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An Improved Multi-Objective Particle Swarm Optimization Routing on MANET

Computer systems Science & Engineering 2023年第2期44卷 1187-1200页

作者： G.Rajeshkumar M.Vinoth Kumar K.Sailaja Kumar Surbhi Bhatia Arwa Mashat Pankaj Dadheech Department of Computer Science and Engineering Erode Sengunthar Engineering CollegePerunduraiErode638057Tamil NaduIndia Department of Information Science and Engineering Dayananda Sagar Academy of Technology and ManagementBangalore560082India Department of Master of Computer Applications M.S.Ramaiah Institute of TechnologyBangalore560054India Department of Information Systems College of Computer Science and Information TechnologyKing Faisal UniversityRiyadh11533Saudi Arabia Faculty of Computing and Information Technology King Abdulaziz UniversityRabigh21911Saudi Arabia Department of Computer Science and Engineering Swami Keshvanand Institute of TechnologyManagement&GramothanJaipur302017RajasthanIndia

A Mobile Ad hoc Network(MANET)is a group of low-power con-sumption of wireless mobile nodes that conﬁgure a wireless network without the assistance of any existing infrastructure/centralized *** primary aim of MANETs is to extendﬂexibility into the self-directed,mobile,and wireless domain,in which a cluster of autonomous nodes forms a MANET routing *** Intrusion Detection System(IDS)is a tool that examines a network for mal-icious behavior/policy violations.A network monitoring system is often used to report/gather any suspicious attacks/*** IDS is a software program or hardware system that monitors network/security trafﬁc for malicious attacks,sending out alerts whenever it detects malicious *** impact of Dynamic Source Routing(DSR)in MANETs challenging blackhole attack is investigated in this research *** Cluster Trust Adaptive Acknowledgement(CTAA)method is used to identify unauthorised and malfunctioning nodes in a MANET *** system is active and provides successful delivery of a data packet,which implements Kalman Filters(KF)to anticipate node ***,KF is used to eliminate synchronisation errors that arise during the sending and receiving *** order to provide an energy-efﬁcient solution and to minimize network trafﬁc,route optimization in MANET by using Multi-Objective Particle Swarm Optimization(MOPSO)technique to determine the optimal num-ber of clustered MANET along with energy dissipation in *** to the researchﬁndings,the proposed CTAA-MPSO achieves a Packet Delivery Ratio(PDR)of 3.3%.In MANET,the PDR of CTAA-MPSO improves CTAA-PSO by 3.5%at 30%malware.

关键词： MANET intrusion detection system cluster kalmanﬁlter dynamic source routing multi-objective particle swarm optimization packet delivery ratio

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${\sf GoCrowd}$GoCrowd: Obliviously Aggregating Crowd Wisdom With Quality Awareness in Crowdsourcing

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IEEE Transactions on Dependable and Secure computing 2024年第1期22卷 710-722页

作者： Xiaoning Liu Yifeng Zheng Xingliang Yuan Xun Yi School of Computing Technologies RMIT University Melbourne VIC Australia School of Computer Science and Technology Harbin Institute of Technology Shenzhen Guangdong China School of Computing and Information Systems University of Melbourne Melbourne VIC Australia

Organizations these days capitalize on crowdsourcing to learn collective wisdom from a population of individuals. Vast amounts of data have been gathered, making the crowdsourcing platforms a lucrative target to steal data from and thus raising severe privacy concerns. Data contributed by workers may carry sensitive individual information. Meanwhile, organizations deem the aggregate statistics as intellectual property. In this paper, we propose, design, and evaluate GoCrowd, a system framework for obliviously aggregating wisdom with quality assurance in crowdsourcing. At its core, we propose constructions for two procedures. The starting point is a gold-standard based private worker quality control procedure that provides privacy-friendly worker quality assurance under the widely popular gold-standard mechanism. The subsequent procedure is an oblivious wisdom aggregation procedure that obliviously learns aggregate statistics over workers’ data while considering their quality. We securely realize these procedures with only lightweight secret sharing techniques. Our system is utterly oblivious to the service provider, and ensures that only the requester can learn the aggregate quality-aware statistics but nothing more. Extensive evaluations show that GoCrowd can produce quality statistics over data from 500 workers for 200 16-choice questions within 1 s.

