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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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Blockchain for Internet of things: Architecture, Consensus Advancements, Challenges and application Areas 5

Blockchain for Internet of Things: Architecture, Consensus A...

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5th International conference on Computing, Communication Control and Automation (ICCUBEA)

作者： Biswal, Aakash Bhushan, Bharat GGSIP Univ Dept Comp Sci & Engn HMRITM New Delhi India

ISBN: (纸本)9781728140421

the main purpose behind Internet of things (IoT) is to extract extensive economic as well as other benefits and to alter day to day life of human being. but along with so many benefits IoT has a major disadvantage that it is considered to be an unreliable platform. However, in recent times block has received a enormous attention. One of the key features of blockchain is that it is a distributed and tamper-resistant ledger which holds a congruous record of data at distinct levels as a result of which it helps in overcoming the security issues in IoT networks. applications based on blockchain are emerging, covering a number of platforms. However, blockchain is still facing a number of obstructions in its way which need to be solved. In this paper a review based on blockchain technology has been presented focusing on the characteristics, architecture and application areas of blockchain technology. the paper also highlights the advancements in various consensus algorithms and the challenges faced in implementing blockchain in the IoT domain. Finally the paper addresses several open research directions in the related field.

关键词： blockchain internet of things consensus security privacy

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MimosaFTL: Adding Secure and Practical Ransomware Defense Strategy to Flash Translation Layer 19

MimosaFTL: Adding Secure and Practical Ransomware Defense St...

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9th acm conference on data and application security and privacy (CODASPY)

作者： Wang, Peiying Jia, Shijie Chen, Bo Xia, Luning Liu, Peng Chinese Acad Sci Sch Cyber Secur Beijing Peoples R China Chinese Acad Sci Inst Informat Engn Beijing Peoples R China Michigan Technol Univ Dept Comp Sci Houghton MI 49931 USA Penn State Univ University Pk PA 16802 USA Chinese Acad Sci Data Assurance & Commun Secur Res Ctr Beijing Peoples R China

ISBN: (纸本)9781450360999

Ransomware attacks have become prevalent nowadays due to sudden flourish of cryptocurrencies. Most existing defense strategies for ransomware, however, are vulnerable to privileged ransomware who can compromise the operating system and hence any backup data stored locally. the out-of-place-update and the isolation nature of flash memory storage, for the first time, makes it possible to design a defense strategy which is secure against the privileged ransomware. In this work, we propose MimosaFTL, a secure and practical ransomware defense strategy for mobile computing devices equipped with flash memory as external storage. MimosaFTL is secure against the privileged malware by taking advantage of unique characteristics of flash storage. In addition, it is more practical (compared to prior work) for real-world deployments by: 1) incorporating a fine-grained detection scheme which can detect presence of ransomware accurately;and 2) allowing the victim to efficiently restore the infected external storage to the exact point when the malware starts to perform corruption. Experimental evaluation shows that, MimosaFTL can mitigate ransomware attacks effectively with a small negative impact on both I/O performance and lifetime of flash storage.

关键词： Ransomware Mobile devices Flash translation layer Access patterns Ransomware detection Binary search

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A general framework for privacy-preserving computation on cloud environments 19

A general framework for privacy-preserving computation on cl...

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12th IEEE/acm International conference on Utility and Cloud Computing, UCC 2019

作者： Basilakis, Jim Javadi, Bahman School of Computing Eng. and Math. Western Sydney University Sydney Australia

ISBN: (纸本)9781450368940

While privacy and security concerns dominate public cloud services, Homomorphic Encryption (HE) is seen as an emerging solution that can potentially assure secure processing of sensitive data by third-party cloud vendors. It relies on the fact that computations can occur on encrypted data without the need for decryption, although there are major stumbling blocks to overcome before the technology is considered mature for production cloud environments. this paper examines a proposed technology platform, known as the Homomorphic Encryption Bus (HEB), that leverages HE with data obfuscation methods over a minimal network interaction model, allowing a uniform, flexible and general approach to cloud-based privacy-preserving system integration. the platform is uniquely designed to overcome barriers limiting the mainstream application of existing Fully Homomorphic Encryption (FHE) schemes in the cloud. A client-server interaction model involving ciphertext decryption on the client end is necessary to achieve resetting of 'noisy' ciphertexts in place of a much more inefficient (server only) recryption procedure. data perturbation techniques are used to obfuscate intermediate data decrypted on the client-side of ciphertext interactions, in a way that is unintelligible to the client. In addition to efficient noise resetting, interactions involving data perturbations also achieve plaintext (binary to integer-based and vice versa) message space swapping, and conversion of accumulated integerbased encodings to a reduced embedded binary form. there appears to be little existing literature that examines these techniques as a means of broadening HE processing capabilities and practical application over the cloud. Interaction performance is examined in terms of timing and multiplicative circuit depth costs, through a simple equation evaluation and against standard recryption. © 2019 Association for Computing Machinery.

