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检索条件"任意字段=International Conference on. Cryptology and Network Security with Machine Learning, ICCNSML 2023"

共 48 条记录，以下是1-10 订阅

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international conference on. cryptology and network security with machine learning, iccnsml 2023

International Conference on. Cryptology and Network Security...

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international conference on. cryptology and network security with machine learning, iccnsml 2023

ISBN: (纸本)9789819706402

The proceedings con.ain 58 papers. The special focus in this conference is on.cryptology & network security with machine learning. The topics include: Video Steganography Techniques: A Comprehensive Review and Performance Evaluation.real-Time Authenticated and Secure Mon.toring and Con.rol of Low-Cost Sustainable Hydropon.c System in Cloud;secure Design and Implementation.of Smart Traffic Light Management System;Investigation.of Sinkhole Attacks and network Simulation.on.6LoWPAN;a Note on.5G networks: security Issues, Challenges and Con.ectivity Approaches;Intrusion.Detection.in IoT Devices Using ML and DL Models with Fisher Score Feature Selection.hybrid Encryption.Technique for Securing Cloud Data;A Comprehensive Review on.Transforming security and Privacy with NLP;Multimodal Attention.CNN for Human Emotion.Recognition.Supervised learning Approaches for Deceit Identification. Exploring EEG as a Non.invasive Technique;a Novel Technique to Secure Telemedicine Using Blockchain and Visual Cryptography;blockchain-Based Cryptocurrency Payment System Model for Business-To-Con.umer E-Commerce Platforms;sensor Node Design Optimization.Methods for Enhanced Energy Efficiency in Wireless Sensor networks;on.Assessment of Risk Factors for Cardiovascular Disease Complexities Utilizing q-Rung Picture Fuzzy Multi-criteria Decision.Making Approach;correctness Proof of the Verification.of ‘A Combined Public Key Scheme in the Case of Attribute-Based for Wireless Body Area networks’;Con.estion.Management Techniques in WSNs: A Comparative Study;Enhancing Privacy in VANET Through Attribute-Based Encryption.and Blockchain Integration. Uncovering the Benefits and Challenges;ioT-Based Face Mask and Temperature Detection.Using Arduino;A Secure RSA-Based Image Encryption.Method;Enhancing FHE Over the Integers: Beyon. Binary Numbers and Batch Processing;a Study on.Designated Verifier Signature Schemes and Their Variants;blockchain Application.in Real Estate in India.

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Challenges, Attacks, and Countermeasures for security in MANETs-IoT

Challenges, Attacks, and Countermeasures for Security in MAN...

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international conference on. cryptology and network security with machine learning, iccnsml 2023

作者： Priyam, Anuja Yadav, Anita Department of Computer Science and Engineering Harcourt Butler Technical University Kanpur India

ISBN: (纸本)9789819706402

The integration.of Mobile Ad hoc networks and the Internet of Things offers innovative application. but also presents significant security challenges. This paper explores these challenges, con.idering the decentralized nature of both MANETs and IoT. security vulnerabilities, including unauthorized access and malicious attacks, emerge due to factors like node mobility and resource con.traints. Existing security mechanisms are examined and found insufficient for this combined environ.ent. The primary security issues are con.identially, integrity, availability, blackhole, wormhole, grayhole, rushing, flooding, attacks, authentication. intrusion.detection. and trust management tailored to MANET-IoT systems. The urgent need for comprehensive security strategies to ensure safe operation.of this ecosystem is emphasized. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Internet of things

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Advancing network Anomaly Detection. Comparative Analysis of machine learning Models

Advancing Network Anomaly Detection: Comparative Analysis of...

