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    Privacy Against Brute-Force Inference Attacks

    , Article 2019 IEEE International Symposium on Information Theory, ISIT 2019, 7 July 2019 through 12 July 2019 ; Volume 2019-July , 2019 , Pages 637-641 ; 21578095 (ISSN) ; 9781538692912 (ISBN) Osia, S. A ; Rassouli, B ; Haddadi, H ; Rabiee, H. R ; Gunduz, D ; The Institute of Electrical and Electronics Engineers, Information Theory Society ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2019
    Abstract
    Privacy-preserving data release is about disclosing information about useful data while retaining the privacy of sensitive data. Assuming that the sensitive data is threatened by a brute-force adversary, we define Guessing Leakage as a measure of privacy, based on the concept of guessing. After investigating the properties of this measure, we derive the optimal utility-privacy trade-off via a linear program with any f-information adopted as the utility measure, and show that the optimal utility is a concave and piece-wise linear function of the privacy-leakage budget  

    A new and efficient authentication scheme for vehicular ad hoc networks

    , Article Journal of Intelligent Transportation Systems: Technology, Planning, and Operations ; Volume 24, Issue 2 , 2020 , Pages 171-183 Bayat, M ; Barmshoory, M ; Pournaghi, S. M ; Rahimi, M ; Farjami, Y ; Aref, M. R ; Sharif University of Technology
    Taylor and Francis Inc  2020
    Abstract
    In the past decades, Vehicular Ad hoc Networks (VANETs) have been increasingly developed. Providing secure and efficient communication is essential in VANETs. One of most important challenges in the secure and efficient communications is proposing an appropriate authentication scheme. In this paper, we suggest an efficient and novel authentication scheme for VANETs. In the proposed scheme, vehicles authenticate each other without any limitation such as need for group of signers, online Road Side Units (RSUs), a set of pseudo identities and tamper-proof devices. Moreover, our simulation shows that the proposed scheme is well designed and efficient. © 2019, © 2019 Taylor & Francis Group, LLC  

    A hybrid deep learning architecture for privacy-preserving mobile analytics

    , Article IEEE Internet of Things Journal ; Volume 7, Issue 5 , 2020 , Pages 4505-4518 Osia, S. A ; Shamsabadi, A. S ; Sajadmanesh, S ; Taheri, A ; Katevas, K ; Rabiee, H. R ; Lane, N. D ; Haddadi, H ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2020
    Abstract
    Internet-of-Things (IoT) devices and applications are being deployed in our homes and workplaces. These devices often rely on continuous data collection to feed machine learning models. However, this approach introduces several privacy and efficiency challenges, as the service operator can perform unwanted inferences on the available data. Recently, advances in edge processing have paved the way for more efficient, and private, data processing at the source for simple tasks and lighter models, though they remain a challenge for larger and more complicated models. In this article, we present a hybrid approach for breaking down large, complex deep neural networks for cooperative, and... 

    An id-based privacy-preserving integrity verification of shared data over untrusted cloud

    , Article 25th International Computer Conference, Computer Society of Iran, CSICC 2020, 1 January 2020 through 2 January 2020 ; 2020 Rabaninejad, R ; Sedaghat, S. M ; Ahmadian Attari, M ; Aref, M. R ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2020
    Abstract
    Data sharing is considered as a favorite service provided by cloud storage servers in which the stored data is shared among a group of users. However, auditing such shared data is a big security issue for cloud users. In this paper, we propose an ID-Based public shared data integrity auditing scheme, in which all the group users are able to update, delete or insert new blocks into the shared data. Besides, the cloud server can revoke a misbehaving user with a minimum overhead. The scheme is secure against an untrusted cloud server and also preserves data privacy against the public verifier. Furthermore, overhead analysis shows the efficiency of proposed scheme in comparison to the existing... 

    A secure and privacy-preserving protocol for holding double auctions in smart grid

    , Article Information Sciences ; Volume 557 , 2021 , Pages 108-129 ; 00200255 (ISSN) Sarenche, R ; Salmasizadeh, M ; Ameri, M. H ; Aref, M. R ; Sharif University of Technology
    Elsevier Inc  2021
    Abstract
    One of the most used types of auctions in the smart grid is the double auction, in which both buyers and sellers can respectively submit their bids and asks to participate in the auction. In recent years, many schemes have been designed to propose a double auction mechanism for the smart grids; however, few of these schemes consider the information security aspects and users’ privacy. In this paper, we propose a protocol that helps different double auction mechanisms be implemented securely in the smart grids. This protocol not only can satisfy the security requirements of a double auction scheme but is also compatible with the smart grid technologies. In this scheme, in order to preserve... 

