Data Security System Research Articles

Privacy Protection Guarantee For Data Hacking Victims According To Indonesian Law

Personal data leaks have become one of the major issues in cybercrime. The government has attempted to overcome this issue by implementing Law on Personal Data Protection (UU PDP) and establishing law enforcement agencies for Personal Data Protection. Despite the existence of laws that regulate and agencies responsible for this issue, personal data leaks still occur frequently. One of the cases was the leak of customer data from Bank Syariah Indonesia (BSI). This study analyzes the assurance of privacy rights concerning data managed by Big Data Controllers under the Personal Data Protection Law and identifies legal actions that victims of data hacking due to the data controller’s negligence regarding the Big Data security systems. This research uses normative juridical methods with a descriptive-analytical approach. The results of the research show that Indonesia has regulations to protect the privacy rights of its citizens, specifically in the Personal Data Protection Law which regulates actions and restoration of the right to privacy if data leaks occur by the limitations of this article.

Adopting Automated Penetration Testing Tools

Modern society is heavily reliant upon the internet. Accordingly, it is vital to ensure that the data transmitted over the internet is safe. Several tools have been created for cybersecurity experts and organizations to test the security levels of organizational networks and websites. However, due to financial constraints, small organizations need to pay closer attention to managing data with limited resources. This study explores the role of automated penetration testing tools in providing small organizations with an effective and affordable data security system. This study employs a case-study approach using multiple data-gathering methods in a charitable organization. More specifically, data was collected using interviews and experiments evaluating penetration testing tools. The results revealed that cost-effective automated penetration testing tools could safeguard small organizations from cybersecurity threats. The penetration testing tools determined that the organization’s website had various vulnerabilities. The Nessus tool discovered no fewer than 37 vulnerabilities on the website application. The ZAP testing tool showed that the website application was critically failing, leading to the accumulation of vulnerabilities. The system had 3 medium-, 12 low-, and 4-informational-risk vulnerabilities. Through the evaluation of open ports, the NMAP tool identified various vulnerabilities. These findings have important implications for small organizations. First, automated penetration testing tools can be easily conducted by small organizations to safeguard their cybersecurity without obtaining costly expert help. Second, it is recommended in the light of the findings that automated penetration testing tools be used in multiple combinations as different tools have unique contributions to cybersecurity.

Design and application of data security privacy protection technology in dance action sequence arrangement and display system

In view of the excessive consumption of difficult resources in traditional dance choreography, insufficient data in choreography and data leakage crisis in the system, this paper puts forward artificial intelligence technology to study the protection of dance choreography and system data security and privacy. In this paper, the directed graph neural network is used to intelligently arrange the dance movements, and the Hidden Markov Model (HMM) is used to process the dance scene data so that the output data is highly similar to the original data. In the protection of data security and privacy, the method of data encryption is used, and the encrypted data needs to be decrypted by algorithm for reading. The experimental results show that the more complete the dance movement display, the higher the dance recognition rate, and the recognition rate of the dynamic light projection algorithm is greater than 90 % regardless of several sets of dance movements, while the recognition rate of the traditional light projection algorithm is not up to the standard regardless of several sets of movements, and the recognition rate of the point cloud segmentation method is higher than 90 % only in 3–4 sets of dance and 5–6 sets of dance movements.

Efficient and Secure Communication in VANETS Using Block Chain

We have made great progress in resolving the crucial problem of location privacy in Vehicular Impromptus Networks (VANETs), an essential component of Intelligent Traffic Systems (ITS), using our innovative block chain-based trust management methodology. VANETs' high inherent mobility has long presented security issues, especially when it comes to using Location-Based Services (LBS). Our creative solution gives cars the ability to request LBS while protecting their personal data with a secure verification process. Vehicle privacy is protected via the creation of anonymous shrouding zones, and vehicle behaviour is controlled and governed by an advanced trust management algorithm. By using block chain technology, the system's data security is strengthened even more, resulting in a strong, impenetrable architecture. Thorough testing has proven the system's resilience against a range of assaults based on trust models, proving its efficacy in protecting vehicle privacy. The outcomes of our simulation demonstrate the practicality of our suggested method in actual VANET circumstances, pointing to the possibility of a new era in safe and private ITC systems.

Role of Artificial Intelligence in Developing Hospital Information Management Systems

Hospital information management systems (HIMS) play significant roles in improving clients' health by applying developed technologies, one of which is artificial intelligence (AI). This study aims to explore the roles of AI in order to support the development of HIMS. We conducted a literature review by extracting the articles from PubMed, ProQuest, and Google Scholar in the past 5 years (January 2019-August 2023) using specific keywords. The full text of relevant articles then thematically synthesized and to be presented. Our findings revealed eight themes that represent the role of AI in supporting the hospital information management system and its implementation in healthcare settings. The themes identified include Diagnosis and Medical Imaging, Health Data Management, Risks Prediction and Disease Progression, Inventory and Procurement Management, Telemedicine and Remote Consultation, Patient Care Management, Drug Development and Clinical Research, and Hospital Data Security System. The AI implementation brings the potential to improve efficiency, accuracy, and quality of care in hospitals. However, it should be noted that the development and implementation of AI need to consider the ethical aspects and proper integration through existing health systems.

