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Fusion Biometric Deep Features Blended in Its Authentication

Fusion Biometric Deep Features Blended in Its Authentication

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Advanced technologies in Intelligent Control, Environment, computing & Communication Engineering (ICATIECE), international conference on

作者： Manjula Gururaj Rao Sumathi Pawar H Priyanka K Hemant Kumar Reddy Usha Divakarala NITTE (Deemed to be University) NMAM Institute of Technology Nitte Karkala Computer Science & Engineering PES University Bangaluru Computer Science & Engineering VIT AP University AP

ISBN: (纸本)9781665493970

Information security is a key factor in a world where technology is developing quickly in terms of data and data interpretations. The most important objective is to have a secure system. Biometrics, OTP generation, iris detection, and other security-related measures are done to secure the system. One of the more established security technologies is the biometric system. In the case of getting the security from the biometrics fails if it depends on only one biometric feature. Nowadays combinations of biometric features are developed to secure the system. The proposed system can have type 1, type 2, type 3 and type 4 security to access the ITS (Intelligent Transport System). The type1 has only one biometric feature. Type 2, 3 and 4 have a blending of 2,3and 4 biometric features. The proposed system considers biometric features such as periocular, iris, fingerprint and voice modulation. We applied the different deep-learning models to get the desired result

关键词： Privacy Biometrics (access control) Smart cities Biological system modeling Transfer learning Authentication Modulation

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IPFS-Based Image Sharing Using Perceptual Hash Code with Digital Right Management 2nd

IPFS-Based Image Sharing Using Perceptual Hash Code with Dig...

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2nd international conference on Emerging technologies for computing, Communications, and Smart Cities, ETCCS 2021

作者： Geethanjali, D. Priya, R. Bhavani, R. Department of Computer Science and Engineering Annamalai University Tamilnadu Chidambaram India

ISBN: (纸本)9789811902833

In the current scenario, a large amount of information is exchanged over the Internet. An unauthorized user access may cause the information to be modified, disseminated, misused, detected, and used. Digital rights management (DRM) is a method of preserving copyrights in digital media. It often requires more elements than simply restricting or prohibiting copies of the content. This strategy includes the deployment of technologies that limit the copying and use of copyrighted works as well as proprietary software. The proposed approach has two modules. They are hash code generation of an image and Store and retrieve the data from IPFS. First, select the watermarked image. The different types of perceptual hashes are average hash, perceptual hash, difference hash, and wavelet hashing. The perceptual hash codes are generated for the selected watermarked image. Then, the watermarked image and created copyright text files are shared through the IPFS system. The goal of this proposed system is to compare the perceptual hashes by using the hamming distance, size of the image, and calculation time. Based on the evaluation, difference hash algorithm provides a better result. So, it is used to check whether the send and retrieve files of IPFS are similar or not. In the IPFS file system, hash codes are used to find the location of a file effectively and securely. This paper proposes, how IPFS and perceptual hashes are preventing unauthorized user access to the system while sharing the images over the Internet. Genuine image authors’ copyrights are protected by using perceptually identical images on a decentralized blockchain IPFS store. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Copyrights

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Cryptochain approach to Cloud computing Security: Case study, Challenges, and Solutions 1

Cryptochain approach to Cloud Computing Security: Case study...

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1st international conference on advances in Computational science and Engineering, ICACSE 2020

作者： Mukherjee, Subham Sandane, Raghav Maharashtra Pune India Maharashtra Pune India

Cryptochain has attracted the new generation of FinTech technologies because of its disruptive security that adapts to teaching time. In particular, it provides security with peer-to-peer authentication, encryption, and hash generation. According to the FinTech sector, the security market's technology sector is predicted to grow to $ 20 billion at the end of 2021. With this, the cryptochain can operate across the whole Internet of Things (Cloud) ecosystem;its programs are predicted to expand. Cloud technology has been widely welcomed in all tech fields for its efficiency and reliability. This paper will discuss the theory of cryptochain technology and elated thermal research methods. We will learn how to sync cryptochain security on a cloud with its secure data solutions. © Published under licence by IOP Publishing Ltd.

关键词： Cloud computing

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EEG-Based Emotion Recognition Using Similarity Measures of Brain Rhythm Entropy Matrix 1

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14th international conference on Brain Inspired Cognitive Systems, BICS 2024

作者： Feng, Guanyuan Wang, Peixian Wu, Xinyu Ren, Ximing Ling, Chen Huang, Yuesheng Wang, Leijun Lv, Jujian Li, Jiawen Chen, Rongjun School of Computer Science Guangdong Polytechnic Normal University Guangzhou510665 China Anhui Provincial Key Laboratory of Multimodal Cognitive Computation Anhui University Hefei230601 China Guangdong Provincial Key Laboratory of Intellectual Property and Big Data Guangdong Polytechnic Normal University Guangzhou510665 China

