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3rd international symposium on intelligent information technology and security informatics, IITSI 2010

3rd International Symposium on Intelligent Information Techn...

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2010 international symposium on intelligent information technology and security informatics, IITSI 2010

ISBN: (纸本)9780769540207

The proceedings contain 176 papers. The topics discussed include: a small world network based grid resource discovery mechanism;a quay crane assignment approach for berth allocation problem in container terminal;performance analysis of an improved single neuron adaptive PID control;distributed key management scheme for large scale pay-TV application;representing non-deterministic actions within the situation calculus for autonomous characters;on the way to design an optical camera lens for river sediment in underwater imaging;the application research of wireless sensor network in the prison monitoring system;a verifiable copyright-proving scheme based on lifting wavelet transformation;analysis on the integration of ERP with e-business;genetic algorithm-based evaluation model of teaching quality;research on component composition with formal semantics;an improved ant colony algorithm for VRP problem;and the study of electrocardiograph based on radial basis function neural network.

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Data Privacy and security in Healthcare Systems Using Blockchain: A Review

Data Privacy and Security in Healthcare Systems Using Blockc...

引用

international symposium on Advanced Computing and Communication (ISACC)

作者： Bijit Barman Satyajit Sarmah Dept. of Information Technology Gauhati University Guwahati India

ISBN: (数字)9798331523893

ISBN: (纸本)9798331523909

In healthcare, blockchain can enable secure and transparent management of electronic medical records (EMRs), enabling shared connectivity and data security across different representatives or stakeholders while preserving and securing patient confidential data, accuracy, and precision. An evidence-based affirmation can increase trust among patients, vendors, and regulators by reducing hazards related to illegal access & data breaches. Blockchain can overcome centralized systems that do not have access to it. This review intended to study how to preserve and secure healthcare data against external attacks. For these, a blockchain-based distributed system of storing electronic medical records (EMRs) is viewed where transactions will be kept in InterPlanetary File System (IPFS). This will ensure the security of EMRs and ease of sharing among the different stakeholders.

关键词： Data privacy Regulators Reviews Medical services Hazards Blockchains InterPlanetary File System Stakeholders Electronic medical records intelligent systems

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A Review of Signature Schemes for Enhanced information Retrieval and Privacy in Blockchain Systems

A Review of Signature Schemes for Enhanced Information Retri...

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international symposium on Advanced Computing and Communication (ISACC)

作者： Mustak Sheikh Chandan Kalita Department of Information Technology Gauhati University Guwahati India

ISBN: (数字)9798331523893

ISBN: (纸本)9798331523909

Blockchain technology has revolutionised data sharing and storage by offering decentralised, impenetrable solutions in a variety of fields. But because of its intrinsic transparency, there are serious privacy issues, especially when handling sensitive data. To improve information retrieval and protect user privacy in blockchain systems, this paper offers a thorough analysis of many cryptographic signature algorithms. It looks at the advantages and disadvantages of current strategies, highlights important obstacles, and talks about possible fixes to privacy issues. This paper also provides a comparative evaluation of related works according to criteria like security, scalability, and efficiency. The knowledge acquired aids in the creation of privacy-protecting techniques that maximise data retrieval in blockchain-based applications.

关键词： Privacy Technological innovation Protocols Quantum computing Reviews Scalability Medical services information retrieval Blockchains Interoperability

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Generative Adversarial Networks for Synthetic Data Generation in Privacy-Preserving Health informatics

Generative Adversarial Networks for Synthetic Data Generatio...

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international symposium on Advanced Computing and Communication (ISACC)

作者： Vineet Kumar Hassan Safi Ahmed M. Shailaja B Karthikeyan Malik Bader Alazzam R Saravanakumar Symbiosis Centre for Management Studies Pune Symbiosis International (Deemed University) Pune Maharashtra India Department of Biomedical Engineering Al-Farahidi University Baghdad Iraq Department of DataScience MallaReddy University Hyderabad Telangana India Department of CSE KPR Institute of Engineering and Technology Coimbatore India Faculty of Information Technology Jadara University Irbid Jordan Department of ECE Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai India

ISBN: (数字)9798331523893

ISBN: (纸本)9798331523909

Privacy preserving health informatics deals with the problem of how to obtain informative analysis from the health-related information while ensuring that the privacy of individuals is protected. This paper presents the first framework that employs GANs for synthetic data generation in the context of health informatics to overcome the presented shortcomings and expand on existing literature. In this framework, the solution is presented through the utilization of GANs which presents a nucleation point in developing synthetic datasets that reproduce the density and distribution of real patient data. Employing PLMs in conjunction with synthetic as well as original datasets, led to accurate classification rates of above 98%. These results raise the possibility of the synthetic data generated by model substituting the original data for machine learning purposed while maintaining high accuracy and, arguably most importantly, privacy of the individual in question. Therefore, our work presents a major advance toward bridging the paradigm of health data usability and protection.