Using a Chaotic Digital System to Generate Random Numbers for Secure Communication on 5G Networks

There are several encryption system applications in 5G networks where rapid response is needed, particularly in the military, health sector, traffic, and vehicular movement. This article presents a proposed data security system for 5G networks that fortifies the security of the network through the use of synchronized chaotic systems to produce pseudo-random numbers. The technique by which random numbers are generated during the encryption procedures is closely associated with 5G network security. Many synchronized chaotic systems are used to produce chaotic random models which are used as encryption bases for a wide variety of data. In this study, the encryption was carried out using a variety of data, including two and three-dimensional color images and audio signals of varying lengths, in addition to the use of Fast Fourier Transform (FFT) for encryption of the ingredient energy wave. The results revealed that the algorithm deployed in the process of encryption performed well. Simulations were performed in MATLAB.

Enabling pandemic‐resilient healthcare: Narrowband Internet of Things and edge intelligence for real‐time monitoring

AbstractThe Internet of Things (IoT) in deploying robotic sprayers for pandemic‐associated disinfection and monitoring has garnered significant attention in recent research. The authors introduce a novel architectural framework designed to interconnect smart monitoring robotic devices within healthcare facilities using narrowband Internet of Things (NB‐IoT) technology. The core objective is establishing a seamless data transmission pipeline that bridges these devices with the nearest base station. The associated data is routed directly from the edge computing infrastructure to the Cloud storage. The proposed architecture increases data security and optimises system performance by avoiding dependencies on central data centres. The critical components of this system allow the edge node to transmit data to the cloud, where primary data processing and analysis occur. The selection of NB‐IoT as the underlying protocol facilitates real‐time data collection and monitoring in healthcare with boosted capacity and coverage, extended battery life, and cost efficiency.

Design and Implementation of an Online Blood Donation System

Blood donation is a critical component of healthcare, saving countless lives each year. However, many regions, including Ghana, face chronic shortages of blood supply, often resulting in life-threatening delays for patients in need. Traditional blood donation methods are plagued with inefficiencies, causing delays in matching donors with recipients, and hindered by cumbersome paperwork that discourages potential donors. To address these challenges, this paper introduces an Online Blood Donation System, which offers an accessible, efficient, and secure platform for connecting blood donors with those in need. The project encompasses a comprehensive study, employing the Agile methodology, HTML, CSS, JavaScript, PHP, and MySQL, to design and develop the system. The system's objectives encompass facilitating blood donation, enhancing efficiency, increasing donor participation, ensuring data security, promoting awareness, and overall healthcare system improvement. This project aims to contribute to the healthcare sector by providing an innovative solution to blood donation challenges, ultimately saving lives and improving healthcare efficiency.

Application of blockchain technology in decentralized medical data security and privacy systems

Application of blockchain technology in decentralized medical data security and privacy systems

Security of Employee Salary Data Using the ElGamal Algorithm By Utilizing the Diffie-Hellman Algorithm Key Generator

Data security is something that is very important for companies or organizations, one of which is the South Binjai District Office. Almost all work in the South Binjai sub-district office uses a computer, especially in processing data stored in the form of data files on storage media without encoding. In today's digital era, many irresponsible parties find it easy to tap company data so that it can be easily accessed and there is also some software that can be easily used to crack passwords. One of the data that needs to be kept confidential is employee salary data. To overcome these problems, a security system is needed to secure text data. The cryptographic method is regarding encryption techniques in which plaintext is scrambled using an encryption key to become ciphertext which is applied in data security systems. The Diffie-Hellman algorithm is a key exchange algorithm, this algorithm is limited to the key exchange process, so it must require another algorithm for the encryption and decryption process such as the ElGamal algorithm. The use of these two algorithms can strengthen the level of data security. From the results of trials conducted, the sample data used containing the word "KARYAWAN" was successfully secured with both diffie-helman and ElGamal algorithms.