ISBN: (数字)9789819628827

ISBN: (纸本)9789819628810

Constructing the Brain Rhythm Entropy Matrix (BREM) as a feature for emotion recognition is feasible due to the correlation between brain rhythm activities and arousal/valence levels, as well as the effectiveness of entropy in quantifying such activities. Besides, similarity, a vital metric in bioinformatics, measures the degree of resemblance between internal elements. Building on these foundations, this paper introduces an emotion recognition method that leverages the similarity measures of BREM derived from EEG signals. The results using the DEAP database indicate that the proposed method achieves an accuracy range of 75% to 92% by employing the optimal single-channel data for emotion recognition. Furthermore, significant individual differences were observed in selected channels and time windows for emotion recognition. Such findings not only offer an innovative manner for EEG-based emotion recognition through BREM and similarity measures but also provide advances for designing portable emotion computing devices in the future. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Bioinformatics

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A Methodological Proposal to Foster the Development of Team Work Mediated by ICT in the Subject Software Engineering 17th

A Methodological Proposal to Foster the Development of Team ...

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17th Annual conference of the international-Association-of-Online-Engineering (IAOE) and the Global-Online-Laboratory-Consortium (GOLC) on Remote Engineering and Virtual Instrumentation (REV) - Cross Reality and data science in Engineering

作者： Granda Dihigo, Ailec Colome Cedeno, Dunia Maria Perez Pino, Maria Teresa Patterson Pena, Marisol de la Caridad Casar Espino, Liliana Argelia Diaz Bravo, Tito Univ Informat Sci Havana Cuba

ISBN: (纸本)9783030525750;9783030525743

The purpose of this study is to show some experiences in the methodological development of Software Engineering professors at the University of Informatics sciences by designing a set of group-work methodological and didactic actions, so that professors encourage their students to develop team work and collaborative learning with the help of ICT. The research methods employed were: analysis and synthesis, the systemic approach, the documentary analysis, interviews and scientific observations. A methodological procedure was developed based on the diagnostic analysis of the subject, taking into account the deficiencies from the previous course included in the reports. In this sense the development of teamwork and collaborative learning, using the means offered by ICT was included as a leading objective of the methodological work for the subject. The proposal was validated from the results gathered in the group interviews to professors who applied the set of actions, class observation guides, and the collaborative work developed in the virtual learning environment, as well as interviews to students to know their opinions about their professors performance. The design, development, and control of the actions integrating the methodological work contributed to the fulfillment of the research objective.

关键词： Methodological training Teamwork Collaborative learning Information and communication technologies (ICT)

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Federated Learning with Blockchain: A Study of the Latest Decentralized Couple

Federated Learning with Blockchain: A Study of the Latest De...

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international conference on computing, Communication, and Intelligent Systems (ICCCIS)

作者： Arman Rasool Faridi Aiman Hafeez Faraz Masood Department of Computer Science Aligarh Muslim University Aligarh India

ISBN: (纸本)9781665462013

Federated learning is a method for machine learning that avoids the need to move data by training an algorithm in parallel on a large number of edge devices or servers that hold copies of the training data in their own memory. Conventional decentralized approaches often assume that local data samples are equally distributed, whereas typical centralized machine learning techniques involve uploading all local datasets to a single server. Federated learning has flaws like privacy and insufficient data. Blockchain’s rise offers a safe and effective method for Federated Learning implementation. In this paper, the collaboration of Federated learning and blockchain is discussed. Then the possible applications that can be developed using federated learning and blockchain are discussed. Furthermore, the challenges and opportunities for collaboration between these technologies are explained.

关键词： Training Privacy Machine learning algorithms Federated learning Collaboration Training data Blockchains

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Analysis of Safety-Critical Communication Protocols for On-Premise SIL4 Cloud in Railways 4th

Analysis of Safety-Critical Communication Protocols for On-P...

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4th international conference on Reliability, Safety, and Security of Railway Systems (RSSRail)

作者： Rother, Benjamin Golatowski, Frank Ansar, Zeeshan Kuzhiyelil, Don Resch, Stefan Hametner, Reinhard Pathak, Prashant Univ Rostock D-18051 Rostock Germany SYSGO GmbH Pfaffenstein 8 D-55270 Klein Winterheim Germany Thales Austria GmbH Handelskai 92 A-1200 Vienna Austria DB Netz AG Stresemannstr 123 D-10963 Berlin Germany

ISBN: (纸本)9783031058134;9783031058141

In this paper, we address the question of how SIL4 railway applications within on-premise cloud environments can communicate safely with internal and external systems. The EN 50159 standard is the railway standard applicable for safety-related communication. For IT/OT Security IEC 62443 can be considered. Most standardized protocols developed according to EN 50159 are peer-to-peer protocols involving two communication partners. To leverage the cloud environment, contemporary applications of other domains use a different communication scheme, namely publish-subscribe, to connect internal and external components and enable scalability. Based on this challenge, the goal of this paper is to investigate emerging communication protocols from different domains and their suitability for the railway system. We will first determine the requirements for the railway communication infrastructure and applications executed in a SIL4 cloud, i.e., an environment provided by on-premise data centers utilizing technologies such as virtualization and with other cloud-like features, such as scalability and flexible usage of resources. Furthermore, a brief comparison of the potential application-layer communication protocols from industrial domains with railway-specific safety-critical protocols will be presented. Finally, we will present a system architecture that demonstrates how safe communication can be realized by middleware protocols such as DDS or OPC UA and how they fulfill the previously established requirements for the railway system.

