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An Efficient Authentication Infrastructure of WLAN Based on Self-Updating Hash Chain

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China Communications 2007年第1期4卷 66-74页

作者： Zhang, Haojun Chen, Li zhu, yuefei Henan Univ Technol Dept Comp Engn Chengchou Peoples R China

Two standards for security of WLAN,IEEE 802.11 i and WAPI,are introduced,and some shortcomings of them are pointed *** on hash chains technique to construct identity authentication tokens, a new authentication infrastructure for WLAN is proposed,in which AS authenticates the main entities -STAs in the foremost *** of the proposed scheme are discussed,including security, efficiency and feasibility *** with 802. 11 i and WAPI,the proposed scheme not only improves efficiency by reducing cost on computation and communication,but also promotes security property -availability by mitigating DoS attacks to AP and *** the same time,a self-updating hash chain technique is presented that is embedded in the proposed infrastructure to solve the length limitation of traditional hash chain.

关键词： WLAN authentication IEEE 802.11i WAPI self-updating hash chain

CMAES-WFD:Adversarial Website Fingerprinting Defense Based on Covariance Matrix Adaptation Evolution Strategy

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Computers, Materials & Continua 2024年第5期79卷 2253-2276页

作者： Di Wang yuefei zhu Jinlong Fei Maohua Guo School of Cyberspace Security Information Engineering UniversityZhengzhou450000China

Website fingerprinting,also known asWF,is a traffic analysis attack that enables local eavesdroppers to infer a user’s browsing destination,even when using the Tor anonymity *** advanced attacks based on deep neural network(DNN)can performfeature engineering and attain accuracy rates of over 98%,research has demonstrated thatDNNis vulnerable to adversarial *** a result,many researchers have explored using adversarial samples as a defense mechanism against DNN-based WF attacks and have achieved considerable ***,these methods suffer from high bandwidth overhead or require access to the target model,which is *** paper proposes CMAES-WFD,a black-box WF defense based on adversarial *** process of generating adversarial examples is transformed into a constrained optimization problem solved by utilizing the Covariance Matrix Adaptation Evolution Strategy(CMAES)optimization *** are injected into the local parts of the original traffic to control bandwidth *** to the experiment results,CMAES-WFD was able to significantly decrease the accuracy of Deep Fingerprinting(DF)and VarCnn to below 8.3%and the bandwidth overhead to a maximum of only 14.6%and 20.5%,***,for Automated Website Fingerprinting(AWF)with simple structure,CMAES-WFD reduced the classification accuracy to only 6.7%and the bandwidth overhead to less than 7.4%.Moreover,it was demonstrated that CMAES-WFD was robust against adversarial training to a certain extent.

关键词： Traffic analysis deep neural network adversarial sample Tor website fingerprinting

MMCo:using multimodal deep learning to detect malicious traffic with noisy labels

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Frontiers of Computer Science 2024年第1期18卷 239-241页

作者： Qingjun YUAN Gaopeng GOU yuefei zhu Yongjuan WANG Strategic Support Force Information Engineering University Zhengzhou 450001China Institute of Information Engineering Chinese Academy of SciencesBeijing 100093China

1 Introduction The success of a deep learning-based network intrusion detection systems(NIDS)relies on large-scale,labeled,realistic traffic[1,2].However,automated labeling of realistic traffic,such as by sandbox and rule-based approaches,is prone to errors[3],which in turn affects deep learning-based *** effective schemes for learning with noisy labels(LNL)have been proposed,among which the use of parallel networks for sample selection during training has been shown to be *** is argued that parallel networks can discriminate samples from different perspectives,thus adding additional information to the training *** centerpiece is maintaining disagreement of networks.

关键词： network networks modal

Combo Packet:An Encryption Traffic Classification Method Based on Contextual Information

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Computers, Materials & Continua 2024年第4期79卷 1223-1243页

作者： Yuancong Chai yuefei zhu Wei Lin Ding Li State Key Laboratory of Mathematical Engineering and Advanced Computing Information Engineering UniversityZhengzhou450001China

With the increasing proportion of encrypted traffic in cyberspace, the classification of encrypted traffic has becomea core key technology in network supervision. In recent years, many different solutions have emerged in this *** methods identify and classify traffic by extracting spatiotemporal characteristics of data flows or byte-levelfeatures of packets. However, due to changes in data transmission mediums, such as fiber optics and satellites,temporal features can exhibit significant variations due to changes in communication links and transmissionquality. Additionally, partial spatial features can change due to reasons like data reordering and *** with these challenges, identifying encrypted traffic solely based on packet byte-level features is significantlydifficult. To address this, we propose a universal packet-level encrypted traffic identification method, ComboPacket. This method utilizes convolutional neural networks to extract deep features of the current packet andits contextual information and employs spatial and channel attention mechanisms to select and locate effectivefeatures. Experimental data shows that Combo Packet can effectively distinguish between encrypted traffic servicecategories (e.g., File Transfer Protocol, FTP, and Peer-to-Peer, P2P) and encrypted traffic application categories (e.g.,BitTorrent and Skype). Validated on the ISCX VPN-non VPN dataset, it achieves classification accuracies of 97.0%and 97.1% for service and application categories, respectively. It also provides shorter training times and higherrecognition speeds. The performance and recognition capabilities of Combo Packet are significantly superior tothe existing classification methods mentioned.

