Article
Computer Science, Information Systems
Heping Wen, Ruiting Chen, Jieyi Yang, Tianle Zheng, Jiahao Wu, Wenxing Lin, Huilin Jian, Yiting Lin, Linchao Ma, Zhen Liu, Chongfu Zhang
Summary: This study conducts a cryptographic security analysis on a color image encryption algorithm, finding that the algorithm can be completely cracked by a chosen-plaintext attack method due to equivalent keys and simplified linear transformation. Experimental results confirm the effectiveness and efficiency of our method.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Computer Science, Interdisciplinary Applications
Noor Munir, Majid Khan, Sajjad Shaukat Jamal, Mohammad Mazyad Hazzazi, Iqtadar Hussain
Summary: This study conducted a cryptanalysis of a hybrid secure image encryption scheme based on Julia set and three-dimensional Lorenz chaotic system through a chosen-plaintext attack, revealing vulnerabilities in the system's reliance on only multiplication and bitwise XOR operation.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2021)
Article
Engineering, Mechanical
Wanqing Wu, Qiao Wang
Summary: Cryptanalysis plays a crucial role in the design of image cryptographic systems. In this study, a two-round image cryptographic system was analyzed and found to have vulnerabilities that allowed successful decryption of encrypted images through chosen-plaintext attacks. The encryption scheme was improved to enhance security, and the improved system demonstrated better resilience against chosen-plaintext attacks while maintaining the same encryption performance as the original scheme.
NONLINEAR DYNAMICS
(2023)
Article
Physics, Multidisciplinary
Qinmao Jiang, Simin Yu, Qianxue Wang
Summary: This paper examines the security of an image encryption algorithm based on a two-dimensional hyperchaotic map. Despite claims by the proposer, it was found that the algorithm is vulnerable to chosen plaintext attacks. The paper presents theoretical and experimental results to support the proposed attack's efficiency and provides suggestions for improvement.
Article
Physics, Multidisciplinary
Shuqin Zhu, Congxu Zhu, Hanyu Yan
Summary: This article analyzes an image encryption algorithm and identifies its vulnerability. It is found that the equivalent key streams can be cracked through a chosen-plaintext attack, resulting in decoding the original chaotic encryption algorithm. Finally, an improved algorithm is proposed to overcome this defect, providing resistance against chosen-plaintext attacks and achieving the encryption effect of a one-time pad.
Article
Computer Science, Information Systems
Noor Munir, Majid Khan, Abd Al Karim Haj Ismail, Iqtadar Hussain
Summary: The study introduces an encryption technique based on chaotic maps and Brownian motion, claiming security through statistical analysis, but vulnerabilities were exposed through cryptographic attacks. An improved scheme is proposed using different maps and Brownian motion to enhance security levels.
MULTIMEDIA TOOLS AND APPLICATIONS
(2022)
Article
Optics
Noor Munir, Majid Khan, Iqtadar Hussain, Muhammad Amin
Summary: Wireless multimedia communications have made significant progress in recent years, leading to an increasing demand for more secure media transmission to protect multimedia information. Image encryption systems based on chaotic maps are considered the most secure and trustworthy, due to the inherent properties in such types of multimedia contents. This research performed differential cryptanalysis on a cryptosystem based on a 3D logistic map and 3D Cat map, and successfully proposed a cryptanalysis attack by exploiting vulnerabilities in the studied cryptosystem.
Article
Computer Science, Information Systems
Ali Shakiba
Summary: This paper introduces a novel randomized chaotic asymmetric-key algorithm for color image encryption which uses a multiplicative coupled Chebyshev-based encryption algorithm for establishing chaotic keys and permuting pixel values to resist chosen plaintext attacks. The experimental results show that the proposed algorithm has a large keyspace, good security level, and acceptable robustness.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2021)
Article
Physics, Multidisciplinary
Haiju Fan, Chenjiu Zhang, Heng Lu, Ming Li, Yanfang Liu
Summary: A new chaotic image encryption technique based on multiple discrete dynamic maps was proposed recently, claiming to provide excellent privacy for traditional digital images. However, through cryptanalysis, it was found that there is no strong correlation between the key and the plain image, leading to the collapse of the cryptosystem. As a result, two chosen-plaintext attack methods were proposed to break the encryption system, requiring a certain number of pairs of plain and cipher images. Simulation results showed the effectiveness of these two schemes.
Article
Computer Science, Information Systems
Roayat Ismail Abdelfatah
Summary: This paper introduces a self-adaptive encryption scheme to efficiently protect quantum images using pseudorandom number sequences. By combining chaotic maps and hash functions, the scheme achieves a large key space and adapts to various attacks, making it robust and secure.
Article
Computer Science, Information Systems
Imad El Hanouti, Hakim El Fadili, Khalid Zenkouar
Summary: The paper describes a novel image encryption based on Arnold scrambling and Lucas series, demonstrating its robustness through various statistical tests. It also suggests the need for deep cryptanalysis of new cryptosystems to ensure their reliability in real-world applications.
