Computing Data Security Research Articles

Analysis of Key Technologies for Data Security Protection Based on Cloud Computing

With the rapid development of cloud computing, more and more enterprises and institutions are migrating their data and business operations to the cloud. However, this shift has brought data security issues in cloud environments to the forefront. This paper primarily investigates the key technologies for data security protection in cloud computing environments. It begins by introducing the basic concepts and architecture of cloud computing and analyzing the fundamental concepts and threats related to data security protection. The paper then delves into critical technologies such as data encryption, access control, data storage and backup security, and data privacy protection, detailing the algorithmic principles and implementation methods of these technologies. Additionally, the paper explores the challenges faced by current cloud computing data security protection technologies and their corresponding solutions, analyzing the effectiveness of these technologies through practical case studies. Finally, the paper forecasts the future development trends of cloud computing data security technologies, particularly the potential impact of emerging technologies on data security protection. This research aims to provide theoretical and technical support for data security protection in cloud computing environments.

From the Informatic Crime to the Informatic Criminality

Although the digital world brings enormous benefits, it is also vulnerable. Cyber space incidents, either intentional or accidental, are rising to an alarming level and could disrupt the provision of essential services. State economies are already affected, to a great extent, by cybercrime activities against individuals, public and private sectors. Virtual criminals use more and more complex methods for penetrating into computer systems, such as critical data theft or repositories. Cyber security has become a component of the security of all states, which, according to international conventions and treaties, can be achieved through the knowledge, prevention and counteraction of attacks and threats, as well as by diminishing the vulnerabilities of cyber infrastructure for the effective management of all security risks prevention, and fight against cybercrime and, last but not least, cyber defense. The provision in the new Criminal Code of possible or facilitated offenses by new information and communication technologies, in particular crimes against the security and integrity of systems and computer data, is a necessary action to synchronize our criminal law at the highest level with European law and as well as the necessary response to the exponential growth of this type of crime.

Comparative Analysis on Matters Affecting the Global Economy A Case Study of E-Commerce Business

Electronic commerce (e-commerce) is generally viewed as the buying and selling of products over the internet, however, any transaction that is concluded exclusively through electronic means can be regarded as e-commerce. E-commerce may have great economic impacts in subsequent times. Internet commerce will transform the physiognomy of business endlessly. Furthermore, it has impacted the information technology (IT), electronic, social, and e-commerce has increased the productivity development globally in the recent times. The effect of e- commerce on developing economies for curtailing in competencies for trading and to enhance productivity in terms of economies with competitors globally. There are several measures to expedite the increase of productivity by reducing costs, enhancing competencies, and curtailing time and distance, e- commerce could emerge as a significant device for growth and increase in all sectors. Frameworks for information security is clearly applied to the features that affect e- commerce that incorporates computer security, data security, and other broader compass of the information security framework. E-commerce security possess its own particular distinctions and is one of the topmost visible security features that affect the consumer through to acquire e- business finance and value investment, globetrotting, and its internet embodiment.

A paradigm shift in education: Prospects and recommendations for schools in 2030

The interest of this study is borne out of an attempt to investigate the drastic change that technology has brought to the instructional core. The future of schools is exponentially upgrading through the integration of sophisticated educational systems that appear to create a whole new trajectory for all education stakeholders. Instruction will be adaptive and assessment will be real-time. In this profound and complex scenario, current schools will no longer be the epicenters of knowledge as AI-powered educational tools will hegemonize and remarkably offer extraordinarily enticing adaptive learning opportunities through smart classrooms and other technological trends and patterns, such as Cloud Computing (connectivity and data security) and the Internet of Things (IoT) (intelligent whiteboards). Needless to say, technology enhanced learning will unequivocally become the pinnacle of education. Therefore, many educators will have to expand their instructional technology to rise to the occasion.

