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检索条件"任意字段=Proceedings of the 5th ACM Conference on Data and Application Security and Privacy"

共 1519 条记录，以下是121-130 订阅

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Enhancing Cloud Computing data security in Attribute-based Encryption Schemes using Cryptographic Algorithm 5

Enhancing Cloud Computing Data Security in Attribute-based E...

引用

5th International conference on Image Processing and Capsule Networks, ICIPCN 2024

作者： Yuvarani, R. Mahaveerakannan, R. Saveetha Institute of Medical and Technical Sciences Saveetha University Saveetha School of Engineering Department of Computer Science and Engineering Tamilnadu Chennai602105 India

ISBN: (纸本)9798350367171

Attribute-Based Encryption (ABE) is a powerful cryptographic technology used in cloud computing and data security. It allows data owners to control access to encrypted data based on specific characteristics rather than individual user IDs. this makes sure that only systems that satisfy certain requirements or people, who are allowed may decode and view the data. Because of its dynamic and adaptable approach to access management, ABE is a great fit for situations with complex and dynamic access requirements. In response to the threat posed by Quantum Computing, this research study focused on developing Post-Quantum ABE schemes that maintain security while also addressing attributes like verifiability, user privacy, and revocability. A novel ABE system founded on rank metric codes has been proposed. the proposed approach is built on low rank parity check codes with a robust resistance against diverse forms of attacks with a compact key size and rapid execution time, demonstrating notable efficiency when compared to other cryptographic systems. this represents a substantial stride forward in enhancing Cloud Computing in the era of Quantum Computing. © 2024 IEEE.

关键词： Cloud security

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Multi-Modality Mobile datasets for Behavioral Biometrics Research data/Toolset paper 23

Multi-Modality Mobile Datasets for Behavioral Biometrics Res...

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13th acm conference on data and application security and privacy (CODASPY)

作者： Ray-Dowling, Aratrika Wahab, Ahmed Anu Hou, Daqing Schuckers, Stephanie Clarkson Univ Dept Elect & Comp Engn Potsdam NY 13676 USA

ISBN: (纸本)9798400700675

the ubiquity of mobile devices nowadays necessitates securing the apps and user information stored therein. However, existing one-time entry-point authentication mechanisms and enhanced security mechanisms such as Multi-Factor Authentication (MFA) are prone to a wide vector of attacks. Furthermore, MFA also introduces friction to the user experience. therefore, what is needed is continuous authentication that once passing the entry-point authentication, will protect the mobile devices on a continuous basis by confirming the legitimate owner of the device and locking out detected impostor activities. Hence, more research is needed on the dynamic methods of mobile security such as behavioral biometrics-based continuous authentication, which is cost-effective and passive as the data utilized to authenticate users are logged from the phone's sensors. However, currently, there are not many mobile authentication datasets to perform benchmarking research. In this work, we share two novel mobile datasets (Clarkson University (CU) Mobile datasets I and II) consisting of multi-modality behavioral biometrics data from 49 and 39 users respectively (88 users in total). Each of our datasets consists of modalities such as swipes, keystrokes, acceleration, gyroscope, and pattern-tracing strokes. these modalities are collected when users are filling out a registration form in sitting both as genuine and impostor users. To exhibit the usefulness of the datasets, we have performed initial experiments on selected individual modalities from the datasets as well as the fusion of simultaneously available modalities.

关键词： Mobile datasets Continuous Authentication Multi-Modalities Fusion Behavioral Biometrics

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A Tenant-based Two-stage Approach to Auditing the Integrity of Virtual Network Function Chains Hosted on third-Party Clouds 23

A Tenant-based Two-stage Approach to Auditing the Integrity ...

引用

13th acm conference on data and application security and privacy (CODASPY)

作者： Oqaily, Momen Majumdar, Suryadipta Wang, Lingyu Kabir, Mohammad Ekramul Jarraya, Yosr Asadujjaman, A. S. M. Pourzandi, Makan Debbabi, Mourad Concordia Univ CIISE Montreal PQ Canada Ericsson Secur Res Montreal PQ Canada

ISBN: (纸本)9798400700675

there is a growing trend of hosting chains of Virtual Network Functions (VNFs) on third-party clouds for more cost-effective deployment. However, the multi-actor nature of such a deployment may allow a mismatch to silently arise between tenant-level specifications of VNF chains and their cloud provider-level deployment. Most existing auditing approaches would face difficulties in identifying such an integrity breach. First, relying on the cloud provider may not be sufficient, since modifications made by a stealthy attacker may seem legitimate to the provider. Second, the tenant cannot directly perform the auditing due to limited access to the provider-level data, and shipping all such data to the tenant would incur prohibitive confidentiality concerns. In this paper, we propose a tenant-based, two-stage solution where the first stage leverages tenant-level side-channel information to identify suspected integrity breaches, and the second stage then automatically identifies and anonymizes selected provider-level data for the tenant to verify the suspected breaches from the first stage. the key advantages of our solution are: (i) the first stage gives tenants more control and transparency (with the capability of identifying integrity breaches without the provider's assistance), and (ii) the second stage provides tenants higher accuracy (with the capability of rigorous verification based on provider-level data). Our solution is integrated into OpenStack/Tacker (a popular choice for NFV deployment), and its effectiveness is demonstrated via experiments (e.g., up to 90% accuracy with the first stage alone).

