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Intrusion Detection for Internet of Vehicles using Machine Learning 14

Intrusion Detection for Internet of Vehicles using Machine L...

引用

14th International conference on Computing communication and Networking Technologies, ICCCNT 2023

作者： Bajpai, Soumya Sharma, Kapil Chaurasia, Brijesh Kumar Amity University Madhya Pradesh Computer Science and Engineering MP Gwalior India Pranveer Sing Institute of Technology Computer Science and Engineering Kanpur India

ISBN: (纸本)9798350335095

the Internet of Vehicles (IoV) has replaced vehicular networks as the preferred paradigm as a result of the enormous expansion in computer and network capabilities. Because of the dynamic IoV's diverse nature necessitates effective resource management, which calls for cutting-edge technologies like Software Defined Networking (SDN), Machine Learning (ML), and others. In Software Defined-IoV (SD-IoV) networks, Road Side Units (RSUs) are in charge of network effectiveness and provide a number of safety features. However, it is not practical to deploy enough RSUs, and the current RSU placement does not provide complete coverage of an area. Furthermore, any lapse in network security or performance has a negative influence on driving. thus, the objective of this study is to increase security in an IoV network by using different types of Machine learning Algorithm to increase network efficiency. As a result, it is suggested to use XG-BOOST Learning Algorithm placement method to decrease communication time while expanding coverage among IoV devices. Along with this method, this paper is works on the IoV network by using CAN-OITDS Dataset. the comparative study of conventional ML algorithms shows that the IDS detects the malicious attack on IoV with the help of XGBOOST with high accuracy of 96.04%. © 2023 IEEE.

关键词： Vehicles

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A Brief Study on Cloud security 14

A Brief Study on Cloud Security

引用

14th International conference on Computing communication and Networking Technologies, ICCCNT 2023

作者： Ajith, Abhay Mathew, Adharsh S Remya, S. Amrita Vishwa Vidyapeetham Amrita School of Computing Department of Computer Science and Engineering Amritapuri India

ISBN: (纸本)9798350335095

Distributed, parallel, and grid computing are all used in a kind of computing known as cloud computing. It serves as a flexible, affordable, and tried-and-true online delivery platform for IT services marketed to businesses or consumers. the outsourcing of critical services to external entities has become a common practice, and this trend has led to various challenges in ensuring the security and privacy of data, maintaining data availability and recovery, and ensuring compliance. Cloud computing, in particular, has added a new layer of complexity to these issues and has introduced additional risks. Cloud computing makes use of many different technologies. Additionally, it carries along its inherent security flaws. Customer access to networks, storage, servers, services, and applications is made possible by cloud technology thanks to how well the pay-per-use model's services function. Our main goal is to locate and connect these systems' weaknesses, threats, and remedies. © 2023 IEEE.

关键词： Cryptography

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Quantum Key Distribution for ADS-B Data Transmission security in Aircraft 14

Quantum Key Distribution for ADS-B Data Transmission Securit...

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14th International conference on Computing communication and Networking Technologies, ICCCNT 2023

作者： Zaher, Ahmad Rabaa, Judy Kumar, Lanke Ravi Rajesh Pandian, N. University Department of Computer Science and Engineering Bangalore India University Department of Aerospace Engineering Bangalore India

ISBN: (纸本)9798350335095

this research aims to investigate the security concerns of Automatic Dependent Surveillance-Broadcast (ADS-B) communication in the aviation industry and propose the Quantum Key Distribution (BB84) algorithm to generate a symmetric key using the principles of quantum mechanics and use it as a secret key for all encryption/decryption algorithms used in the ADS-B system to increase the security level and avoid any security concerns. ADS-B is a critical technology for air traffic control, providing real-time position and velocity information to air traffic controllers. However, the security of ADS-B communication is a major concern, as it is vulnerable to various security threats, including eavesdropping, data manipulation and injection attacks that could lead to accidents and loss of life. To ensure safe and efficient air travel, A reliable and secure communication system for ADS-B is essential. In this study, we will provide a comprehensive literature review of ADS-B communication and existing encryption methods. We will evaluate the performance of the proposed BB84-Quantum algorithm through simulations and assess its effectiveness in securing ADS-B communication. Our research aims to provide insight into the potential application of the proposed algorithm in the aviation industry. the proposed algorithm's originality lies in its use of quantum mechanics principles to provide secure communication between aircraft and ground stations, ensuring a safe connection for sending and receiving messages in ADS-B packets. © 2023 IEEE.

