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

共 560 条记录，以下是131-140 订阅

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Towards Efficient Labeling of Network Incident datasets Using Tcpreplay and Snort 21

Towards Efficient Labeling of Network Incident Datasets Usin...

引用

11th acm conference on data and application security and privacy (CODASPY)

作者： Masumi, Kohei Han, Chansu Ban, Tao Takahashi, Takeshi Natl Inst Informat & Commun Technol Tokyo Japan

ISBN: (纸本)9781450381437

Research on network intrusion detection (NID) requires a large amount of traffic data with reliable labels indicating which packets are associated with particular network attacks. In this paper, we implement a prototype of an automated system to create labeled packet datasets for NID research. By re-transmitting pre-captured packet data in a controlled network environment pre-installed with a network intrusion detection system, the system automatically assigns labels to attack packets within the packet data. In the feasibility study, we investigate factors that may influence the detection accuracy of the attacking packets and show an example using the prototype to label a packet file. Finally, we show an efficient way to locate the packets associated with issued NID alerts using this prototype.

关键词： Network intrusion detection data labeling Tcpreplay Snort

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Decentralized Reputation 21

Decentralized Reputation

引用

11th acm conference on data and application security and privacy (CODASPY)

作者： Dimitriou, Tassos Kuwait Univ Comp Engn Dept Kuwait Kuwait

ISBN: (纸本)9781450381437

In this work we develop a privacy-preserving reputation scheme for collaborative systems such as P2P networks in which peers can represent themselves with different pseudonyms when interacting with others. All these pseudonyms, however, are bound to the same reputation token, allowing honest peers to maintain their good record even when switching to a new pseudonym while preventing malicious ones from making a fresh start. Our system is truly decentralized. Using an append-only distributed ledger such as Bitcoin's blockchain, we show how participants can make anonymous yet verifiable assertions about their own reputation. In particular, reputation can be demonstrated and updated effectively using efficient zkSNARK proofs. The system maintains soundness, peer-pseudonym unlinkability as well as unlinkability among pseudonyms of the same peer. We formally prove these properties and we evaluate the efficiency of the various operations, demonstrating the viability of our approach.

关键词： Reputation Decentralization privacy Peer-to-peer networks Sybilresistance Blockchain zkSNARKs

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Harmonizing Differential privacy Mechanisms for Federated Learning: Boosting Accuracy and Convergence 25

Harmonizing Differential Privacy Mechanisms for Federated Le...

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proceedings of the Fifteenth acm conference on data and application security and privacy

作者： Shuya Feng Meisam Mohammady Hanbin Hong Shenao Yan Ashish Kundu Binghui Wang Yuan Hong University of Connecticut Storrs CT USA Iowa State University Ames IA USA Cisco Ressearch San Jose CA USA Illinois Institute of Technology Chicago IL USA

ISBN: (纸本)9798400714764

Differentially private federated learning (DP-FL) offers a compelling approach to collaborative model training by ensuring robust privacy for clients. Despite its potential, current methods face challenges in effectively balancing privacy, utility, and performance across diverse federated learning scenarios. Addressing these challenges, we introduce UDP-FL, to our knowledge the first DP-FL framework that universally harmonizes any randomization mechanism, including those considered optimal, by employing the Gaussian Moments Accountant (viz. DP-SGD). Central to UDP-FL is the 'Harmonizer,' a dynamic module engineered to intelligently select and apply the most suitable DP mechanism tailored to each client's specific privacy requirements, data sensitivities, and computational capacities. This selection process is driven by the principle of Rényi Differential privacy, which serves as a crucial mediator for aligning privacy budgets effectively. Our comprehensive evaluation of UDP-FL, benchmarked against established baseline methods, demonstrates superior performance in upholding privacy guarantees and enhancing model functionality. The framework's robustness has been rigorously tested against a broad spectrum of privacy attacks, making it one of the most thorough validations of a DP-FL framework to date.

关键词： differential privacy

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Quantum Obfuscation: Quantum Predicates with Entangled qubits 21

Quantum Obfuscation: Quantum Predicates with Entangled qubit...

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11th acm conference on data and application security and privacy (CODASPY)

作者： Balachandran, Vivek Singapore Inst Technol Singapore Singapore

ISBN: (纸本)9781450381437

In this paper we discuss developing opaque predicates with the help of quantum entangled qubits. These opaque predicates obfuscate classical control flow in hybrid quantum-classical systems. The idea is to use a pair of entangled qubits, one at compile-time and one in the compiled code at runtime to create opaque predicates. We make use of the CHSH game (John Clauser, Michael Horne, Abner Shimony, and Richard Holt) to get consensus about the value of a qubit at runtime, whose value can be predicted at compile time with high probability due to quantum properties. The paper discusses designing opaque predicate that relies on the quantum behavior of the entangled qubits and quantum measurements. The obfuscation produced by this technique maintain only a semantic accuracy of 85.35% when one entangled pair of qubits are used. However, we show that the accuracy can be improved to 100% by introducing additional entangled qubit pairs.