关键词： Cloud security NFV security BlackBox auditing security auditing

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threshold spatial keyword ciphertext retrieval with enhanced privacy 24

Threshold spatial keyword ciphertext retrieval with enhanced...

引用

5th International conference on Computer Science and Management Technology, ICCSMT 2024

作者： Wei, Yuanli Chen, Zhenya Yang, Ming Wang, Xin Wu, Xiaoming Shandong Jinan China

ISBN: (纸本)9798400709999

With the rapid development of geolocation technology and the explosive growth of data volumes, massive spatial data has been migrated to cloud storage and processing, which effectively alleviates the pressure on local storage and computing resources but also gives rise to non-negligible security ***, most research focuses on encrypting a single attribute (spatial or keyword) of spatial keyword data, making it difficult to directly address complex geo-keyword range query ***, most existing solutions use Asymmetric Scalar Product Encryption (ASPE) to encrypt data, but ASPE has been proven insecure against known plaintext *** light of this, we propose an Enhanced threshold Spatial Keyword Ciphertext Query (ETSKQ) scheme based on Enhanced ASPE (EASPE).Specifically, this scheme first converts spatial coordinates using Gray codes and achieves efficient compression with wildcard ***, it designs an extension method based on random numbers and Bloom filters to expand the Gray codes, enhancing the flexibility and query efficiency of the data *** terms of keyword processing, thresholds are introduced to encode the keyword set into vectors, and a quadtree index is constructed to support fast and accurate range ***, this paper abandons the traditional ASPE encryption method and adopts EASPE technology instead, ensuring that the data remains indistinguishable even under chosen plaintext attacks (IND-CPA).Extensive experiments have demonstrated the practical effectiveness of our scheme. © 2024 Copyright held by the owner/author(s). Publication rights licensed to acm.

关键词： Ciphertext

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security and Efficient Proven data Procure with privacy in Cloud based storage 5

Security and Efficient Proven Data Procure with Privacy in C...

引用

5th International conference on Inventive Research in Computing applications, ICIRCA 2023

作者： Santhi, K. Reddy, P Jayachandra Tirupati India

ISBN: (纸本)9798350321425

In Cloud computing, computing services are distributed over the internet to provide more rapid innovation, resilient resources and cost reduction. this method allows lower maintenance and cuts down storage costs for the data owner. A security risk also materializes when the owner of the data loses legal and physical control over it. thus, a data inspection is necessary to guarantee cloud security and data integrity. Due to the need to confirm data ownership while retaining privacy, this is becoming a mainstream issue with grown difficulties for data owners. the paradigm, security and Efficiency proven privacy data Property system (security and EPDP) enables efficient privacy-preserving verification while also securing data captured during the labelling of these problems. the addition of multiple ownership, data complexity, and batch identification is now an added benefit. the most fascinating feature of this technique is that the examiner may confirm data possession with little computing effort. the system shows, even if it does not keep the whole file of the user, the malicious cloud may produce proof adequate to satisfy third-party auditor verification. this system analyses and demonstrates the security of the strategy to prevent cloud service providers (CSP) from forging responses without keeping the necessary blocks while defending isolation of data from third-party public auditing (TPA). the most desirable aspect of the suggested system is that it covers all crucial characteristics, including block less verification, privacy protection, batch monitoring, and behavior of data. © 2023 IEEE.

关键词： Cost reduction

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Unmasking the Potential of Usable security and privacy Technologies in Empowering African Digital Landscapes 4

Unmasking the Potential of Usable Security and Privacy Techn...

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4th African conference on Human Computer Interaction (AfriCHI) - Beyond Limits

作者： Gamundani, Attlee M. Namibia Univ Sci & Technol Cybersecur Dept Fac Comp & Informat Windhoek Namibia

ISBN: (纸本)9798400708879

this paper comprehensively explores the intersection of Human-Computer Interaction (HCI), usable security, and privacy technologies within the context of the rapidly digitising African continent. Recognising the increasing digitalisation in Africa, we assert the criticality of focusing on usable security and privacy features to ensure safe and meaningful user engagement. We systematically review existing literature, present five illustrative case studies across different sectors, including finance, health, education, agriculture, and internet services, and highlight their application within Africa's unique socio-cultural and economic realities. Our findings underscore the transformative potential of these technologies in enhancing user experiences, securing data, providing context-specific solutions, considering socio-cultural factors, and fostering accessibility and inclusivity. this paper argues for the vital role of user-friendly, context-specific, and culturally aware technology design in over-coming the digital divide, enhancing the adoption and trust of digital systems, and fostering an inclusive, secure digital ecosystem in Africa.

关键词： Human-centered computing security and privacy Computing Education Applied Computing

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2023 5th Blockchain and Internet of things conference, BIOTC 2023

2023 5th Blockchain and Internet of Things Conference, BIOTC...

