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2009 International Conference on Computational Intelligence and Security, CIS 2009

作者： Zhu, Hui Li, Hui Wany, Yu-Min Ministry of Education Key Laboratory of Computer Network and Information Security Xidian University Xi'an China

ISBN: (纸本)9780769539317

Based on symmetrical encryption and signature, an efficient authentication key agreement protocol was proposed in this paper. The security analysis of the proposed protocol in the implementation plan with the Canetti-Krawczyk model is presented. The results showed that the proposed protocol was session-key secure with Perfect Forward Secrecy, Known key Security and No key Compromise Impersonation. Moreover, the implementation of the protocol was just twice communications, once signature and once symmetrical encryption, it could be an efficient authentication method between users in wireless network. © 2009 Crown Copyright.

关键词： Cryptography

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Learning Label Shift Correction for Test-Agnostic Long-Tailed Recognition 41

Learning Label Shift Correction for Test-Agnostic Long-Taile...

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41st International Conference on Machine Learning, ICML 2024

作者： Wei, Tong Mao, Zhen Zhou, Zi-Hao Wan, Yuanyu Zhang, Min-Ling School of Computer Science and Engineering Southeast University Nanjing China Key Laboratory of Computer Network and Information Integration Southeast University Ministry of Education China School of Software Technology Zhejiang University Ningbo China

Long-tail learning primarily focuses on mitigating the label distribution shift between long-tailed training data and uniformly distributed test data. However, in real-world applications, we often encounter a more intricate challenge where the test label distribution is agnostic. To address this problem, we first theoretically establish the substantial potential for reducing the generalization error if we can precisely estimate the test label distribution. Motivated by the theoretical insight, we introduce a simple yet effective solution called label shift correction (LSC). LSC estimates the test label distribution within the proposed framework of generalized black box shift estimation, and adjusts the predictions from a pre-trained model to align with the test distribution. Theoretical analyses confirm that accurate estimation of test label distribution can effectively reduce the generalization error. Extensive experimental results demonstrate that our method significantly outperforms previous state-of-the-art approaches, especially when confronted with non-uniform test label distribution. Notably, the proposed method is general and complements existing long-tail learning approaches, consistently improving their performance. The source code is available at https://***/Stomach-ache/label-shift-correction. Copyright 2024 by the author(s)

关键词： Black-box testing

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Webshell detection techniques in web applications 5

Webshell detection techniques in web applications

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5th International Conference on Computing Communication and networking Technologies, ICCCNT 2014

作者： Dinh Tu, Truong Guang, Cheng Xiaojun, Guo Wubin, Pan School of Computer Science and Engineering Southeast University Nanjing210096 China Department of Information Technology Tuyhoa Industrial College Phuyen620900 Viet Nam Key Laboratory of Computer Network and Information Integration Southeast University Ministry of Education China

ISBN: (纸本)9781479926961

With widely adoption of online services, malicious web sites have become a malignant tumor of the Internet. Through system vulnerabilities, attackers can upload malicious files (which are also called webshells) to web server to create a backdoor for hackers' further attacks. Therefore, finding and detecting webshell inside web application source code are crucial to secure websites. In this paper, we propose a novel method based on the optimal threshold values to identify files that contain malicious codes from web applications. Our detection system will scan and look for malicious codes inside each file of the web application, and automatically give a list of suspicious files and a detail log analysis table of each suspicious file for administrators to check further. The Experimental results show that our approach is applicable to identify webshell more efficient than some other approaches. © 2014 IEEE.

关键词： Websites

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Complex field network-coded cooperation based on multi-user detection in wireless networks

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Journal of Systems Engineering and Electronics 2013年第2期24卷 215-221页

作者： Jing Wang Xiangyang Liu Kaikai Chi Xiangmo Zhao School of Information Engineering Chang'an University State Key Laboratory of Integrated Service Networks Xidian University Department of Network Management Xi'an Communication College College of Computer Science and Technology Zhejiang University of Technology

Cooperative communication can achieve spatial diversity gains,and consequently combats signal fading due to multipath propagation in wireless networks powerfully.A novel complex field network-coded cooperation（CFNCC） scheme based on multi-user detection for the multiple unicast transmission is *** analysis and simulation results demonstrate that,compared with the conventional cooperation（CC） scheme and network-coded cooperation（NCC） scheme,CFNCC would obtain higher network throughput and consumes less time ***,a further investigation is made for the symbol error probability（SEP） performance of CFNCC scheme,and SEPs of CFNCC scheme are compared with those of NCC scheme in various scenarios for different signal to noise ratio（SNR） values.

关键词： network coding complex field wireless network cooperative communication multi-user detection

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Detection of super nodes based on connection metrics for network data streams 3

Detection of super nodes based on connection metrics for net...

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3rd IEEE International Conference on Big Data Analysis, ICBDA 2018

作者： Zhou, Aiping Zhu, Huisheng Liu, Lijun Zhu, Chengang School of Computer Science and Technology Taizhou University Taizhou China Key Laboratory of Computer Network and Information Integration Southeast University Ministry of Education Nanjing China School of Computer Science and Engineering Southeast University Nanjing China

ISBN: (纸本)9781538647936

Detection of super nodes is the task of determining hosts which contact with numerous hosts in the time window or have significant connection change between two continuous time windows. This is a basic problem with many practical applications, for example, traffic measurement and anomaly detection. The main challenge is to detect super nodes in real time in the constraint of limited memory. To solve the problem, we propose a novel solution to detect super nodes based on parallel sketch using connection metrics (connection number and connection change), called PSketch. It constructs a novel data structure, and combines connection number and connection change, so that the accuracy and time efficiency of our algorithm is improved obviously. The experimental results illustrate that our algorithm is superior to CSE (Compact Spread Estimator) and JDS (Joint Data Streaming and Sampling) in terms of accuracy, memory utilization and time efficiency. © 2018 IEEE.

