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Dynamic Trust Management in IoT networks using Reputation-Based systems

Dynamic Trust Management in IoT Networks using Reputation-Ba...

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2024 international conference on distributed systems, computer networks and Cybersecurity, ICDSCNC 2024

作者： Naidu, D J Samatha Jain, Upma Shruthi, S. Rao, K. B. V. Brahma Iqbal, Syed Mohammad Uzair Natrayan, L. Annamacharya Pg College of Computer Studies Department of Master of Computer Applications India Graphic Era Deemed to Be University Department of Computer Science & Engineering Dehradun India Bms Institute of Technology and Management Department of Artificial Intelligence and Machine Learning Bengaluru India Koneru Lakshmaiah Education Foundation Department of Computer Science and Engineering India Symbiosis Law School Department of Law Pune India Simats Saveetha School of Engineering Department of Mechanical Engineering India

ISBN: (纸本)9798350375442

The Internet of Things (IoT) enables intelligent data exchange across many kinds of interconnected devices in a diverse and unpredictable physical setting. The Internet of Things (IoT) network used in this study is a cluster-based sensor network that includes a base station and an application server that offers various services in a cloud setting. In this setting, assaults may occur in both device-to-device and user-to-device communication. For pervasive devices with limited resources, the use of conventional encryption techniques to address this problem is not practical. In addition, the majority of current trust-based security solutions either address the user level or the devices level. Therefore, this study aims to tackle environment-specific security concerns at the device and user levels in light of the environment's inherent dynamic and dispersed nature. This research explored the usage of a Trust Based security Framework (TBSF) and Reputation Based systems in the Internet of Things (IoT) to accurately describe the actions of devices and users. Fuzzy logic was used to calculate both the device trust and the user trust. A trust-based access control system, secure cluster head selection, and safe routing were all built using these trust values. At first, the security of device-to-device communication was addressed by the design and effective implementation of the Trust Aware Device Access Control System (TADACS). © 2024 IEEE.

关键词： Access control

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Advanced security for IoT networks: A Novel Approach to Intrusion Detection and Feature Selection

Advanced Security for IoT Networks: A Novel Approach to Intr...

引用

2024 international conference on distributed systems, computer networks and Cybersecurity, ICDSCNC 2024

作者： Mittal, Akhil Nedunoori, Venkata Ieee Department of Cybersecurity Ieee Department of Software Engineering

ISBN: (纸本)9798350375442

The quick development of Internet of Things (IoT) has brought about concerns regarding the security of interconnected networks and devices. This requires the utilization of effective Intrusion Detection System (IDS) to mitigate cyber-attacks. The exiting methods struggle to capture the relevant features because they cannot capture the suitable features for classification. In this article, the Golden Strategy - Crystal Structure Algorithm (GS-CryStAl) and Gated Recurrent Unit (GRU) approach are developed to detect the intrusions in IoT. The GS-CryStAl-based feature selection algorithm is designed to choose the appropriate features from the whole feature subset by eliminating the irrelevant and inappropriate features. Subsequently, the selected features are classified by using the GRU classifier that effectively identifies intrusions with high accuracy. The proposed GS-CryStAl and GRU approach achieves 99.97% accuracy, 99.95% recall, 99.95% f1-score and 99.95% precision on the CICIoT 22 dataset, while on the CIC-IDS-2018 dataset, it achieves 99.21% accuracy, 98.69% recall, 98.71% f1-score and 99.95% precision. Hence, the proposed approach exhibits better performance compared to other conventional techniques. © 2024 IEEE.

关键词： Network intrusion

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Potential Possibilities of Voice Pattern Recognition by a distributed Fiber Optic Sensor 23rd

Potential Possibilities of Voice Pattern Recognition by a Di...