关键词： Crowdsourcing Cryptography Quality control Servers Task analysis Aggregates Data privacy

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Enhancing Secure Development in Globally Distributed software Product Lines: A Machine Learning-Powered Framework for Cyber-Resilient Ecosystems

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Computers, Materials & Continua 2024年第6期79卷 5031-5049页

作者： Marya Iqbal Yaser Hafeez Nabil Almashfi Amjad Alsirhani Faeiz Alserhani Sadia Ali Mamoona Humayun Muhammad Jamal University Institute of Information Technology PMAS-Arid Agriculture UniversityRawalpindiPakistan Department of Software Engineering College of Computer and Information SciencesJouf UniversityAl Jouf72388Saudi Arabia Department of Computer Science College of Computer and Information SciencesJouf UniversityAl Jouf72388Saudi Arabia Department of Computer Engineering&Networks College of Computer and Information SciencesJouf UniversityAl Jouf72388Saudi Arabia Department of Information Systems College of Computer and Information SciencesJouf UniversitySakakaAl Jouf72388Saudi Arabia Department of Mathematics Pir Mehr Ali Shah Arid Agriculture UniversityRawalpindiPakistan

Embracing software product lines(SPLs)is pivotal in the dynamic landscape of contemporary software ***,the flexibility and global distribution inherent in modern systems pose significant challenges to managing SPL variability,underscoring the critical importance of robust cybersecurity *** paper advocates for leveraging machine learning(ML)to address variability management issues and fortify the security of *** the context of the broader special issue theme on innovative cybersecurity approaches,our proposed ML-based framework offers an interdisciplinary perspective,blending insights from computing,social sciences,and ***,it employs ML for demand analysis,dynamic feature extraction,and enhanced feature selection in distributed settings,contributing to cyber-resilient *** experiments demonstrate the framework’s superiority,emphasizing its potential to boost productivity and security in *** digital threats evolve,this research catalyzes interdisciplinary collaborations,aligning with the special issue’s goal of breaking down academic barriers to strengthen digital ecosystems against sophisticated attacks while upholding ethics,privacy,and human values.

关键词： Machine Learning variability management cybersecurity digital ecosystems cyber-resilience

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Securing the Future after Pager Bombs:Lifecycle Protection of Smart Devices via Blockchain Intelligence

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IEEE/CAA Journal of Automatica Sinica 2024年第12期11卷 2355-2358页

作者： Fei Lin Qinghua Ni Jing Yang Juanjuan Li Nan Zheng Levente Kovács Radu Prodan Mariagrazia Dotoli Qing-Long Han Fei-Yue Wang the Department of Engineering Science Faculty of Innovation EngineeringMacao University of Science and TechnologyMacao 999078China the State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China the School of Artificial Intelligence University of Chinese Academy of SciencesBei-jing 100049China IEEE Obuda University John von Neumann Faculty of InformaticsBecsi Str.96/bH-1034 BudapestHungary the Institute of Information Technology University of Klagenfurt9020 Klagenfurt am WortherseeAustria the Department of Electrical and Information Engineering Polytechnic of Bari70126 BariItaly the School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourne VIC 3122Australia the State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190

THE Lebanese wireless device explosion incident has drawn widespread attention,involving devices such as pagers,walkie-talkies,and other common devices[1].This event has revealed and highlighted the security vulnerabilities in global supply chains from raw material manufacturing and distribution to the usage of devices and equipment,signaling the onset of a new wave of"supply chain warfare"[2].