Anti-Malware System Using Machine Learning Language

In today's interconnected digital landscape, the proliferation of malicious software, or malware, poses a grave threat to the security and integrity of computer systems and data. To combat this ever-evolving menace, there is a pressing need for innovative and intelligent anti-malware solutions. This abstract introduces an advanced model: the "Intelligent Anti- Malware System Using Machine Learning Language." This model leverages the power of machine learning, a subfield of artificial intelligence, to revolutionize the way we detect and mitigate malware threats. Unlike traditional signature-based approaches, which are limited by their reliance on known patterns, our system employs cutting-edge machine learning techniques to proactively identify and combat malware in real- time. By continuously learning from evolving malware behaviours and characteristics, the system adapts and evolves alongside the threat landscape

Investigation on the Application of Computer System Reliability and Data Security in GPN Networks

Investigation on the Application of Computer System Reliability and Data Security in GPN Networks

Enriched Cloud Computing Data Security through a Triple Level Encryption Model for Healthcare Systems

Enriched Cloud Computing Data Security through a Triple Level Encryption Model for Healthcare Systems

Securing Cloud Environment Using Hybrid (Adaptive Public Key) Model

Although data security has always been important, it is now even more so given the significance of cloud computing and the enormous amounts of complex data it holds. In cloud computing, having data accessible at all times is vital, as is collecting and preserving data without loss or corruption. The use of appropriate algorithms is one of the most important aspects of security. These protocols protect data by limiting unauthorized access. In order to ensure the security of your data, you need to conduct research on the security risks associated with public clouds. The purpose of this document is to provide an in-depth review of public clouds and the security issues associated with them. In order to review the literature review that provides an in-depth understanding of cloud storage and security issues, it is necessary to overcome several obstacles. As a result, based on an analysis of cloud architecture, we provide the data security model that can be applied to cloud computing. Our cloud computing data security model is now better. Lastly, the work can be done in a direction that benefits from faster encryption times and increased data secrecy by utilising machine learning and authentication technologies for safe cloud storage.

Expert System to Diagnose Angina Pectoris Disease (Sitting Wind) Using the Naïve Bayes Method

aspects of data or information. The issue of security and confidentiality of computer data is something that is important in this information era, especially for the Teluk Segara Sub-District Office, Bengkulu City. Various ways are done to protect the data or information. One of them is by using cryptography with the Rail Fence Cipher algorithm. The Rail Fence Cipher algorithm applies the tranposition technique by arranging the plaintext in the matrix in rows. The system implementation uses PHP programming language with MySql database. The method used in this research is waterfall, this application is designed using UML (Unified Modeling Language). From the analysis and discussion of the research obtained that the encryption results produced by Rail Fence Cipher do not change the plaintext results into ciphertext if the key is greater or more than the plaintext character.

Application of internet of things data processing based on machine learning in community sports detection

Due to the rapid development of the IoT ecosystem, a large amount of IoT data has been generated. However, in the current development process of the Internet of Things, how to ensure data security is a key issue. Traditional IoT security protection is relatively basic. With the increase of data size, these facilities need to be further improved in terms of computing, information security, storage information, and stability. However, traditional security and privacy protection methods are often insufficient for large topology structures. Blockchain is based on distributed networks, characterized by monotonous and decentralized data. Blockchain also provides a new approach to encrypting IoT security information. This article introduces blockchain technology into the Internet of Things, which can prevent reliance on centralized servers and effectively protect internet data and information security. Then this article also analyzed the motion recognition and detection of community sports, as well as the widespread application of computer vision and machine learning technologies in various fields such as computer mining and data security. Motion detection technology is very important in the field of computer vision and has applications in various real-world scenarios. This article studies new ideas for information encryption in the computer Internet of Things, and also analyzes machine learning and motion detection systems and applies them to community sports, improving the development of community sports.

