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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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A blockchain solution based on directed acyclic graph for IoT data security using IoTA Tangle 5

A blockchain solution based on directed acyclic graph for Io...

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5th International conference on Communication and Electronics Systems, ICCES 2020

作者： Bhandary, Mohan Parmar, Manish Ambawade, Dayanand Mumbai India

ISBN: (纸本)9781728153711

the growth of the Internet of things (IoT) has recently seen an exponentially rise with the number of IoT devices been connectedincreasing in billions, but with such rapid demand and growth, IoT still faces few issues like data security, privacy, data integrity, authentication. the Distributed Ledger Technology like Blockchain also opens a wide range of opportunities, and it proves to be one solution for overcoming multiple issues. this paper highlights the use of Blockchain technology in the field of Internet of things (IoT) and its practical limitations. the paper focuses on a new distributed ledger technology based on Directed Acyclic Graph(DAG) approach called IOTA, its working and features are discussed in detail. IOTA technology can overcome the practical limitations of classical Blockchain, andthe implementation of IOTA for secure transferring of IoT sensor data is alsodiscussed. © 2020 IEEE.

关键词： Blockchain

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18th Workshop on privacy in the Electronic Society (WPES 2019) 19

18th Workshop on Privacy in the Electronic Society (WPES 201...

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acm SIGSAC conference on Computer and Communications security (CCS)

作者： Domingo-Ferrer, Josep Univ Rovira & Virgili Tarragona Spain

ISBN: (纸本)9781450367479

the 18th Workshop on privacy in the Electronic Society (WPES 2019) was held on November 11th, 2019, in conjunction with the 26th acm conference on Computer and Communications security (CCS 2019) in London, United Kingdom. the goal of WPES is to bring together privacy researchers and practitioners to discuss the privacy problems that arise in an interconnected society and solutions to those problems. the program for the workshop contains 14 full papers and 5 short papers selected from a total of 67 submissions. Specific topics covered in the program include secure computation, secure communication, mobile-device privacy, genomic data privacy, social aspects of privacy, data anonymization, and privacy-enhancing techniques for the Internet of things, blockchain and Web.

关键词： privacy

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Achieve thumbnail Preserving Encryption by Sum Preserving Approaches for Images 20

Achieve Thumbnail Preserving Encryption by Sum Preserving Ap...

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6th International conference on Frontiers of Educational Technologies, ICFET 2020 and its Workshop 2020 5th International conference on Knowledge Engineering and applications, ICKEA 2020

作者： Yang, Cheng-Hsing Weng, Chi-Yao Yang, Yu-Zhen Lee, Jung-San Huang, Cheng-Ta Department of Computer Science National Pingtung University Pingtung Taiwan Department of Information Engineering and Computer Science Feng Chia University Taiwan Department of Information Management Oriental Institute of Technology Taiwan

ISBN: (纸本)9781450375337

A large number of images are generated and uploaded to the cloud, due to the rapid development of IT and networking technologies. To prevent unauthorized access, image encryption is a way that can ensure the safety of images. However, the encrypted image is noisy, which is not suitable for further management and application. Some scholars have recently proposed the concept of thumbnail Preserving Encryption (TPE). the encrypted image not only achieves privacy protection, but also preserves the properties of thumbnails. therefore, when an image is encrypted by TPE, it is possible for the thumbnail image to retain similar appearance after encryption, allowing a quick overview of the encrypted image. In this paper, we propose a new TPE method to resolve the problems that may arise in methods used by cryptography scholars such as Tajik. Experimental results show that our TPE method retained the same thumbnail appearance before and after encryption. © 2020 acm.

关键词： privacy-preserving techniques

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Hybrid MQTT-COAP Protocol for data Communication in Internet of things

Hybrid MQTT-COAP Protocol for Data Communication in Internet...

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5th International conference on Computing, Communication and security (ICCCS)

作者： Nwankwo, Emmanuel, I Onwuka, Elizabeth N. David, Michael Suleiman, Zubair Fed Univ Technol Sch Elect Engn & Technol Dept Telecommun Engn Minna Niger State Nigeria