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international conference on. cryptology and network security with machine learning, iccnsml 2023

作者： Pandey, Rashmikiran Pandey, Mrinal Nazarov, Alexey Department of Radio Engineering and Cybernetics Moscow Institute of Physics and Technology Moscow Russia Federal Research Center Computer Science and Control Russian Academy of Science Moscow Russia

ISBN: (纸本)9789819706402

In the rapidly evolving realm of cyber-security, the detection.of network anomalies serves as a pivotal line of defense against a myriad of malicious activities and cyberthreats. This research undertakes the task of enhancing the accuracy and efficacy of network anomaly detection.by employing a comparative analysis of various individual machine learning models. The study delves into the performance of distinct models, including Random Forest, Gradient Boosting, AdaBoost, neural networks, and SVM, meticulously scrutinizing their capabilities in detecting network anomalies. The crux of this study lies in its meticulous evaluation.of each individual model on.the revered NSL-KDD dataset—an established benchmark within the field of network intrusion.detection. Through a systematic blend of rigorous mathematical frameworks, precise model implementation., and comprehensive experimental assessments, this research offers a deep understanding of the inner workings of each algorithm. The pivotal aspect of this study revolves around the comprehensive comparative analysis of these standalon. models. Going beyon. the mere quantifica-tion.of accuracy, the exploration.delves into aspects of precision. recall, F1-score, and more, shedding light on.their diverse facets of performance. With achieved accuracies of 99.2419% for Random Forest, 99.5197% for Gradient Boosting, 86.6044% for AdaBoost, 84.00% for neural networks, and 87.00% for SVM, this research underlines the distinctive attributes and potential of each model in the con.ext of network anomaly detection. As the study unravels the distinct strengths and limitation. of each model, it con.ributes to the broader landscape of cyber-security by providing insights into the efficacy of individual machine learning approaches. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Support vector machines

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Investigation.of Sinkhole Attacks and network Simulation.on.6LoWPAN 1

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international conference on. cryptology and network security with machine learning, iccnsml 2023

作者： Singh, Shreya Gupta, Megha Sharma, Deepak Kumar Indira Gandhi Delhi Technical University for Women Delhi India Mata Sundari College for Women Delhi India

ISBN: (数字)9789819706419

ISBN: (纸本)9789819706402

Sinkhole attacks have been the most dangerous threat to security in recent times. The attackers send malicious requests to Domain Name Server (DNS) that causes unavailability of services and redirects the victim to the destination.designed by the malicious attacker. The malicious attacker with the help of these compromised devices forms a BOTNET and uses it for malicious purposes like ransomware, extortion. unauthorized access, fraudulent attempts, data theft, financial gains, eavesdropping, repudiation. etc. The attacker node or the sinkhole node was placed at three different location. to observe the change in count of DIO messages. The purpose of this research was to detect that at what location. can attacker gather a large amount of data. It was observed that when the attacker node was placed at the edge and alon. the communication.links, there was a significant increase in the count of DIO messages. This means that at these points, attacker can gather a lot of information. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Crime

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Analysis of security Aspect in Cloud Implementation. A Case Study of Google Cloud Provider

Analysis of Security Aspect in Cloud Implementation: A Case ...

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international conference on. cryptology and network security with machine learning, iccnsml 2023

作者： Shrivastava, Somesh Son., Manish Kumar Pratap, Ajay Bansal Institute of Engineering and Technology Uttar Pradesh Lucknow India AIIT Amity University Uttar Pradesh Lucknow Uttar Pradesh Lucknow India

ISBN: (纸本)9789819706402

Virtually all organization. have embraced cloud computing to differing extents in their operation.. However, alon. with this adoption.of cloud technology, it’s imperative to ensure that the organization.s cloud security strategy is equipped to safeguard against the primary threats to cloud security. The largest worry with cloud computing is security, which also prevents many con.umers from using these services. The security con.erns at various cloud infrastructure layers are presented in-depth in this article. We delve into the attributes and methods of delivery presented by cloud computing, alon. with the con.eivable hurdles and limitation. encountered during its integration.into the business environ.ent. Our analysis extends to the cybersecurity aspects associated with cloud computing, with a specific focus on.intrusion.detection.and prevention.mechanisms, as well as their applicability within the cloud con.ext. In this research paper, we have implemented the Google Cloud Platform for security con.ideration.. Paper also discusses about provider and customer respon.ibility ratio for better security of cloud environ.ent. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Cloud security

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Demon.tration.of MITM Attack in Synchrophasor network Using MAC Spoofing

Demonstration of MITM Attack in Synchrophasor Network Using ...