关键词： data obfuscation

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Detection and Prevention of Profile Cloning in Online Social Networks 5

Detection and Prevention of Profile Cloning in Online Social...

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5th IEEE International conference on Signal Processing, Computing and Control (ISPCC)

作者： Kumar, Naresh Dabas, Poonam Komal Kurukshetra Univ Univ Inst Engn & Technol UIET Dept Comp Sci & Engn Kurukshetra 136119 Haryana India Kurukshetra Univ Univ Inst Engn & Technol Comp Sci Dept Kurukshetra Haryana India

ISBN: (纸本)9781728139883

In today's world, online social networking sites are becoming quite popular. they influence the way people communicate with each other. Social Sites like Facebook, Twitter, LinkedIn, and Google have tens or hundreds of millions of users across the globe that generates billions of personal data content. With such a huge amount of data available there is always a fear of this data being stolen or misused by some kind of adversaries or attackers. Hence such huge amount of data generates security and privacy threats to the users worldwide. these can be Identity theft Attack (profile cloning) or may be some kind of Malware Attacks or Structural Attacks. Profile cloning is a kind of stealing identity of existing user to duplicate or to create a duplicate profile of a user using these credentials. In this paper an attempt has been made to propose a methodology for detection of profile cloning in various social networks. Also, we tried to suggest some measures that can be followed by the users and OSN providers to protect the users from these kinds of attacks.

关键词： Online Social Network Profile Cloning security privacy Social Networks Profile Cloning Fake Profile

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acm International conference Proceeding Series

ACM International Conference Proceeding Series

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5th International conference on e-Society, e-Learning and e-Technologies, ICSLT 2019

ISBN: (纸本)9781450362351

the proceedings contain 22 papers. the topics discussed include: feasible requirements model based on the holistic problem-solving approach and best practices to achieve the success of an Erp implementation;transferring knowledge to digital natives in a South African organization;usability of the PAL objectives dashboard for children's diabetes self-management education;content factor analysis of crowd workers’ satisfaction;information logistics for a people-mover platform;application of attribute correlation in unsupervised data cleaning;critical factors for human computer interaction of eHealth for older adults;the influence of users privacy and discomfort on using healthcare information system;problems of multi-criteria optimization in the fuzzy environment and heuristic methods of their solution;velocity gradient method of Lyapunov vector functions;and combining machine learning and symbolic representation of time series for classification of behavioral patterns.

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An RSA based authentication system for smart IoT environment 21

An RSA based authentication system for smart IoT environment

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21st IEEE International conference on High Performance Computing and Communications, 17th IEEE International conference on Smart City and 5th IEEE International conference on data Science and Systems, HPCC/SmartCity/DSS 2019

作者： Mumtaz, Majid Akram, Junaid Ping, Luo Key Laboratory for Information Systems Security Ministry of Education School of Software Tsinghua University Beijing100084 China

ISBN: (纸本)9781728120584

Authentication is the fundamental security service used in almost all remote applications. All such sensitive applications over an open network need authentication mechanism that should be delivered in a trusted way. In this paper, we design an RSA based authentication system for smart IoT environment over the air network using state-of-the-art industry standards. Our system provide security services including X.509 certificate, RSA based Public Key Infrastructure (PKI), challenge/response protocols with the help of proxy induced security service provider. We describe an innovative system model, protocol design, system architecture and evaluation against known threats. Also the implemented solution designed as an add on service for multiple other sensitive applications (smart city apps, cyber physical systems etc.) which needs the support of X.509 certificate based on hard tokens to populate other security services including confidentiality, integrity, non-repudiation, privacy and anonymity of the identities. the proposed scheme is evaluated against known vulnerabilities and given detail comparisons with popular known authentication schemes. the result shows that our proposed scheme mitigate all the known security risks and provide highest level assurance to smart gadgets. © 2019 IEEE.

关键词： Smart city

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An anonymous conditional privacy-preserving authentication scheme for VANETs 21

An anonymous conditional privacy-preserving authentication s...

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作者： Li, Xincheng Liu, Yali Yin, Xinchun College of Information Engineering Yangzhou University Yangzhou China College of Computer Science and Technology Jiangsu Normal University Xuzhou China

ISBN: (纸本)9781728120584

Vehicular ad hoc networks (VANETs) have been growing rapidly because it can improve traffic safety and efficiency in transportation. In VANETs, messages are broadcast in wireless environment, which is vulnerable to be attacked in many ways. Accordingly, it is essential to authenticate the legitimation of vehicles to guarantee the performance of services. In this paper, we propose an anonymous conditional privacy-preserving authentication scheme based on message authentication code (MAC) for VANETs. With verifiable secret sharing (VSS), vehicles can obtain a group key for message generation and authentication after a mutual authentication phase. security analysis and performance evaluation show that the proposed scheme satisfies basic security and privacy-preserving requirements and has a better performance compared with some existing schemes in terms of computational cost and communication overhead. © 2019 IEEE.

