Search Results

Semi-bent functions are Boolean functions with almost optimal nonlinearity, and the number of input variables can be either even or odd. Semi-bent functions are widely used in the design of symmetric cryptographic systems and CDMA communication ...

The field of cryptography has given a lot of attention to rotation symmetric Boolean functions (RSBFs) because they possess special structures and include many functions with good cryptographic properties. It is difficult to construct even-...

The construction of IoT cloud platform brings great convenience to the storage of massive IoT node data. To ensure security of data collected by the IoT nodes, the data must be encrypted when the nodes upload it. However, it arises some challenge ...

Self-supervised monocular depth estimation has opened up exciting possibilities for practical applications, including scene understanding, object detection, and autonomous driving, without the need for expensive depth annotations. However, ...

The emergence of the Vehicular Ad-hoc Networks (VANETs) has greatly enhanced the efficiency and safety of transportation systems. However, due to the dynamicness and openness of vehicular networks, it is vulnerable for VANETs to confront various ...

We propose a one-time blind signature scheme based on coding theory, which is improved on the basis of the SHMWW protocol. By adding two blinding factors, the anonymity of users is protected. The analysis proves that the scheme is secure and meets the ...

Reinforcement Learning (RL)-based recommender systems (RSs) have garnered considerable attention due to their ability to learn optimal recommendation policies and maximize long-term user rewards. However, deploying RL models directly in online ...

In many real-world scenarios, Reinforcement Learning (RL) algorithms are trained on data with dynamics shift, i.e., with different underlying environment dynamics. A majority of current methods address such issue by training context encoders to identify ...

Among indoor localization services, WiFi fingerprint technology has attracted much attention because of its wide coverage area and high positioning accuracy. However, concerns arise regarding the vulnerability of users’ personal sensitive ...

Public-key Encryption with Keyword Search (PEKS) provides an efficient way to search on encrypted cloud data. However, it cannot resist against off-line Inside Keyword Guessing Attacks (IKGA). To alleviate this issue, Huang and Li proposed the ...

Deinterlacing is a classical issue in video processing, aimed at generating progressive video from interlaced content. There are precious videos that are difficult to reshoot and still contain interlaced content. Previous methods have primarily ...$$

Privacy-preserving online ride-hailing (ORH) service enables riders and drivers to conveniently establish optimized ride-hailing through mobile applications without disclosing their location information. In order to alleviate the load of central server ...

At Eurocrypt 2016, Méaux et al. presented FLIP, a new family of stream ciphers that aimed to enhance the efficiency of homomorphic encryption frameworks. Motivated by FLIP, recent research has focused on the study of Boolean functions with good ...

Current advances in recommender systems have been remarkably successful in optimizing immediate engagement. However, long-term user engagement, a more desirable performance metric, remains difficult to improve. Meanwhile, recent reinforcement learning (...

Personalized recommender systems fulfill the daily demands of customers and boost online businesses. The goal is to learn a policy that can generate a list of items that matches the user's demand or interest. While most existing methods learn a ...

The deployment of ultra-dense networks in the fifth-generation (5 G) network architecture can significantly improve the quality of wireless links, but this will cause frequent handovers of mobile users and increase authentication delays. Furthermore, the ...

Recently, short video platforms have achieved rapid user growth by recommending interesting content to users. The objective of the recommendation is to optimize user retention, thereby driving the growth of DAU (Daily Active Users). Retention is a long-...

In recent years, Multi-task Learning (MTL) has yielded immense success in Recommender System (RS) applications [40]. However, current MTL-based recommendation models tend to disregard the session-wise patterns of user-item interactions because they are ...

The wide popularity of short videos on social media poses new opportunities and challenges to optimize recommender systems on the video-sharing platforms. Users sequentially interact with the system and provide complex and multi-faceted responses, ...

In recommender systems, reinforcement learning solutions have effectively boosted recommendation performance because of their ability to capture long-term user-system interaction. However, the action space of the recommendation policy is a list of items,...