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| 1 | Image universal steganalysis based on best wavelet packet decomposition显示文摘Based on the best wavelet packet decomposition of images, a new universal steganalysis method with high detection correct ratio is proposed. First, the best wavelet packet decomposition of image based on the Shannon entropy information cost function is made. Second, high order absolute characteristic function moments of histogram extracted from the coefficient subbands obtained by best wavelet packet decomposition are regarded as features. Finally, these features are processed and a back-propagation (BP) neural network is designed to classify original and stego images. Three different steganalysis algorithms for three different cases of background and application condition are presented. To validate the performance of the proposed method, a series of experiments are made for six kinds of typical steganography methods, i.e. LSB, LTSB, PMK, Jsteg, F5 and JPHide. Results show that, the average detection accuracy of the proposed method exceeds at least 6.4% and up to 15.4% and has a better universal performance than its closest competitors. Furthermore, the proposed method can provide reference for designing the pattern recognition and classification algorithm based on best wavelet packet decomposition. | LUO XiangYang LIU FenLin YANG ChunFang WANG DaoShun | 2010 | Science China(Information Sciences)2010，53，3： | 9 |
| 2 | Polypores on Spruce in Northeast China显示文摘Poroid species of wood-inhabiting fungi growing on spruce (Picea koraiensis Nakai or Picea yezoensis (Sieb. & Zucc.) Carriere) in Northeast China were investigated during 1993-2002, and 71 species were recorded from these trees or their wood. Skeletocutis lilacina A. David & Jean Keller and Skeletocutis papyracea A. David are new to China. Fomitopsis pinicola (Sw.:Fr.) P. Karst., Onnia leporina (Fr.) H. Jahn, Perenniporia subacida (Peck) Donk, Phaeolus sckweinitzii (Fr.:Fr.) Pat., Phellinidium sulphuras... | DAI Yucheng LIU Chunjing XU Cunbao Institute of Applied Ecology. Chinese Academy of Science. Shenyang 110016. China Forestry Institute of Tiding. Liaoning Province, Tieling 112000 Fenline Nature Reserve. Heiloneiiang Academy of Forestry. Yichun 153033 | 2003 | Chinese Forestry Science and Technology2003，2，2： | 2 |
| 3 | Modification ratio estimation for a category of adaptive steganography显示文摘This paper investigates the detection of adaptive image steganography. Firstly, the sample pair analysis model of multiple least-significant bits (MLSB) replacement is analyzed, and the conditions under which the adaptive steganography can be detected via this model are given. For the category of adaptive steganography satisfying these conditions, a general quantitative steganalysis method is presented based on specific areas and sample pair analysis. Then, for a typical adaptive steganography, some concrete methods are proposed to select specific areas and trace sets of sample pairs, and estimate the stego modification ratios. Experimental results show that the proposed methods can estimate the stego modification ratio accurately. This verifies the validity of the proposed general quantitative steganalysis method. | LUO XiangYang LIU FenLin YANG ChunFang LIAN ShiGuo | 2010 | Science China(Information Sciences)2010，53，12： | 2 |
| 4 | Stepwise inter-frame correlation-based steganalysis system for video streams 显示文摘 | Liu Bin Liu Fenlin Yang Chenfang | 2008 | Security and Communication networks2008，1，6： | 1 |
| 5 | Abstract interpretation-based semantic framework for software birthmark显示文摘 | Ying Zeng FenLin Liu XiangYang Luo ShiGuo Lian | 2012 | Compute & Security2012，31，4： | 1 |
| 6 | Extracting hidden messages of MLSB steganography based on optimal stego subset显示文摘Dear editor,In recent years, steganalysis researchers have tried their best to extract the hidden messages. For example, under the condition of a known embedding position generator, Liu et al.[1] proposed a collision attack algorithm to recover the stego key of least significant bit (LSB) steganography. Fridrich et al.[2] proposed a chi-squared-test-based method to recover the stego key of LSB steganography for the case of an unknown carrier. Under the condition of multiple stego images embedded into the same positions, Ker [3] first proposed locating | Chunfang YANG Xiangyang LUO Jicang LU Fenlin LIU | 2018 | Science China(Information Sciences)2018，61，11： | 1 |
| 7 | Designing a Secure Round Function Based on Chaos显示文摘A round function based on chaos is designed combining Feistel structure’s pseudo-randomness, chaotic system’s parameter sensitivity and image data characteristics. The round function composes of two parts--data transformation based on Feistel(abbreviated as FST) and sampling output based on chaos(abbreviated as SMP). FST bases on Feistel structure and several efficient operations including bitwise xor, permutation and circulating shift. SMP is a chaos based pseudo-random sampling algorithm. It is from theoretical analysis that the round function is a pseudo-random function. The upper bounds of the average maximum differential probability and average maximum linear probability are p^2 and q^2 respectively. Finally, the good pseudo-randomness of the round function is examined with the NIST random test. The design of this round function provides an important cryptographic component for the design of chaotic image encryption algorithm. | Bin Lu Xin Ge Fenlin Liu | 2020 | China Communications2020，17，5： | 1 |
