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CSPS- Cyber security Physical System with a Gaming and defence Strategic Approach to detect the Malicious Attack for Vehicle to Everything Network

CSPS- Cyber Security Physical System with a Gaming and Defen...

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

作者： r. Sofia S. Yazhinian r. Sambathkumar r. Saranya M. Jeyakumar Department of ECE Manakula Vinayagar Institute of Technology Computer Science and Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Computer Science and Engineering(Cyber Security) Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology

ISBN: (数字)9798331510022

ISBN: (纸本)9798331510039

Cyber is the word that relates to computer, network and virtual reality. And providing security for these types of system is called cyber security. And this paper discusses about cyber security physical system which is the integration of both hardware and software as there is a possibility of malicious attacks on hardware too because of intervention of IoT devices, where because of these malicious attacks can consume energy of the system or changes the commands for the malfunctioning and everything need to be tracked. The major difference between Cyber security and cyber security physical system is that cyber security is meant for restricting unauthorized access of electronic data and cyber physical security system aims in securing both data as well as IoT devices and other hardware devices from malicious attacks. Cyber security physical system (CSPS) together provides a network, Application, Infrastructure, and IoT security as well as surveillance, access control and testing. The proposed method finds the expected time of failure, malicious attacks on both hardware and software and based on the training. The CSPS system the system able to differentiate the normal command and the command from the attackers, so whenever the doubt arises the CSPS makes those command to wait and if it is secured the command will be executed with a delay or else it will be discarded which protects the system from any types of attackers. And also, the system aims in achieving the higher efficiency through a smaller number of IoTs devices, and also it aims to combinedly use gaming approach, defence strategy with a security supervisor approach to differentiate between the defender and attacker which proves its own efficiency.

关键词： Training Surveillance Games Virtual reality Hardware Software Internet of Things Object recognition Computer crime Testing

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A robust design of Cooperative Model to Enhance Energy Efficiency over Heterogeneous 5G Wireless Sensor Network Paradigm

A Robust Design of Cooperative Model to Enhance Energy Effic...

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2024 Asia Pacific Conference on Innovation in technology, APCIT 2024

作者： Anitha, C. Karthik, G.M. Uma Maheswari, M. Kumar, L. Vinoth Sasikala, G. Jayanthi, S. Saveetha University Saveetha School of Engineering Department of CSE Saveetha Institute of Medical and Technical Sciences Tamil Nadu Chennai India Department of Information Security Tamil Nadu Vellore India Rajalakshmi Engineering College Department of Mechatronics Engineering Tamil Nadu Chennai India RMK Engineering College Department of Information Technology Tamil Nadu Chennai India Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Department of ECE Tamil Nadu Chennai India R.M.D Engineering College Department of Electronics and Communication Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350361537

Multiple interconnecting Wireless Sensor Networks (WSN) built on the same region have grown increasingly prevalent in recent years due to the widespread diffusion of 5G Wireless Sensor Networks (WSNs). Cooperative packet forwarding is anticipated to prolong their lifespan in this scenario. While some studies have looked at 5G network models that work together, the majority of these studies ignore the fact that WSNs vary greatly in terms of factors like battery life, starting time of operation, number of nodes, locations of nodes, energy consumption, packet size and/or data transmission timing, and so on. Optimistic lifelong gains through teamwork could not hold water in a diverse setting. Improve Energy Efficient Communication Paradigm (EEECP) is a fair cooperative routing approach that we offer in this study for 5G wireless sensor networks that are diverse and overlapping. The efficiency of this suggested approach will be evaluated by cross-validating it with the usual Cooperative data Communication (CdC) model of communication. In order to keep the overall energy usage down, it implements a cooperative forwarding system and an energy-pool. The energy pool mediates equitable collaboration. Last but not least, the suggested strategy performs exceptionally well according to the simulation findings. © 2024 IEEE.

关键词： 5G mobile communication systems

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ransomware Classification and detection: A Supervised Machine Learning Approach 5th

Ransomware Classification and Detection: A Supervised Machin...

