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38th International Symposium on Distributed Computing, DISC 2024

作者： Kshemkalyani, Ajay D. Kumar, Manish Molla, Anisur Rahaman Sharma, Gokarna Department of Computer Science University of Illinois ChicagoIL United States Department of Computer Science Engineering Indian Institute of Technology Madras India R. C. Bose Centre for Cryptology and Security Indian Statistical Institute Kolkata India Department of Computer Science Kent State University OH United States

ISBN: (纸本)9783959773522

Leader election is one of the fundamental and well-studied problems in distributed computing. In this paper, we initiate the study of leader election using mobile agents. Suppose n agents are positioned initially arbitrarily on the nodes of an arbitrary, anonymous, n-node, m-edge graph G. The agents relocate themselves autonomously on the nodes of G and elect an agent as a leader such that the leader agent knows it is a leader and the other agents know they are not leaders. The objective is to minimize time and memory requirements. Following the literature, we consider the synchronous setting in which each agent performs its operations synchronously with others and hence the time complexity can be measured in rounds. The quest in this paper is to provide solutions without agents knowing any graph parameter, such as n, a priori. We first establish that, without agents knowing any graph parameter a priori, there exists a deterministic algorithm to elect an agent as a leader in O(m) rounds with O(n log n) bits at each agent. Using this leader election result, we develop a deterministic algorithm for agents to construct a minimum spanning tree of G in O(m + n log n) rounds using O(n log n) bits memory at each agent, without agents knowing any graph parameter a priori. Finally, using the same leader election result, we provide improved time/memory results for other fundamental distributed graph problems, namely, gathering, maximal independent set, and minimal dominating sets, removing the assumptions on agents knowing graph parameters a priori. © Ajay D. Kshemkalyani, Manish Kumar, Anisur Rahaman Molla, and Gokarna Sharma.

关键词： Trees (mathematics)

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The Polar CenterNet for Radar Signal Identification 4

The Polar CenterNet for Radar Signal Identification

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4th International Conference on Intelligent Information Processing, IIP 2022

作者： Wang, Lin Mi, Siya Tian, Ye Wang, Fengsheng He, Shen Southeast University School of Cyber Science and Engineering Nanjing China Institute of China Mobile Communications Corporation Department of Security Technology Research Beijing China

ISBN: (纸本)9781665492225

The radar signal sorting is important in the reconnaissance phase of electronic battlefield, and its performance affects the subsequent decision for the situational awareness seriously. With the wide adoption of various types of radars, the electromagnetic environment is more complex than ever. In this paper, a dynamic multi-parameter processing technique based on CenterNet is proposed. The proposed method can map the pulse description words (PDW) as dots in PDW polar diagram, then the radar pulse can be sorted by identifying the PDW dots using the improved CenterNet. The detected pulse signals are identified to prove the proposed method, and 97.74% accuracy can be achieved. Moreover, the proposed method provides a PDW visualization approach for the complex application scenarios. © 2022 IEEE.

关键词： Image classification

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Comparative Analysis of Data Dynamics Based on Wavelet Coherence Using Higher-Order Moments 2

Comparative Analysis of Data Dynamics Based on Wavelet Coher...

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2nd International engineering Conference on Electrical, Energy, and Artificial Intelligence, EICEEAI 2023

作者： Al-Sharo, Yasser Abu-Jassar, Amer Vasiurenko, Oleg Lyashenko, Vyacheslav Ajloun National University Faculty of Information Technology Department of Cyber Security Ajloun Jordan Ajloun National University Faculty of Information Technology Department of Computer Science Ajloun Jordan Kyiv University of Intellectual Property and Law Department of Cybersecurity It and Economics Kyiv Ukraine Kharkiv National University of Radio Electronics Department of Media Systems and Technology Kharkiv Ukraine

ISBN: (纸本)9798350373363

The article addresses the challenges of analyzing data represented as time series, depicting the evolution of a specific process, phenomenon, or object over time. Special emphasis is placed on conducting a comparative analysis of the dynamics among different data sets;so, to achieve this, a method for estimating wavelet coherence is employed. The approach includes transforming the original data through a sliding sampling window using higher-order moments to capture the memory effect. This methodology enables the assessment of dynamics in extensive data sets, thereby enhancing the efficiency of processing and analysis. The article presents results based on real data, providing an additional evaluation of their mutual dynamics. The findings affirm the reliability and effectiveness of such an analysis. © 2023 IEEE.