关键词： Quantum Obfuscation Quantum Computing Quantum security

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Why You've Got Mail: Evaluating Inbox privacy Implications of Email Marketing Practices in Online Apps and Services 25

Why You've Got Mail: Evaluating Inbox Privacy Implications o...

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proceedings of the Fifteenth acm conference on data and application security and privacy

作者： Scott Seidenberger Oluwasijibomi Ajisegiri Noah Pursell Fazil Raja Anindya Maiti University of Oklahoma Norman OK USA

ISBN: (纸本)9798400714764

This study explores the widespread perception that personal data, such as email addresses, may be shared or sold without informed user consent, investigating whether these concerns are reflected in actual practices of popular online services and apps. Over the course of a year, we collected and analyzed the source, volume, frequency, and content of emails received by users after signing up for the 150 most popular online services and apps across various sectors. By examining patterns in email communications, we aim to identify consistent strategies used across industries, including potential signs of third-party data sharing. This analysis provides a critical evaluation of how email marketing tactics may intersect with data-sharing practices, with important implications for consumer privacy and regulatory oversight. Our study findings, conducted post-CCPA and GDPR, indicate that while no unknown third-party spam email was detected, internal and authorized third-party email marketing practices were pervasive, with companies frequently sending promotional and CRM emails despite opt-out preferences. The framework established in this work is designed to be scalable, allowing for continuous monitoring, and can be extended to include a more diverse set of apps and services for broader analysis, ultimately contributing to transparency in email address privacy practices.

关键词： email marketing

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The Cost of OSCORE and EDHOC for Constrained Devices 21

The Cost of OSCORE and EDHOC for Constrained Devices

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11th acm conference on data and application security and privacy (CODASPY)

作者： Hristozov, Stefan Huber, Manuel Xu, Lei Fietz, Jaro Liess, Marco Sigl, Georg Fraunhofer AISEC Garching Germany Microsoft Vancouver BC Canada Tech Univ Munich Munich Germany

ISBN: (纸本)9781450381437

Many modern IoT applications rely on the Constrained application Protocol (CoAP). Recently, the Internet Engineering Task Force (IETF) proposed two novel protocols for securing it. These are: 1) Object security for Constrained RESTful Environments (OSCORE) providing authenticated encryption for the CoAP's payload data and 2) Ephemeral Diffie-Hellman Over COSE (EDHOC) providing the symmetric session keys required for OSCORE. In this paper, we present the design of four firmware libraries for these protocols which are especially targeted for constrained microcontrollers and their detailed evaluation. More precisely, we present the design of mu OSCORE and mu EDHOC libraries for regular microcontrollers and mu OSCORE-TEE and mu EDHOC-TEE libraries for microcontrollers with a Trusted Execution Environment (TEE), such as microcontrollers featuring ARM TrustZone-M. Our firmware design for the latter class of devices concerns the fact that attackers may exploit common software vulnerabilities, e.g., buffer overflows in the protocol logic, OS or application to compromise the protocol security. We present an evaluation of our implementations in terms of RAM/FLASH requirements and execution speed on a broad range of microcontrollers. Our implementations are available as open-source software.

关键词： IoT CoAP security IETF OSCORE EDHOC

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Reflections on a Decade of Mobile security Research 22

Reflections on a Decade of Mobile Security Research

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15th acm conference on security and privacy in Wireless and Mobile Networks (acm WiSec)

作者： Enck, William North Carolina State Univ Raleigh NC 27695 USA

ISBN: (纸本)9781450392167

The emergence of the smartphone in the late 2000s occurred during a perfect storm of technology and society. Advances in embedded technologies provided a critical balance of computing power and energy consumption. The integration of accelerometers and GPS sensors provided valuable primitives for innovative applications, and 3G cellular technologies provided enough data capacity for meaningful interactions with servers. Simultaneously, social networking was taking off, giving consumers a reason to increasingly engage with computing. The mobile industry capitalized on this opportunity, opening the traditionally tightly controlled environment to third-parties and providing a streamlined way for application developers and consumers to discover and commodify computing. Today, Web traffic from smartphones exceeds that of traditional desktops and laptops. The initial reaction of the security research community was cautious, not seeing what made this form of computing different. In many ways, smartphones are the same as traditional consumer platforms. Consumers download and run third-party software that connects to servers on the Internet. However, there are key ways in which smartphones are different. Some of these differences are technical. For example, smartphones never turn off and are continually collecting information. They also present a new runtime abstraction where each application is a security principal. Other differences are rooted in how we use them. Our smartphones are always with us, and as a result they have become the transport vehicle for micro-doses of dopamine that feeds our Internet addicted society. They are the first thing we look at in the morning, the last in the evening, and means of avoiding boredom throughout the day. Despite initial reservations, the past decade has seen a boom in security research studying smartphones and mobile technologies. While this research started at the application layer, it has gradually worked its way down the stack, c

