, useful information, and are an important data source for network security analysis. In this paper, we propose a distributed log stream processing system consisting of three main parts: log collection module, log transmission module and log statistics module. The system uses several open source technologies, not only supports multi-source heterogeneous log collection, but also provides near-real-time online statistics for log stream and offline statistics for massive log. In addition, we adopt a layered architecture in the log collection module, and accomplish a reliable Kafka consumer to get higher scalability as well as reliability. Using log entries generated by the network security platform as data source to do experiment, demonstrates that the proposed system is an effective and practical log stream processing system.

关键词： log stream security analysis big data scalability

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