Analyzing the Impact of Scene Transitions on Indoor Camera Localization through Scene Change Detection in Real-Time

Real-time indoor camera localization is a significant problem in indoor robot navigation and surveillance systems.The scene can change during the image sequence and plays a vital role in the localization performance of robotic applications in terms of accuracy and speed.This research proposed a real-time indoor camera localization system based on a recurrent neural network that detects scene change during the image sequence.An annotated image dataset trains the proposed system and predicts the camera pose in real-time.The system mainly improved the localization performance of indoor cameras by more accurately predicting the camera pose.It also recognizes the scene changes during the sequence and evaluates the effects of these changes.This system achieved high accuracy and real-time performance.The scene change detection process was performed using visual rhythm and the proposed recurrent deep architecture,which performed camera pose prediction and scene change impact evaluation.Overall,this study proposed a novel real-time localization system for indoor cameras that detects scene changes and shows how they affect localization performance.

Security Attacks on the IoT Network with 5G Wireless Communication

The term Internet of Things has increased in popularity in recent years and has spread to be used in many applications around us,such as healthcare applications,smart homes and smart cities,IoT is a group of smart devices equipped with sensors that have the ability to calculate data,and carry out actions in the environment in which they are located,they are connected to each other through the Internet and recently it has become supported by 5G technology due to many advantages such as its ability to provide a fast connection,despite the efficiency of the IoT supported by the five G technology,it is subject to many security challenges.In this paper,we conducted a comprehensive review of previous research related to the security requirements of the IoT and security attacks.

Portable and Efficient Implementation of CRYSTALS-Kyber Based on WebAssembly

With the rapid development of quantum computers capable of realizing Shor’s algorithm,existing public key-based algorithms face a significant security risk.Crystals-Kyber has been selected as the only key encapsulation mechanism(KEM)algorithm in the National Institute of Standards and Technology(NIST)Post-Quantum Cryptography(PQC)competition.In this study,we present a portable and efficient implementation of a Crystals-Kyber post-quantum KEM based on WebAssembly(Wasm),a recently released portable execution framework for high-performance web applications.Until now,most Kyber implementations have been developed with native programming languages such as C and Assembly.Although there are a few previous Kyber implementations based on JavaScript for portability,their performance is significantly lower than that of implementations based on native programming languages.Therefore,it is necessary to develop a portable and efficient Kyber implementation to secure web applications in the quantum computing era.Our Kyber software is based on JavaScript and Wasm to provide portability and efficiency while ensuring quantum security.Namely,the overall software is written in JavaScript,and the performance core parts(secure hash algorithm-3-based operations and polynomial multiplication)are written in Wasm.Furthermore,we parallelize the number theoretic transform(NTT)-based polynomial multiplication using single instruction multiple data(SIMD)functionality,which is available in Wasm.The three steps in the NTT-based polynomial multiplication have been parallelized with Wasm SIMD intrinsic functions.Our software outperforms the latest reference implementation of Kyber developed in JavaScript by×4.02(resp.×4.32 and×4.1),×3.42(resp.×3.52 and×3.44),and×3.41(resp.×3.44 and×3.38)in terms of key generation,encapsulation,and decapsulation on Google Chrome(resp.Firefox,and Microsoft Edge).As far as we know,this is the first software implementation of Kyber with Wasm technology in the web environment.

Machine Learning Techniques for Detecting Phishing URL Attacks

Cyber Attacks are critical and destructive to all industry sectors.They affect social engineering by allowing unapproved access to a Personal Computer(PC)that breaks the corrupted system and threatens humans.The defense of security requires understanding the nature of Cyber Attacks,so prevention becomes easy and accurate by acquiring sufficient knowledge about various features of Cyber Attacks.Cyber-Security proposes appropriate actions that can handle and block attacks.A phishing attack is one of the cybercrimes in which users follow a link to illegal websites that will persuade them to divulge their private information.One of the online security challenges is the enormous number of daily transactions done via phishing sites.As Cyber-Security have a priority for all organizations,Cyber-Security risks are considered part of an organization’s risk management process.This paper presents a survey of different modern machine-learning approaches that handle phishing problems and detect with high-quality accuracy different phishing attacks.A dataset consisting of more than 11000 websites from the Kaggle dataset was utilized and studying the effect of 30 website features and the resulting class label indicating whether or not it is a phishing website(1 or−1).Furthermore,we determined the confusion matrices of Machine Learning models:Neural Networks(NN),Na飗e Bayes,and Adaboost,and the results indicated that the accuracies achieved were 90.23%,92.97%,and 95.43%,respectively.

Research on the Realization Path and Application of a Data Governance System Based on Data Architecture

The construction and development of the digital economy,digital society and digital government are facing some common basic problems.Among them,the construction of the data governance system and the improvement of data governance capacity are short boards and weak links,which have seriously restricted the construction and development of the digital economy,digital society and digital government.At present,the broad concept of data governance goes beyond the scope of traditional data governance,which“involves at least four aspects:the establishment of data asset status,management system and mechanism,sharing and openness,security and privacy protection”.Traditional information technologies and methods are powerless to comprehensively solve these problems,so it is urgent to improve understanding and find another way to reconstruct the information technology architecture to provide a scientific and reasonable technical system for effectively solving the problems of data governance.This paper redefined the information technology architecture and proposed the data architecture as the connection link and application support system between the traditional hardware architecture and software architecture.The data registration system is the core composition of the data architecture,and the public key encryption and authentication system is the key component of the data architecture.This data governance system based on the data architecture supports complex,comprehensive,collaborative and cross-domain business application scenarios.It provides scientific and feasible basic support for the construction and development of the digital economy,digital society and digital government.