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BArcherFuzzer:An Android System Services Fuzzier via Transaction Dependencies of BpBinder

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Intelligent Automation & Soft Computing 2024年第3期39卷 527-544页

作者： Jiawei Qin Hua Zhang Hanbing Yan Tian Zhu Song Hu Dingyu Yan The State Key Laboratory of networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing100080China The National Computer Network Emergency Response Technical team/Coordination Center of China Beijing100012China

By the analysis of vulnerabilities of Android native system services,we find that some vulnerabilities are caused by inconsistent data transmission and inconsistent data processing logic between client and *** existing research cannot find the above two types of vulnerabilities and the test cases of them face the problem of low *** this paper,we propose an extraction method of test cases based on the native system services of the client and design a case construction method that supports multi-parameter mutation based on genetic algorithm and priority *** on the above method,we implement a detection tool-BArcherFuzzer to detect vulnerabilities of Android native system *** experiment results show that BArcherFuzzer found four vulnerabilities of hundreds of exception messages,all of them were confirmed by Google and one was assigned a Common Vulnerabilities and Exposures(CVE)number(CVE-2020-0363).

关键词： Android OS vulnerability detection binder fuzz testing genetic algorithm

Joint alignment and steering to manage interference

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Digital Communications and Networks 2024年第2期10卷 429-438页

作者： Zhao Li Xiujuan Liang Yinghou Liu Jia Liu Zheng Yan School of Cyber Engineering Xidian UniversityXi'an710126China Technol.on Commun.Net.Lab. The 54th Research Inst.of China Elec.Technol.Group Corp.Shijiazhuang050081China School of Computer Science and Technology Xidian UniversityXi'an710126China The Department of Communications and networking(Comnet) Aalto University02150EspooFinland

In wireless communication networks,mobile users in overlapping areas may experience severe interference,therefore,designing effective Interference Management(IM)methods is crucial to improving network ***,when managing multiple disturbances from the same source,it may not be feasible to use existing IM methods such as Interference Alignment(IA)and Interference Steering(IS)*** is because with IA,the aligned interference becomes indistinguishable at its desired Receiver(Rx)under the cost constraint of Degrees-of-Freedom(DoF),while with IS,more transmit power will be consumed in the direct and repeated application of IS to each *** remedy these deficiencies,Interference Alignment Steering(IAS)is proposed by incorporating IA and IS and exploiting their advantages in *** IAS,the interfering Transmitter(Tx)first aligns one interference incurred by the transmission of one data stream to a one-dimensional subspace orthogonal to the desired transmission at the interfered Rx,and then the remaining interferences are treated as a whole and steered to the same subspace as the aligned ***,two improved versions of IAS,i.e.,IAS with Full Adjustment at the Interfering Tx(IAS-FAIT)and Interference Steering and Alignment(ISA),are *** former considers the influence of IA on the interfering user-pair's *** orthogonality between the desired signals at the interfered Rx can be maintained by adjusting the spatial characteristics of all interferences and the aligned interference components,thus ensuring the Spectral Efficiency(SE)of the interfering communication *** ISA,the power cost for IS at the interfered Tx is minimized,hence improving SE performance of the interfered *** the proposed methods are realized at the interfering and interfered Txs cooperatively,the expenses of IM are shared by both *** in-depth simulation results show that joint use of IA and

关键词： Interference Interference management Interference alignment Interference steering Spectral efficiency

A model checking-based security analysis framework for IoT systems

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High-Confidence Computing 2021年第1期1卷 24-34页

作者： Zheng Fang Hao Fua Tianbo Gu Zhiyun Qian Trent Jaeger Pengfei Hu Prasant Mohapatra Department of Computer Science University of CaliforniaDavisUnited States azure networking team MicrosoftUnited States Computer Science and Engineering department University of CaliforniaRiversideUnited States School of Computer Science and Technology Shandong UniversityChina Computer Science and Engineering department Pennsylvania State UniversityUnited States

IoT systems are revolutionizing our life by providing ubiquitous computing,inter-connectivity,and automated ***,the increasing system complexity poses huge challenges for security as IoT devices are dis-tributed,highly heterogeneous,and can directly interact with the physical *** IoT systems,bugs in device firmware,defects in network protocols,and design flaws in automation rules can lead to system breach or *** challenge gets even more escalated as the possible attacks may be chained together in a long sequence across multiple layers,rendering the existing vulnerability analysis frameworks *** this paper,we present ForeSee,a model checking-based framework to comprehensively evaluate IoT system *** builds a multi-layer IoT hypothesis graph by simultaneously modeling all of the essential components in IoT systems,including the physical environment,devices,communication protocols,and *** model checker can then analyze the generated hypothesis graph to validate system security properties or generate attack paths if there are any *** optimization algorithm is further introduced to reduce the computational complexity of our *** framework verifies hypothesis graphs with millions of nodes in less than 100 *** illustrative case studies show that our framework can detect more potential threats than the existing approaches.

