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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"

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Hanuma: An Advanced Safety Solution Using GPS and Sensor Technologies for Women's security 5

Hanuma: An Advanced Safety Solution Using GPS and Sensor Tec...

引用

5th International conference on Sustainable Communication Networks and application, ICSCNA 2024

作者： Sunitha, M. Raghavendra, C. Alekya Rani, Y. Srujan, S. Nihar, K. CVR College of Engineering Department of Cyber Security Hyderabad India Hyderabad India

ISBN: (纸本)9798331530013

Hanuma is an innovative Android application designed to empower women in emergency situations. By integrating advanced sensor technology, it automatically sends pre-programmed emergency messages, including real-time GPS coordinates, to designated contacts upon activation through the power button or shake-to-trigger functionality. Built with a robust Java backend and integrated with the Open Map API for precise location services, Hanuma provides a user-friendly interface and reliable performance. By combining cutting-edge technology with a proactive approach, Hanuma serves as a comprehensive safety solution, empowering women to feel more secure and take control of their personal safety. this application prioritizes user privacy and data protection, ensuring secure and confidential use of the platform. © 2024 IEEE.

关键词： Global positioning system

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Integrating Federated Learning and IoT for privacy-Preserving Smart Healthcare Systems 5

Integrating Federated Learning and IoT for Privacy-Preservin...

引用

5th International conference on Sustainable Communication Networks and application, ICSCNA 2024

作者： Revathy, G. Nandhini, T. Senthilvadivu, S. Mariyammal, M. Sastra Deemed University Srinivasa Ramunjan Centre Department of CSE Tamil Nadu Kumbakonam India Pioneer college of arts and science Department of CS Coimbatore India Saveetha University Department of CSE Chennai India Chennai Institute of technology Department of CSE Chennai India

ISBN: (纸本)9798331530013

Significant privacy issues have been raised by the massive amounts of sensitive health data generated by the Internet of things' (IoT) rapid proliferation of smart healthcare systems. Researchers are looking into integrating federated learning (FL) with IoT for smart healthcare applications in order to overcome these issues. Federated learning is a machine learning technique that enables dispersed organizations or devices to work together to build a common model without explicitly sharing local data. this preserves user privacy while facilitating the creation of robust models. FL makes it easier to train machine learning models directly on decentralized IoT devices in smart healthcare, protecting patient privacy by preventing the transmission of raw data. Additionally, FL and blockchain technology improve data security, privacy, and integrity by offering a decentralized model management mechanism. Establishing the groundwork for a revolutionary future in tailored medicine and early illness diagnosis, this FL and IoT integration holds significant promise for creating sophisticated, privacy-preserving smart healthcare systems that enable proactive, customized healthcare treatments. © 2024 IEEE.

关键词： Federated learning

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Convergence of Blockchain and Iot 5th

Convergence of Blockchain and Iot

引用

5th International conference on data Science, Machine Learning and applications

作者： Gopichand, G. Aleti, Rajashekar Tarini, Ranjana R. Tallam, Rahul Yenigandla, Venislaus Ashish Vellore Inst Technol Vellore Tamil Nadu India

ISBN: (纸本)9789819780334;9789819780310;9789819780303

A network of commonplace physical things with electronic parts, such as sensors, processors, and wireless communication modules is referred to as the "Internet of things" (IoT). they can communicate with one another and various other systems and devices via these components and the internet. It's important to note that the IoT lacks internal security. No organization is in charge of handling the enormous amount of data created by IoT devices since distributed ledger technology, which is a component of blockchain, is decentralized. Decentralization improves privacy and security. By making it extremely difficult for unauthorized users to alter current data record. Blockchain technology is used to safely store IoT data. Secure machine-to-machine transactions are made possible by the IoT and blockchain, boosting security and transparency for all parties involved. IoT devices can interact with private blockchain networks to guarantee the accuracy of transaction records by utilizing the features such as immutability and data encryption. this paper examines the business strategy that can aid in preventing the manipulation of sensitive data.

关键词： IOT Blockchain Wallets data encryption security Ledger Communication Integration of blockchain with IOT

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Nothing Personal: Understanding the Spread and Use of Personally Identifiable Information in the Financial Ecosystem 24

Nothing Personal: Understanding the Spread and Use of Person...