MULTIMEDIA TOOLS AND APPLICATIONS
(2021)
Article
Computer Science, Artificial Intelligence
Ming Li, Pengcheng Wang, Yange Yue, Yanfang Liu
Summary: A new secure image encryption scheme based on a novel 2D sine-cosine cross-chaotic map was proposed, claiming to resist all existing cryptanalytic attacks. However, vulnerabilities in the original cryptosystem were found, leading to successful cracking by chosen-plaintext attack. Two efficient attack schemes were proposed, with simulation and experimental results verifying their effectiveness.
JOURNAL OF REAL-TIME IMAGE PROCESSING
(2021)
Article
Optics
Amit Arora, Rajendra K. Sharma
Summary: The Skew Tent Map (STM) has been enhanced for designing an image encryption scheme, but was found to be vulnerable to a known plain-text attack (KPA). By improving the scheme, it is able to resist KPA while maintaining its original properties.
Article
Computer Science, Information Systems
Ammar S. Alanazi, Noor Munir, Majid Khan, Muhammad Asif, Iqtadar Hussain
Summary: The article introduces an image encryption technique based on multiple chaotic S-boxes, highlighting its vulnerability that can be exploited through chosen attacks. Two cryptographic attacks are proposed, successfully retrieving the key using a chosen image. Statistical analysis is then applied to verify the correctness of the recovered data.
Article
Computer Science, Information Systems
Noor Munir, Majid Khan, Mohammad Mazyad Hazzazi, Amer Aijaedi, Abd Al Karim Haj Ismail, Adel R. Alharbi, Iqtadar Hussain
Summary: This paper discusses security flaws in an encryption technique based on a chaotic map for IoHT security, retrieves the key through cryptographic attacks, and suggests improvements for enhancing the security of the cryptographic algorithm.
Article
Engineering, Electrical & Electronic
Zou Deyue, Gao Siyu, Li Xinyue, Zhao Wanlong
Summary: In this paper, an integrated navigation/communication signal is proposed by combining Cyclic Code Shift Keying (CCSK) as a communication signal with traditional Global Navigation Satellite System (GNSS) signal. A fuzzy judging algorithm and segmenting correlation domain are used to improve the transmission robustness of the integrated signal. Additionally, a strategy is proposed to solve the incompatibility problem between the integrated signal and binary communication system using interleaving coding and dual-thresholds optimization. The proposed algorithm significantly improves the fault-tolerant rate and reduces the Bit Error Rate (BER), enhancing the reliability of the communication system.
DIGITAL SIGNAL PROCESSING
(2024)
Article
Engineering, Electrical & Electronic
Guoxing Huang, Yunfei Xiang, Shibiao Deng, Yu Zhang, Jingwen Wang
Summary: This paper proposes a dual-channel cooperative sub-Nyquist sampling system for LFM-BPSK hybrid modulated signal. The system can solve the frequency ambiguity problem caused by low sampling rate and estimate the phases of binary symbols and the positions of discontinuities through self-mixing technology.
DIGITAL SIGNAL PROCESSING
(2024)
Article
Engineering, Electrical & Electronic
A. Yousefian Darani, Y. Khedmati Yengejeh, G. Navarro, H. Pakmanesh, J. Sharafi
Summary: The development and use of network technology have brought society into the internet world, where communication through digital data takes place. However, the protection of digital resources has become a significant challenge, which steganography is seen as a possible solution for. This paper presents an image steganography algorithm that hides a grayscale secret image within an RGB color cover image, with a genetic algorithm used to optimize the selection of suitable hiding places. The proposed method is empirically demonstrated to be effective in terms of transparency, security, and resistance.
DIGITAL SIGNAL PROCESSING
(2024)
Article
Engineering, Electrical & Electronic
Xiao Tan, Zhiwei Yang, Xianghai Li, Yongfei Mao, Di Jiang
Summary: A novel gridless SR-STAP algorithm applicable to a non-ULA with AAPEs is proposed in this study. By establishing the ANM-STAP model and iteratively updating the clutter subspace and AAPEs, the performance of STAP is improved.
DIGITAL SIGNAL PROCESSING
(2024)
Article
Engineering, Electrical & Electronic
Irfan Manisali, Okyanus Oral, Figen S. Oktem
Summary: In this paper, a novel non-iterative deep learning-based reconstruction method for real-time near-field MIMO imaging is proposed. The method achieves high image quality with low computational cost at compressive settings through two stages of processing. A large-scale dataset is also developed for training the neural networks. The effectiveness of the method is demonstrated through experimental data and extensive simulations.
DIGITAL SIGNAL PROCESSING
(2024)
Article
Engineering, Electrical & Electronic
Haibin Li, Dengchao Wu, Wenming Zhang, Cunjun Xiao
Summary: Workplace safety accidents are a pervasive issue worldwide, with 67.95% of construction accidents attributed to the lack of helmet-wearing. Existing helmet detection algorithms suffer from underperformance in real-world scenarios due to various challenges. This study introduces a lightweight helmet detection algorithm, YOLO-PL, which achieves state-of-the-art performance by optimizing network structure and incorporating lightweight modules.
