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20th International Conference on Information security and Cryptology, Inscrypt 2024

作者： Xu, Wenhao Xian, Hequn College of Computer Science and Technology Qingdao University Qingdao266071 China Key Laboratory of Cyberspace Security Defense Institute of Information Engineering Chinese Academy of Sciences Beijing100085 China Cryptograph and Cyber Security Whampoa Institute Guangzhou510000 China

ISBN: (纸本)9789819647309

In modern relational databases, data security and integrity are crucial, particularly in large-scale, unevenly distributed big data environments. This paper proposes a lossless relational data watermarking scheme based on uneven partitioning, addressing the non-uniformity of data by managing data partitioning within the database. By selecting key attributes and setting appropriate thresholds, data is allocated to partitions of varying sizes and volumes. Different watermark intensities are embedded based on these partitions. Traditional robust watermarking schemes modify carriers to maintain data quality but often lack robustness. To improve this, the proposed scheme uses watermark encoding algorithms to integrate data bits with watermark information, storing the generated auxiliary data. During watermark extraction, the watermark is recovered from this auxiliary data through decoding algorithms. This method enhances watermark capacity by encoding at least one attribute of each data tuple, avoiding original data modifications and common distortion issues. Experimental results show that this scheme, combining uneven partitioning with high-capacity lossless watermarks, offers superior robustness and security compared to traditional methods. It provides an efficient and reliable option for data protection in relational databases, particularly suitable for large-scale and dynamically changing data environments. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Data privacy

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An Industrial Robot Path Planning Method Based on Improved Whale Optimization Algorithm 1

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18th International Conference on Green, Pervasive, and Cloud Computing, GPC 2023

作者： Huang, Peixin Dong, Chen Chen, Zhenyi Zhen, Zihang Jiang, Lei College of Computer and Data Science Fuzhou University Fuzhou350116 China Fuzhou China Department of Computer Science and Engineering University of South Florida TampaFL33620 United States College of Computer and Cyber Security Fujian Normal University Fuzhou350007 China

ISBN: (数字)9789819998937

ISBN: (纸本)9789819998920

With the development of technology, robots are gradually being used more and more widely in various fields. Industrial robots need to perform path planning in the course of their tasks, but there is still a lack of a simple and effective method to implement path planning in complex industrial scenarios. In this paper, an improved whale optimization algorithm is proposed to solve the robot path planning problem. The algorithm initially uses a logistic chaotic mapping approach for population initialization to enhance the initial population diversity, and proposes a jumping mechanism to help the population jump out of the local optimum and enhance the global search capability of the population. The proposed algorithm is tested on 12 complex test functions and the experimental results show that the improved algorithm achieves the best results in several test functions. The algorithm is then applied to a path planning problem and the results show that the algorithm can help the robot to perform correct and efficient path planning. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Industrial robots

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A Proposed Approach for Risk Planning and Management 25

A Proposed Approach for Risk Planning and Management

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25th International Arab Conference on Information Technology, ACIT 2024

作者： Al Refai, Mohammed N. Al-Smadi, Yazan Al-Momani, Adai Jamhawi, Zeyad M. Otoom, Ahmed Ali Atoum, Issa Yaseen, Ahid Ababneh, Jafar Kanan, Mohammad Zarqa University Software Engineering Dep. Zarqa Jordan Zarqa University Department of Computer Science Zarqa Jordan Applied Science Private University Department of Computer Science Amman Jordan Applied Science Private University Department of Cyber Security Amman Jordan Philadelphia University Faculty of Information Technology Software Engineering Department Jordan Zarqa University Department of Cyber Security Zarqa Jordan University of Business and Technelogy Dep. of Industry Engineering Jeddah21432 Saudi Arabia

ISBN: (纸本)9798331540012

Project Risk management is the process of identifying, evaluating, avoiding, or reducing risks. Where there is no software project without risks existence are natural in the context of project planning and management. This study focuses on proposing an enhanced risk management approach where testing phases were added to make the risk management process more effective by proposing solutions to many mistakes and challenges that occur through dealing with risks. The proposed approach focuses on dealing with risks that cannot be easily defined, more accurate risk evaluation, planning, and managing risk coordinated with a contingency plan. © 2024 IEEE.

关键词： Project management

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PtrProxy:Efficient Code Re-Randomization on AArch64 Platform

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China Communications 2025年第6期22卷 64-82页

作者： Luo Chenke Fu Jianming Ming Jiang Xie Mengfei Peng Guojun Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of EducationSchool of Cyber Science and EngineeringWuhan UniversityWuhan 430072China Department of Computer Science Tulane UniversityNew OrleansLA 70118 USA

