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security Implications of Augmented Reality in Healthcare: Integrating Human-computer Interaction for Modern Systems

Security Implications of Augmented Reality in Healthcare: In...

引用

International conference on communication Systems and Network Technologies (CSNT)

作者： Raneem Y. Alyami Department of Information Technology College of Computer and Information Technology Taif University Taif Saudi Arabia

ISBN: (数字)9798331531935

ISBN: (纸本)9798331531942

the current study presents a risk assessment and mitigation framework based on augmented reality (AR) used in healthcare systems to improve human-computer interaction and assistive technology. the proposed approach is proactive, identifying hardware and software vulnerabilities, assessing risk exposure, and prioritizing mitigation strategies. the framework adapts dynamically to emerging flaws from stakeholder feedback, ensuring continuous improvement and technological relevance. With a performance in key areas such as data safety, user authentication, access control, privacy protection, and threat detection, the technique far outperforms existing systems like Secure AR Framework, AR Guard System, Health Secure AR, MedTech Shield, and Safe AR in data security, system stability, legal compliance, and user training. By applying this proactive approach, cognitive health takes precedence over enabling informed decision-making based on precise mathematical risk quantification. According to the findings, this strategy significantly improves the safety of AR healthcare applications and protects patient data and system integrity. Ultimately, it guarantees the creation of safer and more consistent healthcare AR systems, thus bringing safety and contentment to patients and specialists.

关键词： Human computer interaction Training Prevention and mitigation Data security Authentication Medical services Assistive technologies threat assessment Protection Augmented reality

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Underpinning of Resource-Constrained IoT Networks: Analysis and Countermeasures for Attacks and Vulnerabilities

Underpinning of Resource-Constrained IoT Networks: Analysis ...

引用

International conference on communication Systems and Network Technologies (CSNT)

作者： Umeshwer Singh Manu Sood Robin Singh Bhadoria Department of Computer Science Himachal Pradesh University Shimla India Department of Computer Science and Engineering National Institute of Technology Hamirpur Himachal Pradesh India

ISBN: (数字)9798331531935

ISBN: (纸本)9798331531942

the Internet of things integrate various electronics devices on common platform as objects over the Internet. IoT devices have limited capabilities, such as low power, less memory, and low computational processing. Besides these constraints, IoT deals with a large amount of sensitive and personal data, making the IoT networks highly prone to attacks and various vulnerabilities. this paper summarizes the different possible attacks and vulnerabilities on resource-constrained IoT networks and the security requirements compromised. It also presents available countermeasures for these possible attacks. Furthermore, the paper discusses the simulation-based parameters for results on detection of such vulnerabilities and attacks in IoT networks. the paper presents protocols for resource-constrained IoT networks and maps different attacks with existing protocols. Finally, the paper summarizes the vulnerabilities in the IoT specially designed for resource-constrained environments and, discusses the potential impact of these vulnerabilities, and outlines countermeasures to address the same.

关键词： Protocols Memory management Network analyzers Internet of things security Standards Cyberattack

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Intrusion Detection at the Edge Computing: A Deep Learning Approach Using the UNSW-NB15 Dataset

Intrusion Detection at the Edge Computing: A Deep Learning A...

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International conference on communication Systems and Network Technologies (CSNT)

作者： Vipin Kumar Vivek Kumar Abhay Pratap Singh Bhadauria Jay Dixit Amit Kumar Department of Computer Science Gurukula Kangri (Deemed to be University) Haridwar India Department of Computer Engineering & Applications GLA University Mathura Department of Computer Engineering & Applications GLA University Mathura UP

ISBN: (数字)9798331531935

ISBN: (纸本)9798331531942

Edge computing has transformed technology by enabling seamless connections between IoT devices, but it also introduces significant security challenges. EC is crucial for providing minimal latency processing and reducing the load on centralized servers, ensuring timely and scalable intrusion detection for IoT environments. the findings underscore the potential of combining edge computing, IoT, and deep learning to address evolving security challenges in distributed systems. To mitigate these risks, efficient models for detecting malicious activities are crucial. this study investigates the application of edge computing, Internet of things (IoT), and deep learning to improve the performance of Intrusion Detection Systems (IDS). By leveraging the UNSW-NB15 dataset, the research assesses the capability of deep learning models to identify and mitigate cyber threats effectively. the results demonstrate better performance, showing their suitability for real-time security applications. these findings highlight the potential of intelligent intrusion detection systems powered by robust datasets and deep learning for addressing evolving security threats in edge computing environments.