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5th International Conference on Computer and Communication Technologies, IC3T 2023

作者： Subburaj, T. Suthendran, K. dharmireddi, Srinivasarao Aparna, S. V. Suji Yamini, K. Anish Pon ramesh, S. Abhinav, C. Department of Computer Applications Raja Rajeswari College of Engineering Bangalore India Department of Information Technology Kalasalingam Academy of Research and Education Krishnankoil India Department of Cyber Security MasterCard PurchaseNY United States Department of CSE CMR Technical Campus Telangana Hyderabad India Department of ECE Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai India Department of Information Technology Jain Deemed to be University Bangalore India CMR Technical Campus Telangana Hyderabad India

ISBN: (纸本)9789819997060

Our lives are made simpler and more efficient as the cyber world grows every day. Hidden threats and risks also increase as well. From the past few years, one of the major cyber threats to businesses has been ransomware. Here, the attacker locks the victims valued data and demands a ransom. ransomware usually encrypts and recovers files from victims or organizations by demanding money for recovery or decryption. We are proposing the rF classifier method to identify the ransomware attacks with high accuracy. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Cybersecurity

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Investigation of Endorsement Guideline Protocol Actuality Problem Using Blowfish AES Algorithm 2

Investigation of Endorsement Guideline Protocol Actuality Pr...

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2nd IEEE International Conference on Futuristic Technologies, INCOFT 2023

作者： rajmohan, r. raj, S. Saran Karthikram, A. Kumar, T. Ananth Syed Fiaz, A.S. Srm Institute of Science and Technology Department of Computing Technologies Tamil Nadu India Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Computer Science and Engineering Tamil Nadu India Madanapalle Institute of Technology and Science Department of Computer Science Engineering - Cyber Security Andhra Pradesh India Ifet College of Engineering Department of Computer Science and Engineering Tamil Nadu India

ISBN: (纸本)9798350308846

A larger an organization's dependence on, Potential distributed information systems for its everyday activities, the greater its vulnerability to security vulnerabilities, even as it gains efficiency and productivity advantages. These approaches for massive data must include a method for imposing a policy regarding the content, topic, credentials, and type of data being produced. Organizations that used FPT (Fixed Parameter Tractable) for transmitting client information experienced issues such as the following: Loss of data, transmission file restriction, unauthorized access to data, and confidentiality are all concerns. The data security area is confronted with several new challenges. Variables such as the evaluation of security issues and the decentralization of access to the information are taken into consideration. The proposed Blowfish AES algorithm is used to secure the data to overcome these issues. The Blowfish AES algorithm, which consists of encryption and decryption, makes use of a key to allow the receiver to unwrap the message. An individual can only access the data if all their qualifications have been verified and accepted by the system. The samples are the most important part of them because they are computation time destructive and have exactness problems. The authenticated people could indeed access the information to complete the task, and an acknowledgement is sent to the authenticated person. © 2023 IEEE.

关键词： Actuality AES Blowfish Endorsement Protocol

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Secure and responsive Human-robot Interaction for dementia Patients Using LSTM and IoT 3

Secure and Responsive Human-Robot Interaction for Dementia P...

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3rd International Conference for Advancement in technology, ICONAT 2024

作者： ramya, S. radhika, M. roychoudri, Subramani Senthil, S. Arunachalam, G. Muthulekshmi, M. Paavai Engineering College Department of Cyber Security Tamil Nadu Namakkal India R.M.D. Engineering College Department of Information Technology Tamil Nadu Chennai India Usha Rama College of Engineering and Technology Department of Computer Science and Engineering Andhra Pradesh Vijayawada India Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Avadi Department of Mathematics Tamil Nadu Chennai India Department of Electronics and Communication Engineering Tamil Nadu Namakkal India Saveetha Institute of Medical and Technical Sciences Saveetha University Saveetha School of Engineering Department of Biomedical Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350354171

An innovative architecture that combines Long Short-Term Memory (LSTM) networks with Internet of Things (IoT) technology is presented in this paper to assist dementia patients. It solves Human-robot Interaction (HrI) difficulties in dementia care. It also ensures security and responsiveness in HrI to establish a secure and trustworthy environment for dementia patients. LSTM networks help the robot to recognize and to adapt based on the dementia patients' behaviors. Through real-time data gathering and exchange, IoT devices offer seamless and context-aware interactions. The system protects user privacy and sensitive data with strong encryption and authentication processes. The framework uses adaptive learning methods to improve the robot's comprehension of the user's preferences and needs, offering a personalized and responsive assistance system. Simulations and real-world situations show that the proposed technology provides safe, responsive, and personalized human-robot interactions for dementia care. By presenting a potential solution to dementia care difficulties it advances assistive technology and improves quality of life for dementia patients. © 2024 IEEE.

关键词： Human robot interaction

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Traffic Sign detection Problems using Convolutional Neural Techniques in Image Processing

Traffic Sign Detection Problems using Convolutional Neural T...