关键词： Dynamics

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Protecting Sensitive Data in the Cloud: A Network security Approach 15

Protecting Sensitive Data in the Cloud: A Network Security A...

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

作者： Mohammed, Abdul Sajid Sreeramulu, Madhusudhan Dasari Gopal, Santhosh Kumar Gupta, Ketan Anand Kumar, V. University of the Cumberlands Dept of School of Computer and Information Sciences KY United States American Express Dept of Cyber Security United States Charlotte NC United States University of The Cumberlands Dept. of Information Technology WilliamsburgKY United States Sri Eshwar College of Engineering Department of Ece Tamil Nadu Coimbatore641202 India

ISBN: (纸本)9798350370249

Cloud Computing adoption has increased dramatically over the past few years, making the protection of sensitive data on the cloud a major concern. In this paper network security is presented as an effective way to ensure the security of data on the cloud using methods like encryption, access control, and DLP. The method concentrates on the security of the network infrastructure, and also the internal cloud environment security controls. This methodology combines internal and external security measures to provide an overall protection of data housed in the cloud. Conclusions The work is mainly intended to increase the understanding of the need for network security and shielding data in the cloud, and someways to enhance data security in the cloud for businesses and organizations. © 2024 IEEE.

关键词： Cloud Computing Data Privacy Encryption Network security Protection

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Ethereum smart contract security research:survey and future research opportunities

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Frontiers of computer Science 2021年第2期15卷 143-160页

作者： Zeli WANG Hai JIN Weiqi DAI Kim-Kwang Raymond CHOO Deqing ZOU National Engineering Research Center for Big Data Technology and System Services Computing Technology and System LabClusters and Grid Computing LabHubei Engineering Research Center on Big Data SecurityWuhan430074China School of Computer Science and Technology Huazhong University of Science and TechnologyWuhan430074China School of Cyber Science and Engineering Huazhong University of Science and TechnologyWuhan430074China Shenzhen Huazhong University of Science and Technology Research Institute Shenzhen518057China Department of Information Systems and Cyber Security University of Texas at San AntonioSan AntonioTX78249-0631USA

Blockchain has recently emerged as a research trend,with potential applications in a broad range of industries and *** particular successful Blockchain technology is smart contract,which is widely used in commercial settings(e.g.,high value financial transactions).This,however,has security implications due to the potential to financially benefit from a security incident(e.g.,identification and exploitation of a vulnerability in the smart contract or its implementation).Among,Ethereum is the most active and ***,in this paper,we systematically review existing research efforts on Ethereum smart contract security,published between 2015 and ***,we focus on how smart contracts can be maliciously exploited and targeted,such as security issues of contract program model,vulnerabilities in the program and safety consideration introduced by program execution *** also identify potential research opportunities and future research agenda.

关键词： smart contract security blockchain vulnerability unreliable data

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Differential Region-Based Segmentation Method for Brain Tumor Detection using Computed Tomography Images

Differential Region-Based Segmentation Method for Brain Tumo...

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IEEE International Conference on System, Computation, Automation and Networking (ICSCAN)

作者： G. Balamurugan R. Kaviarasan R. Kalaiyarasan Department of Computing Technologies SRM Institute of Science and Technology Kattankulathur Campus Chengalpattu TamilNadu India Department of Computer Science and Engineering (Cyber Security) RGM College of Engineering and Technology Nandyal India Department of ECE Sri Manakula Vinayagar Engineering College Puducherry

ISBN: (数字)9798331510022

ISBN: (纸本)9798331510039

Brain malignant growth detection is eased using medical images and machine learning paradigms. This article introduces a differential region-based segmentation method to improve brain tumor detection precision from computerized tomography inputs. The proposed method relies on neural networks for different region detection and segmentation. The neural network is trained using the different connecting regional conditions. Based on the learning iterations the region matching conditions are verified to ensure maximum segments are identified. Thus this proposed method improves accuracy and precision by 15.48% and 12.59% for the different features.