ISBN: (纸本)9781728191805

Wireless Sensor Networks (WSNs) consist mainly of resource constrained sensor nodes and gateways. therefore, various lightweight communication protocols are emerging for Machine to Machine (M2M) communications. Among the various application layer protocols for data communication in WSNs, the two most popular protocols for constrained devices are the Message Queue Telemetry Transport Protocol (MQTT) with a variant for sensor nodes (MQTT-SN) and the Constrained application Protocol (CoAP). Studies have shown that the performance of these different protocols are dependent on different network conditions. CoAP is more efficient in terms of message overhead and MQTT-SN is more efficient in terms of client complexity. Studies have further emphasized the levels of difficulties to implementing any of these protocols with regard to application requirements. In this paper we propose a hybrid MQTT-CoAP protocol technique using an abstraction layer that enables both MQTT-SN and CoAP protocol to be used in the sensor node. Performance evaluation of these protocols under the hybrid technique shows that the hybrid is feasible and while CoAP performs better in terms of energy consumption, the two protocols perform almost equally in latency. the observed values of latency and energy consumption in the developed hybrid technique was comparable to other studies.

关键词： CoAP Hybrid protocol Machine to Machine Communication MQTT-SN Wireless Sensor Network

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proceedings of the 5th International conference on Communication and Electronics Systems, ICCES 2020

Proceedings of the 5th International Conference on Communica...

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5th International conference on Communication and Electronics Systems, ICCES 2020

ISBN: (纸本)9781728153711

the proceedings contain 251 papers. the topics discussed include: honey encryption based hybrid cryptographic algorithm: a fusion ensuring enhanced security;face recognition system using machine learning algorithm;predicting clinical re-admission using discharge summaries (PCRUDS);dementia detection using machine learning by stacking models;fuzzy logic based charging of electric vehicles for load management of microgrid;virtual mouse using object tracking;deep learning based surgical workflow recognition from laparoscopic videos;classification algorithms based mental health prediction using data mining;analysis and application of zigzag transformer in distribution system for mitigation of triplen harmonics;prioritization of parts of a medical equipment using analytical hierarchy process;and voice controlled personal assistant robot for elderly people.

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CODASPY 2016 - proceedings of the 6th acm conference on data and application security and privacy

CODASPY 2016 - Proceedings of the 6th ACM Conference on Data...

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6th acm conference on data and application security and privacy, CODASPY 2016

ISBN: (纸本)9781450339353

the proceedings contain 38 papers. the topics discussed include: building privacy-preserving cryptographic credentials from federated online identities;Neuralyzer: flexible expiration times for the revocation of online data;HCFi: hardware-enforced control-flow integrity;derandomizing kernel address space layout for memory introspection and forensics;patching logic vulnerabilities for web applications using LogicPatcher;to fear or not to fear that is the question: code characteristics of a vulnerable function with an existing exploit;on the effectiveness of sensor-enhanced keystroke dynamics against statistical attacks;on the feasibility of cryptography for a wireless insulin pump system;SPICE: a software tool for bridging the gap between end-user's insecure cyber behavior and personality traits;automatic summarization of privacy policies using ensemble learning;and evaluating analysis tools for android apps: status quo and robustness against obfuscation.

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Investigation of Mobile Machine Learning Models to Preserve the Effectiveness of User privacy 5

Investigation of Mobile Machine Learning Models to Preserve ...

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5th IEEE International conference on Innovative Technologies in Intelligent Systems and Industrial applications, CITISIA 2020

作者： Motahari, Danial Arif, Samrah Mohboubi, Arash Rehman, Sabih Ur Charles Sturt University School of Computing and Mathematics Australia

ISBN: (纸本)9781728194370

Machine Learning (ML) has become one of the dominant technologies in the research world. It is being applied without exception in every field where automation and future predictions are required such as cyber security, computer vision, data science, search engines and various other disciplines. the application of ML in search engines creates a high risk of breaching user's privacy because this involves using data gathered from user's browsing history, purchase transactions, searching videos and queries. the user's information gathered from the search engine queries stored in computers, mobiles, other handheld devices is privately uploaded to a centralised cloud location and is then utilised in designing various ML models. As most ML models use a trained model that requires large datasets, user data gathered this way plays an important role in the development of the ML models. this however creates a significant privacy issue for individuals who may not want to reveal their personal information for ML training yet, prevention of this is beyond their access and control. In this article, we focus on the use of ML in mobile devices and address privacy concerns that can be raised by practising ML in mobile devices. the primary area of study in this research is the comparison of ML on mobile devices with ML on the cloud and figuring out its feasibility of becoming an essential ML for preserving user's privacy. Sequentially, this study first explores the need for using the ML algorithm to address privacy issues. Next, a pre-chosen ML algorithm will be tested on mobile devices and cloud to get the comparison outcome that justifies the adoption of privacy-preserving ML model on mobile devices to preserve the user's privacy. © 2020 IEEE.