关键词： Smartphone security mobile app security mobile device security

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AI for security and security for AI 21

AI for Security and Security for AI

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11th acm conference on data and application security and privacy (CODASPY)

作者： Bertino, Elisa Kantarcioglu, Murat Akcora, Cuneyt Gurcan Samtani, Sagar Mittal, Sudip Gupta, Maanak Purdue Univ W Lafayette IN 47907 USA Univ Texas Dallas Richardson TX 75083 USA Univ Manitoba Winnipeg MB Canada Indiana Univ Bloomington IN 47405 USA Univ North Carolina Wilmington Wilmington NC USA Tennessee Technol Univ Cookeville TN 38505 USA

ISBN: (纸本)9781450381437

On one side, the security industry has successfully adopted some AI-based techniques. Use varies from mitigating denial of service attacks, forensics, intrusion detection systems, homeland security, critical infrastructures protection, sensitive information leakage, access control, and malware detection. On the other side, we see the rise of Adversarial AI. Here the core idea is to subvert AI systems for fun and profit. The methods utilized for the production of AI systems are systematically vulnerable to a new class of vulnerabilities. Adversaries are exploiting these vulnerabilities to alter AI system behavior to serve a malicious end goal. This panel discusses some of these aspects.

关键词： computer security artificial intelligence

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Spend Your Budget Wisely: Towards an Intelligent Distribution of the privacy Budget in Differentially Private Text Rewriting 25

Spend Your Budget Wisely: Towards an Intelligent Distributio...

引用

proceedings of the Fifteenth acm conference on data and application security and privacy

作者： Stephen Meisenbacher Chaeeun Joy Lee Florian Matthes School of Computation Information and Technology Technical University of Munich Garching Germany

ISBN: (纸本)9798400714764

The task of Differentially Private Text Rewriting is a class of text privatization techniques in which (sensitive) input textual documents are rewritten under Differential privacy (DP) guarantees. The motivation behind such methods is to hide both explicit and implicit identifiers that could be contained in text, while still retaining the semantic meaning of the original text, thus preserving utility. Recent years have seen an uptick in research output in this field, offering a diverse array of word-, sentence-, and document-level DP rewriting methods. Common to these methods is the selection of a privacy budget (i.e., the ε parameter), which governs the degree to which a text is privatized. One major limitation of previous works, stemming directly from the unique structure of language itself, is the lack of consideration of where the privacy budget should be allocated, as not all aspects of language, and therefore text, are equally sensitive or personal. In this work, we are the first to address this shortcoming, asking the question of how a given privacy budget can be intelligently and sensibly distributed amongst a target document. We construct and evaluate a toolkit of linguistics- and NLP-based methods used to allocate a privacy budget to constituent tokens in a text document. In a series of privacy and utility experiments, we empirically demonstrate that given the same privacy budget, intelligent distribution leads to higher privacy levels and more positive trade-offs than a naive distribution of epsilon. Our work highlights the intricacies of text privatization with DP, and furthermore, it calls for further work on finding more efficient ways to maximize the privatization benefits offered by DP in text rewriting.

关键词： data privacy

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Controlling security Rules Using Natural Dialogue: an application to Smart Home Care 21

Controlling Security Rules Using Natural Dialogue: an Applic...

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acm International Joint conference on Pervasive and Ubiquitous Computing (UbiComp) / acm International Symposium on Wearable Computers (ISWC)

作者： Goffinet, Stanley Schmitz, Donatien Zavalyshyn, Igor Legay, Axel Riviere, Etienne UCLouvain ICTEAM Ottignies Belgium

ISBN: (纸本)9781450384612

Smart home systems have revolutionized the way we interact with our living environment, but the concerns over sensor data privacy and security have become one of the major barriers to their widespread adoption. Despite a considerable research effort in designing secure access control mechanisms, the end users are still reluctant to use those either due to the complexity of the interfaces or because they do not have sufficient skills. For the elderly users the problem gets worse. Making the right security choices is increasingly more difficult for this group of users. To assist the elderly users in defining their access control policies, we design a dialogue-based system which allows to create new security rules or update existing ones in a simple and intelligible way using natural language and familiar terms.

关键词： privacy smart home elderly access control voice assistant

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