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

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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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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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Decentralized Reputation 21

Decentralized Reputation

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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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A Large Publicly Available Corpus of Website privacy Policies Based on DMOZ 21

A Large Publicly Available Corpus of Website Privacy Policie...

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

作者： Zaeem, Razieh Nokhbeh Barber, K. Suzanne Univ Texas Austin Ctr Ident Austin TX 78712 USA

ISBN: (纸本)9781450381437

Studies have shown website privacy policies are too long and hard to comprehend for their target audience. These studies and a more recent body of research that utilizes machine learning and natural language processing to automatically summarize privacy policies greatly benefit, if not rely on, corpora of privacy policies collected from the web. While there have been smaller annotated corpora of web privacy policies made public, we are not aware of any large publicly available corpus. We use DMOZ, a massive open-content directory of the web, and its manually categorized 1.5 million websites, to collect hundreds of thousands of privacy policies associated with their categories, enabling research on privacy policies across different categories/market sectors. We review the statistics of this corpus and make it available for research. We also obtain valuable insights about privacy policies, e.g., which websites post them less often. Our corpus of web privacy policies is a valuable tool at the researchers' disposal to investigate privacy policies. For example, it facilitates comparison among different methods of privacy policy summarization by providing a benchmark, and can be used in unsupervised machine learning to summarize privacy policies.

关键词： datasets privacy policies DMOZ corpus

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proceedings of 8th International conference on Cyber security and Information Engineering, ICCSIE 2023

Proceedings of 8th International Conference on Cyber Securit...

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8th International conference on Cyber security and Information Engineering, ICCSIE 2023

ISBN: (纸本)9798400708800

The proceedings contain 55 papers. The topics discussed include: chaotic digital image encryption based on Fourier transform;structure and key technologies of nuclear power plant network security situational awareness platform;a research of improved facial expression recognition method based on CBAM and joint-normalization techniques;research on substation quantum secure communication system based on 5g private network technology;research on network intrusion detection techniques based on feature selection model and recurrent neural network;a time-bound data access control scheme based on attribute-based encryption;robust watermarking based on dual-random phase encryption against collusion attacks;research progress of location privacy protection technology in the Internet era;the application and practice of computer network security technology in electronic information engineering;and tag anti-collision algorithm for RFID in underdetermined states based on local sparse constraints.

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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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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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SmartFusion2 SoC as a security Module for the IoT world 22

SmartFusion2 SoC as a Security Module for the IoT world

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19th acm International conference on Computing Frontiers (CF)

作者： Rodrigues, Alexandre Resende, Joao Carlos Chaves, Ricardo Univ Lisbon INESC ID IST Lisbon Portugal

ISBN: (纸本)9781450393386

Dedicated computational devices such as HSMs and FPGAs are frequently used to provide data security and privacy. However, these options have several drawbacks, particularly when considering IoT environments. HSMs offer high-grade services but are costly and lack application flexibility, while FPGAs, in general, are cheaper and adaptable, but lack security services and protection. Herein, the SmartFusion2 SoC FPGA, a security-oriented system, is evaluated as a possible low-cost and flexible platform for security modules for the IoT. This work analyzes the several security services of the SmartFusion2 SoC, their advantages, and possible trade-offs. To demonstrate the SoC viability as a security module and/or a more adaptable HSM alternative, several case study applications are considered and analyzed to elaborate on the potential, limitations, and mitigations of the latter.

关键词： SmartFusion2 SoC security module Low cost Flexible

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Right to Know, Right to Refuse: Towards UI Perception-Based Automated Fine-Grained Permission Controls for Android Apps 7

Right to Know, Right to Refuse: Towards UI Perception-Based ...

引用

37th IEEE/acm International conference on Automated Software Engineering (ASE)

作者： Malviya, Vikas K. Leow, Chee Wei Kasthuri, Ashok Tun, Yan Naing Shar, Lwin Khin Jiang, Lingxiao Singapore Management Univ Sch Comp & Informat Syst Singapore Singapore

ISBN: (纸本)9781450394758

It is the basic right of a user to know how the permissions are used within the Android app's scope and to refuse the app if granted permissions are used for the activities other than specified use which can amount to malicious behavior. This paper proposes an approach and a vision to automatically model the permissions necessary for Android apps from users' perspective and enable fine-grained permission controls by users, thus facilitating users in making more well-informed and flexible permission decisions for different app functionalities, which in turn improve the security and data privacy of the App and enforce apps to reduce permission misuses. Our proposed approach works in mainly two stages. First, it looks for discrepancies between the permission uses perceivable by users and the permissions actually used by apps via program analysis techniques. Second, it runs prediction algorithms using machine learning techniques to catch the discrepancies in permission usage and thereby alert the user for action about data violation. We have evaluated preliminary implementations of our approach and achieved promising fine-grained permission control accuracy. In addition to the benefits of users' privacy protection, we envision that wider adoption of the approach may also enforce better privacy-aware design by responsible bodies such as app developers, governments, and enterprises.

关键词： automated permission control UI perception Android application analysis Android permissions machine learning

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ARES 2023 - 18th International conference on Availability, Reliability and security, proceedings

ARES 2023 - 18th International Conference on Availability, R...

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18th International conference on Availability, Reliability and security, ARES 2023

ISBN: (纸本)9798400707728

The proceedings contain 155 papers. The topics discussed include: an android application patching pipeline based on generic changesets;Nakula: coercion resistant data storage against time-limited adversary;automated side-channel attacks using black-box neural architecture search;canary in twitter mine: collecting phishing reports from experts and non-experts;actions speak louder than passwords: dynamic identity for machine-to-machine communication;mitigating intersection attacks in anonymous microblogging;a hybrid anonymization pipeline to improve the privacy-utility balance in sensitive datasets for ML purposes;adoption of information security practices in large-scale agile software development: a case study in the finance industry;universal remote attestation for cloud and edge platforms;rogue key and impersonation attacks on FIDO2: from theory to practice;real-time defensive strategy selection via deep reinforcement learning;and characterizing the MasterPrint threat on android devices with capacitive sensors.

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