A Ring Signature Trust Model for Project Review Based on Blockchain Smart Contract

The traditional offline review model of grid projects has the problems of high cost, high risk and low efficiency, making the project review insecure and inefficient. What is worse, the review data of a grid project are generally stored in a central database, which is vulnerable to attacks and not highly trustable. To solve the problems, this paper proposes a ring signature trust model based on smart contract, an important blockchain technology, for project review. The blockchain technology was introduced to build an online review platform for grid projects, greatly saving human and financial resources. Then, the consensus efficiency was improved with a trust-based node consensus mechanism. Besides, the ring signature was integrated with smart contract to allow review experts to submit their results anonymously, ensuring the fairness and impartiality of grid project review. On this basis, an efficient review system was established for grid projects, and a secure review environment was created, so that the review results will not be tampered with. The case analysis proves that the proposed method can effectively solve the problems of traditional grid project review, making the review system more secure and efficient. The research findings provide decision and theoretical supports for grid project review

Diffraction from deformed volume holograms: perturbation theory approach

We derive the response of a volume grating to arbitrary small deformations, using a perturbative approach. This result is of interest for two applications: (a) when a deformation is undesirable and one seeks to minimize the diffracted field's sensitivity to it and (b) when the deformation itself is the quantity of interest and the diffracted field is used as a probe into the deformed volume where the hologram was originally recorded. We show that our result is consistent with previous derivations motivated by the phenomenon of shrinkage in photopolymer holographic materials. We also present the analysis of the grating's response to deformation due to a point indenter and present experimental results consistent with theory

Fine-grained Poisoning Attack to Local Differential Privacy Protocols for Mean and Variance Estimation

Although local differential privacy (LDP) protects individual users' data from inference by an untrusted data curator, recent studies show that an attacker can launch a data poisoning attack from the user side to inject carefully-crafted bogus data into the LDP protocols in order to maximally skew the final estimate by the data curator. In this work, we further advance this knowledge by proposing a new fine-grained attack, which allows the attacker to fine-tune and simultaneously manipulate mean and variance estimations that are popular analytical tasks for many real-world applications. To accomplish this goal, the attack leverages the characteristics of LDP to inject fake data into the output domain of the local LDP instance. We call our attack the output poisoning attack (OPA). We observe a security-privacy consistency where a small privacy loss enhances the security of LDP, which contradicts the known security-privacy trade-off from prior work. We further study the consistency and reveal a more holistic view of the threat landscape of data poisoning attacks on LDP. We comprehensively evaluate our attack against a baseline attack that intuitively provides false input to LDP. The experimental results show that OPA outperforms the baseline on three real-world datasets. We also propose a novel defense method that can recover the result accuracy from polluted data collection and offer insight into the secure LDP design

Removal of 17α-ethynylestradiol from aqueous solutions by a hybrid PAC/UF process

This study investigated the removal of 17α-ethynylestradiol (EE2) from water using activated carbon adsorption and powdered activated carbon/ultrafiltration (PAC/UF). EE2 was easily adsorbed by PAC. The adsorption of EE2 fitted the Freundlich model well. The influences of initial EE2 concentration, filtration rate, PAC dose, natural organic matter (NOM), and sodium dodecyl benzene sulfonate (SDBS) were investigated. The EE2 concentration and filtration rate had no significant effect on EE2 removal, whereas the addition of PAC had a significant effect on EE2 removal. The removal rate of EE2 increased dramatically from 7.01% to 80.03% as the PAC dose was increased from 0 to 10 mg/L. Both SDBS and NOM decreased the EE2 removal efficiency. The removal efficiency of EE2 in the PAC/UF process decreased from 86.77% to 42.64% as the SDBS concentration was increased from 0 to 50 mg/L. It was concluded that activated carbon adsorption and PAC/UF can be used for the effective removal of EE2 from water.Keywords: 17-α-ethynylestradiol, adsorption, ultrafiltration, PAC/UF process, removal efficienc