关键词： Smart cycle chains

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GemmaWithLoRA: A New Approach to Click Fraud Detection

GemmaWithLoRA: A New Approach to Click Fraud Detection

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2024 IEEE International Conference on Communications, computing, Cybersecurity and Informatics, CCCI 2024

作者： Dai, Bingzhou Wang, Lei Zhao, Xiaoyong Guo, Yu Obaidat, Mohammad S. School of Information Management Beijing Information Science & Technology University Beijing China Information Systems Institute Beijing Advanced Innovation Center for Materials Genome Engineering Beijing Information Science & Technology University Beijing China Beijing Advanced Innovation Center for Materials Genome Engineering and Shunde Innovation School University of Science and Technology Beijing China King Abdullah II School of Information Technology University of Jordan School of Engineering Amity University School of Computing SRM University Amman Jordan

ISBN: (纸本)9798350349832

With the rapid development of artificial intelligence technology, pre-Trained large language models (LLMs) have demonstrated their powerful application potential in various fields. Click fraud is a serious issue in the digital advertising ecosystem, especially in the pay-per-click (PPC) model, where fraudulent activities significantly undermine the effectiveness of ads and pose security risks. While many traditional fraud detection methods have achieved relatively good accuracy, they still face poor generalization and extensive feature engineering issues. This paper explores using LLMs for click fraud detection by leveraging the powerful feature extraction capabilities and superior generalization performance of the Gemma-2b model, combined with LoRA fine-Tuning technology. Extensive experiments on the TalkingData2017 dataset showed that accuracy was achieved at 83°/0, demonstrating the effectiveness of LLMs in click fraud detection tasks. © 2024 IEEE.

关键词： Crime

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Device-Free 3D Drone Localization in RIS-Assisted mmWave MIMO Networks

Device-Free 3D Drone Localization in RIS-Assisted mmWave MIM...

引用

2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： He, Jiguang Vanwynsberghe, Charles Chen, Hui Huang, Chongwen Fakhreddine, Aymen Great Bay University School of Computing and Information Technology Dongguan China Technology Innovation Institute Abu Dhabi9639 United Arab Emirates Chalmers University of Technology Department of Electrical Engineering Gothenburg Sweden Zhejiang University College of Information Science and Electronic Engineering Hangzhou310027 China University of Klagenfurt Institute of Networked and Embedded Systems Klagenfurt Austria

ISBN: (纸本)9798350351255

In this paper, we investigate the potential of reconfigurable intelligent surfaces (RISs) in facilitating passive/device-free three-dimensional (3D) drone localization within existing cellular infrastructure operating at millimeter-wave (mmWave) frequencies and employing multiple antennas at the transceivers. The developed localization system operates in the bi-static mode without requiring direct communication between the drone and the base station. We analyze the theoretical performance limits via Fisher information analysis and Cramér Rao lower bounds (CRLBs). Furthermore, we develop a low-complexity yet effective drone localization algorithm based on coordinate gradient descent and examine the impact of factors such as radar cross section (RCS) of the drone and training overhead on system performance. It is demonstrated that integrating RIS yields significant benefits over its RIS-free counterpart, as evidenced by both theoretical analyses and numerical simulations. © 2024 IEEE.

关键词： Cramer-Rao bounds

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Polymorphic Security Enhancements for Corporate Environments Utilizing Behavior Analytics

Polymorphic Security Enhancements for Corporate Environments...

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International Conference on Computer and Applications (ICCA)

作者： Wijesinghe W.M.A. J Abeysinghe Y.P. P Rukshana M.A. F Adhikari A.M.P. S Kavinga Yapa Abeywardhana Deemantha Siriwardhana Department of Computer Systems Engineering Faculty of Computing Sri Lanka Institute of Information Technology Malabe Sri Lanka

ISBN: (数字)9798350367560

ISBN: (纸本)9798350367577

Employers should recognize that employees are the most vulnerable aspect of business environments since these cyber hazards are growing because of user neglect, lack of fundamental security discipline, and a fast-changing threat context. The theoretical approach proposed in the study bridges the difference by carefully following and handling the staff's internet presence. Overall, the study describes a comprehensive solution to govern the security of employees' internet presence by utilizing Artificial Neural Networks (ANN) for advanced intrusion detection, Natural Language Processing (NLP) for implementation and enforcement of browser-based security policies, visual and text data recognition to identify phishing attempts, and lastly analyzing and profiling users based on their online presence via a mathematical model. As a result, this study provides a comprehensive solution for mitigating risks related to human factors in corporate environments.