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international conference on. cryptology and network security with machine learning, iccnsml 2023

作者： Tiwari, Amit Verma, Shivam Shukla, Varun Indian Institute of Technology Kanpur UP Kanpur India Pranveer Singh Institute of Technology Kanpur UP Kanpur India

ISBN: (纸本)9789819706402

Communication.is critical for power system operation.and con.rol. Data transfer via digital means is vulnerable to security and privacy con.erns. Man-in-the-middle (MITM) attacks pose a risk to the data integrity of synchrophasor values transferred as digital data within the smart grid. The purpose of this research is to demon.trate how utilizing Media Access Con.rol (MAC) spoofing instead of Address Resolution.Protocol (ARP) spoofing can improve the stealth and robustness of MITM attacks in synchrophasor networks and to provide a thorough understanding of the weaknesses and possible risks present in synchrophasor networks when they are the target of MITM attacks, highlighting network elements and targets. After a session.hijack, when bogus data was eventually injected, it was evaluated and processed by the phasor data con.entrator (PDC), ensuring con.istent networking and the attacker's non.detectability. For generic experiment results, different sub-networks based on.the master–slave topology of synchrophasor networking and commercially available phasor measurement unit (PMU) and PDC were used in a laboratory-scale setup. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Phasor measurement units

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A Comprehensive Review on.Transforming security and Privacy with NLP 1

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international conference on. cryptology and network security with machine learning, iccnsml 2023

作者： Garg, Rachit Gupta, Anshul Srivastava, Atul Jain University Bangalore India SP Jain School of Global Management Dubai United Arab Emirates Amity School of Engineering and Technology Lucknow Lucknow India

ISBN: (数字)9789819706419

ISBN: (纸本)9789819706402

The revolution.ry field of natural language processing has broad implication. for privacy and safety. This article reviews the wide range of natural language processing uses for privacy protection. Through a systematic literature review, we identify the most important natural language processing approaches employed for various forms of security, such as phishing email detection. cyberthreat analysis, anomaly detection. and privacy-aware text processing. We also discuss the moral issues that must be taken into account while implementing NLP, including defenses against adversarial assaults, good AI protocol, and safeguards for person.l data. While examining the possible benefits and hazards of NLP systems, the study emphasizes the significance of respon.ible and ethical use. The future scope is also discussed to strengthen NLP’s utilization.in the domain of privacy and security in data-driven era. This study is of related interest to researchers, practition.rs, and policymakers in learning about natural language processing and how it relates to security and privacy. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Natural language processing systems

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Privacy and security of Bio-inspired Computing of Diabetic Retinopathy Detection.Using machine learning

Privacy and Security of Bio-inspired Computing of Diabetic R...

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international conference on. cryptology and network security with machine learning, iccnsml 2023

作者： Kumar, Manoj Kumar, Atulya Kashish Bhargava, Mimansa Singh, Rudra Pratap Shukla, Anju Shukla, Varun VIT Bhopal University Bhopal-Indore Highway Kothrikalan Madhya Pradesh Sehore466114 India Kanpur India

ISBN: (纸本)9789819706402

The diagnosis and detection.of numerous diseases has advanced significantly in the healthcare sector, which is always changing. on. illness that has significantly impacted humankind is diabetes, a con.ition.that directly impacts blood glucose levels. Glucose, or sugar, is the primary source of energy for our bodies, and it is derived from the food we con.ume. Insulin, produced by the pancreas, assists glucose in entering the cells of the body. But diabetics are either unable to use their own insulin well or do not create enough of it, resulting in increased levels of carbohydrates in the body. New diseases are being diagnosed at an alarming rate, which is indicative of the impact that changes in our lifestyle habits have had on.our health. This paper is about fulfilling two major objectives, i.e. (i) The dataset has been made secured by applying encryption.generation.key to it. This will help in maintaining the privacy of the patients and also will avoid unauthorized access. (ii) Secon.ly, in order to predict diabetic retinopathy in the patient’s various machine learning models have been used. This work truly shows the importance of data security and data preservation.using cryptography (Fernet). It can help clinicians in making better decision. during critical stages of treatment. Our findings show how well machine learning and data security operate to diagnose diabetic retinopathy, and they also point to areas that could be improved in the future with the use of deep learning models and frameworks. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Insulin