    Security enhancement of an auditing scheme for shared cloud data

    , Article International Journal of Internet Protocol Technology ; Volume 15, Issue 1 , 2022 , Pages 60-68 ; 17438209 (ISSN) Rabaninejad, R ; Attari, M. A ; Asaar, M. R ; Aref, M. R ; Sharif University of Technology
    Inderscience Publishers  2022
    Abstract
    In cloud storage services, public auditing mechanisms allow a third party to verify integrity of the outsourced data on behalf of data owners without the need to retrieve data from the cloud server. In some applications, the identity of data users should be kept private from the third party auditor. Oruta is a privacy preserving public auditing scheme for shared data in the cloud which exploits ring signatures to protect the identity privacy. In this paper, we propose two attacks and demonstrate that the scheme is insecure and a dishonest server can arbitrarily tamper the outsourced data without being detected by the auditor. We also propose a solution to remedy this weakness with the... 

    Privacy Preserving Data Mining

    , M.Sc. Thesis Sharif University of Technology Javar, Zahra (Author) ; khazaei, Shahram (Supervisor)
    Abstract
    Increasing use of new data technologies have made data collection possible in large scales. Practicallity of the data relies upon the extraction of meaningful knowledge.Data mining is a solution to this problem. One of the new areas in data mining is consideration of the concern of privacy alongside the usefulness of the mining results.Main goal of privacy preserving data mining is to develop data mining models which only extract the useful knowledge. In recent years, many researches have been done in this area. Since the literature and notation of these published works vary, a survey would help to better understand these concepts. This thesis tries to explain, analyse,unify and categorize... 

    Design of a Lightweight and Provably Secure Ciphertext-policy Attribute-Based Encryption Algorithm for Cloud Computing

    , M.Sc. Thesis Sharif University of Technology Ghertasi Oskouei, Alireza (Author) ; Salmasizadeh, Mahmoud (Supervisor) ; Mohajeri, Javad (Supervisor)
    Abstract
    With the help of cloud computing, easy and fast access to a wide range of computing resources through the network is provided for a wide range of users. Cloud computing, on the other hand, faces security challenges in protecting users' privacy and access control because the cloud service provider is not a trusted entity, so it is possible to access or disclose sensitive data. Various solutions have been proposed to simultaneously meet the above two security requirements. The most well-known solution in this field is "Attribute-Based Encryption".In this dissertation, after reviewing the existing schemes to respond to the obstacles to implementing attribute-based encryption, an attribute-based... 

    Protecting Deep Neural Networks Against Black-box Adversarial Attacks

    , M.Sc. Thesis Sharif University of Technology Farshadfar, Elahe (Author) ; Jalili, Rasoul (Supervisor)
    Abstract
    Recent advances in Machine Learning and specially Deep Learning, have caused a dramatic increase in the use of these algorithms in different applications, such as sickness diagnosis, anomaly detection, malware detection, and etc. Since training deep neural networks requires a high cost in terms of both gathering loads of labeled data and computing and human resources, deep learning models are a part of an organization’s intellectual property and so, the importance of securing these models is increasing. One of the most important types of attacks that compromises the security of deep neural networks is black-box adversarial example attack. In adversarial example attacks, the adversary... 

    Designing a Succinct Argument System Based on GKR Protocol Via Polynomial Commitment Schemes

    , M.Sc. Thesis Sharif University of Technology Shirzad, Alireza (Author) ; Eghlidos, Taraneh (Supervisor)
    Abstract
    With the dramatic advancements in information technology and the industry requirements for security and privacy, proof systems play a crucial role in cryptography. Among the vast variety of proof systems, succinct non-interactive arguments (SNARG) seem to be the most appealing class of proof systems, due to their attractive properties. SNARGs are usually made up of two constructive components, namely the information theoretic part and the cryptographic part. The GKR protocol was introduced as a proof system for a tractable family of languages called “log-Space Uniform Circuits”. The log-space uniformity is a necessary condition for the protocol to be succinct. Hence, it is not possible to... 