DIGITAL SIGNAL PROCESSING
(2024)
Article
Engineering, Electrical & Electronic
Fen Liu, Jianfeng Chen, Kemeng Li, Jisheng Bai, Weijie Tan, Chang Cai, Muhammad Saad Ayub
Summary: In this paper, a semi-tensor product-based multi-modal factorized multilinear (STP-MFM) pooling method is proposed for information fusion in sentiment analysis. Experimental results demonstrate that the proposed method outperforms baselines in terms of accuracy, training speed, and model complexity.
DIGITAL SIGNAL PROCESSING
(2024)
Article
Engineering, Electrical & Electronic
Xiaoyu Zhao, Xiaoqian Chen, Zhiqiang Gong, Wen Yao, Yunyang Zhang, Xiaohu Zheng
Summary: In this paper, a contrastive enhancement approach is proposed to mine latent prototypes from background regions and leverage latent classes to improve the utilization of similarity information between prototype and query features. The proposed modules, including a latent prototype sampling module and a contrastive enhancement module, significantly improve the performance of state-of-the-art methods for few-shot segmentation.
DIGITAL SIGNAL PROCESSING
(2024)
Article
Engineering, Electrical & Electronic
Xiaoyong Lyu, Baojin Liu, Wenbing Fan, Zhi Quan
Summary: This paper provides an in-depth analysis of the channel estimate model (CEM) in passive radar using orthogonal frequency division multiplexing (OFDM) waveforms. The authors propose a new CEM that takes into consideration the influence of inter-carriers interference (ICI). The theoretical analysis and simulation results support the effectiveness of the new CEM and the proposed method for canceling ICI.
DIGITAL SIGNAL PROCESSING
(2024)
Article
Engineering, Electrical & Electronic
Ruisheng Rana, Jinping Wang, Bin Fang, Weiming Yang
Summary: This paper introduces an improved neighborhood preserving embedding method (NPEAE), which utilizes a linear autoencoder to achieve more accurate and effective data projection from high-dimensional space to low-dimensional space. NPEAE performs better in recognition accuracy compared to other comparative methods.
DIGITAL SIGNAL PROCESSING
(2024)
Article
Engineering, Electrical & Electronic
Yuehao Guo, Xianpeng Wang, Jinmei Shi, Lu Sun, Xiang Lan
Summary: This article presents a fast real-valued tensor propagator method for FDA-MIMO radar. The method improves estimation accuracy by utilizing the original structural information of multidimensional data and eliminates the high computational complexity of high-order singular value decomposition. The proposed algorithm achieves parameter estimation at low snapshots and has lower computational complexity than other algorithms at high snapshots.
DIGITAL SIGNAL PROCESSING
(2024)
Article
Engineering, Electrical & Electronic
Bang Huang, Wen-Qin Wang, Weijian Liu, Shunsheng Zhang, Yizhen Jia
Summary: This paper studies the robust moving target detection problem in FDA-MIMO radar with an unknown covariance matrix in Gaussian clutter. The proposed approach adopts the subspace method and proposes three robust adaptive detectors, which are validated to be effective.
DIGITAL SIGNAL PROCESSING
(2024)
Article
Engineering, Electrical & Electronic
Asutosh Kar
Summary: In this paper, a class of variable step size adaptive algorithms is developed for hybrid narrow-band active noise control (HNANC) systems and compared with the existing state-of-the-art methods. Two algorithms are proposed for HNANC systems operating in multiple noise environments, and their performance is analyzed. The results demonstrate significant improvement in noise reduction compared to the counterparts.
DIGITAL SIGNAL PROCESSING
(2024)
Article
Engineering, Electrical & Electronic
Shouqi Wang, Zhigang Feng
Summary: With the rapid development of artificial intelligence and sensor technology, intelligent fault diagnosis methods based on deep learning are widely used in industrial production. In practical applications, complex noise environments and huge model parameters affect the performance and cost-effectiveness of diagnostic models. In this paper, a lightweight intelligent fault diagnosis model using multi-sensor data fusion is proposed to address these issues. By processing vibration signals from different sensors of rolling bearings using variational mode decomposition (VMD) and designing unique grayscale feature maps based on each intrinsic modal function (IMF) component, the proposed model achieves high accuracy diagnosis in noisy environments while meeting the requirements of small, light, and fast production. The ultra-lightweight GoogLeNet model (ULGoogLeNet) is constructed by adjusting the traditional GoogLeNet structure, and the ultra-lightweight subspace attention module (ULSAM) is introduced to reduce model parameters and enhance feature extraction capability. Experimental results on two datasets demonstrate the effectiveness and superiority of the proposed method.
DIGITAL SIGNAL PROCESSING
(2024)
Article
Engineering, Electrical & Electronic
Jichen Yang, Fangfan Chen, Yu Cheng, Pei Lin
Summary: Recently, there has been significant attention on multi-speaker multimedia speaker recognition (MMSR). This study explores innovative techniques for integrating audio and visual cues from the front-end representations of both speaker's voice and face. Experimental results show that these techniques achieve considerable improvements in the performance of MMSR.
DIGITAL SIGNAL PROCESSING
(2024)