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2024 International Conference on Intelligent Systems for Cybersecurity, ISCS 2024

作者： Subhamathi, A.S.F. Sathiyapriyan, C. Anuradha, T. Jose Anand, A. rheem, Abdul Arun, M.r. Karpagam Academy of Higher Education Department of Electrical and Electronics Engineering Tamilnadu Coimbatore641021 India Aarupadai Veedu Institute of Technology Department of Computer Science and Engineering Cyber Security Chennai603104 India Kcg College of Technolog Department of Electrical and Electronics Engineering Tamil Nadu Chennai600097 India Kcg College of Technology Department of Ece Karapakkam Chennai600 097 India Mullana Department of Mathematics and Humanities Haryana Ambala India Department of ECE Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi Chennai India

ISBN: (纸本)9798350375237

Traffic sign detection is a critical component in advancing intelligent transportation systems and ensuring road safety. Convolutional Neural Networks (CNNs) have emerged as powerful tools in image processing and computer vision, demonstrating remarkable success in various domains, including traffic sign recognition. This paper presents a comprehensive exploration of the challenges associated with traffic sign detection and the application of CNN techniques to address these issues. The paper reviews the traditional methods used for traffic sign detection and emphasizes the limitations that motivate the adoption of CNNs. The core of the paper delves into the application of convolutional neural techniques for traffic sign detection. Various CNN architectures are surveyed and highlight their strengths and weaknesses in handling specific challenges inherent to traffic sign recognition. Attention mechanisms, transfer learning, and other advancements in CNNs are explored for their potential to enhance detection accuracy and robustness. In conclusion, this paper contributes to the understanding of how convolutional neural techniques can be leveraged to tackle traffic sign detection challenges. © 2024 IEEE.

关键词： Object detection

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LANderMT: detecting and routing Language-Aware Neurons for Selectively Finetuning LLMs to Machine Translation

arXiv

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arXiv 2024年

作者： Zhu, Shaolin Pan, Leiyu Li, Bo Xiong, deyi College of Intelligence and Computing Tianjin University Tianjin China School of Software Tsinghua University Beijing China Baidu APP Technology and Platform R&D Department Baidu Inc Beijing China

recent advancements in large language models (LLMs) have shown promising results in multilingual translation even with limited bilingual supervision. The major challenges are catastrophic forgetting and parameter interference1 for finetuning LLMs when provided parallel training data. To address these challenges, we propose LANderMT, a Language-Aware Neuron detecting and routing framework that selectively finetunes LLMs to Machine Translation with diverse translation training data. In LANderMT, we evaluate the awareness of neurons to MT tasks and categorize them into language-general and language-specific neurons. This categorization enables selective parameter updates during finetuning, mitigating parameter interference and catastrophic forgetting issues. For the detected neurons, we further propose a conditional awareness-based routing mechanism to dynamically adjust language-general and language-specific capacity within LLMs, guided by translation signals. Experimental results demonstrate that the proposed LANderMT is very effective in learning translation knowledge, significantly improving translation quality over various strong baselines for multiple language pairs. Copyright © 2024, The Authors. All rights reserved.

关键词： Neurons

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Modulating structural oxygen/crystallinity enables ambient cascade photo-upgrading of biomass saccharides to lactic acid

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Carbon Energy 2025年第3期7卷 91-109页

作者： Jinshu Huang Yan ding Jie Li Zhao Hu Shunmugavel Saravanamurugan Junqi Wang Yaqiong Su Song Yang Hu Li State Key Laboratory of Green Pesticide Key Laboratory of Green Pesticide&Agricultural BioengineeringMinistry of EducationState-Local Joint Laboratory for Comprehensive Utilization of BiomassCenter for R&D of Fine ChemicalsGuizhou UniversityGuiyangGuizhouChina Laboratory of Bioproduct Chemistry Centre of Innovative and Applied Bioprocessing(CIAB)MohaliPunjabIndia Department of Earth and Environmental Science School of Human Settlements and Civil EngineeringXi'an Jiaotong UniversityXi'anShaanxiChina School of Chemistry Engineering Research Center of Energy Storage Materials and Devices of Ministry of EducationNational Innovation Platform(Center)for Industry-Education Integration of Energy Storage TechnologyXi'an Jiaotong UniversityXi'anChina

