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A Framework for Big Data security Using MapReduce in IoT Enabled Computing 2

A Framework for Big Data Security Using MapReduce in IoT Ena...

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2nd IEEE International conference on Device Intelligence, Computing and Communication Technologies, DICCT 2024

作者： Kala, Kartikay Makhloga, Kartik Khan, Anayat Pandey, Aishwarya Mittal, Saksham Computer Science & Engineering Graphic Era Hill University Dehradun India

ISBN: (纸本)9798350372847

With the increase in number of IoT devices day by day, a large amount of unstructured, structured and semi-structured data is being generated, collectively termed as big data. The amount of data stored and processed in the cloud is increasing at a rapid pace. The traditional storage devices cannot meet the requirement of the cloud at both hardware and software levels. There is a need for a mechanism which can handle this issue. Hadoop is a platform which can overcome this big data issue. Hadoop uses HDFS and Map Reduce to process large quantity of data in the cloud system. It is also essential to ensure big data security generated by IoT devices and only the authorized users can access the data. Therefore, this research aims to secure big data using RSA. MapReduce is used to process and encrypt big data as it helps in parallel processing of the data in few seconds. This research paper presents a comparative study focused on the encryption time performance in Hadoop, specifically examining the impact of increasing mappers on the overall encryption process. © 2024 IEEE.

关键词： Internet of things

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proceedings - 2023 2nd Asia conference on Electrical, Power and computer Engineering, EPCE 2023

Proceedings - 2023 2nd Asia Conference on Electrical, Power ...

引用

2nd Asia conference on Electrical, Power and computer Engineering, EPCE 2023

ISBN: (纸本)9798350310818

The proceedings contain 40 papers. The topics discussed include: black start scheme of wind-storage combined system based on virtual synchronous generator control;a left ventricle segmentation based on boundary weighted loss and residual feature aggregation;a natural language understanding model based on encoding fusion for power marketing indicator answering;a ship network security assessment model;adaptive large-scale multi-objective evolutionary optimization based on reference solution guidance;analysis of key influencing factors and optimization strategy for safety boundary of converter station;assessment of a multi-step lstm-based ensemble strategy for short-term grid modal parameters forecast;authenticity and uncertainty analysis of enterprise carbon verification data;black start scheme of wind-storage combined system based on virtual synchronous generator control;communication encryption scheme of 5G power trading private network based on dynamic key;and conducted electromagnetic disturbance prediction of electric power robot motor drive system.

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Cybersecurity in Digital Transformation: Challenges and Solutions 2

Cybersecurity in Digital Transformation: Challenges and Solu...

引用

2nd International conference on Advanced Computing and Communication Technologies, ICACCTech 2024

作者： Saini, Kapil Sehrawat, Parul Neeraj School of Computer Science and Engineering Geeta University Haryana Panipat India School of Commerce and Business Management Geeta University Haryana Panipat India

ISBN: (纸本)9798331519056

In the age of digital transformation, cybersecurity becomes a crucial concern, forcing organisations to implement strong security measures to protect sensitive data and ensure operational integrity. This study examines the complex relationship between digital transformation and cybersecurity, high-lighting significant risks and potential advantages that influence existing approaches. By conducting an extensive examination of existing literature, utilising a research approach that combines qualitative and quantitative methodologies, and conducting indepth analyses of specific cases, we thoroughly analyse the development of cybersecurity risks, the influence of emerging technologies like as IoT, AI, and blockchain, and the efficacy of different cybersecurity approaches. The key findings indicate that taking proactive and adaptive cybersecurity measures is not only essential for reducing risks, but also for effectively incorporating digital technology. The study highlights the importance of ongoing investment in cybersecurity, promoting a strategic combination of technology solutions, organisational policies, and regulatory compliance. It is crucial to prioritise the development of a culture that values security and promotes innovation in order to successfully traverse the challenges of digital transformation. This study enhances the debate by outlining the consequences for professionals and policymakers, with the goal of improving cybersecurity resilience in a society that is becoming more digitalized. © 2024 IEEE.

关键词： AI blockchain cybersecurity Digital transformation IoT risk management

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DERD: Data-free Adversarial Robustness Distillation through Self-adversarial Teacher Group 24

DERD: Data-free Adversarial Robustness Distillation through ...

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32nd acm International conference on Multimedia, MM 2024

作者： Zhou, Yuhang Zhang, Yushu Zhang, Leo Yu Hua, Zhongyun Harbin Institute of Technology Shenzhen China Nanjing University of Aeronautics and Astronautics Nanjing China Griffith University Brisbane Australia Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies China

ISBN: (纸本)9798400706868

computer vision models based on deep neural networks are proven to be vulnerable to adversarial attacks. Robustness distillation, as a countermeasure, takes both robustness challenges and efficiency challenges of edge models into consideration. However, most existing robustness distillations are data-driven, which can hardly be deployed in data-privacy scenarios. Also, the trade-off between robustness and accuracy tends to transfer from the teacher to the student, and there has been no discussion on mitigating this trade-off in the data-free scenario yet. In this paper, we propose a Data-free Experts-guided Robustness Distillation (DERD) to extend robustness distillation to the data-free paradigm, which offers three advantages: (1) Dual-level adversarial learning strategy achieves robustness distillation without real data. (2) Expert-guided distillation strategy brings a better trade-off to the student model. (3) A novel stochastic gradient aggregation module reconciles the task conflicts of the multi-teacher from a consistency perspective. Extensive experiments demonstrate that the proposed DERD can even achieve comparable results to data-driven methods. © 2024 acm.

