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Constructing the Impossible Differential of Type-II GFN with Boolean Function and Its Application to WARP

Chinese Journal of Electronics 2024年第1期33卷 80-89页

作者： Jiali SHI Guoqiang LIU Chao LI College of Liberal Arts and Sciences National University of Defense Technology Hunan Engineering Research Center of Commercial Cryptography Theory and Technology Innovation State Key Laboratory of Information Security Institute of Information Engineering

Type-Ⅱ generalized Feist el network（GFN） has attracted a lot of attention for its simplicity and high *** differential attack is one of the powerful cryptanalytic approaches for word-oriented block ciphers such as Feistel-like *** deduce the impossible differential of Type-Ⅱ GFN by analyzing the Boolean function in the middle *** main idea is to investigate the expression with the variable representing the plaintext（ciphertext） difference words for the internal state *** adopting the miss-in-the-middle approach,we can construct the impossible differential of Type-Ⅱ *** an illustration,we apply this approach to WARP,a lightweight 128-bit block cipher with a 128-bit key which was presented by Banik et *** SAC *** structure of WARP is a 32-branch Type-Ⅱ ***,we find two 21-round truncated impossible differentials and implement a 32-round key recovery attack on *** the 32-round key recovery attack on WARP,some observations are used to mount an effective *** the advantage of the early abort technique,the data,time,and memory complexities are 2125.69chosen plaintexts,2126.6832-round encryptions,and 2100-bit,*** the best of our knowledge,this is the best attack on WARP in the single-key scenario.

关键词： WARP Feistel cipher Impossible differential attack

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Inexact proximal gradient algorithm with random reshuffling for nonsmooth optimization

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Science China(information Sciences) 2025年第1期68卷 219-237页

作者： Xia JIANG Yanyan FANG Xianlin ZENG Jian SUN Jie CHEN National Key Lab of Autonomous Intelligent Unmanned Systems School of AutomationBeijing Institute of Technology Beijing Institute of Technology Chongqing Innovation Center School of Electronic and Information Engineering Tongji University

Proximal gradient algorithms are popularly implemented to achieve convex optimization with nonsmooth regularization. Obtaining the exact solution of the proximal operator for nonsmooth regularization is challenging because errors exist in the computation of the gradient; consequently, the design and application of inexact proximal gradient algorithms have attracted considerable attention from researchers. This paper proposes computationally efficient basic and inexact proximal gradient descent algorithms with random reshuffling. The proposed stochastic algorithms take randomly reshuffled data to perform successive gradient descents and implement only one proximal operator after all data pass through. We prove the convergence results of the proposed proximal gradient algorithms under the sampling-without-replacement reshuffling *** computational errors exist in gradients and proximal operations, the proposed inexact proximal gradient algorithms can converge to an optimal solution neighborhood. Finally, we apply the proposed algorithms to compressed sensing and compare their efficiency with some popular algorithms.

关键词： proximal operator random reshuffling inexact computation compressed sensing nonsmooth optimization

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LIGHT-YOLOv11: An Efficient S mall Object Detection Model for UAV Images 14

LIGHT-YOLOv11: An Efficient S mall Object Detection Model fo...

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14th IEEE International Conference on Communication Systems and Network Technologies, CSNT 2025

作者： Dewangan, Bhimendra Srinivas, M. Computer Science and Information Security National Institute of Technology Warangal India Computer Science and Engineering National Institute of Technology Warangal India

ISBN: (纸本)9798331531935

Object recognition in UAV images is very challenging due to the frequent appearance of numerous small and truncated entities. Object detection is an essential component of computer vision for accurate object localization and identification in complex and dynamic aerial scenarios. We introduce LIGHT-YOLOv11, a modified object detection model that integrates architectural enhancements to address the specific challenges of aerial imagery. To improve feature extraction and emphasize essential regions, the network’s initial block has been restructured into a Focus Block. Additionally, a Transformer block has been integrated into the backbone, replacing two blocks in the final architecture, to optimize spatial and contextual understanding. With these adjustments, detection accuracy and processing efficiency are remarkably balanced, especially for small and closely spaced objects. In-depth analyses of the VisDrone2019-DET dataset show that LIGHT-YOLOv11 outperforms other popular techniques, producing impressive outcomes across a range of situations. © 2025 IEEE.

关键词： Target drones

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Phishing Classification Based on Text Content of an Email Body Using Transformers

Phishing Classification Based on Text Content of an Email Bo...