Photocatalytic transformation of biomass into biofuels and value-added chemicals is of great significance for carbon ***-free carbon nitride has extensive applications but with almost no absorption and utilization of near-infrared light,accounting for 50%of ***,a molten salt-assisted in-plane“stitching”and interlayer“cutting”protocol is developed for constructing a highly crystalline carbon nitride catalyst containing structural oxygen(HC-CN).HC-CN is highly efficient for the photothermal cascade transformation of biomass-derived glucose into lactic acid(LA)with an unprecedented yield(94.3%)at 25°C under full-spectrum light irradiation within 50 min,which is also applicable to quantitatively photo-upgrading various *** calculations expound that the light-induced glucose-to-catalyst charge transfer can activate the Cβ-H bond to promote the rate-determining step of intramolecular hydrogen shift in glucose-to-fructose ***,the introduced structural oxygen in HC-CN can not only facilitate the local electric field formation to achieve rapid charge transport/separation and regulate selective·O^(-)_(2)generation for oriented C3-C4 bond cleavage of fructose but also narrow the energy band gap to broaden the light absorption range of HC-CN,contributing to enhanced LA production without exogenous ***,HC-CN is highly recyclable and exhibits negligible environmental burden and low energy consumption,as disclosed by the life cycle *** construction of full-spectrum light adsorption and versatile reaction sites provides a reference for implementing multi-step biomass and organic conversion processes under mild conditions.

关键词： biomass valorization lactic acid life cycle assessment photocatalysis pyroelectric effect

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Enhancement of security in IoT using Secure Hash Cryptography Algorithm with double Encryption (SHCA-dE) 9

Enhancement of Security in IoT using Secure Hash Cryptograph...

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9th International Conference on Communication and Electronics Systems, ICCES 2024

作者： Uganya, G. rajalakshmi, d. Vangapandu, ramarao dinesh, M. Giri, Jayant Odeh, Mahmoud Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Ece Chennai India Srm Institute of Science and Technology Department of Data Science and Business Systems Kattankulathur Chennai India Vignan's Institute of Engineering for Women Department of Computer Science and Engineering Vishakhapatnam India Saveetha University Department of Vlsi Microelectronics Saveetha School of Engineering Chennai India Yeshwantrao Chavan College of Engineering Department of Mechanical Engineering Nagpur India Lovely Professional University Division of Research and Development Phagwara India Zarqa University Faculty of Information Technology Department of Cyber Security Zarqa Jordan University of Business and Technology Jeddah Saudi Arabia

ISBN: (纸本)9798350377972

The 'Internet of things' is the developing technology to transfer the world into smart innovation. 'IoT' security is the most problematic issue in recent applications due to its properties including 'centralized architecture', 'limited capacity devices', and 'ambiguity'. So, blockchain with 'IoT' applications provides secure data communication compared to traditional 'IoT' applications. Blockchain is a recent growing technology that has features including 'decentralized structure', 'transparency', 'immutable records', 'increased capacity', and 'quick backtracks'. The 'cryptography hash algorithm' is very important to provide secure data transmission. It converted the different size input to fixed-size unalterable output to enhance the security. But still, it needs efficient algorithm to secure data transmission with safeguard of private key. The objective of this paper is to propose a secure hash cryptography algorithm with double encryption (SHCA-dE) to protect the private key message. Then, this proposed algorithm has been analyzed with Md5, SHA-256, and SHA3-512. From this analysis, the SHA3-512 performs well with proposed algorithm. © 2024 IEEE.

关键词： Encryption algorithms

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An Autonomous response Method to Cluster Classification of Large Charging Piles 5

An Autonomous Response Method to Cluster Classification of L...

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5th International Conference on Power and Energy technology, ICPET 2023

作者： Wang, Wen Yang, Ye Zhou, Yongjia Li, Yuan Li, Yao Liu, Yibo Gao, Shiqiao Energy Service Center State Grid Smart Internet of Vehicles Co. Ltd Beijing China State Grid Zhejiang Electric Vehicle Service Co. Ltd Operation Management Department Hangzhou China Platform R&d Center State Grid Smart Internet of Vehicles Co. Ltd Beijing China Uniev Network Technology Co. Ltd Science and Technology Innovation Department Beijing China

ISBN: (纸本)9798350339673

The accurate response of electric vehicles as a flexible load to the regulatory signals of multiple power markets requires a high degree of cooperation from charging piles, which poses a serious challenge to the response performance of the piles. In this paper, a method of classifying charging pile clusters is proposed based on the response accuracy as well as the linear fit to construct response characteristics. The charging piles will be classified into four types, the K-means clustering method is used to provide uniform regulation instructions for linear clusters and the probability distribution of power deviations to control the error range of nonlinear clusters respectively. By giving different degrees of regulation instructions to different clusters, it ensures that the charging pile resources with good responsiveness and cost-effective regulation can be utilized in priority © 2023 IEEE.

关键词： Charging pile characteristics Linear fit. response accuracy

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