引用

23rd international conference on Next Generation Wired/Wireless networks and systems (NEW2AN) / 16th conference on Internet of Things and Smart Spaces (RuSMART)

作者： Gubareva, Olga Yu Dashkov, Michael V. Makarov, Igor S. Gureev, Vladimir O. Evtushenko, Alexander S. PovolzhskiyState Univ Telecommun & Informat Lva Tolstogo 23 Samara 443010 Russia

ISBN: (纸本)9783031609930;9783031609947

Currently, ensuring information security (IS) is one of the priorities of a state's national policy. One of the most important tasks of IS is the precise identification of users within information systems. Biometric methods of identification and authentication are considered the most reliable. To address the challenge of identifying a user's identity based on acoustic signals, the utilization of existing fiber-optic communication lines with installed vibro-acoustic monitoring systems at the controlled facility has been proposed.

关键词： fiber-optic communication lines vibro-acoustic monitoring systems security mel frequency cepstral coefficients

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Optimized Biometric Authentication using MTCNN and Dynamic Signature Detection: A Unified Approach for Enhanced security

Optimized Biometric Authentication using MTCNN and Dynamic S...

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2024 international conference on distributed systems, computer networks and Cybersecurity, ICDSCNC 2024

作者： Harakannanavar, Sunil S Keerthana, G V. Jayasree Shubha, K. Srushti, S.K. Nitte Meenakshi Institute of Technology Department of Electronics and Communication Engineering Bangalore India

ISBN: (纸本)9798350375442

Automatic photo and signature detection using MTCNN (Multi-task Cascaded Convolutional networks) is a vital component in various applications such as identity verification and document processing. MTCNN, initially designed for face detection, has been adapted to detect signatures and other features with remarkable accuracy. Performance metrics including precision, recall, F1-score, and accuracy are used to evaluate its effectiveness. In photo detection, MTCNN exhibits high precision, recall, and accuracy, making it suitable for tasks like facial recognition and person identification. In signature detection, while precision, recall, and accuracy remain moderate to high, MTCNN proves adept at recognizing signatures in documents and forms and the model performs results better with an accuracy of 98.65%. © 2024 IEEE.

关键词： Authentication Protocol

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TruChain: A Blockchain-based Access Control to Improve the security of Smart Water Grid systems 17

TruChain: A Blockchain-based Access Control to Improve the S...

引用

17th international conference on COMmunication systems and networks, COMSNETS 2025

作者： Mondal, Susmita Chakraborty, Suchetana Indian Institute of Technology Department of Computer Science and Engineering Jodhpur India

ISBN: (纸本)9798331531195

Water is a significant resource in day-to-day life, and it usually requires technological association for comprehensive management. Smart Water Grids (SWG) typically use cyberphysical systems (CPS) to monitor several parameters associated with water quality and distribution, leveraging the possibility of performing remote operations. For robust architecture, remote operations rely on application-specific sensors, communication networks, edge control, and cloud computation. Needless to say, the centralized control of edge and cloud infrastructure is prone to attacks and failures, such as unauthorized access or single-point-of-failure. We propose TruChain, a Blockchain-based access control mechanism to eliminate the probability of access takeover and aggregate quorum-based validation on sensory data for transparent provenance reliability. We also provide access revocation to strengthen security by restricting access to sensitive data stored in a privately distributed cloud. We believe our solution has empirical decentralization and a verifiable authorization method by maintaining a tamper-evident, auditable trail of interactive events, building trust without third-party intervention. © 2025 IEEE.

关键词： Cloud security

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Quantum Cryptography Techniques for Enhancing security in IoT Communications

Quantum Cryptography Techniques for Enhancing Security in Io...

