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DSP-TMM:A Robust Cluster Analysis Method Based on Diversity Self-Paced T-Mixture Model

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Journal of Beijing Institute of Technology 2020年第4期29卷 531-543页

作者： Limin Pan Xiaonan Qin Senlin Luo information system and security&countermeasures experimental center Beijing Institute of TechnologyBeijing 100081China

In order to implement the robust cluster analysis,solve the problem that the outliers in the data will have a serious disturbance to the probability density parameter estimation,and therefore affect the accuracy of clustering,a robust cluster analysis method is proposed which is based on the diversity self-paced t-mixture *** model firstly adopts the t-distribution as the submodel which tail is easily *** this basis,it utilizes the entropy penalty expectation conditional maximal algorithm as a pre-clustering step to estimate the initial *** that,this model introduces l2,1-norm as a self-paced regularization term and developes a new ECM optimization algorithm,in order to select high confidence samples from each component in ***,experimental results on several real-world datasets in different noise environments show that the diversity self-paced t-mixture model outperforms the state-of-the-art clustering *** provides significant guidance for the construction of the robust mixture distribution model.

关键词： cluster analysis Gaussian mixture model t-distribution mixture model self-paced learning initialization

A rapid audio event detection method by adopting 2D-Haar acoustic super feature vector

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Chinese Journal of Acoustics 2015年第2期34卷 186-202页

作者： L Ying LUO Senlin GAO Xiaofang XIE Erman PAN Limin information system and security countermeasures experimental center Beijing Institute of Technology

For accuracy and rapidity of audio event detection in the mass-data audio pro- cessing tasks, a generic method of rapidly recognizing audio event based on 2D-Haar acoustic super feature vector and AdaBoost is proposed. Firstly, it combines certain number of con- tinuous audio frames to be an ＂acoustic feature image＂, secondly, uses *** or fast Random AdaBoost feature selection algorithm to select high representative 2D-Haar pattern combinations to construct super feature vectors; thirdly, analyzes the commonality and differ- ences between subcategories, then extracts common features and reduces different features to obtain a generic audio event template, which can support the accurate identification of multi- ple sub-classes and detect and locate the specific audio event from the audio stream accurately. experimental results show that the use of 2D-Haar acoustic feature super vector can make recog- nition accuracy 5% higher than ones that MFCC, PLP, LPCC and other traditional acoustic features yielded, and can make tile training processing 7 20 times faster and the recognition processing 5-10 times faster, it can even achieve an average precision of 93.38%, an average recall of 95.03% under the optimal parameter configuration found by grid method. Above all, it can provide an accurate and fast mass-data processing method for audio event detection.

关键词： Haar A rapid audio event detection method by adopting 2D-Haar acoustic super feature vector

Byte-Level Function-Associated Method for Malware Detection

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Computer systems Science & Engineering 2023年第7期46卷 719-734页

作者： Jingwei Hao Senlin Luo Limin Pan information system&security and countermeasures Experiments center Beijing Institute of TechnologyBeijing100081China

The byte stream is widely used in malware detection due to its independence of reverse ***,existing methods based on the byte stream implement an indiscriminate feature extraction strategy,which ignores the byte function difference in different segments and fails to achieve targeted feature extraction for various byte semantic representation modes,resulting in byte semantic *** address this issue,an enhanced adversarial byte function associated method for malware backdoor attack is proposed in this paper by categorizing various function bytes into three functions involving structure,code,and *** Minhash algorithm,grayscale mapping,and state transition probability statistics are then used to capture byte semantics from the perspectives of text signature,spatial structure,and statistical aspects,respectively,to increase the accuracy of byte semantic ***,the three-channel malware feature image is constructed based on different function byte semantics,and a convolutional neural network is applied for *** on multiple data sets from 2018 to 2021 show that the method can effectively combine byte functions to achieve targeted feature extraction,avoid byte semantic confusion,and improve the accuracy of malware detection.

