The Experts below are selected from a list of 5034 Experts worldwide ranked by ideXlab platform

Mithun Acharya - One of the best experts on this subject based on the ideXlab platform.

  • concealed Data aggregation for reverse multicast traffic in sensor networks encryption key distribution and routing adaptation
    IEEE Transactions on Mobile Computing, 2006
    Co-Authors: Dirk Westhoff, Joao Girao, Mithun Acharya
    Abstract:

    Routing in wireless sensor networks is different from that in commonsense mobile ad-hoc networks. It mainly needs to support reverse multicast traffic to one particular destination in a multihop manner. For such a communication pattern, end-to-end encryption is a challenging problem. To save the overall energy resources of the network, sensed Data needs to be consolidated and aggregated on its way to the final destination. We present an approach that 1) conceals sensed Data end-to-end by 2) still providing efficient and flexible in-network Data aggregation. The aggregating intermediate nodes are not required to operate on the sensed Plaintext Data. We apply a particular class of encryption transformations and discuss techniques for computing the aggregation functions "average" and "movement detection." We show that the approach is feasible for the class of "going down" routing protocols. We consider the risk of corrupted sensor nodes by proposing a key predistribution algorithm that limits an attacker's gain and show how key predistribution and a key-ID sensitive "going down" routing protocol help increase the robustness and reliability of the connected backbone

Dirk Westhoff - One of the best experts on this subject based on the ideXlab platform.

  • concealed Data aggregation for reverse multicast traffic in sensor networks encryption key distribution and routing adaptation
    IEEE Transactions on Mobile Computing, 2006
    Co-Authors: Dirk Westhoff, Joao Girao, Mithun Acharya
    Abstract:

    Routing in wireless sensor networks is different from that in commonsense mobile ad-hoc networks. It mainly needs to support reverse multicast traffic to one particular destination in a multihop manner. For such a communication pattern, end-to-end encryption is a challenging problem. To save the overall energy resources of the network, sensed Data needs to be consolidated and aggregated on its way to the final destination. We present an approach that 1) conceals sensed Data end-to-end by 2) still providing efficient and flexible in-network Data aggregation. The aggregating intermediate nodes are not required to operate on the sensed Plaintext Data. We apply a particular class of encryption transformations and discuss techniques for computing the aggregation functions "average" and "movement detection." We show that the approach is feasible for the class of "going down" routing protocols. We consider the risk of corrupted sensor nodes by proposing a key predistribution algorithm that limits an attacker's gain and show how key predistribution and a key-ID sensitive "going down" routing protocol help increase the robustness and reliability of the connected backbone

  • cda concealed Data aggregation for reverse multicast traffic in wireless sensor networks
    International Conference on Communications, 2005
    Co-Authors: Joao Girao, Dirk Westhoff, Markus Schneider
    Abstract:

    End-to-end encryption for wireless sensor networks is a challenging problem. To save the overall energy resources of the network, it is agreed that sensed Data need to be consolidated and aggregated on their way to the final destination. We present an approach that (1) conceals sensed Data end-to-end, by (2) still providing efficient in-network Data aggregation. The aggregating intermediate nodes are not required to operate on the sensed Plaintext Data. We apply a particular class of encryption transformation and exemplarily discuss the approach on the basis of two aggregation functions. We use actual implementation to show that the approach is feasible and flexible and frequently even more energy efficient than hop-by-hop encryption.

Shijun Xiang - One of the best experts on this subject based on the ideXlab platform.

  • reversible Data hiding in homomorphic encrypted domain by mirroring ciphertext group
    IEEE Transactions on Circuits and Systems for Video Technology, 2018
    Co-Authors: Shijun Xiang, Xinrong Luo
    Abstract:

    This paper proposes a novel reversible Data hiding scheme for encrypted images by using homomorphic and probabilistic properties of Paillier cryptosystem. In the proposed method, groups of adjacent pixels are randomly selected, and reversibly embedded into the rest of the image to make room for Data embedding. In each group, there are a reference pixel and a few host pixels. Least significant bits (LSBs) of the reference pixels are reset before encryption and the encrypted host pixels are replaced with the encrypted reference pixel in the same group to form mirroring ciphertext groups (MCGs). In such a way, the modification on MCGs for Data embedding will not cause any pixel oversaturation in Plaintext domain and the embedded Data can be directly extracted from the encrypted domain. In an MCG, the reference ciphertext pixel is kept unchanged as a reference while Data hider embeds the encrypted additional Data into the LSBs of the host ciphertext pixels by employing homomorphic multiplication. On the receiver side, the hidden ciphertext Data can be retrieved by employing a modular multiplicative inverse operation between the marked host ciphertext pixels and their corresponding reference ciphertext pixels, respectively. After that, the hidden Data are extracted promptly by looking for a one-to-one mapping table from ciphertext to Plaintext. Data extraction and image restoration can be accomplished without any error after decryption. Compared with the existing works, the proposed scheme has lower computation complexity, higher security performance, and better embedding performance. The experiments on the standard image files also certify the effectiveness of the proposed scheme.