关键词： Visualization Text recognition Computer hacking Phishing Intrusion detection Artificial neural networks Human factors Natural language processing Mathematical models Hazards

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Et Tu certifications: robustness certificates yield better adversarial examples 24

Et Tu certifications: robustness certificates yield better a...

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Proceedings of the 41st International Conference on Machine Learning

作者： Andrew C. Cullen Shijie Liu Paul Montague Sarah M. Erfani Benjamin I.P. Rubinstein School of Computing and Information Systems University of Melbourne Parkville Australia Defence Science and Technology Group Adelaide Australia

In guaranteeing the absence of adversarial examples in an instance's neighbourhood, certification mechanisms play an important role in demonstrating neural net robustness. In this paper, we ask if these certifications can compromise the very models they help to protect? Our new Certification Aware Attack exploits certifications to produce computationally efficient norm-minimising adversarial examples 74% more often than comparable attacks, while reducing the median perturbation norm by more than 10%. While these attacks can be used to assess the tightness of certification bounds, they also highlight that releasing certifications can paradoxically reduce security.

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Research on Edge computing Offloading Based on Reinforcement Learning in Multi-user Scenarios 6th

Research on Edge Computing Offloading Based on Reinforcement...

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6th International Conference on Smart Grid and Internet of Things, SGIoT 2022

作者： Yu, Zi-Hang Zeng, Jian-Jun Liu, Sai Zhang, Zhen-Jiang Department of Electronic and Information Engineering Key Laboratory of Communication and Information Systems Beijing Municipal Commission of Education Beijing Jiaotong University Beijing100044 China College of Intelligence and Computing Beijing InchTek Technology Tianjin University Beijing100044 China

ISBN: (纸本)9783031312748

Under the blessing of the new generation of information technology represented by 5G, a large number of new models and new businesses represented by smart logistics, industrial Internet, and smart transportation have emerged one after another, and the door to the intelligent interconnection of all things has officially opened. However, due to IoT sensor devices are usually responsible for data acquisition and transmission, they have certain limitations in terms of computing and storage capabilities. How to expand the performance of devices located at the edge of the network has become a focus of attention. Aiming at the problems of high energy consumption, prolonged time and high task failure rate in traditional IoT edge computing methods, this paper introduces deep reinforcement learning technology to optimize IoT edge computing offload methods. This paper models a single edge server multi-user scenario, and designs a function that comprehensively considers task delay and task failure rate as the goal of further optimization. At the same time, aiming at the problem of state space dimension explosion in traditional reinforcement learning, a computing task offloading method based on deep Q network is further proposed. Through simulation experiments, the results show that the proposed method has certain advantages in time delay and task success rate under the condition of different number of IoT devices. © 2023, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Edge computing

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Enhancing Medical Anatomy Education through Virtual Reality (VR): Design, Development, and Evaluation

arXiv

引用

arXiv 2024年

作者： Than, Myint Zu Yap, Kian Meng Department of Computing and Information Systems School of Engineering and Technology Sunway University Malaysia School of Engineering and Technology Sunway University Malaysia

Modern medicine demands innovations in medical education, particularly in the learning of human anatomy, traditionally taught through textbooks, dissections, and lectures. Virtual Reality (VR) has emerged as a promising tool to address the limitations of these conventional methods by emphasising vision-based and active learning. However, current VR educational tools are often inaccessible due to high costs and specialised equipment requirements. This paper details the design and development of an accessible, desktop-based VR system aimed at enhancing anatomy education by leveraging the user’s visual perception to promote a meaningful and interactive learning experience. The Virtual Anatomy Lab was designed to enable students to interact with a 3D Skull model to complete tasks virtually via an interactive user interface (UI) with the help of common devices like a mouse and keyboard. As part of the study, a group of medical students from prestigious medical schools throughout Malaysia were invited to evaluate the built system to offer feedback and determine its overall efficiency and usability in fulfilling their learning goals. The results and findings from user evaluations were then analysed to discuss its effectiveness and areas for future improvement. © 2024, CC BY.

关键词： Virtual environments

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