Research on Computer Data Security and Protection from the Perspective of Blockchain Technology Support

Research on Computer Data Security and Protection from the Perspective of Blockchain Technology Support

State-of-the-art in Cloud Computing Data Security

State-of-the-art in Cloud Computing Data Security

A deep learning based steganography integration framework for ad-hoc cloud computing data security augmentation using the V-BOINC system

In the early days of digital transformation, the automation, scalability, and availability of cloud computing made a big difference for business. Nonetheless, significant concerns have been raised regarding the security and privacy levels that cloud systems can provide, as enterprises have accelerated their cloud migration journeys in an effort to provide a remote working environment for their employees, primarily in light of the COVID-19 outbreak. The goal of this study is to come up with a way to improve steganography in ad hoc cloud systems by using deep learning. This research implementation is separated into two sections. In Phase 1, the “Ad-hoc Cloud System” idea and deployment plan were set up with the help of V-BOINC. In Phase 2, a modified form of steganography and deep learning were used to study the security of data transmission in ad-hoc cloud networks. In the majority of prior studies, attempts to employ deep learning models to augment or replace data-hiding systems did not achieve a high success rate. The implemented model inserts data images through colored images in the developed ad hoc cloud system. A systematic steganography model conceals from statistics lower message detection rates. Additionally, it may be necessary to incorporate small images beneath huge cover images. The implemented ad-hoc system outperformed Amazon AC2 in terms of performance, while the execution of the proposed deep steganography approach gave a high rate of evaluation for concealing both data and images when evaluated against several attacks in an ad-hoc cloud system environment.

Examining Cloud Computing's Data Security Problems and Solutions: Authentication and Access Control (AAC)

Examining Cloud Computing's Data Security Problems and Solutions: Authentication and Access Control (AAC)

Application Research of Data Encryption Algorithm in Computer Security Management

In order to promote the research process of information security in the whole society, improve the safety factor of computer data communication, strengthen computer security management, the author proposes a computer data encryption strategy that combines the strong security of the 3DES encryption algorithm and the asymmetric encryption advantages of the RSA algorithm. Through the detailed analysis of DES encryption algorithm and 3DES encryption, creatively uses the RSA encryption algorithm to improve the single 3DES algorithm, consolidates the performance of the 3DES encryption algorithm to ensure data communication, and ensures the data integrity, better improve encryption performance. Experiments show that: The proposed encryption algorithm improves security performance by 10 times, and the response efficiency is only 1 ms away from other algorithms, compared with other algorithms, it has better encryption performance and is suitable for actual computer data communication scenarios. Conclusion: The encryption algorithm proposed by the author has achieved good results in terms of security performance and response efficiency, it is suitable for actual computer data security communication and can effectively improve computer security management.

Dynamics of a new class of solitary wave structures in telecommunications systems via a (2+1)-dimensional nonlinear transmission line

The telecommunications revolution finds its foundation thanks to new service offerings including voice, images, security of computer data and much more. Thereby, telecommunications can be defined as the transmission of information at a distance using electronic, computer, wired, optical or electromagnetic technologies. At an expense of these characteristics, this paper explores the dynamics of various travelingwaves, through telecommunications systems. In this perspective, we use a (2+1)-dimensional nonlinear transmission line equation, by solving it analytically using a novel developed techniques: The improved Sardar-subequation. As a result, we discover several novel voltage characteristics such as bright, trigonometric, exponential and dark function solutions. Using certain appropriate values, we provide several different surfaces of the solutions produced in this work. These findings will be essential in the telecommunications system used to represent wave propagations.

Practical aspects of the electronic system functioning in the field of medicine of the future (Pakistan)