  • Database authentication watermarking scheme in encrypted domain
    Iet Information Security, 2018
    Co-Authors: Shijun Xiang
    Abstract:

    Digital watermarking in encrypted domain is a potential technology for privacy protection (with encryption) and integrity authentication (with watermark) in cloud computing environments. Based on order-preserving encryption scheme (OPES), discrete cosine transformation (DCT), cryptography hash and watermarking technologies, this study proposes a new Database authentication watermarking scheme in encrypted domain. Firstly, Data in a Database are encrypted with OPES for privacy protection. Then, the encrypted Data are divided into groups for DCT operations. The watermark bits generated by hashing AC coefficients are embedded into DC coefficients for integrity authentication of the encrypted Data. In receiver, whether the Data have been tampered can be claimed by matching the hash value of AC coefficients and the extracted watermark information from DC coefficients. The watermark embedding process in encrypted domain is lossless to Plaintext Data by exploring order-preserving property of OPES. In the receiver, an illegal user can recover the original Database by directly decrypting the watermarked ciphertext Data. Experimental results have shown that the algorithm can efficiently detect different tampering operations while protecting Data content security with OPES.

  • Database authentication watermarking scheme in encrypted domain
    Iet Information Security, 2017
    Co-Authors: Shijun Xiang, Jiayong He
    Abstract:

    Digital watermarking in encrypted domain is a potential technology for privacy protection (with encryption) and integrity authentication (with watermark) in cloud computing environments. Based on order-preserving encryption scheme (OPES), discrete cosine transformation (DCT), cryptography hash and watermarking technologies, this study proposes a new Database authentication watermarking scheme in encrypted domain. Firstly, Data in a Database are encrypted with OPES for privacy protection. Then, the encrypted Data are divided into groups for DCT operations. The watermark bits generated by hashing AC coefficients are embedded into DC coefficients for integrity authentication of the encrypted Data. In receiver, whether the Data have been tampered can be claimed by matching the hash value of AC coefficients and the extracted watermark information from DC coefficients. The watermark embedding process in encrypted domain is lossless to Plaintext Data by exploring order-preserving property of OPES. In the receiver, an illegal user can recover the original Database by directly decrypting the watermarked ciphertext Data. Experimental results have shown that the algorithm can efficiently detect different tampering operations while protecting Data content security with OPES.

Joao Girao - One of the best experts on this subject based on the ideXlab platform.

  • concealed Data aggregation for reverse multicast traffic in sensor networks encryption key distribution and routing adaptation
    IEEE Transactions on Mobile Computing, 2006
    Co-Authors: Dirk Westhoff, Joao Girao, Mithun Acharya
    Abstract:

    Routing in wireless sensor networks is different from that in commonsense mobile ad-hoc networks. It mainly needs to support reverse multicast traffic to one particular destination in a multihop manner. For such a communication pattern, end-to-end encryption is a challenging problem. To save the overall energy resources of the network, sensed Data needs to be consolidated and aggregated on its way to the final destination. We present an approach that 1) conceals sensed Data end-to-end by 2) still providing efficient and flexible in-network Data aggregation. The aggregating intermediate nodes are not required to operate on the sensed Plaintext Data. We apply a particular class of encryption transformations and discuss techniques for computing the aggregation functions "average" and "movement detection." We show that the approach is feasible for the class of "going down" routing protocols. We consider the risk of corrupted sensor nodes by proposing a key predistribution algorithm that limits an attacker's gain and show how key predistribution and a key-ID sensitive "going down" routing protocol help increase the robustness and reliability of the connected backbone

  • cda concealed Data aggregation for reverse multicast traffic in wireless sensor networks
    International Conference on Communications, 2005
    Co-Authors: Joao Girao, Dirk Westhoff, Markus Schneider
    Abstract:

    End-to-end encryption for wireless sensor networks is a challenging problem. To save the overall energy resources of the network, it is agreed that sensed Data need to be consolidated and aggregated on their way to the final destination. We present an approach that (1) conceals sensed Data end-to-end, by (2) still providing efficient in-network Data aggregation. The aggregating intermediate nodes are not required to operate on the sensed Plaintext Data. We apply a particular class of encryption transformation and exemplarily discuss the approach on the basis of two aggregation functions. We use actual implementation to show that the approach is feasible and flexible and frequently even more energy efficient than hop-by-hop encryption.

Joel J P C Rodrigues - One of the best experts on this subject based on the ideXlab platform.

  • privacy preserving Data aggregation scheme for mobile edge computing assisted iot applications
    IEEE Internet of Things Journal, 2019
    Co-Authors: Xiong Li, Fan Wu, Saru Kumari, Joel J P C Rodrigues
    Abstract:

    As the rapid development of 5G and Internet of Things (IoT) techniques, more and more mobile devices with specific sensing capabilities access to the network and large amounts of Data. The traditional architecture of the cloud computing cannot satisfy the requirements, such as low latency, fast Data access for IoT applications. Mobile edge computing (MEC) can solve these problems, and improve the execution efficiency of the system. In this paper, we propose a privacy preserving Data aggregation scheme for MEC assisted IoT applications. In our model, there are three participants, i.e., terminal device (TD), edge server (ES), and public cloud center (PCC). The Data generated by the TDs is encrypted and transmitted to the ES, then the ES aggregates the Data of the TDs and submits the aggregated Data to the PCC. At last, the aggregated Plaintext Data can be recovered by PCC through its private key. Our scheme not only guarantees Data privacy of the TDs but also provides source authentication and integrity. Compared with traditional model, our scheme can save half of communication cost, and is very suitable for MEC assisted IoT applications.