引用

2024 international conference on distributed systems, computer networks and Cybersecurity, ICDSCNC 2024

作者： Naga, Suresh Bysani Venkata Kotiyal, Arnav Battula, R.S.S. Raju Patil, Harshal Dharangutti, Yogesh Natrayan, L. Eightfold.ai Ex - Cohesity CA United States Graphic Era Deemed to Be University Department of Computer Science & Engineering Dehradun India Aditya University Department of Computer Applications Surampalem India Iilm University School of Computer Science & Engineering Greater Noida India Department of Law Pune India School of Engineering Simats Department of Mechanical Engineering Saveetha Kuthambakkam India

ISBN: (纸本)9798350375442

A system of wirelessly communicative sensors embedded in a person's clothing. In order to remotely monitor and treat a patient's health, sensor devices are embedded in clothing, skin, and the human body itself. Healthcare, the military, sports, and remote treatment are just a few of the modern WBSN applications. It improves people's quality of life by allowing for more precise and quicker disease diagnosis as well as more timely care and more effective treatment. Even if a patient is far away from medical care, WBSN can still save their life. Despite the numerous benefits that WBSN technology brings to healthcare systems, there are legitimate concerns about security and privacy when it comes to collecting and transmitting physiological data about humans in an open setting. Ensuring the security of physiological data during transmission in a wireless environment is a challenging but crucial task. Key distribution, authentication, data integrity, and data confidentiality are just a few of the many security issues plaguing the WBSN. In tackling the WBSN security issues, this research contributes significantly. Secure transmission in wireless networks and high attack resistance are both provided by the cryptographic computational process. Nevertheless, the unsecure transmission of keys across networks is the sole vulnerability of public and private key cryptography methods. Attackers can easily crack traditional key sharing protocols used by communicating parties. Intruders can compromise the system's security in its entirety if they obtain the secret key. In WBSN, a secure way to generate and distribute secret keys is required. The EBB84QCP is a method for creating and sharing secret keys between communicating parties. Rather than using two prime numbers, the Enhanced and Modified RSA Cryptosystem (EMRSACS) suggests using four prime numbers for key generation, encryption, and decryption. Data transmission in wireless networks still involves a secret quantum key that is

关键词： Quantum cryptography

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Image Cryptography using AES-256 Algorithm

Image Cryptography using AES-256 Algorithm

引用

2024 international conference on distributed systems, computer networks and Cybersecurity, ICDSCNC 2024

作者： Chandel, Taniska Gangodkar, Ninad Gautam, Abhiraj Lohumi, Yogesh Ghazi, Mohd Rehan Goyal, Ashtha University Department of Computer Science and Engineering Dehradun India Graphic Era Hill University School of Computing Dehradun India

ISBN: (纸本)9798350375442

Due to the advancement of technology, information security and user privacy have become a critical issue resulting in the use of various encryption techniques. Especially with the increasing use of social networking, it has become necessary to secure multimedia messages and prevent data threats and data manipulation. Image Cryptography focuses on the encryption of images and securing them from unauthorized access and protect their confidentiality and integrity. In order to encrypt and decode pictures, this paper focuses on the Advanced Encryption Standard Algorithm (AES) which is a symmetric encryption algorithm. Furthermore, it reflects on the efficiency of the algorithm by determining the security of the algorithm using various parameters like entropy, NPCR, MSE and Histogram analysis. For better comparison all five of AES modes are presented in this paper;Electronic Codebook (ECB), Cipher Block Chaining (CBC), Cipher Feedback (CFB), Output Feedback (OFB), and Counter (CTR). Overall, it can be concluded that AES is a secure algorithm that can be used for safe data transfer. Furthermore, through the result of the parameters used to determine the security of each mode of the AES algorithm, it can further be concluded that CTR mode of the algorithm is the most secure. © 2024 IEEE.