关键词： Privacy Differential privacy Accuracy Machine learning Generative adversarial networks Bioinformatics Usability Protection intelligent systems Synthetic data

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Low Resolution Deepfake Face Detection using Multi-Scale Discrete Cosine Transform and Vision Transformer

Low Resolution Deepfake Face Detection using Multi-Scale Dis...

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international symposium on Advanced Computing and Communication (ISACC)

作者： Main Uddin Zhangjie Fu Xiang Zhang Abu Bakor Hayat Arnob School of Computer Science Nanjing University of Information Science and Technology Nanjing China School of Artificial Intelligence Nanjing University of Information Science and Technology Nanjing China

ISBN: (数字)9798331523893

ISBN: (纸本)9798331523909

Deepfake technology uses generative adversarial networks to produce highly authentic counterfeit images and videos, which raises a significant global security concern by disseminating fake information through online platforms, especially on social media. Researchers have developed sophisticated models for deepfake detection, demonstrating high performance on high-resolution images. However, their effectiveness significantly diminishes when applied to low-resolution images. We propose a simple framework that utilizes multi-scale discrete cosine transform and vision transformer for low-resolution deepfake face detection. This framework introduces a multi-scale frequency filter fusion approach to extract subtle frequency features in the frequency domain. Our proposed network has been tested on the FaceForensics++ and Celeb-DF datasets, and it outperforms existing models, achieving superior AUC and F1 scores.

关键词： Deepfakes Image resolution Social networking (online) Frequency-domain analysis Transformers Feature extraction Discrete cosine transforms Face detection security intelligent systems

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A Proactive Approach for Securing VANETs Against Gray-Hole Attacks

A Proactive Approach for Securing VANETs Against Gray-Hole A...

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international symposium on Advanced Computing and Communication (ISACC)

作者： Arunkumar M Janaranjani M Pavithra K Dept of Information Technology IFET College of Engineering Villupuram TamilNadu

ISBN: (数字)9798331523893

ISBN: (纸本)9798331523909

VANETs are embedded in roads to improve the safety attributes and efficiency of traffic movement due to real-time communication from vehicles to roadside infrastructures. However, VANET is very susceptible to security attacks;grayhole attack was identified as one of the biggest risks. In a gray hole attack, a rogue node selectively drops packets without giving any notice, which could put the communication in danger. Based on the described trust-based framework for detecting anomaly-based grayhole attacks and mitigating, it will thus provide a proactive solution regarding the security aspect for VANETs. Our approach is put into practice and tested using NS-3, simulating a dynamic VANET environment with various traffic scenarios for performance evaluation. The strategy proposed would seem to encourage the system packet delivery ratio through suppression of gray hole attacks but with a latency that will not increase the network latency sharply. This will provide VANETs with an extremely efficient security mechanism and ultimately create safer and more reliable networks for the vehicular communication system.

关键词： Performance evaluation Simulation Roads Vehicular ad hoc networks Network security Real-time systems Safety Reliability Vehicle dynamics Resilience

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RSA Performance and Low Hamming Weight Small Prime Public Exponent

RSA Performance and Low Hamming Weight Small Prime Public Ex...

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international symposium on Advanced Computing and Communication (ISACC)

作者： Soram Ranbir Santosh Sharma Kongbrailatpam Haobijam Jina Devi Takhellambam Sonamani Naorem Natasha Sapam Jitu Manipur Institute of Technology Manipur University Imphal National Institute of Electronics and Information Technology TS Paul Manipur Women’s College Imphal

ISBN: (数字)9798331523893

ISBN: (纸本)9798331523909

When it comes to cryptography, RSA is one of the most used algorithms. It is still cryptographically secure when signing data over the internet. A study carried out on 582 servers (including 253 financial servers) by the authors in October and November of 2024 found that, despite the growing number of digital certificates based on elliptic curves, 83.4% of the servers still use RSA algorithms, compared to just 11.5% that use elliptic curve-based algorithms, and the remaining 5% that use both. Although RSA is mathematically secure, protocols and implementations of RSA may still create a security lapse. We believe there are a number of reasons for this security breach, such as the usage of flawed keys created from weak primes, which occurred with "DigiCert Certificates" in 2019. In this paper, we have conducted an experimental analysis of RSA's performance and talked about the potential benefits and vulnerabilities of using a low Hamming weight small prime public exponent in RSA.