Data Security System for a Bank Based on Two Different Asymmetric Algorithms Cryptography

Protecting private financial data within the banking infrastructure has become crucial in the digital age. In order to provide a reliable and effective data security system for banks, this research investigates the combination of RSA along with ECC. To improve data transmission security, simplify key management, and guarantee trustworthy authentication, RSA, recognized for its historical relevance in digital authentication and the exchange of keys, and ECC, with its effectiveness and adaptability for constrained by resources systems, are integrated. By strengthening data integrity, data authentication, and confidentiality in financial institutions, this integrated approach strives to safeguard assets like client account information. This strategy solves the difficulties facing modern banking by fusing RSA's resilience and ECC's effectiveness, and it offers the knowledge required to adjust to changing security requirements. This amalgamated strategy is set to become a pillar of modern era’s banking security methods as more research is conducted.

Implementasi Wazuh Integritas File untuk Perlindungan Keamanan Berdasarkan Aktivitas Log di BTSI UKSW

Technological developments are now increasingly sophisticated, especially in data security. Data security and File Integrity have an essential role and are one of the main concerns in the corporate environment. Practical steps are needed for a data security system that detects data threats, especially File Integrity within the SWCU BTSI environment. The Wazuh system provides monitoring and detection of File change activity. This feature works because of Real-Real File change activity and log analysis. To maintain system security is to monitor File Integrity, namely ensuring that critical Files are not subject to unauthorized changes by unauthorized parties. Therefore, research was carried out and implementation of File Integrity Wazuh for security protection based on log activity at SWCU BTSI. The results showed that the implementation of the File Integrity Wazuh system can identify security incidents against suspicious activity on a File and is effectively able to provide notifications to administrators against unauthorized activity

Implementation Of The Rivest Cipher 4 Method Web-Based Employee Data

Data security has always been an exciting topic to discuss in the era of globalization and industrial revolution 5.0. Along with the development of Cryptographic techniques, which continue to develop. Security of data storage techniques is essential in a data security system. The method used in this research is the Rivest Chiper 4 Algorithm. This research takes a case study of employee data storage security in a company that uses local storage as a medium for storing employee data. A web-based employee data collection system with the Rivest Chiper 4 algorithm implemented on the server side. The research results show that in testing the Avalanche Effect Rivest Chiper 4 algorithm with three key character length variations, an average value of 50.87% was obtained. The test results show that the average Avalanche Effect value is more than 50%, indicating that small changes to the plaintext can impact the ciphertext. With the help of Cryptool 1, using Brute Force time testing results with variations in key length, the password cracking time was 33 years with a 6-character key length. The longer the key is used, the longer the completion process will take to crack the ciphertext. Meanwhile, plaintext length is linearly correlated with the length of Brute Force testing time but is insignificant. Hardware performance also affects the estimated time of Brute Force.

Development of A Multi-Level Data Security System for Internet of Things using Dimensionality Reduction Techniques and Machine Learning

Development of A Multi-Level Data Security System for Internet of Things using Dimensionality Reduction Techniques and Machine Learning

INTEREST OF STUDENT FEBI IAIN FATTAHUL MULUK PAPUA STUDENT INTEREST IN SAVING IN SHARIAH BANK

This study aims to examine and analyze the interest in saving in FEBI IAIN Fattahul Muluk Papuan students in Islamic banks. Islamic campus students tend to use services or services from Islamic banks, this is due to the level of Islamic financial literacy that has grown during their studies and is followed by adequate Islamic financial inclusion found in the campus environment. Papua province in 2022 Islamic financial literacy is 45.19% followed by Islamic financial inclusion of 76.36%. It is recorded that in 2022 students who have accounts at Islamic banks account for 90% of the total students as a whole however, there is a decrease every year, moreover there are problems with the customer data security system. This study used a quantitative method with an explanatory research approach and was analyzed using SmartPls version 3. The study population was all FEBI students by distributing questionnaires to 75 respondents who already had accounts at Islamic banks. The results of the study show that there are 2 important variables that can explain the factors of student interest in saving at Islamic banks, including Islamic financial literacy and Islamic financial literacy. These two variables have a positive and significant effect on students' interest in saving at Islamic banks. This study recommends that all parties, both government agencies and campuses, continue to educate the public about sharia financial products and shariah financial management, especially in the millennial generation, to further increase Islamic financial inclusion so that all parties are capable of accessing finance.

Electronic voting as an element of electronic democracy: the experience of EU countries