关键词： Search engines

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Decepti-SCADA: A Framework for Actively Defending Networked Critical Infrastructures 5

Decepti-SCADA: A Framework for Actively Defending Networked ...

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5th International conference on Internet of things, Big data and security (IoTBDS)

作者： Cifranic, Nicholas Romero-Mariona, Jose Souza, Brian Hallman, Roger A. Naval Informat Warfare Ctr Pacific San Diego CA 92152 USA Dartmouth Coll Thayer Sch Engn Hanover NH 03755 USA

ISBN: (纸本)9789897584268

Supervisory Control and data Acquisition (SCADA) networks, which enable virtual components of critical infrastructures to connect to physical components, like the electrical grid, for example, are susceptible to cyber threats. this introductory paper discusses the application of deception as a technique for improving the cybersecurity posture of a network by using decoys to obfuscate the network and in turn make it harder for a potential adversary to find the real components. the Decepti-SCADA framework is introduced, which demonstrates multiple improvements over previous implementations of cyber deception strategies for SCADA systems. Decepti-SCADA has developed SCADA-specific decoys that can be used in a critical infrastructure environment. We detail Decepti-SCADA's architecture, decoy generation and distribution, and ultimately explore what else can be done with cyber deception for critical infrastructures through early results.

关键词： Cybersecurity Deception Honeypots Cyber-physical Systems Supervisory Control and data Acquisition (SCADA) Industrial Control Systems (ICS) Critical Infrastructure

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security analysis of a swarm of drones resisting attacks by intruders 5

Security analysis of a swarm of drones resisting attacks by ...

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5th International Scientific and Practical conference "Distance Learning Technologies", DLT 2020

作者： Dovgal, Vitaly A. Dovgal, Dmitry V. Maykop State Technological University Maykop Russia Don State Technical University Rostov-on-Don Russia

Currently, to perform a certain task (for example, a search operation), unmanned aerial vehicles have been combined into an organized group, which can be called a swarm. Naturally, such an information system is of interest to hackers who are trying to use drones for malicious purposes. the number of at-tacks increases with the increase in the active introduction of a flock of drones in their practical application. the probability and frequency of these attacks are high, and their impact can be very dangerous and the consequences devastating. therefore, protective and preventive countermeasures are urgently needed to en-sure conditions that reduce the impact of intruders on the drone system to a min-imum and detect eavesdropping devices and unauthorized connections. the pur-pose of this study is to analyze and review the threats used in cyber-attacks on a swarm of unmanned aerial vehicles, as well as measures to counter these attacks. the article discusses the architecture of drones and the types of connections for their interaction in a flock analyzes existing threats and vulnerabilities of drones. Special attention is paid to such types of illegal entry into the system of interact-ing drones as hacking and intrusion. the most accessible methods of hacking and intrusion by intruders are considered, as well as methods and mechanisms for protecting data processed in systems, including intrusion detection systems, neu-ral networks, and fuzzy rule-based systems. © 2021 CEUR-WS. All rights reserved.

关键词： Drones

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the application of blockchain technology in the early warning and monitoring of infectious diseases 5

The application of blockchain technology in the early warnin...

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5th International conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)

作者： Tian Yu Yu Wan-jun Zhang Miao Zhang Min Tang Jun-yi Shanghai Inst Technol SIT Shanghai Peoples R China

ISBN: (纸本)9781728180229

In order to improve the efficiency of emergency management and decision-making and command of infectious diseases, infectious disease early warning technologies and systems can be used to monitor the trend of abnormal outbreaks and provide timely and accurate warnings. However, the current infectious disease early warning system still has problems such as insufficient intelligence, poor circulation of key information, and difficulty in distributed collaborative decision-making. Based on the blockchain distributed computing architecture, combined with emerging information technologies such as artificial intelligence, big data, and smart contracts, an infectious disease monitoring and early warning technology and its implementation framework are proposed. the technology can efficiently concentrate multi-party monitoring forces, flexibly integrate multiple early warning methods, build a knowledge integration and smart interconnected distributed collaborative monitoring environment under the premise of security and privacy protection, and use smart contracts as open, fair, software-defined monitoring the agent integrates decision-making, monitoring infectious diseases and automatic early warning in real time, so as to take into account the requirements of early warning accuracy and timeliness, and avoid isolated evidence and decision bias.

关键词： Blockchain smart contract artificial intelligence infectious disease monitoring distributed collaboration

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