| 8 | Abstract in- terpretation-based semantic framework for software birth- mark显示文摘 | Zeng Ying Liu Fenlin Luo Xiangyang | 2012 | Computers & Security2012，31，4： | 1 |
| 9 | Extracting embedded messages using adaptive steganography based on optimal syndrome-trellis decoding paths显示文摘Privacy protection is the key to maintaining the Internet of Things(IoT)communication strategy.Steganography is an important way to achieve covert communication that protects user data privacy.Steganalysis technology is the key to checking steganography security,and its ultimate goal is to extract embedded messages.Existing methods cannot extract under known cover images.To this end,this paper proposes a method of extracting embedded messages under known cover images.First,the syndrome-trellis encoding process is analyzed.Second,a decoding path in the syndrome trellis is obtained by using the stego sequence and a certain parity-check matrix,while the embedding process is simulated using the cover sequence and parity-check matrix.Since the decoding path obtained by the stego sequence and the correct parity-check matrix is optimal and has the least distortion,comparing the path consistency can quickly filter the coding parameters to determine the correct matrices,and embedded messages can be extracted correctly.The proposed method does not need to embed all possible messages for the second time,improving coding parameter recognition significantly.The experimental results show that the proposed method can identify syndrome-trellis coding parameters in stego images embedded by adaptive steganography quickly to realize embedded message extraction. | Jialin Li Xiangyang Luo Yi Zhang Pei Zhang Chunfang Yang Fenlin Liu | 2022 | Digital Communications and Networks2022，8，4： | 1 |
| 10 | A chaos-based robust software watermarking, information security practice and experience显示文摘 | Liu Fenlin Lu Bin Luo Xiangyang | 2006 | Lecture Notes in Computer Science2006，3903，： | 1 |
| 11 | Street-Level IP Geolocation Algorithm Based on Landmarks Clustering显示文摘Existing IP geolocation algorithms based on delay similarity often rely on the principle that geographically adjacent IPs have similar delays.However,this principle is often invalid in real Internet environment,which leads to unreliable geolocation results.To improve the accuracy and reliability of locating IP in real Internet,a street-level IP geolocation algorithm based on landmarks clustering is proposed.Firstly,we use the probes to measure the known landmarks to obtain their delay vectors,and cluster landmarks using them.Secondly,the landmarks are clustered again by their latitude and longitude,and the intersection of these two clustering results is taken to form training sets.Thirdly,we train multiple neural networks to get the mapping relationship between delay and location in each training set.Finally,we determine one of the neural networks for the target by the delay similarity and relative hop counts,and then geolocate the target by this network.As it brings together the delay and geographical coordinates clustering,the proposed algorithm largely improves the inconsistency between them and enhances the mapping relationship between them.We evaluate the algorithm by a series of experiments in Hong Kong,Shanghai,Zhengzhou and New York.The experimental results show that the proposed algorithm achieves street-level IP geolocation,and comparing with existing typical streetlevel geolocation algorithms,the proposed algorithm improves the geolocation reliability significantly. | Fan Zhang Fenlin Liu Rui Xu Xiangyang Luo Shichang Ding Hechan Tian | 2021 | Computers, Materials & Continua2021，，3： | 1 |
| 12 | Delay-Distance Correlation Study for IP Geolocation显示文摘Although many classical IP geolocation algorithms are suitable to rich-connected networks,their performances are seriously affected in poor-connected networks with weak delay-distance correlation. This paper tries to improve the performances of classical IP geolocation algorithms by finding rich-connected sub-networks inside poor-connected networks. First,a new delay-distance correlation model(RTD-Corr model)is proposed. It builds the relationship between delay-distance correlation and actual network factors such as the tortuosity of the network path and the ratio of propagation delay. Second,based on the RTD-Corr model and actual network characteristics,this paper discusses about how to find rich-connected networks inside China Internet which is a typical actual poor-connected network. Then we find rich-connected sub-networks of China Internet through a large-scale network measurement which covers three major ISPs and thirty provinces. At last,based on the founded rich-connected sub-networks,we modify two classical IP geolocation algorithms and the experiments in China Internet show that their accuracy is significantly increased. | DING Shichang LUO Xiangyang YE Dengpan LIU Fenlin | 2017 | Wuhan University Journal of Natural Sciences2017，22，2： | 1 |
| 13 | A review on blind detection for image steganography显示文摘 | Luo Xiangyang WANG Daoshun WANG Ping LIU Fenlin | 2008 | Signal Processing2008，88，9： | 1 |