关键词： Authentication

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GEOSECURE-O: A MEthOD FOR SECURE DISTANCE CALCULATION FOR TRAVEL MODE DETECTION USING OUTSOURCED GPS TRAJECTORY data 5

GEOSECURE-O: A METHOD FOR SECURE DISTANCE CALCULATION FOR TR...

引用

5th IEEE International conference on Multimedia Big data (BigMM)

作者： Patil, Vikram Parikh, Shivam B. Atrey, Pradeep K. SUNY Albany Albany Lab Privacy & Secur Coll Engn & Appl Sci Albany NY 12222 USA

ISBN: (纸本)9781728155272

Detecting the mode of transportation using multimedia sensory data, such as GPS trajectory data, is an important research problem arising out in many application domains that use location-based services (LBS). Due to the large volume, such data is commonly outsourced to third-party cloud service providers (CSP) for storage and usage by the LBS providers. the LBS providers typically deploy mode detection algorithms at the CSPs, which leads to continuous tracking of the user's location and raises severe security and privacy concerns among the users. Although many approaches exist in the literature regarding travel mode detection, security, and privacy concerns are not addressed by them. GPS based mode detection algorithms use distance and derived features such as velocity and acceleration. In this paper, we present a method, called GeoSecure-O, to securely calculate the distance without revealing the users' location to the LBS provider and utilize it to determine the travel mode. We evaluate the proposed method on the Microsoft GeoLife dataset. Experimental results show that the proposed method not only protects users' location but also achieves an accuracy similar to what is achieved using the data with users' location.

关键词： GPS privacy Secure distance calculation Trajectory mode detection

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Extracting Vehicle Sensor Signals from CAN Logs for Driver Re-identification 5

Extracting Vehicle Sensor Signals from CAN Logs for Driver R...

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5th International conference on Information Systems security and privacy (ICISSP)

作者： Lestyan, Szilvia Acs, Gergely Biczok, Gergely Szalay, Zsolt Budapest Univ Technol & Econ Dept Networked Syst & Serv CrySyS Lab Budapest Hungary Budapest Univ Technol & Econ Dept Automot Technol Budapest Hungary

ISBN: (纸本)9789897583599

data is the new oil for the car industry. Cars generate data about how they are used and who's behind the wheel which gives rise to a novel way of profiling individuals. Several prior works have successfully demonstrated the feasibility of driver re-identification using the in-vehicle network data captured on the vehicle's CAN (Controller Area Network) bus. However, all of them used signals (e.g., velocity, brake pedal or accelerator position) that have already been extracted from the CAN log which is itself not a straightforward process. Indeed, car manufacturers intentionally do not reveal the exact signal location within CAN logs. Nevertheless, we show that signals can be efficiently extracted from CAN logs using machine learning techniques. We exploit that signals have several distinguishing statistical features which can be learnt and effectively used to identify them across different vehicles, that is, to quasi "reverse-engineer" the CAN protocol. We also demonstrate that the extracted signals can be successfully used to re-identify individuals in a dataset of 33 drivers. therefore, not revealing signal locations in CAN logs per se does not prevent them to be regarded as personal data of drivers.

关键词： Driver Re-identification CAN Bus Sensor Signals privacy Reverse Engineering Machine Learning Time Series data

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A recent survey on challenges in security and privacy in internet of things 19

A recent survey on challenges in security and privacy in int...

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5th International conference on Engineering and MIS, ICEMIS 2019

作者： Aljawarneh, Shadi Radhakrishna, Vangipuram Kumar, Gunupudi Rajesh Department of Software Engineering Jordan University of Science and Technology Irbid22110 Jordan Department of Information Technology VNR Vignana Jyothi Institute of Engineering and Technology Hyderabad India

ISBN: (纸本)9781450372121

Computing environment in IoT (Internet of things) is surrounded with huge amounts of heterogeneous data fulfilling many services in everyone's daily life. Since, communication process in IoT takes place using different devices such as smart phones, sensors, mobile devices, household devices, embedded equipment etc. With the use of these variety of devices, the exchange of data in open internet environment is prone to vulnerabilities. the main cause for these vulnerabilities is the weaknesses in the design of software components and hardware components. Bridging communications gaps in the IoT is a complex process as the data is from heterogeneous sources. An effort is made in this paper to discuss various challenges that are being faced in security and privacy of data. this will be very much helpful for researchers who want to pursue research. © 2019 Association for Computing Machinery.

关键词： Internet of things

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