The rapid development of information technologies and digital transformation affects various spheres of social relations. Democratic processes in the country, particularly voting, are no exception in this direction. Note that voting and elections are the main components of modern societies, as elections impact citizens' lives and well-being. There is a widespread tendency to reduce participation due to the inconvenience of face-to-face voting. One of the methods of increasing the number of voters is the introduction of electronic voting. The author notes that electronic voting covers several types of electronic means in elections for direct voting and counting votes.
 The work also considers the peculiarities of the Internet or online voting. The positive aspects of electronic voting are analyzed, in particular, such as the automation and simplification of the election process, the increase in participation, and the depreciation of the time required to announce the results. At the same time, the author points out the risks that arise when using electronic voting: falsification of elections, violation of the secrecy of the election, technical failure, etc.
 The paper analyzes the peculiarities of the use of electronic voting machines in Germany and other EU countries. In particular, it indicated that Estonia has a positive experience implementing Internet voting. It had determined that such a vote is unique because it becomes available online only before Election Day during the early voting period, which usually lasts one week.
 It emphasized that Estonia remains the only country in the world that has been using a digital voting alternative since 2005, involving young people inside the country and Estonians living abroad in the electoral and political process. The author notes that such success is due to several factors: people's trust in the authorities, a developed data security system, and the availability of a technological foundation built long before the first attempt at e-voting.
 It had determined that other countries are trying to adopt Estonia's experience, offering an alternative voting method. The author notes that this is limited to installing special voting machines. The work summarizes that electronic voting involves implementing the latest information technologies for the election process. However, the introduction of electronic voting technology itself needs to be clarified.

Functional integration of handwritten digit recognition and encryption/decryption based on Pt/GaOx/TiN memristor array for a new data security system

In the age of big data, information security has become more and more essential for the Internet of Things. Since the software encryption algorithm can be easily hacked, the hardware security system has emerged as a reliable way to safeguard information. Here, a GaOx-based memristor array is experimentally demonstrated, which features a good multi-level storage capacity, 20 ns switching speed, and highly linear conductance modulation of over 500 states by multi pulses. An artificial neural network and an XOR circuit were further constructed based on this memristor array. This work connects memristor array-based handwritten digit recognition and data security circuit, forming a new data security management system for secure password input and transmission.

Issues of Practical Application of Cryptography to Ensure Data Security

In modern society, digital technologies have become embedded in everyday life, increasing the risk of data leakage. Cryptography is becoming a key means of ensuring the confidentiality, integrity and authenticity of information. However, the application of cryptography faces challenges such as threats to data security systems and the constant development of hacking techniques. Lack of user awareness of the importance of security, use of weak passwords, the advent of quantum computers and inattention to data protection increase vulnerability. To solve the problems, a comprehensive approach has been proposed, including education, improving security standards, developing quantum-resistant methods, improving authentication technologies and actively updating encryption methods. Modern encryption methods are reviewed, including symmetric and asymmetric algorithms and examples of their use in everyday life, covering areas from banking transactions to instant messengers and email.

Multilevel Reset Dependent Set of a Biodegradable Memristor with Physically Transient.

The electronic device, with its biocompatibility, biodegradability, and ease of fabrication process, shows great potential to embed into health monitoring and hardware data security systems. Herein, polyvinylpyrrolidone (PVP) biopolymer is presented as an active layer, electrochemically active magnesium (Mg) as a metal electrode, and chitosan-based substrate (CHS) to fabricate biocompatible and biodegradable physically transient neuromorphic device (W/Mg/PVP/Mg/CHS). The I-V curve of device is non-volatile bipolar in nature and shows a unique compliance-induced multilevel RESET-dependent-SET behavior while sweeping the compliance current from a few microamperes to milliamperes. Non-volatile and stable switching properties are demonstrated with a long endurance test (100 sweeps) and retention time of over 104 s. The physically transient memristor (PTM) has remarkably high dynamic RON /ROFF (ON/OFF state resistance) ratio (106 Ω), and when placed in deionized (DI) water, the device is observed to completely dissolve within 10min. The pulse transient measurements demonstrate the neuromorphic computation capabilities of the device in the form of excitatory post synaptic current (EPSC), potentiation, depression, and learning behavior, which resemble the biological function of neurons. The results demonstrate the potential of W/Mg/PVP/Mg/CHS device for use in future healthcare and physically transient electronics.

Data Security Issues and Countermeasure Suggestions for Financial Big data: A Literature Review

Financial Big Data is a contentious topic that needs to be addressed because it is having an increasingly negative impact on people's everyday lives, work habits, and thought patterns. The leakage of financial big data is just one of the issues that financial big data is now dealing with. As a result, the study focus of this work is on the data security problems and solutions related to financial big data. This paper summarizes four main categories of data security issues related to financial big data: attacks on financial big data, data leaks related to financial big data, issues with the reliability of financial big data, and issues with access control related to financial big data. Based on these four problem categories, it searches the literature and organizes the suggested solutions as follows: pay attention to the development of financial data security systems in a big data environment, strengthen education and training, increase the da-ta security awareness of various roles, optimize the processing of big data, and strengthen the storage security of big data by strict user access control. This paper's thought and research also reveal that while financial big data does provide data security issues, it also serves as the primary means of addressing the issue itself. Less research has been done on using financial big data as a countermeasure in and of itself. In the future, we should focus on financial big data itself and explore ways to use financial big data as a countermeasure to data security problems.