关键词： IoT Security and privacy Model checking Hypothesis graph

Minimum best success probability by classical strategies for quantum pseudo-telepathy

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Science China(Physics,Mechanics & Astronomy) 2014年第7期57卷 1244-1249页

作者： GAO Fei FANG Wei WEN QiaoYan State Key Laboratory of networking and Switching Technology Beijing University of Posts and Telecommunications

Quantum pseudo-telepathy(QPT)is a new type of game where the quantum team can win with certainty while the classical one *** means the advantages of quantum participants over classical ones in ***,there has been no systematic and formal analysis on the QPT game *** we present the formal description of the QPT game and the definition of the most simplified *** on the above definitions,we simplify a famous QPT game,*** Cabllo ***,according to some instances,we analyze the minimum best success probability by classical strategies of the two-player QPT,which reflects the advantage of the quantum ***,we prove the best success probability by classical strategies for the most simplified QPT is totally related to the number of all possible question combinations.

关键词： quantum game pseudo-telepathy quantum strategy

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ULM： A user-level model for emotion prediction in social networks

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The Journal of China Universities of Posts and Telecommunications 2016年第3期23卷 63-69,88页

作者： Wang Qiyao Li Zhengmin Jin Yuehui Cheng Shiduan Yang Tan State Key Laboratory of networking and Switching Technology Beijing University of Posts and Telecommunications Beijing 100876 China National Computer Network Emergency Response Technical team/Coordination Center of China Beijing 100012 China School of Software Engineering Beijing University of Posts and Telecommunications Beijing 100876 China

Users express their emotions in online social networks （OSNs）. Studying emotions is important for understanding user behaviors. Existing methods in emotion prediction mainly use personal emotion and friend emotion to predict target emotion. In this study, public sentiment is introduced to denote the sentiment of the majority in the network. Public conformity is calculated to measure the degree of a user conforming to the public sentiment. According to the public conformity, users are categorized into three classes： Approvers, independents, and starters. A user-level model for emotion prediction is proposed to predict target emotions of different classes of users, taking into account of the public sentiment, individual sentiment, friend sentiment and pseudo-friend sentiment. Relations between the public conformity and the structure of the network are studied. Experiments conducted on Sina Weibo show that the proposed model could achieve performance improvements to some existing methods in most cases.

关键词： public sentiment conformity user-level model emotion prediction social networks

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Impact of pre-existing cardiometabolic diseases on metastatic cancer stage at diagnosis:a prospective multinational cohort study

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Cancer Communications 2024年第5期44卷 593-597页

作者： Anna Jansana Aviane Auguste Marina Kvaskoff Agnès Fournier Emma Fontvieille Laia Peruchet-Noray Carine Biessy Reynalda Cordova Kristina Elin Nielsen Petersen Anne Tjoneland Verena Katzke Rudolf Kaaks Fulvio Ricceri Salvatore Panico Paolo Contiero Maria-Jose Sánchez Jesus Castilla Marta Crous-Bou Alicia Heath Elom Kouassivi Aglago Elisabete Weiderpass Marc James Gunter Pietro Ferrari Elio Riboli Vivian Viallon Heinz Freisling International Agency for Research on Cancer(IARC-WHO) LyonFrance Paris-Saclay University University of Versailles-Saint-Quentin-en-YvelineUniversity Paris-SudFrench National Institute for Health and Medical Research(Inserm)Gustave Roussy“Exposome and Heredity”TeamCESPVillejuifFrance Department of Nutritional Sciences University of ViennaViennaAustria Danish Cancer Society Research Center CopenhagenDenmark Department of Public Health University of CopenhagenCopenhagenDenmark Division of Cancer Epidemiology German Cancer Research CentreHeidelbergGermany Department of Clinical and Biological Sciences University of TurinTurinItaly Unit of Epidemiology Regional Health Service ASL TO3GrugliascoTurinItaly Department of Clinical Medicine and Surgery Federico II UniversityNaplesItaly Environmental Epidemiology Unit Istituto di Ricovero e Cura a Carattere Scientifico(IRCCS)-Istituto Nazionale dei TumoriMilanItaly Cancer Registry of Granada Institute for Biosanitary Research of Granada(ibs.GRANADA)GranadaSpain Epidemiology and Control of Chronic Diseases Group Epidemiology and Public Health Networking Biomedical Research CentreMadridSpain Navarra Public Health Institute PamplonaSpain Unit of Nutrition and Cancer Cancer Epidemiology Research ProgramCatalan Institute of Oncology(ICO)-Bellvitge Biomedical Research Institute(IDIBELL)L’Hospitalet de LlobregatBarcelonaSpain Department of Epidemiology Harvard Tseng-Hsi Chan School of Public HealthBostonMassachusettsUSA Department of Epidemiology and Biostatistics School of Public HealthImperial College LondonSt Mary’s CampusNorfolk PlaceLondonUK