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Setting up an OpenVPN Server on.the Google Cloud Platform

Setting up an OpenVPN Server on the Google Cloud Platform

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international conference on. cryptology and network security with machine learning, iccnsml 2023

作者： Prakash, Vijay Jain, Chirag Rathi, Raghav Garg, Lalit Shukla, Varun School of Computer Science University of Petroleum and Energy Studies Dehradun India Faculty of ICT University of Malta Msida Malta Department of Computer Science and Engineering Graphic Era Hill University Dehradun India Kanpur India

ISBN: (纸本)9789819706402

This paper presents an overview of setting up a Virtual Private network (VPN) using OpenVPN on.the Google Cloud Platform (GCP). With remote work becoming increasingly popular, VPNs provide a secure and reliable solution.for employees to access cloud resources from any location. OpenVPN is an open-source VPN solution.that offers advanced security features, making it a preferred choice for businesses and organization.. Google Cloud Platform provides a secure and scalable infrastructure for deploying a VPN, including global load balancing and network security features. The article outlines the deployment of OpenVPN Access Server on.a GCP virtual machine instance and the con.iguration.of user authentication.and authorization. network settings, and security policies. Creating a virtual machine instance is the first step in setting up a VPN using OpenVPN on.GCP. The OpenVPN Access Server is then deployed on.the virtual machine instance, and user authentication.and authorization.protocols are con.igured. network settings such as IP address range, routing, and firewall rules must also be con.igured to ensure that on.y authorized traffic can pass through the VPN. Testing and mon.toring the VPN infrastructure is essential to ensure optimal performance and reliability. This involves testing VPN con.ectivity from remote clients and mon.toring network traffic and server logs for unusual activities. However, setting up a VPN using OpenVPN on.GCP provides a secure and scalable infrastructure for remote access to cloud resources. With the outlined steps, organization. can deploy a VPN infrastructure quickly and efficiently, with advanced security features and the flexibility to scale as their needs evolve. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： network security

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A Real-Time IoT-Enabled Biometric Attendance System

A Real-Time IoT-Enabled Biometric Attendance System

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international conference on. cryptology and network security with machine learning, iccnsml 2023

作者： Tripathi, Ashish Choudhary, Arjun Srivastava, Arun Kumar Kharbas, Vikash Kumar Shukla, Varun Department of CSE SCSE Galgotias University Greater Noida India Centre for Cyber Security Sardar Patel University of Police Security and Criminal Justice Jodhpur India Department of Computer Science and Engineering Lloyd Institute of Engineering & Technology Greater Noida India Department of Computer Science and Engineering Vivekananda Global University Jaipur India Kanpur India

Nowadays, biometric attendance system is applicable in various organization. to ensure the person.#39;s identity. The system takes parameters such as person.#39;s voice, fingerprint, retina, and face to authenticate t... 详细信息

ISBN: (纸本)9789819706402

Nowadays, biometric attendance system is applicable in various organization. to ensure the person.s identity. The system takes parameters such as person.s voice, fingerprint, retina, and face to authenticate the person. In order to track students’ daily attendance when they enroll in college, this article provides a biometric attendance system that uses blockchain technology. Both the daily and cumulative attendance of each student over the course of a chosen period of time, or mon.h, is displayed by this system. The proposed system is designed to provide the cost-effective, systematic, and feasible solution.to keep real-time attendance of the students against the existing manual system. Also, a webpage is designed for the same to provide a user-friendly and flexible platform to the students and faculty both to check the student's attendance. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Internet of things

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