关键词： Adversarial machine learning

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Performance Evaluation of Quantum-Resistant IKEv2 Protocol for Satellite Networking Environments 2

Performance Evaluation of Quantum-Resistant IKEv2 Protocol f...

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2nd IEEE Virtual conference on communications, VCC 2024

作者： Mutlugun, Ahmet Hanna, Yacoub Akkaya, Kemal San Jose State University Department of Computer Science San Jose United States Lab Miami United States

ISBN: (纸本)9798331530099

With the introduction of post-quantum cryptography (PQC) algorithms, there are ongoing efforts to not only standardize the proposed solutions but also consider integrating them into existing network applications and evaluating their performance. This evaluation is especially critical for security-sensitive applications such as satellite communications, where network limitations such as high packet loss and propagation delay pose unique challenges. In this paper, we consider the integration of PQC with one of the widely used security protocols, namely IPSec, by focusing on its key exchange protocol IKEv2. Specifically, we evaluate how PQ key exchange and digital signatures impact the latency compared to existing classical crypto solutions. We demonstrate through simulation how such integration triggers fragmentation that needs to be handled by IKEv2 and quantify the performance overhead due to packet loss or delaying of such fragments when used under satellite networking applications. The results indicate that while higher packet losses pose significant overheads that may hinder the adoption of PQ-based IPSec solutions, this may be subsidized when propagation delays are much higher in satellite networks. © 2024 IEEE.

关键词： Packet loss

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Biometric Aided Intelligent security System Built using Internet of Things 2

Biometric Aided Intelligent Security System Built using Inte...

引用

2nd International conference on Electronics and Renewable Systems, ICEARS 2023

作者： Josphineleela, R. Lekha, D. Natrayan, L. Purohit, Kamlesh Chandra Panimalar Engineering College Department of Computer Science Engineering Poonamallee600123 India R.M.K College of Engineering and Technology Department of Computer Science and Engineering Puduvoyal601206 India Saveetha School of Engineering Simats Department of Mechanical Engineering 602107 India Graphic Era Deemed to Be University Department of Computer Science and Engineering Dehradun248002 India

ISBN: (纸本)9798350346640

Protection is critical for information, property, and even living beings. The usage of IoT and biometrics for security is becoming increasingly common as technology progresses. Facial recognition is widely accepted as a universally applicable, aggregated, and easily accessible biometric technology. Facial biometrics employ the same indicators that humans use to differentiate between persons. This study has investigated the face recognition technology in order to create a dependable door lock system. The biometric face recognition system developed using ESP32-CAM. When a face comes in front of the camera, the system instantly detects and recognizes it. A prototype was created and tested to evaluate the security functionality, effectiveness, and dependability. The findings indicate the result may be utilized effectively improve person's existence and safety, as well as for industrial and residential applications. © 2023 IEEE.

关键词： Biometrics

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AuthSaber: Automated Safety Verification of OpenID Connect Programs 24

AuthSaber: Automated Safety Verification of OpenID Connect P...

引用

31st conference on computer and communications security

作者： Al Rahat, Tamjid Feng, Yu Tian, Yuan Univ Calif Los Angeles Los Angeles CA 90095 USA Univ Calif Santa Barbara Santa Barbara CA USA

ISBN: (纸本)9798400706363

Single Sign-On (SSO)-based authentication protocols, like OpenID Connect (OIDC), play a crucial role in enhancing security and privacy in today's interconnected digital world, gaining widespread adoption among the majority of prominent authentication service providers. These protocols establish a structured framework for verifying and authenticating the identities of individuals, organizations, and devices, while avoiding the necessity of sharing sensitive credentials (e.g., passwords) with external entities. However, the security guarantees of these protocols rely on their proper implementation, and real-world implementations can, and indeed often do, contain logical programming errors leading to severe attacks, including authentication bypass and user account takeover. In response to this challenge, we present AuthSaber, an automated verifier designed to assess the real-world OIDC protocol implementations against their standard safety specifications in a scalable manner. AuthSaber addresses the challenges of expressiveness for OIDC properties, modeling multi-party interactions, and automation by first designing a novel specification language based on linear temporal logic, leveraging an automaton-based approach to constrain the space of possible interactions between OIDC entities, and incorporating several domain-specific transformations to obtain programs and properties that can be directly reasoned about by software model checkers. We evaluate AuthSaber on the 15 most popular and widely used OIDC libraries and discover 16 previously unknown vulnerabilities, all of which are responsively disclosed to the developers. Five categories of these vulnerabilities also led to new CVEs.