关键词： Protocols Quantum computing Elliptic curves Public key Organizations Elliptic curve cryptography Web servers Encryption Hamming weight intelligent systems

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A Hybrid Framework for Secure Group Communication Using Quantum-Classical Cryptography and Reinforcement Learning

A Hybrid Framework for Secure Group Communication Using Quan...

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international symposium on Advanced Computing and Communication (ISACC)

作者： P.S Renisha Bhawana Rudra Department of Information Technology National Institute of Technology Surathkal Karnataka India

ISBN: (数字)9798331523893

ISBN: (纸本)9798331523909

This research work describes a framework for secured and effective way of group interaction incorporating classical cryptography and quantum communication technique. This framework employs a classical cryptographic methods for group logistics like as transmitting of messages and membership management while employing quantum communication strategy for secure key distribution and related authentication. In order to increase the flexibility and data-security of the proposed system further, a supervisor learning based mechanism is incorporated into the framework where reinforcement learning will employed in controlling the interaction of the protocols and the decision-making processes in an active manner. This combination of classical, quantum and supervisor learning strategies gives a solution to the issues of scalability, efficiency, effective and timely actionable response to increasing cyber threats especially in the era of quantum computing. The framework is highly effective and secured for group interaction in distributed network infrastructures. It will be a leading the approach for advanced cryptographic mechanism in the future.

关键词： Quantum computing Accuracy Scalability Intrusion detection Authentication Reinforcement learning Cryptography Reliability Standards Quantum communication

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Comprehensive security Analysis and Threat Mitigation Strategies for Software-Defined Networking (SDN) Environments

Comprehensive Security Analysis and Threat Mitigation Strate...

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international symposium on Advanced Computing and Communication (ISACC)

作者： Ajit Karki Raktim Deb School of Information Technology The ICFAI University Sikkim Gangtok India School of Science and Technology The ICFAI University Tripura Agartala India

ISBN: (数字)9798331523893

ISBN: (纸本)9798331523909

Software Defined Networking (SDN) is a new networking standard that significantly reduces the complexity of network administration tasks. SDN is considered a networking breakthrough. Additionally, it provides a flexible interface that allows for network innovation by controlling the network’s general behavior. However, for many years, traditional IP networks were difficult to maintain, prone to errors, and difficult to grow with new features. The idea is derived from the separation and abstraction of the data plane and the control of conventional network devices. Better segmentation, scalability, programmability, faster delivery, and increased service and experience quality are all advantages of this separation for network operations. To make system administrators' tasks more at ease, SDN has been suggested as a prospective standard for a symbolized and rationally integrated network administration plane. By separating the control and data planes, SDN enables network configuration through programmability. This paper provides a comprehensive explanation of SDN, covering its numerous levels and their purposes, to keep up with the new technologies accelerated development. Keywords: Software defined networking, Control plane, Data plane, IP.

关键词： Technological innovation Scalability Prevention and mitigation Robustness security IP networks Software defined networking Trust management Protection Standards

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Towards finding Hybrid Machine Learning Models for detection of IoT Botnets

Towards finding Hybrid Machine Learning Models for detection...

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international symposium on Advanced Computing and Communication (ISACC)

作者： Richy Laskar Rakesh Das Rahnak Laskar Samarjit Das Meghna Dasgupta Bachelor of Technology in Computer Science and Engineering The Assam Royal Global University Guwahati Assam Royal School of Information Technology The Assam Royal Global University Guwahati Assam Royal School of Engineering Technology The Assam Royal Global University Guwahati Assam

ISBN: (数字)9798331523893

ISBN: (纸本)9798331523909

The rapid expansion of Internet of Things (IoT) devices has significantly increased their vulnerability to cyber-attacks, with IoT botnets posing a critical threat by enabling distributed denial-of-service (DDoS) attacks, data exfiltration, and other malicious activities. Traditional security measures often fall short of effectively mitigating these threats due to the resource limitations of IoT devices. This research explores the use of machine learning (ML) models for IoT botnet detection, focusing on Support Vector Machine (SVM), Random Forest (RF), and Decision Tree (DT) techniques. Furthermore, two hybrid models are proposed: Isolation Forest (IF) combined with SVM for anomaly detection and classification, and K-Means clustering integrated with Random Forest to enhance detection accuracy. These models are evaluated based on key performance metrics, including accuracy, precision, recall, and F1 score, to identify their effectiveness in detecting IoT botnets. The study demonstrates the potential of ML-based approaches, particularly hybrid models, to strengthen IoT security and overcome the limitations of traditional methods in resource-constrained environments.

关键词： Support vector machines Radio frequency Accuracy Biological system modeling Botnet Forestry Internet of Things Decision trees Random forests Anomaly detection

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