Showing posts with label confidentiality. Show all posts
Showing posts with label confidentiality. Show all posts

Saturday, 29 November 2025

Neurosecurity and Brain-Computer Interfaces | Chapter 2 | New Horizons of Science, Technology and Culture Vol. 6

 

The paper has thoroughly discussed the threats that affect brain-computer interfaces (BCIs). Some of the threats include denial-of-service attacks, neural spoofing, and eavesdropping. The paper used a systematic review to identify scholarly articles that discuss the BCI treatment, defence mechanisms, and implications. The research has used the CIA (Confidentiality, Integrity, and Availability) triad framework to classify BCI threats. Firms that utilise BCI components can enhance their network security by integrating biometric systems and data encryption techniques. They should also integrate machine learning models that will regularly analyse BCI networks to identify and mitigate threats. Medical personnel should ensure that patients have given them informed consent before implanting BCI components into their brains; this protects a patient’s cognitive liberty. This strategy reduces the lawsuits that medical personnel and hospitals face when using BCI tools to treat patients.

 

 

Author(s) Details

Alex Mathew
Department of Cybersecurity, Bethany College, USA.

 

Frank Valentin
Department of Cybersecurity, Bethany College, USA.

 

Hannah Alex
University of Pittsburgh, Pennsylvania, USA.

 

Please see the book here :- https://doi.org/10.9734/bpi/nhstc/v6/6528

Friday, 22 August 2025

Introducing a Technique for Searching Data in a Cryptographically Protected SQL Database | Chapter 1 | Mathematics and Computer Science: Contemporary Developments Vol. 1

 

In recent eras, storing and processing data on third-party remote cloud servers has been widely used, showing explosive growth. The growing popularity of data outsourcing to third-party cloud servers has a downside, related to the serious concerns of data owners about their security due to possible leakage. The desire to reduce the risk of loss of data confidentiality has become a motivating start to developing mechanisms that provide the ability to effectively use encryption to protect data. However, the use of traditional encryption methods faces a problem. Namely, traditional encryption, by making it impossible for insiders and outsiders to access data without knowing the keys, excludes the possibility of searching. This paper presents a solution that provides a strong level of confidentiality when searching, inserting, modifying, and deleting the required sensitive data in a remote database whose data are encrypted.

 

 The proposed SQL query processing technique allows the DBMS server to perform search functions over encrypted data in the same way as in an unencrypted database. This study also offers a basis for implementing the solution on the server side of the Oracle DBMS using unmodified DBMS software using our own developed persistent stored modules (PSM). This is achieved through the organization of automatic decryption by specially developed secure software of the corresponding data required for search, without the possibility of viewing these data itself. We tested our prototype on a single machine that simulates both a proxy and a database server. At that, we guarantee the integrity of the stored procedures used and special tables that store encrypted modules of special software and decryption keys, the relevance and completeness of the results returned to the application. The results of the analysis of the feasibility and effectiveness of the proposed solution show that the proper privacy of the stored data can be achieved at a reasonable overhead. Future studies may focus on the conduct of an in-depth performance evaluation of this proposed solution, including a comparison with existing implementations, to show its practicality in various real-life situations.

 

Author(s) Details

Vitalii Yesin
Department of Security of Information Systems and Technologies, Faculty of Computer Science, V. Karazin National University of Kharkiv, 61022 Kharkiv, Ukraine and Department of Information Technology Security, Institute of Computer Technologies, Automation and Metrology, Lviv Polytechnic National University, 79000 Lviv, Ukraine.

Mikolaj Karpinski
Institute of Security and Computer Science, University of the National Education Commission 2 Podchorazych St., Krakow, 30-084, Poland.

Maryna Yesina
Department of Security of Information Systems and Technologies, Faculty of Computer Science, V. Karazin National University of Kharkiv, 61022 Kharkiv, Ukraine and Department of Information Technology Security, Institute of Computer Technologies, Automation and Metrology, Lviv Polytechnic National University, 79000 Lviv, Ukraine.

Vladyslav Vilihura

Department of Security of Information Systems and Technologies, Faculty of Computer Science, V. Karazin National University of Kharkiv, 61022 Kharkiv, Ukraine.

Ruslan Kozak
Department of Cyber Security, Faculty of Computer Information Systems and Software Engineering, Ternopil Ivan Puluj National Technical University, 46001 Ternopil, Ukraine.

Ruslan Shevchuk
Department of Computer Science and Automatics, Faculty of Mechanical Engineering and Computer Science, University of Bielsko-Biala, 43-309 Bielsko-Biala, Poland and Department of Computer Science, Faculty of Computer Information Technologies, West Ukrainian National University, 46009 Ternopil, Ukraine.

 

Please see the book here:- https://doi.org/10.9734/bpi/mcscd/v1/8460E

Wednesday, 3 April 2024

Evaluating the Probability of Accuse in Deliberate Data Breaches | Chapter 2 | Research Updates in Mathematics and Computer Science Vol. 2

 For many businesses, the quantity of sensitive information handled by external service providers is on the rise. With an expanding array of entities granted access to databases, the task of preventing and tracking data leaks becomes increasingly challenging. We address the problems associated with verifying ownership and unlawful distribution (leaking) of information in relational databases. Our suggested method provides a thorough strategy for identifying, discouraging, and tracking down data breaches in relational databases. Our primary descriptive use case is business process outsourcing scenarios, but our techniques can also be applied to other scenarios involving shared relational databases that need to maintain confidentiality and authenticity. Initially, fingerprinting and watermarking were employed to determine who owns what and keep track of illegally distributed numerical relational data. In our current work, we introduce "realistic but counterfeit" objects into our database, a technique akin to watermarking.


Author(s) Details:

Gitanjali Bhimrao Yadav,
Vishwakarma Institute of Information Technology, Pune, India.

Varsha D. Jadhav,
Vishwakarma Institute of Information Technology, Pune, India.

Please see the link here: https://stm.bookpi.org/RUMCS-V2/article/view/13941