关键词： Training Image segmentation Accuracy Computed tomography Brain tumors Machine learning Feature extraction Biological neural networks Cancer Biomedical imaging

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Privacy engineering in the Wild: Understanding the Practitioners' Mindset, Organizational Aspects, and Current Practices

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IEEE Transactions on Software engineering 2023年第9期49卷 4324-4348页

作者： Iwaya, Leonardo Horn Babar, Muhammad Ali Rashid, Awais JoondalupWA6027 Australia Research Group Department of Mathematics and Computer Science Karlstad65188 Sweden The University of Adelaide Centre for Research on Engineering Software Technologies AdelaideSA5005 Australia University of Bristol Bristol Cyber Security Group REPHRAIN: National Research Centre on Privacy Harm Reduction and Adversarial Influence Online Department of Computer Science BristolBS8 1QU United Kingdom

Privacy engineering, as an emerging field of research and practice, comprises the technical capabilities and management processes needed to implement, deploy, and operate privacy features and controls in working systems. For that, software practitioners and other stakeholders in software companies need to work cooperatively toward building privacy-preserving businesses and engineering solutions. Significant research has been done to understand the software practitioners' perceptions of information privacy, but more emphasis should be given to the uptake of concrete privacy engineering components. This research delves into the software practitioners' perspectives and mindset, organizational aspects, and current practices on privacy and its engineering processes. A total of 30 practitioners from nine countries and backgrounds were interviewed, sharing their experiences and voicing their opinions on a broad range of privacy topics. The thematic analysis methodology was adopted to code the interview data qualitatively and construct a rich and nuanced thematic framework. As a result, we identified three critical interconnected themes that compose our thematic framework for privacy engineering 'in the wild': (1) personal privacy mindset and stance, categorised into practitioners' privacy knowledge, attitudes and behaviours;(2) organizational privacy aspects, such as decision-power and positive and negative examples of privacy climate;and, (3) privacy engineering practices, such as procedures and controls concretely used in the industry. Among the main findings, this study provides many insights about the state-of-the-practice of privacy engineering, pointing to a positive influence of privacy laws (e.g., EU General Data Protection Regulation) on practitioners' behaviours and organizations' cultures. Aspects such as organizational privacy culture and climate were also confirmed to have a powerful influence on the practitioners' privacy behaviours. A conducive environment f

关键词： Data privacy

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cyberbullying in Digital Era: History, Trends, Limitations, Recommended Solutions for Future

Cyberbullying in Digital Era: History, Trends, Limitations, ...

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2023 International Conference on computer Communication and Informatics, ICCCI 2023

作者： Nair, Meghna Manoj Fernandez, Terrance Frederick Tyagi, Amit Kumar Vellore Institute of Technology School of Computer Science and Engineering Chennai Campus Tamilnadu Chennai600127 India Saveetha School of Engineering Department of Information Security TN Chennai India National Institute of Fashion Technology New Delhi Department of Fashion Technology Delhi India

ISBN: (纸本)9798350348217

The digital and virtual world has taken a toll on the lives of the vast majority of the population across the globe. Even though it has resulted in numerous technological advancements and has enhanced the scope of socialising and staying connected with people from different parts of the earth, it has a variety of drawbacks and negative aspects which seem to dwindle the affected person both physically and mentally. One such adversity is the reality of cyberbullying, which millions of people who extensively use digital platforms and social media are exposed to. cyberbullying is a very broad field of adversity and pressing concern in the twenty-first century, especially since it's the digital era. cyberbullying occurs in varied forms and affects people in numerous ways with different intensities. It includes cracking into an individual's profile, posting unnecessary comments to defame people, malicious use of social media platforms, etc. Techniques and algorithms to bring a halt to cyberbullying are one of the primary areas researchers and programmers need to focus on. In the earlier stages of the digital era, cyberbullying was considered to be an event of the occurrence of a mishap due to peer pressure. As virtual platforms evolved massively, cyberbullying has taken the spotlight resulting in the harassment of naive individuals. The fact that there's an absence of face-to-face confrontation has complemented the cruel aims and deeds of cyberbullies. cyberbullies have initiated the use of technology in the disguise of a weapon to humiliate and hamper the growth and success of people out there. Another trend that has been closely observed is the conversion transition and huge jump from physical bullying to cyberbullying wherein, social media and similar digital tenets which were meant to play a positive role in the lives of people started amplifying the negativities of virtual bullying. This chapter talks about how cyberbullying has evolved over the decades, the limitati