关键词： Byte function malware backdoor attack semantic representation model visualization

Image Fusion Scheme Based on Nonsubsampled Contourlet and Block-Based Cosine Transform

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Journal of Shanghai Jiaotong university(Science) 2012年第1期17卷 8-12页

作者：宋好好陆臻 Quality Supervision and Testing center of security Products for Computer information system Ministry of Public Security

A kind of nonsubsampled contourlet and block-based cosine transform(NSCBCT)is developed,and its application in image fusion is studied in this *** construction of filtering banks is based on the nonsubsampled contourlet transform(NSCT)and block-based discrete cosine transform(B-DCT).We combine NSCT and B-DCT to design filters that lead to NSCBCT with better singularity representation than either of them in isolation.A design framework based on the hybrid approach is proposed,which allows for the fast implementation based on NSCT and B-DCT *** addition,a new image fusion scheme based on NSCBCT for multispectral and panchromatic satellite images is ***,because it adopts NSCT,the fused satellite images have higher spatial resolution than those based on ***,based on the localized high frequency information provided by B-DCT,the proposed fusion scheme can reduce the spectral distortion of the fused image *** results show that the proposed fusion method is able to increase the spatial resolution and reduce the spectral distortion of the fused image at the same time.

关键词： image fusion nonsubsampled contourlet cosine wavelet satellite image

The Machine Learning Ensemble for Analyzing Internet of Things Networks:Botnet Detection and Device Identification

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Computer Modeling in Engineering & Sciences 2024年第11期141卷 1495-1518页

作者： Seung-Ju Han Seong-Su Yoon Ieck-Chae Euom system security Research center Chonnam National UniversityGwangju61186Republic of Korea

The rapid proliferation of Internet of Things(IoT)technology has facilitated automation across various ***,this advancement has also resulted in a notable surge in cyberattacks,notably *** a result,research on network analysis has become *** learning-based techniques for network analysis provide a more extensive and adaptable approach in comparison to traditional rule-based *** this paper,we propose a framework for analyzing communications between IoT devices using supervised learning and ensemble techniques and present experimental results that validate the efficacy of the proposed *** results indicate that using the proposed ensemble techniques improves accuracy by up to 1.7%compared to single-algorithm *** results also suggest that the proposed framework can flexibly adapt to general IoT network analysis *** existing frameworks,which only exhibit high performance in specific situations,the proposed framework can serve as a fundamental approach for addressing a wide range of issues.

关键词： Internet of Things machine learning traffic analysis botnet detection device identification

A Reversible Data Hiding Algorithm Based on Image Camouflage and Bit-Plane Compression

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Computers, Materials & Continua 2021年第8期68卷 2634-2650页

作者： Jianyi Liu Ru Zhang Jing Li Lei Guan Cheng Jie Jiaping Gui School of Cyberspace security Beijing University of Posts and TelecommunicationsBeijing100876China Network security Monitoring center State Grid Information&Telecommunication BranchBeijing100761China School of Electrical Engineering Tsinghua UniversityBeijing100091China Data Science and system security Department NEC Labs AmericaPrinceton08540America

Reversible data hiding in encrypted image(RDHEI)is a widely used technique for privacy protection,which has been developed in many applications that require high confidentiality,authentication and *** RDHEI methods do not allow high embedding rate while ensuring losslessly recover the original ***,the ciphertext form of encrypted image in RDHEI framework is easy to cause the attention of *** paper proposes a reversible data hiding algorithm based on image camouflage encryption and bit plane compression.A camouflage encryption algorithm is used to transform a secret image into another meaningful target image,which can cover both secret image and encryption behavior based on“plaintext to plaintext”*** edge optimization method based on prediction algorithm is designed to improve the image camouflage encryption *** reversible data hiding based bit-plane level compression,which can improve the redundancy of the bit plane by Gray coding,is used to embed watermark in the camouflage *** experimental results also show the superior performance of the method in terms of embedding capacity and image quality.