关键词： Anomaly detection

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Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts 41

Long-Tail Learning with Foundation Model: Heavy Fine-Tuning ...

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41st International Conference on Machine Learning, ICML 2024

作者： Shi, Jiang-Xin Wei, Tong Zhou, Zhi Shao, Jie-Jing Han, Xin-Yan Li, Yu-Feng National Key Laboratory for Novel Software Technology Nanjing University China School of Artificial Intelligence Nanjing University China School of Computer Science and Engineering Southeast University China Key Laboratory of Computer Network and Information Integration Southeast University Ministry of Education China

The fine-tuning paradigm in addressing long-tail learning tasks has sparked significant interest since the emergence of foundation models. Nonetheless, how fine-tuning impacts performance in long-tail learning was not explicitly quantified. In this paper, we disclose that heavy fine-tuning may even lead to non-negligible performance deterioration on tail classes, and lightweight fine-tuning is more effective. The reason is attributed to inconsistent class conditions caused by heavy fine-tuning. With the observation above, we develop a low-complexity and accurate long-tail learning algorithms LIFT with the goal of facilitating fast prediction and compact models by adaptive lightweight fine-tuning. Experiments clearly verify that both the training time and the learned parameters are significantly reduced with more accurate predictive performance compared with state-of-the-art approaches. The implementation code is available at https://***/shijxcs/LIFT. Copyright 2024 by the author(s)

关键词： Contrastive Learning

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Scalable Arbitrated Quantum Signature of Classical Messages with Multi-Signers

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Communications in Theoretical Physics 2010年第7期54卷 84-88页

作者：杨宇光王园腾义伟柴海平温巧燕 College of Computer Science and Technology Beijing University of Technology State Key Laboratory of Information Security Graduate University of Chinese Academy of Sciences State Key Laboratory of Integrated Services Network Xidian University State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications

Unconditionally secure signature is an important part of quantum cryptography. Usually, a signature scheme only provides an environment for a single signer. Nevertheless, in real applications, many signers may collaboratively send a message to the verifier and convince the verifier that the message is actually transmitted by them. In this paper, we give a scalable arbitrated signature protocol of classical proved to be secure even with a compromised arbitrator. messages with multi-signers. Its security is analyzed and proved to be secure even with a compromised arbitrator.

关键词： arbitrated signature quantum signature quantum cryptography

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Universal Three-Party Quantum Secret Sharing Against Collective Noise

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Communications in Theoretical Physics 2011年第4期55卷 589-593页

作者：杨宇光王园滕义伟温巧燕 College of Computer Science and Technology Beijing University of Technology State Key Laboratory of Integrated Services Network Xidian University State Key Laboratory of Information Security(Graduate University of Chinese Academy of Sciences) State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications

we present a robust and universal quantum secret sharing protocol with four-qubit decoherence-free （DF） states against collective noise. The transmission＇s safety is ensured by the nonorthogonality of the noiseless states traveling on the quantum channel. Although this scheme uses entangled states for encoding, only single-particle product measurements are required.

关键词： quantum secret sharing 03.67.Hk decoherence-free collective noise

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A public cryptosystem from R-LWE

A public cryptosystem from R-LWE

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IEEE International Conference on Communication Software and networks

作者： Wei, Ping Wu, Liqiang Yang, Xiaoyuan Hao, Bin Key Laboratory of Network and Information Security of APF Engineering College of APF Xi'an 710086 China Key Laboratory of Computer Network and Information Security Ministry of Education Xidian University Xi'an 710071 China

ISBN: (纸本)9781612844855

Recently Vadim Lyubashevsky etc. built LWE problem on ring and proposed a public cryptosystem based on R-LWE, which, to a certain extent, solved the defect of large public key of this kind, but it didn't offer parameter selections and performance analysis in detail. In this paper an improved scheme is proposed by sharing a ring polynomial vector that makes public key as small as 1/m of the original scheme in multi-user environments. In additions, we introduce a parameter r to control both the private key space size and decryption errors probability, which greatly enhances the flexibly and practicality. The correctness, security and efficiency are analyzed in detail and choice of parameters is studied, at last concrete parameters are recommended for the new scheme. © 2011 IEEE.

关键词： Encryption Hard problem based on lattice Lattices Noise Parameters selection Polynomials Public Cryptosystem Public key R-LWE

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Video steganography using motion vector and linear block codes

Video steganography using motion vector and linear block cod...

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2010 IEEE International Conference on Software Engineering and Service Sciences, ICSESS 2010

作者： Pan, Feng Xiang, Li Yang, Xiao-Yuan Guo, Yao Key Laboratory of Network and Information Security of APF Engineering College of the Armed Police Force Xi'an China Key Laboratory of Computer Network and Information Security of the Ministry of Education Xidian University Xi'an China

ISBN: (纸本)9781424460526

A novel video steganography scheme based on motion vectors and linear block codes has been proposed in this paper. Our method embed secret messages in the motion vectors of cover media during the process of H.264 compressing. Linear block codes has been used to reducing the modification rate of the motion vectors. The proposed steganographic scheme is not only has lowly computational complexity, but also has highly imperceptible to human being. Furthermore, the secret information can be extracted directly without using the original video sequences. Experiments are designed to prove the feasibility of the proposed method. Experimental results show that our proposed scheme can embed large amounts of information and can maintain good video quality as well. © 2010 IEEE.

关键词： Steganography

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