This article focused on “Practical aspects of the electronic system functioning in the field of medicine of the future in Pakistan” Aims: To explore the practical aspects of the electronic systems functioning in the field of medicine of the future, the challenges and opportunities of implementing these systems, and the potential solutions for optimising and enhancing their impact on outcomes in Pakistan. Methodology: A descriptive cross-sectional study design was used. A sample of 323 was selected through non-random convenient method. Data collected through interview. Chi square test was applied. Results: The results on telemedicine showed, out of 323 participants who practiced telemedicine, 52% had 19-24 months of medical practice experience. Among the doctors, 19.3% used laptops, 22.7% used mobile phones to search information online, while 41.1% connected with their patients through WhatsApp and 16.9% through Facebook. 80% of the doctors agreed that telemedicine was beneficial for saving money, time, effort, and for the patients. Among the group with experience above 24 months, 59% were practicing EHR systems and 41% were not utilising them. When it came to CDS Systems, 64.2% of the more experienced group were using the system, while 35.8% were not. In addition, 71.2% of the more experienced group were practicing Digital Medical Imaging. During the COVID-19 pandemic, all medical institutes taught, assigned tasks, and evaluated students through online mechanisms. However, after the pandemic, 100% of the institutes returned to traditional teaching methods. Interestingly, 60% of the participants favoured online education, considering it an easier, more effective and efficient way of learning. Scientific Novelty: Examines Pakistan's computerised healthcare system and its impacts. Conclusion: Improved infrastructure, healthcare education, patient computer literacy, privacy and data security rules may have the largest impact on healthcare outcomes. An international help is needed to reach global electronic health care standards. Note: Review paper may have different types of subsections.

HIBAF: A data security scheme for fog computing

Fog computing complemented cloud computing integration services in the Internet of Things (IoT) and the web of real-time interactivity. Fog offers faster computing and other services facilities sitting close to user applications. However, secure data transfer in the fog is still a challenging issue requiring attention and efficient deployment of a secure data security scheme. We present an Identity Based Encryption (IBE) scheme to secure data security and transmission in fog clouds and IoT ecosystems. We devise and develop a four-level Hierarchical Identity Based Architecture for Fog Computing (HIBAF) data security scheme to enhance data security. We also analyze the system’s performance regarding response time, CPU utilization, run-time encryption-decryption, and key generation time in the fog computing paradigm to an increasing number of users data-loads. Moreover, we evaluate our scheme and compare the outcomes with different cryptography structures to discern our scheme’s effectiveness. Furthermore, we also evaluate secret key updating time, re-encrypted key updating time, and file revoking time by launching DDoS attacks both in the cloud and fog computing environment to compare improvements of HIBAF in the fog computing paradigm. Finally, through this overall evaluation, we have found that the developed HIBAF scheme provides a 33% performance enhancement in a fog environment in terms of data processing, provision, and management compared to the cloud environment.

Research and Implementation of Computer Data Security Management System in the New Era

With the popularity of the Internet, computer technology has been applied to various industries, which also requires us to deal with and manage the daily work of the computer. Therefore, data security has become an important issue, which will directly ensure the safe operation of computer Internet. Therefore, we must continue to strengthen the research of computer data security management system (hereinafter referred to as DSMS), which will better improve the security of computer data. Through the gradual improvement of reliability, data security technology has gradually met people’s basic needs. However, for some special information, we must strengthen the data security management, which will prevent hackers and virus attacks. Through the DSMS, we can effectively prevent the leakage of sensitive data. Therefore, we must realize the effective management of computer data security, which needs to improve the corresponding system. By improving the computer operation ability, we can ensure the safe and reliable operation of the computer, which will bring users a safe and convenient service experience. In the new era, this paper mainly analyzes the key technology of DSMS. Then, this paper puts forward the implementation method.

Application of Computer Network Communication Technology in Production and Life

China’s rapid economic development, while the level of science and technology has also made great progress, communication engineering is the national infrastructure, in the process of development, we should pay more attention to network security. In the application of computer network communication security technology, the application of data encryption technology is to ensure people’s privacy and security. Today, with the rapid development of Internet technology, computers have been integrated into our life. No matter in study or work, computers are always with us. At present, there are still great risks in the process of using the computer, so data encryption is essential to ensure the security of information and users when the computer is running. The security of computer data and information has gradually become a very important part of computer network management. this paper makes a preliminary analysis and discussion on the problems of computer network management and information security prevention.