Customer Cybersecurity And Supplier Cost Management Strategy,
2023
Singapore Management University
Customer Cybersecurity And Supplier Cost Management Strategy, Xu Yang, Peng Liang, Nan Hu, Fujing Xue
Research Collection School Of Computing and Information Systems
In this paper, we explore the spillover effect of customer firms’ data breaches on their upstream supplier firms’ cost management strategies, proxied by cost stickiness. Our primary analyses suggest that data breaches suffered by customer firms are associated with a decrease in cost stickiness among supplier firms. Furthermore, the reductions in supplier cost stickiness are stronger if suppliers are managed by CEOs from national cultural groups with high uncertainty avoidance, low long-term orientations, and/or low individualism. In sum, the findings contribute to both Information Systems (IS) and Operations Management (OM) disciplines in terms of data breach, cost management strategy, and …
Interoperability In Blockchain: A Survey,
2023
National University of Singapore
Interoperability In Blockchain: A Survey, Kunpeng Ren, Nhut-Minh Ho, Dumitrel Loghin, Thanh-Toan Nguyen, Beng Chin Ooi, Quang-Trung Ta, Feida Zhu
Research Collection School Of Computing and Information Systems
This paper presents a systematic and comprehensive survey on blockchain interoperability, where interoperability is defined as the ability of blockchains to flexibly transfer assets, share data, and invoke smart contracts across a mix of public, private, and consortium blockchains without any changes to the underlying blockchain systems. Analyzing the vast landscape of both research papers and industry projects, we classify the existing works into five categories, namely, (1) sidechains, (2) notary schemes, (3) hashed time lock contracts (HTLC), (4) relays, and (5) blockchain agnostic protocols. We analyze the existing works under a taxonomy that consists of system and safety characteristics, …
Learning Program Semantics For Vulnerability Detection Via Vulnerability-Specific Inter-Procedural Slicing,
2023
Singapore Management University
Learning Program Semantics For Vulnerability Detection Via Vulnerability-Specific Inter-Procedural Slicing, Bozhi Wu, Shangqing Liu, Xiao Yang, Zhiming Li, Jun Sun, Shang-Wei Lin
Research Collection School Of Computing and Information Systems
Learning-based approaches that learn code representations for software vulnerability detection have been proven to produce inspiring results. However, they still fail to capture complete and precise vulnerability semantics for code representations. To address the limitations, in this work, we propose a learning-based approach namely SnapVuln, which first utilizes multiple vulnerability-specific inter-procedural slicing algorithms to capture vulnerability semantics of various types and then employs a Gated Graph Neural Network (GGNN) with an attention mechanism to learn vulnerability semantics. We compare SnapVuln with state-of-the-art learning-based approaches on two public datasets, and confirm that SnapVuln outperforms them. We further perform an ablation study …
Security Compliance And Work-Issued Mobile Devices: Out Of Sight, Out Of Mind?,
2023
Missouri University of Science and Technology
Security Compliance And Work-Issued Mobile Devices: Out Of Sight, Out Of Mind?, Kent Marett, Shan Xiao, Sumin Kim
Business and Information Technology Faculty Research & Creative Works
For security, economic, and efficiency reasons, many businesses supply mobile devices to employees to use both in the workplace and remotely, accompanied by policies governing their appropriate use. Extant research has shown that work-issued mobile devices can disrupt employees' perceptions of work-life balance (WLB) and, indeed, WLB can impact employees' job satisfaction and performance. The global COVID-19 pandemic meant that more employees than usual performed their work remotely, but this situation may have not fit the preferred WLB for some. Did this encroachment mean that appropriate use policies were forgotten? We conducted two rounds of surveys, one pre-pandemic and the …
Security Analysis Of Holystone Drones: Examining Attack Vectors And Data Extraction Techniques,
2023
Florida Institute of Technology
Security Analysis Of Holystone Drones: Examining Attack Vectors And Data Extraction Techniques, Sandesh Ambadas More
Theses and Dissertations
In recent years, the surge in popularity of small-scale Unmanned Aerial Vehicles (UAVs), especially Holy Stone models, has raised significant security concerns. This study examines specific Holy Stone drone models, including the HS 175D, HS 430, HS 360S, and HS720, focusing on sub-250g drones exempt from FAA registration and those requiring registration and Remote ID. Despite advancements in drone technology, our research reveals persistent vulnerabilities that could be exploited by malicious actors for illicit purposes, posing a substantial security risk. Our comprehensive analysis involved simulated attacks in identifying and exploiting these vulnerabilities, leading to the successful acquisition of flight logs, …