关键词： Deep learning Image edge detection Computational modeling Intrusion detection Real-time systems Internet of things security Servers Long short term memory Edge computing

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Decentralised Cloud Architecture: Blockchain Driven Integrity and Raptor Codes for Enhanced Data Transmission

Decentralised Cloud Architecture: Blockchain Driven Integrit...

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International conference on communication Systems and Network Technologies (CSNT)

作者： Preethi M Ayush Kale Pooja Satheesh Harshitha R Rohith Vaidya K Department of Computer Science PES University Bangalore India

ISBN: (数字)9798331531935

ISBN: (纸本)9798331531942

Ensuring data integrity and security has become integral in the digital era. Blockchain, an immutable ledger can be leveraged to provide data integrity to the cloud system. Centralised cloud systems present challenges in data integrity, reliability and security due to single point of failure and control. the alternative decentralised approach distributes data across multiple nodes thus reducing reliance on one server. However, this can lead to issues like network congestion, difficulty verifying file integrity and origin of tampering. the proposed system uses a combination of decentralised cloud nodes, blockchain, and fountain codes to provide a robust, scalable and secure cloud solution. Blockchain is used to store hashes of the files and validate every operation ensuring transparency and integrity. To provide a robust data recovery and enhance reliability of communication amongst the nodes, fountain codes are utilised for data transmission.

关键词： Cloud computing Codes Data integrity Data security Fault tolerant systems Solitons Data models Blockchains Peer-to-peer computing Data communication

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Generative AI SSH Honeypot With Reinforcement Learning

Generative AI SSH Honeypot With Reinforcement Learning

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International conference on communication Systems and Network Technologies (CSNT)

作者： Pragna Prasad Nikhil Girish Sarasvathi V Apoorva Vh Prem Kumar S Department of CSE PES University Bengaluru India

ISBN: (数字)9798331531935

ISBN: (纸本)9798331531942

In today's rapidly evolving cyber landscape, traditional honeypots face significant limitations in their ability to adapt to sophisticated attack patterns and maintain convincing interactions with attackers. We propose Generative AI SSH Honeypot (GASH): an innovative approach to this problem combining Deep Reinforcement Learning (DRL) with Large Language Models (LLMs) to create a dynamic, engaging honeypot system. GASH employs a Deep Q-Network (DQN) architecture for strategic decision-making and leverages OpenAI’s GPT-4o for generating contextually appropriate responses while maintaining robust security measures. Our experimental results demonstrate improvements in attacker engagement duration compared to traditional honeypot systems like Kippo and Cowrie.

关键词： Generative AI Large language models Scalability Decision making Deep reinforcement learning Robustness Natural language processing computer security Next generation networking Faces

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Intelligent Anti-theft System with Automated Spray Control using ESP32 WROOM

Intelligent Anti-Theft System with Automated Spray Control u...

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International conference on communication Systems and Network Technologies (CSNT)

作者： Geetha Shanmugam Deepa Balusamy Elamparithi S Vetriselvan R Mourin Praamoth S Department of Computer Science and Engineering Nandha Engineering College Erode India

ISBN: (数字)9798331531935

ISBN: (纸本)9798331531942

this project demonstrates a low-cost anti-theft solution built around the ESP32-WROOM microcontroller, with integrated chemical spray for security. the system is designed to detect unauthorized entry and respond with spraying disinfectant chemicals such as pepper spray, thus ensuring security as well as being effective against attackers. the ESP32-WROOM microcontroller is known for its Wi-Fi and Bluetooth capabilities, which plays a key role in providing real-time monitoring and control. Users can also access the system via mobile or web applications. In case of any abnormal situation, the user will be notified immediately. this hospitality provides a living environment for its users. therefore, they can move with peace of mind and even safeguard their valuable things from anywhere. this system also has a modular design that saves energy for easy installation and is suitable for residential, small business and commercial environments.

关键词： Bluetooth Microcontrollers communication systems Spraying Object detection Real-time systems security Chemicals Wireless fidelity Business

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A Comprehensive Usage of AI in Prevention of Social Engineering Attack

A Comprehensive Usage of AI in Prevention of Social Engineer...