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International Conference on information security, Privacy, and Digital Forensics, 2022

作者： Somesha, M. Pais, Alwyn R. Department of Computer Science and Engineering Information Security Research Lab National Institute of Technology Karnataka Surathkal575025 India

ISBN: (纸本)9789819950904

Phishing attacks steal sensitive credentials using different techniques, tools, and some sophisticated methods. The techniques include content injection, information re-routing, social engineering, server hacking, social networking, SMS and WhatsApp mobile applications. To overcome such attacks and minimize risks of such attacks, many phishing detection and avoidance techniques were introduced. Among various techniques, deep learning algorithms achieved the efficient results. In the proposed work, a transformers-based technique is used to classify phishing emails. The proposed method outperformed the other similar mechanisms for the classification of phishing emails. The phishing classification accuracy achieved by the proposed work is 99.51% using open-source datasets. The proposed model is also used to learn and validate the correctness of the in-house created datasets. The obtained results with in-house datasets are equally competitive. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Electronic mail

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TRE-DSP:A traceable and revocable CP-ABE based data sharing scheme for IoV with partially hidden policy

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Digital Communications and Networks 2025年第2期11卷 455-464页

作者： Yousheng Zhou Rundong Peng Yuanni Liu Pandi Vijayakumar Brij Gupta College of Computer Science and Technology Chongqing University of Posts and TelecommunicationsChongqing 400065China College of Cyber Security and Information Law Chongqing University of Posts and TelecommunicationsChongqing 400065China Department of Computer Science and Engineering University College of EngineeringTindivanamMelpakkamTamil nadu 604001India Department of Computer Engineering National Institute of Technology KurukshetraIndia

With the popularity of the Internet of Vehicles(IoV),a large amount of data is being generated every *** to securely share data between the IoV operator and various value-added service providers becomes one of the critical *** to its flexible and efficient fine-grained access control feature,Ciphertext-Policy Attribute-Based Encryption(CP-ABE)is suitable for data sharing in ***,there are many flaws in most existing CP-ABE schemes,such as attribute privacy leakage and key *** paper proposes a Traceable and Revocable CP-ABE-based Data Sharing with Partially hidden policy for IoV(TRE-DSP).A partially hidden access structure is adopted to hide sensitive user attribute values,and attribute categories are sent along with the ciphertext to effectively avoid privacy *** addition,key tracking and malicious user revocation are introduced with broadcast encryption to prevent key *** the main computation task is outsourced to the cloud,the burden of the user side is relatively *** of security and performance demonstrates that TRE-DSP is more secure and practical for data sharing in IoV.

关键词： Privacy-preserving Attribute-based encryption Partially hidden policy Traceability User revocation Internet of vehicles

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Research on the Cross-Correlation Characteristics of Signals from Ocean Bottom Seismometer

Research on the Cross-Correlation Characteristics of Signals...

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2024 OES China Ocean Acoustics, COA 2024

作者： Cao, Dejin Zhang, Haigang Xie, Jinhuai Gao, Xiao College of Underwater Acoustic Engineering Harbin Engineering University National Key Laboratory of Underwater Acoustic Technology Key Lab. of Mar. Info. Acquisition and Security of Ministry of Industry and Information Technology Harbin China

ISBN: (纸本)9798350340297

In this study, considerable differences in waveform between vector signals and acoustic pressure signals were received from the seabed interface. The cross-correlation characteristics between the acoustic pressure and particle velocity signals received via an ocean bottom seismometer were analyzed using experimental data obtained from very low-frequency sound propagation experiments conducted in the South China Sea area. On th basis of the spectral element method, the correlation coefficient of the pressure and particle velocity signals in seawater and seabed interface was simulated and compared with experimental data to validate the cross-correlation characteristics at the seabed interface. Finally, the correlation coefficients between pressure and particle velocity in different types of seabed environments were analyzed. The results reveal that the elastic characteristics of the seabed can have a certain impact on the cross-correlation characteristics of the pressure and particle velocity signals received by an ocean bottom seismometer, which results in a relatively small cross-correlation coefficient between the seabed interface acoustic pressure and horizontal particle velocity signals. © 2024 IEEE.

关键词： Image segmentation

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Differential Fault Analysis on 3DES Middle Rounds Based on Error Propagation

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Chinese Journal of Electronics 2022年第1期31卷 68-78页

作者： MA Xiangliang ZHANG Lizhen WU Liji LI Xia ZHANG Xiangmin LI Bing LIU Yuling School of Integrated Circuits Tsinghua University Beijing National Research Center for Information Science and Technology National Research Center for Information Technology Security Institute of Information Engineering Chinese Academy of Sciences School of Cyber Security University of Chinese Academy of Sciences

Since differential fault analysis(DFA)was first implemented on data encryption standard(DES), many scholars have improved this attack and extended the limit of the original last two rounds to the earlier rounds. However, the performance of the novel attacks which target middle rounds is not effective, i.e. the number of correct/incorrect ciphertexts required is very large and the recovered result maybe not correct. We address this problem by presenting new DFA methods that can break 3 DES when injecting faults at round 12 or *** simulating the process of single-bit error propagation,we have built two kinds of error propagation models as well as an intermediate error propagation state *** we simplify the intermediate states into state templates that will be further used to locate the injected fault position, which is the main difficulty of implementing fault injection in the middle rounds. Finally, in terms of the idea of error propagation and probability theory, we can recover the last round key only using 2 sets of correct/incorrect ciphertexts when inducting fault in the13 th round and 4 sets of correct/incorrect ciphertexts when inducting fault in the 12 th round.