关键词： Social networking (online)

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Smart Detection Framework for Rapid Emergency Response

Smart Detection Framework for Rapid Emergency Response

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Sustainable Computing and Smart Systems (ICSCSS), International Conference on

作者： Arjun S Bhuvaneshwari E Sundara Rajulu Navaneethakrishnan Sathish Kumar P. J Surendran R Department of Cyber Security Chennai Institute of Technology Chennai India Department of Computer Science and Engineering Dhanalakshmi Srinivasan University Trichy Tiruchirappalli India Department of Computer Science and Engineering Panimalar Engineering College Chennai India Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai India

ISBN: (数字)9798350379990

ISBN: (纸本)9798350391558

Specialized algorithms for object detections have made the most progress in the field of computer vision. This study showcases the most recent approach to the development of emergency detection for human and vehicle and is intended for emergency scenarios. The proposed system is able to differentiate many vehicles, e.g., ambulances and fire engines as well as to recognize the human beings. The proposed model integrates advanced deep learning infrastructure and strategies to have fast and precise detection outputs. Finally, a multitude of testing techniques in real-life situations are used to prove the systems' efficiency and robustness. They illustrate how the developed technology can be used for the betterment of emergency response operations.

关键词： Deep learning computer vision Disasters Neural networks Object detection Emergency services Robustness

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Cyclic and Negacyclic Sum-Rank Codes

arXiv

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arXiv 2024年

作者： Chen, Hao Ding, Cunsheng Cheng, Zhiqiang Xie, Conghui The College of Information Science and Technology/Cyber Security Jinan University Guangdong Province Guangzhou510632 China The Department of Computer Science and Engineering The Hong Kong University of Science and Technology Hong Kong

Sum-rank codes have known applications in the multishot network coding, the distributed storage and the construction of space-time codes. U. Martínez-Peñas introduced the cyclic-skew-cyclic sum-rank codes and proposed the BCH bound on the cyclic-skew-cyclic sum-rank codes in his paper published in IEEE Trans. Inf. Theory, vol. 67, no. 8, 2021. Afterwards, many sum-rank BCH codes with lower bounds on their dimensions and minimum sum-rank distances were constructed. Sum-rank Hartmann-Tzeng bound and sum-rank Roos bound on cyclic-skew-cyclic codes were proposed and proved by G. N. Alfarano, F. J. Lobillo, A. Neri, and A. Wachter-Zeh in 2022. In this paper, cyclic, negacyclic and constacyclic sum-rank codes are introduced and a direct construction of cyclic, negacyclic and constacyclic sum-rank codes of the matrix size m × m from cyclic, negacyclic and constacyclic codes over Fqm in the Hamming metric is proposed. The cyclic-skew-cylic sum-rank codes are special cyclic sum-rank codes. In addition, BCH and Hartmann-Tzeng bounds for a type of cyclic sum-rank codes are developed. Specific constructions of cyclic, negacyclic and constacyclic sum-rank codes with known dimensions and controllable minimum sum-rank distances are proposed. Moreover, many distance-optimal binary sum-rank codes and an infinite family of distance-optimal binary cyclic sum-rank codes with minimum sum-rank distance four are constructed. This is the first infinite family of distance-optimal sum-rank codes with minimum sum-rank distance four in the literature. © 2024, CC BY-NC-ND.

关键词： Network coding

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