引用

2023 5th Blockchain and Internet of things conference, BIOTC 2023

ISBN: (纸本)9798400708213

the proceedings contain 11 papers. the topics discussed include: blockchain capabilities in supply chain management: a literature review;implementing multisignature on a blockchain-based land administration system: securing land rights and enhancing transparency;privacy protection scheme for epidemiological investigation based on blockchain technology;proof of review: trust me, it’s been reviewed;a blockchain-based protocol of trusted setup ceremony for zero-knowledge proof;examination on interoperability of blockchains by using ZK-Rollups: examination of the concept of the method and its practical application;a secure and IoT-enabled data sharing system based on IPFS and IOTA blockchain;and leveraging AI and blockchain for streamlining healthcare payments.

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Towards Fast and Scalable Private Inference 23

Towards Fast and Scalable Private Inference

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20th acm International conference on Computing Frontiers (CF)

作者： Mo, Jianqiao Garimella, Karthik Neda, Negar Ebel, Austin Reagen, Brandon NYU New York NY 10012 USA

ISBN: (纸本)9798400701405

privacy and security have rapidly emerged as first order design constraints. Users now demand more protection over who can see their data (confidentiality) as well as how it is used (control). Here, existing cryptographic techniques for security fall short: they secure data when stored or communicated but must decrypt it for computation. Fortunately, a new paradigm of computing exists, which we refer to as privacy-preserving computation (PPC). Emerging PPC technologies can be leveraged for secure outsourced computation or to enable two parties to compute without revealing either users' secret data. Despite their phenomenal potential to revolutionize user protection in the digital age, the realization has been limited due to exorbitant computational, communication, and storage overheads. this paper reviews recent efforts on addressing various PPC overheads using private inference (PI) in neural network as a motivating application. First, the problem and various technologies, including homomorphic encryption (HE), secret sharing (SS), garbled circuits (GCs), and oblivious transfer (OT), are introduced. Next, a characterization of their overheads when used to implement PI is covered. the characterization motivates the need for both GCs and HE accelerators. then two solutions are presented: HAAC for accelerating GCs and RPU for accelerating HE. To conclude, results and effects are shown with a discussion on what future work is needed to overcome the remaining overheads of PI.

关键词： private inference privacy preserving computation homomorphic encryption garbled circuits

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Slope Selection Regressive Probabilistic Rabin Trapdoor Signcryption based Secure data Transaction in Fog Computing 5

Slope Selection Regressive Probabilistic Rabin Trapdoor Sign...

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5th International conference on Smart Electronics and Communication, ICOSEC 2024

作者： Rajkumaran, T. Shanmugam, T.K. Gobi Arts&Science College Department of Computer Science Tamil Nadu Gobichettipalayam India

ISBN: (纸本)9798331504403

the Internet of things (IoT) has become an integral part of numerous applications, connecting devices to facilitate efficient communication. However, the collection and storage of sensitive information in third-party databases pose significant security risks. Unauthorized access to this data can compromise data confidentiality, integrity, and privacy. Fog computing, operating in conjunction with IoT devices, handles a substantial amount of data and is computationally intensive. the security of fog nodes and IoT devices is paramount due to the potential for malicious exploitation of the data they collect. Cryptography emerges as a crucial method for ensuring data security. this research introduces a novel Slope Selection Regressive Trapdoor Public Key Signcryption (SSR-TPKS) method to enhance data security in fog computing environments. By employing a slope selection regressive function, SSR-TPKS effectively identifies data classes and applies trapdoor public key signcryption for encryption and decryption. Experimental results demonstrate the superiority of SSR-TPKS in terms of data confidentiality, data integrity, and encryption time compared to existing cryptography algorithms. the proposed method achieves a 24% improvement in data confidentiality and a 45% improvement in training time. SSR-TPKS offers a robust and efficient solution for securing data transactions between fog users and fog servers, safeguarding sensitive information in the IoT ecosystem. © 2024 IEEE.

关键词： data integrity

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EEITE 2024 - proceedings of 2024 5th International conference in Electronic Engineering, Information Technology and Education

EEITE 2024 - Proceedings of 2024 5th International Conferenc...

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5th International conference in Electronic Engineering, Information Technology and Education, EEITE 2024

ISBN: (纸本)9798350372878

the proceedings contain 52 papers. the topics discussed include: evaluating the performance of a MIMO channel under tree shadowing for low-altitude UAVs;eco-design applied to FDM 3D printing technology;a tethered unmanned aircraft system for crowd dynamics and unusual pattern extraction;the future of privacy: a review on AI’s role in shaping data security;enhancing industry 4.0 cybersecurity training through cyber range platform;the selectively integrated returns intelligent optimization system – SΕIRIOS;segment anything model for scan-to-structural analysis in cultural heritage;a naive bayes classifier for fault detection and classification using dimension reduction technique;bias detection and correction methods for machine learning algorithms;and perceptions of international students in a higher education institute in Sweden.

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