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Articles 1 - 5 of 5
Full-Text Articles in Cybersecurity
Post-Quantum Cryptography Encryption Implementation For Messaging App, Callum S. Ward
Post-Quantum Cryptography Encryption Implementation For Messaging App, Callum S. Ward
Theses/Capstones/Creative Projects
This paper and complementary capstone project aim to explore the state of post-quantum cryptography today by defining the algorithms with which quantum computers can decipher modern asymmetric cryptographic algorithms in exponentially accelerated time, exploring national standards body NIST’s recommendations to circumvent these weaknesses with post-quantum solutions, and implementing recommended algorithms in my group’s project for the UNO Computer Science Capstone course, LockTalk. After having decided on ML-KEM for quantum-resistant asymmetric key transfer and AES-256 for symmetric message encryption and decryption, I was able to cryptographically encode messages to obscure their plaintext values from communication interceptions without any discernible increase in …
Blockchain Message Integrity For Messaging App: Python-Based Implementation Of Blockchain-Backed Verification And Tamper Detection, Brendan J. Farrell
Blockchain Message Integrity For Messaging App: Python-Based Implementation Of Blockchain-Backed Verification And Tamper Detection, Brendan J. Farrell
Theses/Capstones/Creative Projects
With the rapid development and use of digital communication, the need for maintaining the integrity and authenticity of transmitted information becomes more pressing than ever. However, existing methods of data exchange have several flaws and drawbacks such as reliance on centralized networks which are subject to manipulation, modifications, and potential failures. Thus, the current project offers an innovative approach to improving the integrity and detection capabilities of messages in real-time communication platforms using the power of blockchain technology. The proposed solution uses the inherent features of blockchain-based systems to ensure secure and safe message transmission.
Message Malware: File Vulnerability Scanning In Messaging Apps, Miah Mason
Message Malware: File Vulnerability Scanning In Messaging Apps, Miah Mason
Theses/Capstones/Creative Projects
As messaging platforms become primary communication hubs within highly secure environments, they introduce significant vulnerabilities regarding file sharing with potential malicious content. This research, an honors extension of the Northrop Grumman sponsored Capstone project ‘LockTalk’, evaluates the technical abilities of automated file scanning methods within messaging platforms like Slack, Microsoft Teams, or our own developed platform LockTalk. This paper investigates a variety of scanning methods and their applications, with particular emphasis on comparing the qualities of static scanning, used in signature-based detection, and dynamic scanning with heuristics. Furthermore, this paper investigates the differences and advantages of both End-to-End Encryption (E2EE), …
Using Ai For Data Loss Prevention, Camden A. Wright
Using Ai For Data Loss Prevention, Camden A. Wright
Theses/Capstones/Creative Projects
Data Loss Prevention (DLP) systems play a critical role in protecting modern systems that handle sensitive information from both accidental and malicious exposure. Traditional DLP approaches often rely on static rules and methods that can struggle to adapt to complex and evolving data patterns. This paper presents a hybrid DPL system that integrates machine learning-based message classification, rule based policy enforcement, and context-aware access control to improve both detection accuracy and decision reliability. In addition, the system introduces a second stage access control model that evaluates user context, including role of clearance level and job title to determine whether access …
Capturing The Digital Scene: Applying Routine Activity Theory To Iot Smart Frames, Jordan Bakar
Capturing The Digital Scene: Applying Routine Activity Theory To Iot Smart Frames, Jordan Bakar
Theses/Capstones/Creative Projects
This project investigates the forensic risks and investigative challenges posed by smart frames, which are WiFi-enabled Internet of Things (IoT) devices used to store, display, and share digital media. These devices often collect and synchronize sensitive media, metadata, and behavioral logs across cloud ecosystems that lack adequate transparency and privacy safeguards. Routine Activity Theory (RAT) provides a criminological framework for examining how the convergence of a motivated offender, a suitable target, and the absence of capable guardianship creates opportunities for misuse and forensic exploitation. Smart frames represent ideal targets because of weak default security configurations, passive data synchronization, and limited …