Memory-unsafe programming languages,such as C/C++,are often used to develop system programs,rendering the programs susceptible to a variety of memory corruption *** these threats,just-in-time return-oriented programming(JIT-ROP)stands out as an advanced method for conducting code-reuse attacks,effectively circumventing code randomization ***-ROP leverages memory disclosure vulnerabilities to obtain reusable code fragments dynamically and assemble malicious payloads *** response to JIT-ROP attacks,several re-randomization implementations have been developed to prevent the use of disclosed ***,existing re-randomization methods require recurrent re-randomization during program runtime according to fixed time windows or specific events such as system calls,incurring significant runtime *** this paper,we present the design and implementation of PtrProxy,an efficient re-randomization approach on the AArch64 *** previous methods that necessitate frequent runtime rerandomization or reply on unreliable triggering conditions,this approach triggers the re-randomization process by detecting the code page harvest operation,which is a fundamental operation of the JIT-ROP at-tacks,making our method more efficient and reliable than previous *** evaluate PtrProxy on benchmarks and real-world *** evaluation results show that our approach can effectively protect programs from JIT-ROP attacks while introducing marginal runtime overhead.

关键词： code reuse attacks re-randomization return-oriented programming security and privacy software security

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Accurate segmentation based on heuristic shape attention for occlusal tooth on CBCT 11

Accurate segmentation based on heuristic shape attention for...

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11th International Conference on Information Technology: IoT and Smart City, ICIT 2023

作者： Cai, Jiancheng Zou, Zheng Wu, Yi Liu, Shijian Liao, Shenghui College of Computer and Cyber Security Fujian Normal University Fuzhou China School of Computer Science and Mathematics Fujian University of Technology Fuzhou China School of Computer Science and Engineering Central South University Changsha China

ISBN: (纸本)9798400709043

Accurate occlusal tooth segmentation for dental CBCT is essential for traumatic occlusal force diagnosis. As tiny multi-objects, adhesion from surrounding touching would largely hinder the correct detection. Especially, the convex and concave occlusal surface appears irregular and unconnected and increase the difficulties for separation. We proposed a three-stage segmentation framework. First, the panoramic view is incorporated for better dental spatial relationship understanding. Second, a tracking based on heuristic shape is specially designed for the adhesions among occlusal crown. Finally, the heuristic shape is further encoded as an attention in an improved 3DUnet to enhance the segmentation accuracy. To get the specific features of our dataset without large-scale samples, we propose a strategy from 2D coarse to 3D fine segmentation to reduce the unnecessary computation. In experiments, comparison and ablation studies demonstrate that our method generates more accurate results and outperforms other three state-of-The-Art segmentations. © 2023 ACM.

关键词： Semantics

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AntiMal: an Approach of Malware Detection Employing Swin Transformer 13

AntiMal: an Approach of Malware Detection Employing Swin Tra...

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13th International Conference on Communication and Network security, ICCNS 2023

作者： Lyu, Chenxi Yao, Yinan Guo, Xiaodong Huang, Zihong Dong, Chen Zhang, Yuanyuan Chen, Zhenyi College of Computer and Data Science Fuzhou University Fuzhou China College of Computer and Cyber Security Fujian Normal University Fuzhou China Department of Computer Science and Engineering University of South Florida FL United States

ISBN: (纸本)9798400707964

In the present era, the menace of malicious software is growing continuously, posing a significant challenge in the realm of cybersecurity. Currently, traditional machine learning algorithms have been widely applied to the analysis of malicious software and are considered effective methods. However, these approaches often require extensive feature engineering, feature learning, and feature representation, which can be time-consuming and resource-intensive. In this paper, a method for the identification of malicious software, named "AntiMal,"is proposed. This method utilizes the Swin Transformer as the backbone network and combines it with image features for static analysis. It leverages the dataset provided by Microsoft for the Kaggle Microsoft Malware Classification Challenge. Initially, it converts the binary data of malicious code into grayscale images, treating every 8 bits as a pixel. Subsequently, it employs PyTorch to build and train the Swin Transformer, classifying the images in the validation set. The results demonstrate that this approach excels in the problem of malicious software classification, achieving an impressive accuracy of up to 95%, showcasing remarkable precision and generalization capabilities. Furthermore, it exhibits significant advantages when dealing with large datasets, requiring fewer computational resources, thus offering exceptional computational efficiency. © 2023 ACM.

关键词： Malware

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Perception System of Autonomous Vehicles: Sophisticated Attacks, Defense Strategies, and Future Directions 15

Perception System of Autonomous Vehicles: Sophisticated Atta...

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15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Neethu, M.R. Remyakrishnan, P. Mukesh, Sa Barath Kumar, J. Royal, Ala Manas Amrita School of Computing Amrita Vishwa Vidyapeetham Department of Computer Science and Engineering Coimbatore641112 India Amrita Vishwa Vidyapeetham TIFAC-CORE in Cyber Security Amrita School of Engineering Coimbatore641112 India

ISBN: (纸本)9798350370249

The advent of autonomous vehicles marks a significant milestone in the evolution of automotive technologies. Central to the operation of autonomous vehicles is the perception system that interprets the surroundings and makes decisions. The security of perception systems against malicious attacks is a critical concern. This work thoroughly analyzes the vulnerabilities inherent in the perception systems of autonomous vehicles, examining the multifaceted threats posed by adversaries. The crucial need for ongoing research in AV security is underscored and a framework for future investigations to develop more secure and trustworthy autonomous vehicles is provided. The analysis emphasizes the importance of a proactive approach to security, advocating for integrating advanced defense mechanisms as a fundamental component of autonomous vehicle design and development and future research challenges. © 2024 IEEE.