关键词： SIL4 Safety Railway SIL4 cloud Protocols Safe computing platform

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Reimagining Algorithmic Governance Cultural expressions and the negotiation of social imaginaries 22

Reimagining Algorithmic Governance Cultural expressions and ...

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12th Nordic conference on Human-Computer Interaction: Participative computing for Sustainable Futures, NordiCHI 2022

作者： Pötzsch, Holger Pereira, Gabriel UiT The Arctic University of Norway Norway Dept of Media and Communications London School of Economics and Political Science United Kingdom

ISBN: (纸本)9781450396998

This paper investigates the means through which a series of artistic works invite critical responses to algorithmic governance and the systems of surveillance and data capture these draw upon. In combining the theoretical frameworks of Cornelius Castoriadis, Jacques Ranciére, and Chantal Mouffe, we conceptualize how, and to what possible effects, art can engage politics and focus the discussion on concrete techniques through which selected works and performances question contemporary systems of algorithm-based management and control. Firstly, we offer an introduction to Cornelius Castoriadis's [13] theoretical framework regarding an imaginary institution and reproduction of society. So far, his concepts have been treated in a rather metaphorical manner in the literature on algorithmic governance and we set out to provide a thorough theoretical grounding of this valuable framework. We then add Jacques Ranciére's [49, 51] concept of a distribution of the sensible and draw upon Chantal Mouffe's [47] theories of art, democracy, and hegemony to account for art's political function. As a second step, we focus on specific media artworks that respond to concrete instances of algorithmic governance by defamiliarizing and transgressing received social imaginaries to enable an active reshaping of received technologies and sedimented practices. We identify and illustrate a selection of tactics available to artists to question and contain these increasingly automated systems;including appropriating, rejecting, inverting (perspectives, scales, values/norms), and creating alternatives. We show how these tactics are deployed to invite a subversion and reimagination of dominant algorithmic imaginaries and the specific frames of sensing, speaking, and doing they imply. Our objective is to give an overview of available artistic tactics, and to facilitate further research of, and critical engagements with, algorithmic forms of governance and their enactments of surveillance and automat

关键词： Automation

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Bug Recognition using Hybrid Fuzzy Logic algorithm and Support Vector Machine classification

Bug Recognition using Hybrid Fuzzy Logic algorithm and Suppo...

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advances in computing, Communication Control and Networking (ICAC3N), international conference on

作者： K. Ananthi M. Balakrishnan M. Pandi N. Senthil Madasamy Artificial Intelligence &Data Science Dr.Mahalingam College of Engineering and Technology Coimbatore Tamil Nadu India Computer Science and Engineering Dr.Mahalingam College of Engineering and Technology Coimbatore Tamil Nadu India

In data mining and pattern recognition, the Support Vector Machine is an extensively used classification technique. The tuning weight methods and the distance of the metrics used in a Support Vector based classification system are important. The problem of determining the best feature weight values and measuring the distance between neighbors, which affects the Support vector machine's classification accuracy, is a key obstacle. For parameter optimization, a hybrid approach is applied in this paper. To quantify the equalities between thetraining data set and the test data set are observed and the similarity measuring approach known as the fuzzy distance metric is used. Additional work, such as creating a unique fuzzy membership function and membership degrees for each dataset, adds time to the design process for these hybrid systems. To improve the classification model's precision, this automated approach will heuristically explore the optimal bounds of fuzzy membership functions for each dataset. Additionally, looking into the optimal boundaries may decrease error rates and improve accuracy in the proposed system. The experimental results will be implemented into a real-world classification challenge sourced from the UCI machine-learning benchmark library.

关键词： Measurement Fuzzy logic Weight measurement Training Computer bugs Support vector machine classification Machine learning

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A comprehensive survey of state-of-art techniques in digital watermarking

A comprehensive survey of state-of-art techniques in digital...

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advances in computing, Communication Control and Networking (ICAC3N), international conference on

作者： Sachin Allwadhi Kamaldeep Joshi Ashok Kumar Yadav Rainu Nandal Rishabh Jain Deptt. of Computer Science & Engg M.D.University Rohtak Haryana India Amity School of Engg. & Technology Amity University Noida U.P India Deptt. of Computer Science & Engg Galgotias College of Engineering and Technology Greater Noida India

Digital image watermarking refers to implanting secret information for copyright protection, content authentication of a given media to avoid future conflicts or illegal possession of data. A number of applications are present today for which suitable watermarking techniques can be used to mitigate this problem. Based on the domain, image watermarking can be categorized into spatial or transformation domains. Transform domain techniques are widely used by researchers because of their robustness and security. There is always a tradeoff between robustness, payload, and imperceptibility as maintained by various researchers that is also reviewed. Also, this paper presents various state-of-art watermarking techniques with their performance metrices such as PSNR, MSE, NC, BER, etc. along with their limitations. This survey help the researcher to develop a new watermarking model based on the application domain.

关键词： Digital images Computational modeling Authentication Watermarking Transforms Media Copyright protection

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