Enhanced Content-Based Fake News Detection Methods With Context-Labeled News Sources,
2023
East Tennessee State University
Enhanced Content-Based Fake News Detection Methods With Context-Labeled News Sources, Duncan Arnfield
Electronic Theses and Dissertations
This work examined the relative effectiveness of multilayer perceptron, random forest, and multinomial naïve Bayes classifiers, trained using bag of words and term frequency-inverse dense frequency transformations of documents in the Fake News Corpus and Fake and Real News Dataset. The goal of this work was to help meet the formidable challenges posed by proliferation of fake news to society, including the erosion of public trust, disruption of social harmony, and endangerment of lives. This training included the use of context-categorized fake news in an effort to enhance the tools’ effectiveness. It was found that term frequency-inverse dense frequency provided …
Mitigating Membership Inference Attacks Via Weighted Smoothing,
2023
Singapore Management University
Mitigating Membership Inference Attacks Via Weighted Smoothing, Minghan Tan, Xiaofei Xie, Jun Sun, Tianhao Wang
Research Collection School Of Computing and Information Systems
Recent advancements in deep learning have spotlighted a crucial privacy vulnerability to membership inference attack (MIA), where adversaries can determine if specific data was present in a training set, thus potentially revealing sensitive information. In this paper, we introduce a technique, weighted smoothing (WS), to mitigate MIA risks. Our approach is anchored on the observation that training samples differ in their vulnerability to MIA, primarily based on their distance to clusters of similar samples. The intuition is clusters will make model predictions more confident and increase MIA risks. Thus WS strategically introduces noise to training samples, depending on whether they …
Comparison And Evaluation On Static Application Security Testing (Sast) Tools For Java,
2023
Singapore Management University
Comparison And Evaluation On Static Application Security Testing (Sast) Tools For Java, Kaixuan Li, Sen Chen, Lingling Fan, Ruitao Feng, Han Liu, Chengwei Liu, Yang Liu, Yixiang Chen
Research Collection School Of Computing and Information Systems
Static application security testing (SAST) takes a significant role in the software development life cycle (SDLC). However, it is challenging to comprehensively evaluate the effectiveness of SAST tools to determine which is the better one for detecting vulnerabilities. In this paper, based on well-defined criteria, we first selected seven free or open-source SAST tools from 161 existing tools for further evaluation. Owing to the synthetic and newly-constructed real-world benchmarks, we evaluated and compared these SAST tools from different and comprehensive perspectives such as effectiveness, consistency, and performance. While SAST tools perform well on synthetic benchmarks, our results indicate that only …
New Paths Of Attacks: Revealing The Adaptive Integration Of Artificial Intelligence In Evolving Cyber Threats Targeting Social Media Users And Their Data,
2023
Old Dominion University
New Paths Of Attacks: Revealing The Adaptive Integration Of Artificial Intelligence In Evolving Cyber Threats Targeting Social Media Users And Their Data, Larry Teasley
Cybersecurity Undergraduate Research Showcase
The intersection between artificial intelligence tools and social media has opened doors to numerous opportunities and risks. This research delves into the escalating threat landscape in a society heavily dependent on social media. Despite the efforts by social media companies and cybersecurity professionals to mitigate cyber-attacks, the constant advancements of new technologies render social media platforms increasingly vulnerable. Malicious actors exploit generative AI to collect user data, enhancing cyber threats on social media. Notably, generative AI amplifies phishing attacks, disseminates false information, and propagates propaganda, posing substantial challenges to platform security. Ease access to large language models (LLMs) further complicates …
A Review Of Threat Vectors To Dna Sequencing Pipelines,
2023
Old Dominion University
A Review Of Threat Vectors To Dna Sequencing Pipelines, Tyler Rector
Cybersecurity Undergraduate Research Showcase
Bioinformatics is a steadily growing field that focuses on the intersection of biology with computer science. Tools and techniques developed within this field are quickly becoming fixtures in genomics, forensics, epidemiology, and bioengineering. The development and analysis of DNA sequencing and synthesis have enabled this significant rise in demand for bioinformatic tools. Notwithstanding, these bioinformatic tools have developed in a research context free of significant cybersecurity threats. With the significant growth of the field and the commercialization of genetic information, this is no longer the case. This paper examines the bioinformatic landscape through reviewing the biological and cybersecurity threats within …