    Designing a Succinct Argument System Based on GKR Protocol Via Polynomial Commitment Schemes

    , M.Sc. Thesis Sharif University of Technology Shirzad, Alireza (Author) ; Eghlidos, Taraneh (Supervisor)
    Abstract
    With the dramatic advancements in information technology and the industry requirements for security and privacy, proof systems play a crucial role in cryptography. Among the vast variety of proof systems, succinct non-interactive arguments (SNARG) seem to be the most appealing class of proof systems, due to their attractive properties. SNARGs are usually made up of two constructive components, namely the information theoretic part and the cryptographic part. The GKR protocol was introduced as a proof system for a tractable family of languages called “log-Space Uniform Circuits”. The log-space uniformity is a necessary condition for the protocol to be succinct. Hence, it is not possible to... 

    Designing a Lightweight Smart Health System with Identity Privacy Protection

    , M.Sc. Thesis Sharif University of Technology Zahedi, Hossein (Author) ; Aref, Mohammad Reza (Supervisor)
    Abstract
    The applications of Internet of Things technology are increasing day by day. In the Internet of Things, various devices are connected to each other with the help of the Internet and perform various operations automatically. Today, this technology has various applications in smart city, smart home, smart car, as well as military industries and industrial factories. One of the newest applications is its use in the field of health and hygiene, which is known as the Internet of Medical Things or Smart Health. With the emergence of new epidemic diseases, the importance of this application becomes more clear. Smart health helps the patient. without going to the hospital and doctor in person, to... 

    AS5: A secure searchable secret sharing scheme for privacy preserving database outsourcing

    , Article Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Pisa ; Volume 7731 LNCS , 2013 , Pages 201-216 ; 03029743 (ISSN) ; 9783642358890 (ISBN) Hadavi, M. A ; Damiani, E ; Jalili, R ; Cimato, S ; Ganjei, Z ; Sharif University of Technology
    2013
    Abstract
    Researchers have been studying security challenges of database outsourcing for almost a decade. Privacy of outsourced data is one of the main challenges when the "Database As a Service" model is adopted in the service oriented trend of the cloud computing paradigm. This is due to the insecurity of the network environment or even the untrustworthiness of the service providers. This paper proposes a method to preserve privacy of outsourced data based on Shamir's secret sharing scheme. We split attribute values into several parts and distribute them among untrusted servers. The problem of using secret sharing in data outsourcing scenario is how to search efficiently within the randomly... 

    A secure and efficient authentication technique for vehicular Ad-Hoc networks

    , Article IEEE Transactions on Vehicular Technology ; Volume 67, Issue 6 , 2018 , Pages 5409-5423 ; 00189545 (ISSN) Rajabzadeh Asaar, M ; Salmasizadeh, M ; Susilo, W ; Majidi, A ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2018
    Abstract
    Vehicular ad-hoc networks (VANETs) are under active development, thanks in part to recent advances in wireless communication and networking technologies. The most fundamental part in VANETs is to enable message authentications between vehicles and roadside units. Message authentication using proxy vehicles has been proposed to reduce the computational overhead of roadside units significantly. In this message authentication scheme, proxy vehicles that verify multiple messages at the same time improve roadside units' efficiency. In this paper, first we show that the only proxy-based authentication scheme (PBAS) presented for this goal by Liu et al. cannot guarantee message authenticity, and... 

    A lightweight anonymous authentication protocol for IoT wireless sensor networks

    , Article 16th International ISC (Iranian Society of Cryptology) Conference on Information Security and Cryptology, ISCISC 2019, 28 August 2019 through 29 August 2019 ; 2019 , Pages 39-44 ; 9781728143736 (ISBN) Rahnama, A ; Beheshti Atashgah, M ; Eghlidos, T ; Aref, M. R ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2019
    Abstract
    Lightweight authentication protocols are crucial for privacy preserving in Internet of Things (IoT). Authentication protocols should be implementable for devices with constrained memory and computational power in this area, in addition to resistance against cryptographic threats. On the other hand, these protocols should not impose a heavy computational load on such devices. In this paper we proposed an authentication protocol that properly meets these features. Our protocol is suitable for wireless sensor networks (WSNs). In this protocol, authentication is fulfilled with low communication and computational loads between sensors and users through the gateway interface using a hash function...