关键词： Autonomous Vehicles Camera Lidar Perception Systems security attacks

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Federated Learning with Blockchain for Privacy-Preserving Data Sharing in Internet of Vehicles

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China Communications 2023年第3期20卷 69-85页

作者： Wenxian Jiang Mengjuan Chen Jun Tao School of Cyber Science and Engineering Southeast UniversityNanjing 211189China College of Computer Science and Technology Huaqiao UniversityXiamen 361021China Key Lab of CNII MOESoutheast UniversityNanjing 211189China Purple Mountain Laboratories:Networking Communications and Security Nanjing 211111China

Data sharing technology in Internet of Vehicles(Io V)has attracted great research interest with the goal of realizing intelligent transportation and traffic ***,the main concerns have been raised about the security and privacy of vehicle *** mobility and real-time characteristics of vehicle data make data sharing more difficult in Io *** emergence of blockchain and federated learning brings new *** this paper,a data-sharing model that combines blockchain and federated learning is proposed to solve the security and privacy problems of data sharing in Io ***,we use federated learning to share data instead of exposing actual data and propose an adaptive differential privacy scheme to further balance the privacy and availability of ***,we integrate the verification scheme into the consensus process,so that the consensus computation can filter out low-quality *** data shows that our data-sharing model can better balance the relationship between data availability and privacy,and also has enhanced security.

关键词： blockchain federated learning privacy data sharing Internet of Vehicles

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A Payment Channel Network Fee Allocation Strategy Integrating Auction Theory

A Payment Channel Network Fee Allocation Strategy Integratin...

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2023 IEEE International Conference on Metaverse Computing, Networking and Applications, MetaCom 2023

作者： Zhang, Jingjing Xiao, Shanbin Wu, Weigang Zhou, Jieying Guangdong University of Foreign Studies School of Cyber Security Guangzhou China Sun Yat-sen University School of Computer Science and Engineering Guangzhou China

ISBN: (纸本)9798350333336

The payment channel network is an auspicious approach to improve the blockchain scalability, by allowing multi-hop off-chain payments between any two nodes. Therefore, a good incentive mechanism is very important to encourage nodes to actively assist multi-hop payments. However, the current fee allocation strategies do not allocate the fee reasonably and lacks the actual incentive *** this paper, we introduce the auction theory, and propose the second-price dynamic auction fee allocation strategy. This strategy includes node pricing and fee allocation. Specially, the pricing of nodes is determined by six parts: base fee, proportional fee, skew fee, density fee, time fee and other fees. The nodes in the path obtain fees according to its own bid and the lowest bid and the second lowest bid in the auction. Additionally, we find that there is an incentive explosion problem in the fee allocation strategy determined by intermediate nodes, and proposes a virtual fee mechanism to alleviate this problem. The simulation results show that our second-price dynamic auction fee allocation strategy has more fair allocation performance than the Lightning Network fee allocation strategy, and has the ability to resist incentive explosion. © 2023 IEEE.

关键词： Blockchain

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Volume Hiding Conjunctive Searchable Symmetric Encryption over Cloud 16

Volume Hiding Conjunctive Searchable Symmetric Encryption ov...

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16th International Conference on cyber-Enabled Distributed Computing and Knowledge Discover, cyberC 2024

作者： Deng, Qinghua Chen, Lanxiang Zhu, Yizhao Mu, Yi City University of Macau Faculty of Data Science 999078 China Hanshan Normal University School of Computer and Information Engineering Chaozhou521041 China Fujian Normal University Fujian Provincial Key Laboratory of Network Security and Cryptology College of Computer and Cyber Security Fuzhou China

ISBN: (纸本)9798331506896

Symmetric searchable encryption (SSE) is crucial for promoting cloud storage. It enables users to encrypt private data and outsource it to untrusted servers while retaining query capabilities. To prevent the cloud from obtaining users' private data, researchers have proposed numerous schemes to protect users' privacy. However, the issue of volume hiding has received less attention. Recent studies have demonstrated that volume leakage can be exploited to infer query *** mitigate the aforementioned leakage problem, we introduce an efficient volume-hiding SSE scheme supporting conjunctive queries, denoted as VHXT. The primary strategy for implementing volume hiding comprises two aspects: first, employing a bitmap-based inverted index to obscure the query response length of the least frequent keyword, and second, introducing laconic PSI for efficient membership testing. The laconic PSI enables our scheme to achieve approximately optimal overhead. Moreover, security analysis and performance evaluation demonstrate that VHXT effectively prevents volume leakage with minimal overhead. © 2024 IEEE.

关键词： Information leakage

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