Assessing Open Source Tools For Enhanced Forensic Analysis Of Unmanned Aerial Vehicles (Uavs),
2023
United Arab Emirates University
Assessing Open Source Tools For Enhanced Forensic Analysis Of Unmanned Aerial Vehicles (Uavs), Nura Shifa Hamed
Theses
The widespread applications of Unmanned Aerial Vehicles (UAVs), commonly referred to as drones, has given rise to significant national security threats due to their illicit activities. Consequently, the domain of UAV forensics is rapidly evolving, presenting a substantial knowledge deficit among forensic experts. Open source tools provide accessible and affordable resources, making it easier for investigators to bridge this gap by gaining expertise in the use of these tools. This helps ensure that forensic professionals can keep up with the ever-changing UAV technology landscape. This thesis undertakes the mission of navigate the complex field of drone forensics and conducting a …
The Propagation And Execution Of Malware In Images,
2023
Christopher Newport University
The Propagation And Execution Of Malware In Images, Piper Hall
Cybersecurity Undergraduate Research Showcase
Malware has become increasingly prolific and severe in its consequences as information systems mature and users become more reliant on computing in their daily lives. As cybercrime becomes more complex in its strategies, an often-overlooked manner of propagation is through images. In recent years, several high-profile vulnerabilities in image libraries have opened the door for threat actors to steal money and information from unsuspecting users. This paper will explore the mechanisms by which these exploits function and how they can be avoided.
An Empirical Study On The Use Of Predictive Analytics For Improving Trade Forecasting In The Uae,
2023
United Arab Emirates University
An Empirical Study On The Use Of Predictive Analytics For Improving Trade Forecasting In The Uae, Asma Salem Alneyadi
Thesis/ Dissertation Defenses
Trade contributes to the United Arab Emirates' economic growth. This thesis focuses on trade dynamics in the UAE using Long Short-Term Memory (LSTM) neural networks. The study focuses on both import and export activities, providing understandings into the complex patterns and impacts of international trade on the UAE's economic growth. The research begins by constructing an LSTM model to forecast the UAE's Gross Domestic Product (GDP) through the utilization of historical trade data. We use time series data for imports and exports as key input features. This innovative approach highlights the relevance of trade statistics as a leading indicator of …
Assessing Open Source Tools For Enhanced Forensic Analysis Of Unmanned Aerial Vehicles (Uavs),
2023
United Arab Emirates University
Assessing Open Source Tools For Enhanced Forensic Analysis Of Unmanned Aerial Vehicles (Uavs), Nura Shifa Hamed
Thesis/ Dissertation Defenses
The widespread applications of Unmanned Aerial Vehicles (UAVs), commonly referred to as drones, has given rise to significant national security threats due to their illicit activities. Consequently, the domain of UAV forensics is rapidly evolving, presenting a substantial knowledge deficit among forensic experts. Open-source tools provide accessible and affordable resources, making it easier for investigators to bridge this gap by gaining expertise in the use of these tools. This helps ensure that forensic professionals can keep up with the ever-changing UAV technology landscape. This thesis undertakes the mission of navigate the complex field of drone forensics and conducting a comprehensive …
Preparing Uk Students For The Workplace: The Acceptability Of A Gamified Cybersecurity Training,
2023
University of Surrey
Preparing Uk Students For The Workplace: The Acceptability Of A Gamified Cybersecurity Training, Oliver J. Mason, Siobhan Collman, Stella Kazamia, Ioana Boureanu
Journal of Cybersecurity Education, Research and Practice
This pilot study aims to assess the acceptability of Open University’s training platform called Gamified Intelligent Cyber Aptitude and Skills Training course (GICAST), as a means of improving cybersecurity knowledge, attitudes, and behaviours in undergraduate students using both quantitative and qualitative methods. A mixed-methods, pre-post experimental design was employed. 43 self-selected participants were recruited via an online register and posters at the university (excluding IT related courses). Participants completed the Human Aspects of Information Security Questionnaire (HAIS-Q) and Fear of Missing Out (FoMO) Scale. They then completed all games and quizzes in the GICAST course before repeating the HAIS-Q and …