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14th acm conference on data and application security and privacy (acm CODASPY)

作者： Zaeifi, Mehrnoosh Kalantari, Faezeh Oest, Adam Sun, Zhibo Ahn, Gail-Joon Shoshitaishvili, Yan Bao, Tiffany Wang, Ruoyu Doupe, Adam Arizona State Univ Tempe AZ 85287 USA Drexel Univ Philadelphia PA USA

ISBN: (纸本)9798400704215

Online services leverage various authentication methods with differing usability and reliability trade-offs, such as password-based or multi-factor authentication (MFA). However, financial service providers face a unique challenge;authenticating the user's legal identity, which involves verifying Personally Identifiable Information (PII), which we call PII-based authentication (PII-BA). these methods assume that PII is private;however, identity theft victimizes millions annually and exposes their PII to criminals. In this paper, we investigate the potential of identity fraud that breaks PII-BA with stolen PII in the financial ecosystem. First, we measure what PII is used in PII-BA across five different financial services for 17 U.S. financial institutions. We subsequently collect data where PII and associated illegal services are available for purchase by monetizers (who perform identity fraud via obtained stolen PII)-operating within the underground economy and paste sites. Finally, we analyze how monetizers can make money from stolen PII by either breaking PII-BA or directly monetizing the PII with the associated cost. Our study reveals that payment processing companies (PPCs) impose lower PII requirements for password/username recovery service PII-BA compared to commercial banks. Consequently, criminals can bypass this PII-BA service across all PPCs by paying $3.5 similar to$50 as opposed to $10.5 similar to$600 for banks. We also outline potential mitigations which could be an essential step in addressing identity fraud resulting from PII-BA in the financial ecosystem.

关键词： Authentication mechanisms security and privacy Underground community Web security

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Uncovering security Vulnerabilities in Real-world Implementation and Deployment of 5G Messaging Services 24

Uncovering Security Vulnerabilities in Real-world Implementa...

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17th acm conference on security and privacy in Wireless and Mobile Networks (WiSec)

作者： Yang, Yaru Zhang, Yiming Wan, Tao Wang, Chuhan Duan, Haixin Chen, Jianjun Li, Yishen Tsinghua Univ Beijing Peoples R China CableLabs Louisville KY USA Carleton Univ Ottawa ON Canada Quancheng Lab Jinan Peoples R China Zhongguancun Lab Beijing Peoples R China

ISBN: (纸本)9798400705823

5G messaging services, based on Global System for Mobile Communications Association (GSMA) Rich Communication Service (RCS) and 3rd Generation Partnership Project (3GPP) IP Multimedia Subsystem (IMS), have been deployed globally by more than 90 mobile operators serving over 421 million monthly active users via 1.2 billion devices. Despite the widespread use, security research of 5G messaging remains sparse. In this paper, we present a comprehensive security analysis and measurement of 5G messaging services, assisted by a semi-automated testing tool we developed. We considered both carrier-side deployment and phone-side software implementations by testing against three large operators, each with hundreds of millions of subscribers, and six popular 5G messaging-enabled devices. We uncovered 4 categories of vulnerabilities, allowing for a wide range of attacks, including Man-In-the-Middle (MITM) attacks, zero-click remote information leakage, phone storage exhaustion and mobile data consumption, and Denial-of-Services (DoS) attacks. Our study underscores the need for further security enhancements in security specifications, implementation, and deployment of 5G messaging services.

关键词： 5G Messaging Rich Communication Service

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privacy Protection and data security Enhancement (PPDSE) Model in Student Management Information Systems 5

Privacy Protection and Data Security Enhancement (PPDSE) Mod...

引用

5th International conference on Electronics and Sustainable Communication Systems, ICESC 2024

作者： Pan, Baoli Shandong Agriculture and Engineering University School of Humanities Shandong Jinan250100 China

ISBN: (纸本)9798350379945

the implementation of a privacy Protection and data security Enhancement (PPDSE) model within Student Management Information Systems (SMIS) is critical for protecting sensitive information in educational institutions. this study presents a novel approach that integrates advanced cryptographic techniques to enhance data security in SMIS. the model uses the Paillier encryption algorithm to ensure homomorphic encryption, which allows secure data operations without exposing the underlying information. the designed SMIS architecture, based on J2EE and. NET technologies, is carefully crafted to optimize performance and security. Experiments were conducted using four real-world datasets from the UCI public machine learning repository, each meticulously annotated to ensure data accuracy. Computational and communication overheads were measured over a range of data sizes. the results show that the computational overhead ranged from 0.08 seconds for 256 data points to 1.013 seconds for 2048 data points. Similarly, the communication overhead increased from 6,231 KB to 50,233 KB for the same data sizes. © 2024 IEEE.

关键词： Differential privacy

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the Design of an Ontology for ATT&CK and its application to Cybersecurity 23

The Design of an Ontology for ATT&CK and its Application to ...

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

作者： Akbar, Khandakar Ashrafi Halim, Sadaf Md Singhal, Anoop Abdeen, Basel Khan, Latifur thuraisingham, Bhavani Univ Texas Dallas Richardson TX 75083 USA Natl Inst Stand & Technol Gaithersburg MD 20899 USA

ISBN: (纸本)9798400700675

the spread of attacks in computer networks and within systems can have severe consequences for both individuals and organizations. One approach to preventing the spread of attacks is to use ontological aid, which is the use of ontologies to provide a structured representation of knowledge about the attack and its components, especially the ones who often disguise themselves to remain undetected for a long time within the system. As soon as one particular stage of such an attack is detected, it is imperative to reduce the amount of spread so that no permanent damage can be done. For this, the security analyst must boil down to technical details from a behavioral perspective so that proper defensive initiatives can be taken. We propose an ontology that will aid security analysts to find out the list of vulnerabilities to be patched so that an ongoing attack campaign can be prevented from spreading even more.