关键词： Encrypted traffic classification packet-level convolutional neural network attention mechanisms

Detection of Malicious PDF Files Using a Two-Stage Machine Learning Algorithm

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Chinese Journal of Electronics 2020年第6期29卷 1165-1177页

作者： HE Kang zhu yuefei HE Yubo LIU Long LU Bin LIN Wei State Key Laboratory of Mathematical Engineering and Advanced Computing

Portable document format(PDF) files are increasingly used to launch cyberattacks due to their popularity and increasing number of *** solutions have been developed to detect malicious files,but their accuracy decreases rapidly in face of new evasion *** explore how to improve the robustness of classifiers for detecting adversarial attacks in PDF *** replacement and the n-gram are implemented to extract robust features using proposed guiding *** the two-stage machine learning model,the objects are divided based on their types,and the anomaly detection model is first trained for each type *** former detection results are organized into tree-like information structure and treated as inputs to convolutional neural *** results show that the accuracy of our classifier is nearly 100% and the robustness against evasive samples is *** object features also enable the identification of different vulnerabilities exploited in malicious PDF files.

关键词： document handling adversarial attack detection Combinatorial mathematics robust feature extraction security of data Document processing techniques classifier robustness convolutional neural nets two-stage machine learning algorithm trees (mathematics) tree-like information structure Data security convolutional neural network feature extraction malicious files anomaly detection model two-stage machine learning model evasion techniques Neural computing techniques learning (artificial intelligence) pattern classification portable document format malicious PDF files

Architecture of Trusted PC

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Wuhan University Journal of Natural Sciences 2006年第6期11卷 1433-1436页

作者： WU Shuhua zhu yuefei Institute of Information Engineering Information Engineering University Zhengzhou 450002 Henan China

This paper, focusing on the trusted computing group＇s standards, explained the key concept of trusted compuling and provided the architecture of trusted PC. It built trust bottom-up by starting with trusted hardware and adding layers of trusted software. It is a system-level solution available to all applications running on the member platforms. This solution reduces the security burden on applications and thus simplifies application programming.

关键词： architecture trusted PC trusted platform

CONDITIONAL FACTORIZATION BASED ON LATTICE THEORY FOR -INTEGERS

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Journal of Electronics(China) 2008年第2期25卷 254-257页

作者： Zheng Yonghui zhu yuefei Network Engineering Department Information Engineering University Zhengzhou 450002 China

In this paper,the integer N = pkq is called a -integer,if p and q are odd primes with almost the same size and k is a positive integer. Such integers were previously proposed for various cryptographic applications. The conditional factorization based on lattice theory for n-bit -integersis considered,and there is an algorithm in time polynomial in n to factor these integers if the least significant 「((2k-1)n)/((3k-1)(k+1))」bits of p are given.

关键词： LLL-algorithm Number field sieve Elliptic curve method

Nanomedicines modulating tumor immunosuppressive cells to enhance cancer immunotherapy

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Acta Pharmaceutica Sinica B 2020年第11期10卷 2054-2074页

作者： yuefei zhu Xiangrong Yu Soracha D.Thamphiwatana Ying Zheng Zhiqing Pang Department of Biomedical Engineering Columbia UniversityNew YorkNY 10027USA Key Laboratory of Smart Drug Delivery School of PharmacyFudan UniversityMinistry of EducationShanghai 201203China Department of Medical Imaging Zhuhai People’s HospitalZhuhai Hospital Affiliated with Jinan UniversityZhuhai 519000China Department of Biomedical Engineering Faculty of EngineeringMahidol UniversityNakhon Pathom 73170Thailand State Key Laboratory of Quality Research in Chinese Medicine Institute of Chinese Medical SciencesUniversity of MacaoMacao 999078China

Cancer immunotherapy has veered the paradigm of cancer *** recent advances in immunotherapy for improved antitumor efficacy,the complicated tumor microenvironment(TME)is highly immunosuppressive,yielding both astounding and unsatisfactory clinical *** this regard,clinical outcomes of currently available immunotherapy are confined to the varied immune systems owing in large part to the lack of understanding of the complexity and diversity of the immune context of the *** advanced designs of nanomedicines could still not fully surmount the delivery barriers of the *** immunosuppressive TME may even dampen the efficacy of antitumor ***,some nanotechnology-related strategies have been inaugurated to modulate the immunosuppressive cells within the tumor immune microenvironment(TIME)for robust immunotherapeutic *** this review,we will highlight the current understanding of the immunosuppressive TIME and identify disparate subclasses of TIME that possess an impact on immunotherapy,especially those unique classes associated with the immunosuppressive *** immunoregulatory cell types inside the immunosuppressive TIME will be delineated along with the existing and potential approaches for immunosuppressive cell *** introducing the various strategies,we will ultimately outline both the novel therapeutic targets and the potential issues that affect the efficacy of TIME-based nanomedicines.

关键词： Cancer immunotherapy Nanomedicine Tumor immunosuppressive microenvironment Drug delivery

Practical Encrypted Key Agreement Using Passwords

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Wuhan University Journal of Natural Sciences 2006年第6期11卷 1625-1628页

作者： WU Shuhua zhu yuefei Institute of Information Engineering Information Engineering University Zhengzhou 450002 Henan China

We presented a simple and efficient password-based encrypted key exchange protocol that allows a user to establish secure session keys with remote servers from client terminals in low resource environments. He does not need to carry smart card storing his private information but just needs to know his identity and password. For this purpose, the scheme was implemented over elliptic curves because of their well-known advantages with regard to processing and size constraints. Furthermore, the scheme is provably secure under the assumptions that the hash function closely behaves like a random oracle and that the elliptic curve computational Diffie-Hellman problem is difficult.

关键词： password encrypted key exchange Diffie-Hellman assumptions