| 14 | Color Image Steganalysis Based on Residuals of Channel Differences显示文摘This study proposes a color image steganalysis algorithm that extracts highdimensional rich model features from the residuals of channel differences.First,the advantages of features extracted from channel differences are analyzed,and it shown that features extracted in this manner should be able to detect color stego images more effectively.A steganalysis feature extraction method based on channel differences is then proposed,and used to improve two types of typical color image steganalysis features.The improved features are combined with existing color image steganalysis features,and the ensemble classifiers are trained to detect color stego images.The experimental results indicate that,for WOW and S-UNIWARD steganography,the improved features clearly decreased the average test errors of the existing features,and the average test errors of the proposed algorithm is smaller than those of the existing color image steganalysis algorithms.Specifically,when the payload is smaller than 0.2 bpc,the average test error decreases achieve 4%and 3%. | Yuhan Kang Fenlin Liu Chunfang Yang Xiangyang Luo Tingting Zhang | 2019 | Computers, Materials & Continua2019，，4： | 0 |
| 15 | Image Steganalysis Based on Deep Content Features Clustering显示文摘The training images with obviously different contents to the detected images will make the steganalysis model perform poorly in deep steganalysis.The existing methods try to reduce this effect by discarding some features related to image contents.Inevitably,this should lose much helpful information and cause low detection accuracy.This paper proposes an image steganalysis method based on deep content features clustering to solve this problem.Firstly,the wavelet transform is used to remove the high-frequency noise of the image,and the deep convolutional neural network is used to extract the content features of the low-frequency information of the image.Then,the extracted features are clustered to obtain the corresponding class labels to achieve sample pre-classification.Finally,the steganalysis network is trained separately using samples in each subclass to achieve more reliable steganalysis.We experimented on publicly available combined datasets of Bossbase1.01,Bows2,and ALASKA#2 with a quality factor of 75.The accuracy of our proposed pre-classification scheme can improve the detection accuracy by 4.84%for Joint Photographic Experts Group UNIversal WAvelet Relative Distortion(J-UNIWARD)at the payload of 0.4 bits per non-zero alternating current discrete cosine transform coefficient(bpnzAC).Furthermore,at the payload of 0.2 bpnzAC,the improvement effect is minimal but also reaches 1.39%.Compared with the previous steganalysis based on deep learning,this method considers the differences between the training contents.It selects the proper detector for the image to be detected.Experimental results show that the pre-classification scheme can effectively obtain image subclasses with certain similarities and better ensure the consistency of training and testing images.The above measures reduce the impact of sample content inconsistency on the steganalysis network and improve the accuracy of steganalysis. | Chengyu Mo Fenlin Liu Ma Zhu Gengcong Yan Baojun Qi Chunfang Yang | 2023 | Computers, Materials & Continua2023，76，9： | 0 |
| 16 | Automatic Mining of Security-Sensitive Functions from Source Code显示文摘When dealing with the large-scale program,many automatic vulnerability mining techniques encounter such problems as path explosion,state explosion,and low efficiency.Decomposition of large-scale programs based on safety-sensitive functions helps solve the above problems.And manual identification of security-sensitive functions is a tedious task,especially for the large-scale program.This study proposes a method to mine security-sensitive functions the arguments of which need to be checked before they are called.Two argument-checking identification algorithms are proposed based on the analysis of two implementations of argument checking.Based on these algorithms,security-sensitive functions are detected based on the ratio of invocation instances the arguments of which have been protected to the total number of instances.The results of experiments on three well-known open-source projects show that the proposed method can outperform competing methods in the literature. | Lin Chen Chunfang Yang Fenlin Liu Daofu Gong Shichang Ding | 2018 | Computers, Materials & Continua2018，，8： | 0 |
| 17 | Cryptanalysis and Improvement of a Chaotic Map-Control-Based and the Plain Image-Related Cryptosystem显示文摘Due to the characteristics of chaotic systems,different cryptosystems based on chaos have been proposed to satisfy the security of multimedia data.A plain image-related chaotic algorithm is proposed by Luo et al.with high speed and efficiency.Security weaknesses of the cryptosystem are studied in this paper.It is found that the important secret key information is leaked because an important parameter can be obtained after an inverse operation in the last step of the cryptosystems without secret key.Meanwhile,the value zero is processed improperly in quantification algorithm.Based on the weaknesses,chosen plaintext attack on the cryptosystem is proposed,by which,an important parameter,equivalent to secret key,can be calculated with a specific chosen plain image.With the obtained parameter,the plain image of any ciphered image,encrypted by the cryptosystem,can be recovered.Then,an improvement is proposed to solve the problems after modifying the quantification algorithm.It is from the experiments that chosen plaintext attack is valid and improved algorithm possesses better performance. | Bin Lu Fenlin Liu Xin Ge Zhenyu Li | 2019 | Computers, Materials & Continua2019，，8： | 0 |
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