Owing to shared risk factors between cardiometabolic diseases(CMDs)and cancer,coupled with population aging,the lifetime risk of an individual developing cancer after a CMD is ***,biological mechanisms such as insulin resistance or inflammation may not only predispose individuals withCMDto an elevated risk of certain types of cancer but also to a diagnosis of cancer at an advanced stage[1,2].

关键词： diagnosis diseases cancer

ICMPTend: Internet Control Message Protocol Covert Tunnel Attack Intent Detector

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Computers, Materials & Continua 2022年第5期71卷 2315-2331页

作者： Tengfei Tu Wei Yin Hua Zhang Xingyu Zeng Xiaoxiang Deng Yuchen Zhou Xu Liu State Key Laboratory of networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing100876China State Key Laboratory of Cryptology Beijing100878China National Computer Network Emergency Response Technical team/Coordination Center of China 100029China Pennsylvania State University State College16801USA

The Internet Control Message Protocol(ICMP)covert tunnel refers to a network attack that encapsulates malicious data in the data part of the ICMP protocol for *** concealment is stronger and it is not easy to be *** detection methods are detecting the existence of channels instead of clarifying specific attack *** this paper,we propose an ICMP covert tunnel attack intent detection framework ICMPTend,which includes five steps:data collection,feature dictionary construction,data preprocessing,model construction,and attack intent *** can detect a variety of attack intentions,such as shell attacks,sensitive directory access,communication protocol traffic theft,filling tunnel reserved words,and other common network *** extract features from five types of attack intent found in ICMP *** build a multi-dimensional dictionary of malicious features,including shell attacks,sensitive directory access,communication protocol traffic theft,filling tunnel reserved words,and other common network attack *** the high-dimensional and independent characteristics of ICMP traffic,we use a support vector machine(SVM)as a multi-class *** experimental results show that the average accuracy of ICMPTend is 92%,training ICMPTend only takes 55 s,and the prediction time is only 2 s,which can effectively identify the attack intention of ICMP.

关键词： Internet control message protocol support vector machine covert tunnel network analysis

User abnormal behavior analysis based on neural network clustering

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The Journal of China Universities of Posts and Telecommunications 2016年第3期23卷 29-36,44页

作者： Zheng Ruijuan Chen Jing Zhang Mingchuan Zhu Junlong Wu Qingtao College of Information Engineering Henan University of Science and Technology State Key Laboratory of networking and Switching Technology Beijing University of Posts and Telecommunications

It is the premise of accessing and controlling cloud environment to establish the mutual trust relationship between users and clouds. How to identify the credible degree of the user identity and behavior becomes the core problem？ This paper proposes a user abnormal behavior analysis method based on neural network clustering to resolve the problems of over-fitting and flooding the feature information, which exists in the process of traditional clustering analysis and calculating similarity. Firstly, singular value decomposition （SVD） is applied to reduce dimension and de-noise for massive data, where map-reduce parallel processing is used to accelerate the computation speed, and neural network model is used for softening points. Secondly, information entropy is added to hidden layer of neural network model to calculate the weight of each attribute. Finally, weight factor is used to calculate the similarity to make the cluster more accuracy. For the problem of analyzing the mobile cloud user behaviors, the experimental results show that the scheme has higher detection speed （DS） and clustering accuracy than traditional schemes. The proposed method is more suitable for the mobile cloud environment.

关键词： anomaly analysis information security singular value decomposition (SVD) neural network information entropy

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Construction and Count of 1-Resilient Rotation Symmetric Boolean Functions on pr Variables

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Chinese Journal of Electronics 2014年第4期23卷 816-820页

作者： DU Jiao PANG Shanqi WEN Qiaoyan LIAO Xin College of Mathematics and Information Science Henan Normal University State Key Laboratory of networking and Switching Technology Beijing University of Posts and Telecommunications College of Information Science and Engineering Hunan University

Construction and count of 1-resilient Rotation symmetric Boolean functions(RSBFs) on p r variables are demonstrated. It is proved that constructions of1-resilient RSBFs on p r variables are equivalent to solving an equation system. An accurate enumeration formula of all 1-resilient RSBFs on p r variables is also proposed. Some examples are given, and the exact numbers of 1-resilient RSBFs on 8 and 9 variables are obtained respectively.

关键词： Cryptography Rotation symmetric Support table Correlation-immune Resilient functions