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International conference on communication Systems and Network Technologies (CSNT)

作者： Vishal Jain Bishwajeet Pandey Laura Aldasheva Pranav Shukla Pushpanjali Pandey Damini Jain Technical Head- Cyber Security Global Institute of Cyber Security Noida India Department of MCA GL Bajaj College of Technology and Management Greater Noida India Dept of IS&CS Astana IT University Astana Kazakhstan Software Engineer 2 Deloitte Lucknow India Department of R&D Gyancity Research Consultancy Greater Noida India Managing Director CyberiumX Delhi India

ISBN: (数字)9798331531935

ISBN: (纸本)9798331531942

AI has become a tool for social engineering attackers, enhancing the likelihood of successful attacks. However, as the saying goes, "Diamonds cut diamonds." In this research, we have enlisted the usage of AI to initiate, launch, counter and prevent social engineering attacks. We have explored not only traditional forms of social engineering attacks with AI, such as phishing, eavesdropping, shoulder surfing, dumpster diving, piggybacking, and tailgating but also the latest forms of AI-enabled social engineering attacks, known as vishing, baiting, Smishing, Whaling, Quishing and Quid Pro Quo. this research paper also conducted a systematic literature review of AI-based defending techniques like AI Sentry,

关键词： Hands computer hacking Phishing Prevention and mitigation Message services Diamond Artificial intelligence computer crime Faces Systematic literature review

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CCS'07 - Proceedings of the 14th acm conference on computer and communications security

CCS'07 - Proceedings of the 14th ACM Conference on Computer ...

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14th acm conference on computer and communications security, CCS'07

ISBN: (纸本)9781595937032

the proceedings contain 55 papers. the topics discussed include: assurance and evaluation: what next?;an analysis of browser domain-isolation bugs and a light-weight transparent defense mechanism;candid: preventing SQL injection attacks using dynamic candidate evaluations;multi-module vulnerability analysis of web-based applications;beamauth: two-factor web authentication with a bookmark;dynamic pharming attacks and locked same-origin policies for web browsers;blacklistable anonymous credentials: blocking misbehaving users without TTPs;how much anonymity does network latency leak?;denial of service or denial of security?;automated detection of persistent kernel control-flow attacks;shunting: a hardware/software architecture for flexible, high-performance network intrusion prevention;highly efficient techniques for network forensics;and preserving privacy in GPS traces via uncertainty-aware path cloaking.

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Building Secure and Decentralized Survey Methodology: A Comprehensive Solution with FIDO2 Authentication and Fluree

Building Secure and Decentralized Survey Methodology: A Comp...

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International conference on communication Systems and Network Technologies (CSNT)

作者： Jawahar Balachandher Chandana Dongre Somanshu Bhattacharyya Rohit Hunashikatti Sarasvathi V Department of Computer Science and Engineering PES University Bangalore Karnataka India

ISBN: (数字)9798331531935

ISBN: (纸本)9798331531942

Traditional survey systems struggle with data immutability, privacy protection, and reliable storage. these limitations compromise transparency, security, and data integrity. this paper proposes a decentralized and secure survey platform to address these challenges. Fast Identity Online 2 (FIDO2) passwordless authentication strengthens user verification, backed by public key cryptography. Fluree, a permissioned blockchain based graph database, ensures decentralized storage and minimizes data tampering. Smart codes are designed based on user requirements, while integrated statistical analyses enhance data insights. this approach of integrating these technologies prioritizes transparency, security, and integrity in the data collection process while maintaining a seamless user experience. By fostering trust among stakeholders, it enables reliable, data driven decision-making.

关键词： Surveys Statistical analysis Decision making Authentication Public key cryptography User experience Blockchains Reliability Stakeholders Protection

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Leveraging Next-Generation Business Intelligence for Proactive Cybersecurity Defense

Leveraging Next-Generation Business Intelligence for Proacti...

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International conference on communication Systems and Network Technologies (CSNT)

作者： Arijit Sengupta Vidyavati Ramteke Symbiosis Centre for Information Technology Symbiosis International (Deemed University) Pune India

ISBN: (数字)9798331531935

ISBN: (纸本)9798331531942

this paper explores how Business Intelligence operates better for protecting cybersecurity through its capability to merge predictive analytics methods with real-time data detection. A qualitative research design enables us to study how BI systems fit into present-day cybersecurity practices, specifically through predictive threat prevention alongside real-time database data. the evaluation process of BI tools leads organizations to select the most valuable system for detecting threats and minimizing risks. We introduce a data-oriented defense system that uses BI tools to implement proactive cybersecurity protection methods. the assessment focuses on implementing obstacles by understanding the main obstacles that stem from data privacy regulations, data overload, and worker skill gaps. the research establishes an orga- nized method which helps organizations use data analytics and automated threat identification to boost their security position through BI-based security tactics. the research shows that BI tools should be incorporated into cybersecurity approaches since they build robust security protocols and decrease vulnerability risks while fostering better resistance against modern security threats.

关键词： Resistance Protocols Prevention and mitigation Organizations Real-time systems threat assessment Regulation Business intelligence computer security Protection

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