关键词： Encryption algorithms

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Optimal Codes for distributed Storage

Optimal Codes for Distributed Storage

引用

international conference on Computing, Networking and Communications (ICNC)

作者： Ren, Jian Li, Jian Li, Tongtong Michigan State Univ Dept ECE E Lansing MI 48824 USA Beijing Jiaotong Univ Sch Elect & Informat Engn Beijing Peoples R China

ISBN: (纸本)9781665457194

Regenerating codes are a class of distributed storage codes that allow for efficient repair of failed nodes, as compared to traditional erasure codes, which enables it to achieve high data reliability, security, and cost-efficiency and a critical infrastructure of the computing system. Existing data storage largely depends on a centralized cloud, which is not only costly but also vulnerable to single points of failure and other types of security attacks. To provide data security, data encryption has to be used, which requires extensive computing power and cumbersome key management. distributed storage system (DSS) is being widely viewed as a natural solution to future online data storage due to improved access time and lower storage cost. However, the existing DSS also has the limitations of low storage efficiency and lack of data security. In this paper, we investigate multi-layer code-based distributed data storage systems that can achieve inherit content confidentiality and optimal storage efficiency. Our comprehensive shows that the optimal code can improve the reliable data storage by nearly 50% comparing to the existing state-of-art research.

关键词： distributed data storage regeneration code optimal storage adversarial networks

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security threat detection performance analysis of a distributed architecture WSN 19

Security threat detection performance analysis of a distribu...

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19th international conference on Future networks and Communications, FNC 2024 / 21st international conference on Mobile systems and Pervasive Computing, MobiSPC 2024 / 14th international conference on Sustainable Energy Information Technology, SEIT 2024

作者： Arreaga, Nestor X. Estrada, Rebeca Blanc, Sara Noboa, Andres Vera, Nelson ESPOL Polytechnic University Escuela Superior Politecnica del Litoral Campus Gustavo Galindo Km. 30.5 Via Perimetral Guayaquil090902 Ecuador ITACA Universitat Politecnica de Valencia Camino de Vera s/n Valencia Valencia46022 Spain

IoT technologies are becoming more and more common in our daily activities because the networks they create are capable of collecting information, monitoring and controlling remotely. However, these devices are not exempt from security attacks, as they become vulnerable entry points to data networks. The use of traditional methods to secure networks (e.g., Next Generation Firewalls (NGFW), encryption, etc.) is not recommended because the devices used in this type of network are limited in terms of computing power and storage availability (e.g., nodeMCU). In this paper, we propose to design two intrusion detection systems in embedded systems using machine learning (ML) algorithms, Artificial Neural networks and K-means. In a distributed architecture Wireless Sensor Network scenario (WSN), we evaluate their performance in terms of connection and response times, detection accuracy and intruder detection time. Simulation results show that both models are able to find irregularities in network traffic within milliseconds. © 2024 The Authors. Published by Elsevier B.V.

关键词： Network intrusion

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Comparison Of Emotion Through Text Analysis Using Various Deep Learning Models 3

Comparison Of Emotion Through Text Analysis Using Various De...

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3rd IEEE international conference on Blockchain and distributed systems security, ICBDS 2024

作者： Trimukhe, Harshita Sanjay Pagare, Rutuja Anil Salunke, Shreya Sandeep Rafeeque, Afeefa Noor, Rasheed Baig, Salman Mmantc Malegaon Computer Engineering Department Malegaon India

ISBN: (纸本)9798350354348

In this study, we investigate the efficacy of Convolutional Neural networks (CNN), Recurrent Neural networks (RNN), Long Short-Term Memory networks (LSTM), and Bidirectional LSTMs (BiLSTM) for emotion classification tasks, which are crucial in natural language processing for applications ranging from sentiment analysis to mental health monitoring. After preprocessing textual data and encoding it into numerical representations suitable for deep learning models, we train multiple architectures with varied configurations and hyperparameters. Evaluation based on accuracy, precision, recall, and F1-score reveals distinct strengths and weaknesses of each model. CNNs excel in capturing local features, RNNs adeptly model sequential dependencies, LSTM networks overcome vanishing gradient issues for long-range dependencies, and BiLSTMs outperform by incorporating bidirectional information flow, enhancing contextual understanding. Our findings offer valuable insights into selecting appropriate deep learning models for emotion analysis, advancing the state-of-the-art in these fields, and guiding practitioners in their applications. © 2024 IEEE.

关键词： Convolutional neural networks

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