关键词： OpenID Connect security single sign-on safety verification automated analysis authorization authentication

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Post Quantum Fuzzy Stealth Signatures and Applications 23

Post Quantum Fuzzy Stealth Signatures and Applications

引用

30th acm SIGSAC conference on computer and communications security (acm CCS)

作者： Pu, Sihang Thyagarajan, Sri AravindaKrishnan Doettling, Nico Hanzlik, Lucjan CISPA Helmholtz Ctr Informat Secur Saarbrucken Germany NTT Res Palo Alto CA USA

ISBN: (纸本)9798400700507

Private payments in blockchain-based cryptocurrencies have been a topic of research, both academic and industrial, ever since the advent of Bitcoin. Stealth address payments were proposed as a solution to improve payment privacy for users and are, in fact, deployed in several major cryptocurrencies today. The mechanism lets users receive payments so that none of these payments are linkable to each other or the recipient. Currently known stealth address mechanisms either (1) are insecure in certain reasonable adversarial models, (2) are inefficient in practice or (3) are incompatible with many existing currencies. In this work, we formalize the underlying cryptographic abstraction of this mechanism, namely, stealth signatures with formal game-based definitions. We show a surprising application of our notions to passwordless authentication defined in the Fast IDentity Online (FIDO) standard. We then present Spirit, the first efficient post-quantum secure stealth signature construction based on the NIST standardized signature and key-encapsulation schemes, Dilithium and Kyber. The basic form of Spirit is only secure in a weak security model, but we provide an efficiency-preserving and generic transform, which boosts the security of Spirit to guarantee the strongest security notion defined in this work. Compared to state-of-the-art, there is an approximately 800x improvement on the signature size while keeping signing and verification as efficient as 0.2 ms. We extend Spirit with a fuzzy tracking functionality where recipients can outsource the tracking of incoming transactions to a tracking server, satisfying an anonymity notion similar to that of fuzzy message detection (FMD) recently introduced in [CCS 2021]. We also extend Spirit with a new fuzzy tracking framework called scalable fuzzy tracking that we introduce in this work. This new framework can be considered as a dual of FMD, in that it reduces the tracking server's computational workload to sublinear in the nu

关键词： Lattices Signatures Post-Quantum security

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Secure Data Transmission in Wireless Body Area Networks: An Energy-Efficient and Route Prediction Methodology 2

Secure Data Transmission in Wireless Body Area Networks: An ...

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2nd IEEE International conference on Device Intelligence, Computing and Communication Technologies, DICCT 2024

作者： Sharma, Rajeev Kang, Sandeep Singh Computer Science and Engineering Chandigarh University GharuanPunjab Mohali India

ISBN: (纸本)9798350372847

Today, Wireless medium-based communication carries lots of benefits to human life with various aspects like telecommunication, medical facilities, military, and many more. If communication is secure, then the impact of communication in the area of wireless communication becomes prior, but the security concern is a major concern in this era. Ensuring the security of Wireless Body Area Networks (WBAN s) is paramount, especially in the context of remote health monitoring. To address this concern, we introduce a novel WBAN-based Secure Remote Location-Based Healthcare Monitoring (SRL-HM) System aimed at monitoring human health remotely. While various security mechanisms exist, cryptography emerges as a robust choice. In our research, we propose an Elliptical Curve Cryptography (ECC) based routing protocol within WBAN, termed Secure Distributed and Energy Efficient Routing (SDEER). This protocol integrates the Feed Forward with Back Propagation Neural Network (F2-BPNN) concept alongside the metaheuristics Particle Swarm Optimization (PSO) algorithm. Our goal is to mitigate security vulnerabilities while also addressing energy constraints inherent in WBANs. Here, we proposed a model using the combination of bio-sensor nodes and communication sensor nodes. A combination of ECC as an encryption approach and SDEER is beneficial footsteps for the distribution of traffic load in the entire network which minimizes the security as well as the energy consumption by selecting the most trusted sensor nodes in the route for the data transmission via trusted authority. © 2024 IEEE.

关键词： Sensor nodes

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The Optimization of IPSec VPN in 5G Mobile Communication Network 23

The Optimization of IPSec VPN in 5G Mobile Communication Net...

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2nd International conference on Networks, communications and Information Technology, CNCIT 2023

作者： Wang, Qianran Wang, Jinhua Huang, Chengbin China Telecom Research Institute China National Engineering Research Center of Cloud and Network Infrastructure Security China

ISBN: (纸本)9798400700620

IPSec protocol has been used to protect user plane transmission in the network layer of 5G mobile communication network. Compared to protocols in the transport layer or higher, IPSec must deal with issues of reliability and fragmentation, which increases its complexity and overhead. Therefore, the implementation of IPSec is quite vital for its application efficiency. In this paper, a kind of method called packet slicing is proposed to promote the processing the efficiency in the principle of segmentation and parallel, which can cut down the network time delay in high traffic scenario. Furthermore, the applicability is verified in the laboratory. The optimization scheme is conducive to popularize IPSec VPN in 5G mobile communication networks. © 2023 acm.

关键词： Efficiency

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