关键词： Aircraft accidents

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A Decentralized BYOD Authentication System secure against ReEntrancy Attacks 14

A Decentralized BYOD Authentication System secure against Re...

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14th International conference on Computing communication and Networking Technologies, ICCCNT 2023

作者： Mamoon, Mohd Saim, Mohammad Shah, Ilma Samad, Abdus Aligarh Muslim University Zakir Husain College of Engineering and Technology Department of Computer Engineering Aligarh India

ISBN: (纸本)9798350335095

the concept of BYOD has been around in the corporate world for a while now which allows employees to bring and use personal devices for organizational work. However, the onset of such a trend also brought major security issues leading to compromise in the organization's data and resources. Current solutions to such security issues do exist, nevertheless, most of them are bound by constraints and may also face backlash from the workforce community. Blockchain technology has the potential to address the security threats associated with BYOD by providing decentralized authentication, immutable records and employing signature-based algorithms. In this paper, an Ethereum-based blockchain application has been proposed using smart contracts to authenticate employees' devices and detect unauthorized access. this paper also explains how blockchain can be adopted to address the issue of ReEntrancy attacks where a malicious user can exploit vulnerabilities in smart contracts and steal funds from decentralized applications. © 2023 IEEE.

关键词： Blockchain

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SDN-based Firewall using Machine Learning 14

SDN-based Firewall using Machine Learning

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14th International conference on Computing communication and Networking Technologies, ICCCNT 2023

作者： Kiran, G. Yashwanth Harshith, Koganti Sri Sai Sai, A.M. Abhishek Eswar, Kalla Likhit Sai Nair, Lekha S. Amrita Vishwa Vidyapeetham Amrita School of Computing Department of Computer Science and Engineering Amritapuri India

ISBN: (纸本)9798350335095

Due to the widespread use of the Internet, the traditional destination-based forwarding which includes two steps: (1) match and (2) action, has caused much stress on the network due to its traffic and security issues. With SDN, network control has become simpler. In addition to simplification, network security has always been a critical aspect of networking, where a firewall helps to secure traffic by enforcing some security policies. Based on the packet headers, this firewall can detect malicious packets and then drop or block them. In this paper, we present a firewall that uses an intuitive machine-learning algorithm to detect malicious packets based on the header. the firewall has been implemented in two SDN controllers: (1) RYU controller and (2) POX, for a simple mesh topology and compared based on packet loss and delay. © 2023 IEEE.

关键词： Controllers

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BSeVS - A Smart e-Voting System based on Blockchain Technology 14

BSeVS - A Smart e-Voting System based on Blockchain Technolo...

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14th International conference on Computing communication and Networking Technologies, ICCCNT 2023

作者： Gupta, Sweta Gupta, Kamlesh Kumar Shukla, Piyush Kumar UIT-RGPV Computer Science & Engineering Bhopal India Rustamji Institute of Technology Information Technology Gwalior India

ISBN: (纸本)9798350335095

security and privacy has always been a major concern for wider adoption of electronic voting systems since the election results have both major economic and political influences all around the world. the challenges of an e-voting system like anonymity, secrecy, verifiability and authenticity is yet to be fixed and can be resolved by utilizing the Blockchain technology. Blockchain technology can improve voting process security, transparency, immutability, and dependability. Blockchain is a distributed, digital, consensus-based system for securely storing information. In this paper, a Blockchain based Smart e-Voting System (BSeVS) is implemented, which is utilizing the Hash functions and Elliptic Curve Cryptography to resolve the issues of the e-voting scheme. It enhances the end to end safety of e-voting mechanism without compromising the integrity and authenticity of voting environment. the results show that the BSeVS is performing better than existing voting schemes in terms of security and time complexity. © 2023 IEEE.

关键词： Blockchain

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Anomaly-based Intrusion Detection System for ICS 14

Anomaly-based Intrusion Detection System for ICS

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14th International conference on Computing communication and Networking Technologies, ICCCNT 2023

作者： Prasanna, S.S. Selvan, G. S. R. Emil Ramkumar, M.P. Thiagarajar College of Engineering Dept of Computer Science and Engineering Tamil Nadu Madurai India

ISBN: (纸本)9798350335095

Industrial Control Systems (ICS) become a crucial target for hackers as these devices are unsupported in terms of storage, complex computations, and security. On the other hand, providing security for these devices are very difficult. Because small downtime of these devices will lead to financial loss and reputation loss for the industry. Sometimes, even it may lead to a disaster. We should also ensure that there are no heavy workloads present in this Operational Technology (OT) network. Hence, the intrusion detection systems for ICS should operate with high levels of accuracy utilizing resources as low as possible. In this paper, an anomaly-based ICS intrusion detection system is proposed. the proposed model uses Pearson Correlation for feature selection and Deep Neural Network for detection. the suggested solution is put to the test using an HIL-based Augmented ICS security dataset. the results show that the proposed model has a good fit and achieves a higher accuracy rate. © 2023 IEEE.