关键词： Ontology MITRE ATT&CK Framework Cyber Response

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Transforming Coupon Service with Blockchain:-Reinventing security 5th

Transforming Coupon Service with Blockchain:-Reinventing Sec...

引用

5th International conference on data Science, Machine Learning and applications

作者： Neeli, Shrenika Kumar, B. Vijay Kommu, Siddartha Yerra, Harini JB Inst Engn & Technol Dept Informat Technol Hyderabad India

ISBN: (纸本)9789819780334;9789819780310;9789819780303

As online shopping and stores become more popular, the need for electronic coupons is also growing. An electronic coupon (e-coupon) tools are used for various marketing tasks like boosting sales, promoting brands, etc. But the e-coupon administrations are helpless against the security issues on account of centralization. Safeguarding against issues like coupon manipulation, replication, and unauthorized use are of utmost importance in the context of e-coupons. To address this problem, we suggest using a blockchain or distributed ledger technology to enhance safety of the electronic coupon system. Our approach involves setting up server to support the electronic coupon service and connect with blockchain. Additionally, develop a smart contract within the blockchain framework to ensure the reliability of the electronic coupon data. Testing proposed system on a Ethereum-supported blockchain architecture and found that it offers improved security with only a slight decrease in performance compared to the existing e-coupon service.

关键词： electronic coupon centralization self executing contract privacy

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A Comprehensive Review of Soft Computing Enabled Techniques for IoT security: State-of-the-Art and Challenges Ahead 5th

A Comprehensive Review of Soft Computing Enabled Techniques ...

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5th International conference on data Science, Machine Learning and applications

作者： Parabrahmachari, Sriram Narayanasamy, Srinivasan Sathyabama Inst Sci & Technol Dept Comp Sci & Engn Chennai 600119 Tamil Nadu India Rajalakshmi Engn Coll Dept Comp Sci & Engn Chennai 600119 Tamil Nadu India

ISBN: (纸本)9789819780334;9789819780310;9789819780303

In the past ten years, the Internet of things (IoT) has become a massive force in our daily lives, providing countless smart services that have improved human existence. Nevertheless, the increased availability and rapidly escalating demand for intelligent devices and networks mean that IoT is currently encountering unprecedented security challenges. While there are established security protocols in place for IoT, these conventional methods fall short in effectively addressing the escalating frequency and severity of attacks. the term 'security' is used to encompass various concepts, including integrity, confidentiality, and privacy. therefore, a strong and up-to-date security system is necessary for the next generation of industrial IoT. One area of technological advancement that can address the ongoing and future challenges of IoT security is Soft Computing. It has opened up many possible research avenues for detecting attacks and identifying abnormal behaviors in smart devices and networks. this paper explores the architecture of IoT and provides a comprehensive literature review of Soft Computing based approaches to IoT security, including the different types of possible attacks. It also presents potential Soft Computing-based solutions for IoT security and discusses open research issues along with future research scope.

关键词： Internet of things (IoT) security and privacy Soft Computing Attacks Computing methodologies

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Technical Concepts on Cloud security and privacy Using Deep Learning Techniques and Hybridized Encryption 5th

Technical Concepts on Cloud Security and Privacy Using Deep ...

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5th International conference on data Science, Machine Learning and applications

作者： Rajchandar, K. Madanan, Mukesh Sastry, R. V. L. S. N. Saxena, Monika SR Univ Sch CS & AI Warangal Telangana India Dhofar Univ Dept Comp Sci Salalah Oman GIET Univ Sch Comp Sci & Engn Gunupur Orisha India Banasthali Vidyapith Dept Comp Sci Banasthali India

ISBN: (纸本)9789819780334;9789819780310;9789819780303

the current research questions that are raising concern security in cloud computing. Cloud storage is replacing traditional data storage in numerous companies because it provides instant knowledge of data from any location. However, the main problem stopping businesses from utilizing cloud computing is data security. Cloud computing has been one of the most talked about subjects in technology lately due to its capacity to manage a large number of resources and data. One of the biggest obstacles is scheduling tasks, and inefficient management leads to performance decline. this paper presents a unique method for productive task scheduling with improved security in a cloud computing environment. It is suggested to design the operations using a unique Convolutional neural network optimized modified butterfly optimization (CNN-MBO) approach in order to improve efficiency and shorten construction time. Second, the data is encrypted using a hybridized RSA method, ensuring safe data transfer. the performance of our suggested technique is then evaluated by simulating it using a cloudlet simulator and analyzing the evaluation findings. the suggested method is also contrasted with alternative task scheduling-based methods for a number of performance criteria, including resource usage, reaction time, and energy consumption.

关键词： Deep learning techniques cloud security hybridized encryption privacy

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