关键词： intermediate error propagation state table probability theory data encryption standard single-bit error propagation fault injection 3DES middle rounds injected fault position cryptography error propagation models DFA methods differential fault analysis state templates inducting fault fault diagnosis error statistics

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Classification of Phishing Email Using Word Embedding and Machine Learning Techniques

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Journal of Cyber security and Mobility 2022年第3期11卷 279-320页

作者： Somesha, M. Pais, Alwyn R. Information Security Research Lab Department of Computer Science and Engineering National Institute of Technology karnataka Karnataka Surathkal575025 India

Email phishing is a cyber-attack, bringing substantial financial damage to corporate and commercial organizations. A phishing email is a special type of spamming, used to trick the user to disclose personal information to access his digital assets. Phishing attack is generally triggered by emailing links to spoofed websites that collect sensitive information. The APWG survey suggests that the existing countermeasures remain ineffective and insufficient for detecting phishing attacks. Hence there is a need for an efficient mechanism to detect phishing emails to provide better security against such attacks to the common user. The existing open-source data sets are limited in diversity, hence they do not capture the real picture of the attack. Hence there is a need for real-time input data set to design accurate email anti-phishing solutions. In the current work, it has been created a real-time in-house corpus of phishing and legitimate emails and proposed efficient techniques to detect phishing emails using a word embedding and machine learning algorithms. The proposed system uses only four email header-based heuristics for the classification of emails. The proposed word embedding cum machine learning framework comprises six word embedding techniques with five machine learning classifiers to evaluate the best performing combination. Among all six combinations, Random Forest consistently performed the best with FastText (CBOW) by achieving an accuracy of 99.50% with a false positive rate of 0.053%, TF-IDF achieved an accuracy of 99.39% with a false positive rate of 0.4% and Count Vectorizer achieved an accuracy of 99.18% with a false positive rate of 0.98% respectively for three datasets used. © 2022 River Publishers.

关键词： Embeddings

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Rectangle Attack Against Type-I Generalized Feistel Structures

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Chinese Journal of Electronics 2022年第4期31卷 713-720页

作者： ZHANG Yi LIU Guoqiang SHEN Xuan LI Chao College of Liberal Arts and Sciences National University of Defense Technology Hunan Engineering Research Center of Commercial Cryptography Theory and Technology Innovation State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences College of Information and Communication National University of Defense Technology

Type-I generalized Feistel networks(GFN) are widely used frameworks in symmetric-key primitive designs such as CAST-256 and Lesamnta. Different from the extensive studies focusing on specific block cipher instances, the analysis against Type-I GFN structures gives generic security evaluation of the basic frameworks and concentrates more on the effect of linear transformation. Currently, works in this field mainly evaluate the security against impossible differential attack,zero-correlation linear attack, meet-in-the-middle attack and yoyo game attack, while its security evaluation against rectangle attack is still missing. In this paper, we filled this gap and gave the first structural analytical results of Type-I GFN against rectangle attack. By exploiting its structural properties, we proved there exists a boomerang switch for Type-I GFN for the first time,which is independent of the round functions. Then we turned the boomerang switch into chosen plaintext setting and proposed a new rectangle attack model. By appending 1 more round in the beginning of the boomerang switch, we constructed a rectangle distinguisher and a key recovery attack could be performed.

关键词： Block cipher structures Rectangle attack Boomerang switch Structural attack Generalized Feistel networks

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NFVDC: A flexible and efficient NFV platform for dynamic service chaining 22

NFVDC: A flexible and efficient NFV platform for dynamic ser...

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22nd IEEE International Symposium on Parallel and Distributed Processing with Applications, ISPA 2024

作者： Lu, Qiuwen Liu, Qingyun Fang, Binxing Chinese Academy of Sciences Institute of Information Engineering Beijing China National Engineering Research Center of Information Security Beijing China University of Chinese Academy of Sciences School of Cyber Security Beijing China Harbin Institute of Technology Shenzhen China

ISBN: (纸本)9798331509712

This paper presents the design and implementation of a novel Network Function Virtualization (NFV) platform, NFVDC, specifically for dynamic service chaining. Unlike traditional service chaining methods, NFVDC supports real-time, reconfigurable service chains that accommodate service functions dynamically joining or leaving the chain. By integrating an advanced traffic steering method, optimized CPU scheduling, and a causal message-passing mechanism, NFVDC addresses challenges in deploying dynamic service chaining, such as traffic steering, resource scheduling, and session state management. Our evaluation demonstrates that NFVDC's forwarding performance nearly doubles compared to existing solutions when extending service chain lengths to six. © 2024 IEEE.

关键词： Message passing

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