关键词： Intrusion detection

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Design of a Novice-Friendly Drone Control System 14

Design of a Novice-Friendly Drone Control System

引用

2024 IEEE 14th Annual Computing and communication Workshop and conference, CCWC 2024

作者： Cheng, Jinsai Mahmud, Saifuddin Mohammed, Misbahuddin Singh, Aditi Kim, Jong-Hoon Kent State University College of Aeronautics and Engineering United States Bradley University Computer Science & Information Systems United States Cleveland State University Computer Science United States Kent State University Computer Science United States

ISBN: (纸本)9798350360134

In recent times, aerial robots have gained prominence in critical applications such as natural disaster response and social security. However, existing control interfaces like joysticks and touch screens often pose significant challenges for untrained users, particularly in complex tasks and remote operations. this study introduces an innovative, novice-friendly drone control system, leveraging the familiar framework of a conventional car steering system combined with a VR headset for visual feedback. this design aims to provide an immersive, carlike experience to users unfamiliar with UAV operation. the core objective is to bridge the knowledge gap for inexperienced users, enabling them to effectively control drones in critical scenarios. To evaluate the system's efficiency and user experience enhancement, we devised an indoor search-and-rescue experiment simulating an earthquake disaster scenario. the study includes a comparative analysis between traditional joystick control and our car steering-based system. Additionally, we will conduct a comprehensive user study to assess the improvement in user experience offered by our interface. this research contributes to making drone technology more accessible and effective for general users, particularly in high-stakes environments. © 2024 IEEE.

关键词： Human robot interaction

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Shmoodle: communication through Collaborative Drawing with an Emotionally Controlled Color Palette 22

Shmoodle: Communication through Collaborative Drawing with a...

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14th acm Creativity and Cognition conference Series (C and C)

作者： Sagie, Ariel Rinott, Michal Shenkar Design Engn Art Azrieli Fac Design Dept Grad Studies Design Ramat Gan Israel Shenkar Design Engn Art Kadar Design & Technol Ctr Ramat Gan Israel Ben Gurion Univ Negev Art Software & Informat Syst Engn Beer Sheva Israel

ISBN: (纸本)9781450393270

Virtual communication has turned into a necessity in current culture. Although major technological breakthroughs were made in the past decade, virtual communication platforms do not prioritize the emotional connection between people. Shmoodle is an online platform in which two participants communicate orally while doodling with each other virtually on a shared canvas. Designed to favor emotional exchange over efficiency and clarity, Shmoodle integrates the users' facial expressions into the conversations via control over the brush color and responds to synchronous facial expressions via the canvas background color. Initial testing with three pairs of users revealed that drawing and exploring the effects of the platform together gave them a heightened sense of connection and a playful disposition.

关键词： Shared drawing Interpersonal synchronization computer mediated communication Emotion recognition Critical design

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Image-based DeepFake Detection Using Artificial Intelligence 14

Image-based DeepFake Detection Using Artificial Intelligence

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14th IEEE International conference on communication Systems and Network Technologies, CSNT 2025

作者： Singh, Shailendra Kumar Kumar, Gautam Dubey, Aditya Kumar Yadav, Ritik Rai, Vishal Sharma, Anil Department of Computer Science and Engineering Amity University Noida India

ISBN: (纸本)9798331531935

the increasing sophistication of deepfake technology poses significant risks to privacy, security, and public trust in digital media. As a result, deepfake detection has become a critical research area, with artificial intelligence -driven approaches playing a central role. this paper presents a comprehensive analysis of convolutional neural network -based deepfake detection methods, highlighting key challenges such as dataset limitations, social media compression effects, real-time detection constraints, and the rapid evolution of manipulation techniques. While existing detection models demonstrate promising accuracy, challenges remain in terms of generalizability, computational efficiency, and robustness against complex manipulations, including audio and full-body deepfakes. this study explores strategies to enhance detection performance through data augmentation and optimized architectural design. Furthermore, it discusses potential future directions, such as leveraging multimodal analysis, federated learning, and explainable AI, to improve the reliability and adaptability of deepfake detection systems. © 2025 IEEE.

关键词： Convolutional neural networks

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