Closing The Gap: Leveraging Aes-Ni To Balance Adversarial Advantage And Honest User Performance In Argon2i,
2023
Purdue University
Closing The Gap: Leveraging Aes-Ni To Balance Adversarial Advantage And Honest User Performance In Argon2i, Nicholas Harrell, Nathaniel Krakauer
CERIAS Technical Reports
The challenge of providing data privacy and integrity while maintaining efficient performance for honest users is a persistent concern in cryptography. Attackers exploit advances in parallel hardware and custom circuit hardware to gain an advantage over regular users. One such method is the use of Application-Specific Integrated Circuits (ASICs) to optimize key derivation function (KDF) algorithms, giving adversaries a significant advantage in password guessing and recovery attacks. Other examples include using graphical processing units (GPUs) and field programmable gate arrays (FPGAs). We propose a focused approach to close the gap between adversarial advantage and honest user performance by leveraging the …
Optimization Of Biomedical Imaging Filters For Use In Recaptured Identity Document Classification,
2023
Technological University Dublin
Optimization Of Biomedical Imaging Filters For Use In Recaptured Identity Document Classification, John Magee, Stephen Sheridan Phd, Christina Thorpe Phd
Conference papers
As banks and online financial institutions move toward full remote onboarding services, the attack vectors for bad actors increases to include those of recaptured identity documents. This type of fraud opens banking customers to potential crimes of identity theft, as well as causing reputational damage to the institutions involved. In this paper we extend existing research focusing on the use of biomedical imaging filters and their usefulness when classifying recaptured identity documents. We perform a grid search and demonstrate that different filter configurations exist that dramatically reduce the classification error rates compared to those achieved using only the default filter …
Integrity, Confidentiality, And Equity: Using Inquiry-Based Labs To Help Students Understand Ai And Cybersecurity,
2023
Texas Christian University
Integrity, Confidentiality, And Equity: Using Inquiry-Based Labs To Help Students Understand Ai And Cybersecurity, Richard C. Alexander, Liran Ma, Ze-Li Dou, Zhipeng Cai, Yan Huang
Journal of Cybersecurity Education, Research and Practice
Recent advances in Artificial Intelligence (AI) have brought society closer to the long-held dream of creating machines to help with both common and complex tasks and functions. From recommending movies to detecting disease in its earliest stages, AI has become an aspect of daily life many people accept without scrutiny. Despite its functionality and promise, AI has inherent security risks that users should understand and programmers must be trained to address. The ICE (integrity, confidentiality, and equity) cybersecurity labs developed by a team of cybersecurity researchers addresses these vulnerabilities to AI models through a series of hands-on, inquiry-based labs. Through …
A Novel Chatbot System For Digitizing Service Management To Improve Business Continuity,
2023
United Arab Emirates University
A Novel Chatbot System For Digitizing Service Management To Improve Business Continuity, Asraa Mohammed Albeshr
Thesis/ Dissertation Defenses
The COVID-19 pandemic underscored the importance of businesses transitioning to digital platforms to reduce human contact and maintain operations. Digital transformation is the act of leveraging digital technologies to enhance and update business operations, corporate culture, and customer interactions to address evolving market needs. IT service management (ITSM) stands to gain significantly from this shift, as many of its processes are currently manual and labor-intensive. In our research, we introduced a model designed to refine chatbot responses to user questions, making it an invaluable asset for our study. The model performed admirably, achieving an accuracy rate of 90%. Moreover, we …
Understanding The Non-Traditional Security Dimensions: Cyber Threat Landscape In Pakistan,
2023
Research Scholar, University of Peshawar
Understanding The Non-Traditional Security Dimensions: Cyber Threat Landscape In Pakistan, Minhas Majeed Khan
CBER Conference
The research analyzes the vulnerabilities and consequences of cyber-attacks on essential infrastructure sectors such as energy, telecommunications, and finance, which are vital for the country’s stability and development. It also evaluates the economic, political, and social effects of cyber incidents on the country’s governance and society. Moreover, the research assesses the current cyber security measures and frameworks in Pakistan and identifies the gaps and opportunities for improvement.