关键词： Reversible data hiding image camouflage bit plane compression encryption edge optimization

A Semi-Fragile Wavelet Transform Watermarking Scheme for Content Authentication of Images

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Journal of Shanghai Jiaotong university(Science) 2009年第5期14卷 569-573页

作者：宋好好张艳邹春明 Ministry of Public security Quality Supervision and Testing center of security Products for Computer information system

A novel semi-fragile watermarking scheme for the content authentication of images using wavelet transform(WT) is presented in this *** is tolerant to the embedded wavelet image compression methods based on WT such as embedded zerotree wavelet(EZW) ,set partitioning in hierarchical trees(SPIHT) and embedded block coding with optimized truncation(EBCOT) in JPEG2000 to a pre-determined bit-plane,but is sensitive to all other malicious *** image features are generated from the lowest-frequency(LF) subband of the original image as the embedded *** watermark is embedded into the pre-determined bit-plane by adjusting the corresponding values in the given *** the process of watermarking authentication,we compare the image features generated from the LF subband of the received image with the embedded watermarking information(the image features of the original image) extracted from the pre-determined bit-plane in the given subband of the received image to decide whether the image is attacked maliciously or processed acceptably(the embedded wavelet compression) .The most important advantage of our watermarking scheme is that the watermark information can be extracted from the watermarked image when detecting watermark,so the received image authentication needs no information about the original image or *** results prove the effectiveness of our proposed watermarking scheme.

关键词： wavelet image watermarking information security semi-fragile

SwordDTA： A Dynamic Taint Analysis Tool for Software Vulnerability Detection

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Wuhan University Journal of Natural Sciences 2016年第1期21卷 10-20页

作者： CAI Jun ZOU Peng MA Jinxin HE Jun Science and Technology on Complex Electronic system Simulation Laboratory Academy of Equipment Beijing 101416China China information Technology security Evaluation center Beijing 100085 China

Software vulnerabilities are the root cause of various information security incidents while dynamic taint analysis is an emerging program analysis technique. In this paper, to maximize the use of the technique to detect software vulnerabilities, we present SwordDTA, a tool that can perform dynamic taint analysis for binaries. This tool is flexible and extensible that it can work with commodity software and hardware. It can be used to detect software vulnerabilities with vulnerability modeling and taint check. We evaluate it with a number of commonly used real-world applications. The experimental results show that SwordDTA is capable of detecting at least four kinds of softavare vulnerabilities including buffer overflow, integer overflow, division by zero and use-after-free, and is applicable for a wide range of software.

关键词： information security software vulnerability detection dynamic taint analysis use-after-free

Enhancing security of the Reduced-Operation Two-Factor Authentication by Using Ambient WiFi

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Chinese Journal of Electronics 2018年第3期27卷 625-633页

作者： LIU Dong CHEN Jing DU Ruiying ZHANG Huanguo Key Laboratory of Aerospace information security and the Trusted Computing Ministry of Education School of ComputerWuhan University Science and Technology on Communication security Laboratory North Automatic Control Technique Research Institute Collaborative Innovation center of Geospatial Technology

Recently several reduced-operation two Factor authentication(2FA) methods have been proposed to improve the usability of traditional 2FA. The existing works cannot protect the user’s password from online guessing attack and offline dictionary attack. They cannot resist the identity fraud attack caused by co-located attackers who have obtained the victim’s password. To solve these problems, we provide a Wi Fi-based 2FA approach which can enhance security of the reduced-operation 2FA but not increase the complexity of the operation for a *** analyze our approach’s security in terms of identity fraud attack resistance, salt guessing attack resistance, and password guessing attack resistance. We also implement a prototype system and test its performance in various scenarios, e.g. lab, library, and dormitory. The security analysis and experimental results show the effectiveness of our scheme for authentication.

关键词： Two factor authentication(2FA) Proximate authentication Fuzzy vault