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Full-Text Articles in Business
Towards A Development Of A Social Engineering Exposure Index (Sexi) Using Publicly Available Personal Information, W. Shawn Wilkerson, Yair Levy, James Richard Kiper, Martha Snyder
Towards A Development Of A Social Engineering Exposure Index (Sexi) Using Publicly Available Personal Information, W. Shawn Wilkerson, Yair Levy, James Richard Kiper, Martha Snyder
KSU Proceedings on Cybersecurity Education, Research and Practice
Millions of people willingly expose their lives via Internet technologies every day, and even those who stay off the Internet find themselves exposed through data breaches. Trillions of private information records flow through the Internet. Marketers gather personal preferences to coerce shopping behavior, while providers gather personal information to provide enhanced services. Few users have considered where their information is going or who has access to it. Even fewer are aware of how decisions made in their own lives expose significant pieces of information, which can be used to harm the very organizations they are affiliated with by cyber attackers. …
A Comparison Of Personal Social Media Risk Perceptions Between Undergraduate Students And Human Resource Professionals, Julio C. Rivera, Jack Howard, Samuel Goh, James Worrell, Paul Di Gangi
A Comparison Of Personal Social Media Risk Perceptions Between Undergraduate Students And Human Resource Professionals, Julio C. Rivera, Jack Howard, Samuel Goh, James Worrell, Paul Di Gangi
KSU Proceedings on Cybersecurity Education, Research and Practice
This study contrasts the social media risk perceptions of undergraduate students, versus those of certified Human Resource professionals. Social media is widely used by most segments of the population, and particularly among the age group that includes most undergraduate students. Organizations hiring employees are increasingly examining job applicant's social media postings as part of the applicant screening process. In this study we examine how these groups differ in their perceptions of the risks inherent in using social media, and what these differences may mean for students seeking employment. Recommendations are made for raising undergraduate student awareness of these risks.
Experiments With Applying Artificial Immune System In Network Attack Detection, Alexis Cooper
Experiments With Applying Artificial Immune System In Network Attack Detection, Alexis Cooper
KSU Proceedings on Cybersecurity Education, Research and Practice
The assurance of security within a network is difficult due to the variations of attacks. This research conducts various experiments to implement an Artificial Immune System based Intrusion Detection System to identify intrusions using the Negative Selection Algorithm. This research explores the implementation of an Artificial Immune System opposed to the industry standard of machine learning. Various experiments were conducted to identify a method to separate data to avoid false-positive results. The use of an Artificial Immune System requires a self and nonself classification to determine if an intrusion is present within the network. The results of an Artificial Immune …
A Developmental Study On Assessing The Cybersecurity Competency Of Organizational Information System Users, Richard Nilsen, Yair Levy, Steven Terrell, Dawn Beyer
A Developmental Study On Assessing The Cybersecurity Competency Of Organizational Information System Users, Richard Nilsen, Yair Levy, Steven Terrell, Dawn Beyer
KSU Proceedings on Cybersecurity Education, Research and Practice
Organizational information system users (OISUs) that are open to cyber threats vectors are contributing to major financial and information losses for individuals, businesses, and governments. Moreover, technical cybersecurity controls may be rendered useless due to a lack of cybersecurity competency of OISUs. The main goal of this research study was to propose and validate, using subject matter experts (SMEs), a reliable hands-on assessment prototype tool for measuring the knowledge, skills, and abilities (KSAs) that comprise the cybersecurity competency of an OISU. Primarily using the Delphi methodology, this study implemented four phases of data collection using cybersecurity SMEs for proposing and …
Voice Hacking Proof Of Concept: Using Smartphones To Spread Ransomware To Traditional Pcs, Leonardo I. Mazuran, Bryson R. Payne, Tamirat T. Abegaz
Voice Hacking Proof Of Concept: Using Smartphones To Spread Ransomware To Traditional Pcs, Leonardo I. Mazuran, Bryson R. Payne, Tamirat T. Abegaz
KSU Proceedings on Cybersecurity Education, Research and Practice
This paper presents a working proof of concept that demonstrates the ability to deploy a sequence of hacks, triggered by speaking a smartphone command, to launch ransomware and other destructive attacks against vulnerable Windows computers on any wireless network the phone connects to after the voice command is issued. Specifically, a spoken, broadcast, or pre-recorded voice command directs vulnerable Android smartphones or tablets to a malicious download page that compromises the Android device and uses it as a proxy to run software designed to scan the Android device’s local area network for Windows computers vulnerable to the EternalBlue exploit, spreading …
Security Device Roles, Vabrice Wilder
Security Device Roles, Vabrice Wilder
KSU Proceedings on Cybersecurity Education, Research and Practice
“An abstract of this article was published in the proceedings of the Conference on Cybersecurity Education, Research & Practice, 2017”. Communication has evolved since the beginning of mankind from smoke signals to drones to now the internet. In a world filled with technology the security of one’s device is not to be taken for granted. A series of research was done in order to gather details about network devices that can aid in the protection of one’s information while being transferred through the internet. The findings included but not limited to, switches, the seven layers of OSI, routers, firewalls, load …
"Think Before You Click. Post. Type." Lessons Learned From Our University Cyber Secuity Awareness Campaign, Rachael Innocenzi, Kaylee Brown, Peggy Liggit, Samir Tout, Andrea Tanner, Theodore Coutilish, Rocky Jenkins
"Think Before You Click. Post. Type." Lessons Learned From Our University Cyber Secuity Awareness Campaign, Rachael Innocenzi, Kaylee Brown, Peggy Liggit, Samir Tout, Andrea Tanner, Theodore Coutilish, Rocky Jenkins
KSU Proceedings on Cybersecurity Education, Research and Practice
This article discusses the lessons learned after implementing a successful university-wide cyber security campaign. The Cyber Security Awareness Committee (CyberSAC), a group comprised of diverse units across campus, collaborated together on resources, talent, people, equipment, technology, and assessment practices to meet strategic goals for cyber safety and education. The project involves assessing student learning and behavior changes after participating in a Cyber Security Password Awareness event that was run as a year-long campaign targeting undergraduate students. The results have implications for planning and implementing university-wide initiatives in the field of cyber security, and more broadly, higher education at large.
Ssetgami: Secure Software Education Through Gamification, Hector Suarez, Hooper Kincannon, Li Yang
Ssetgami: Secure Software Education Through Gamification, Hector Suarez, Hooper Kincannon, Li Yang
KSU Proceedings on Cybersecurity Education, Research and Practice
Since web browsers have become essential to accomplishing everyday tasks, developing secure web applications has become a priority in order to protect user data, corporate databases and critical infrastructure against cyber-crimes . This research presents a game-like (gamification) approach to teach key concepts and skills on how to develop secure web applications. Gamification draws on motivational models, one of psychological theories. Gamification design has great potential over traditional education where we often find students demotivated and lecturers failing to engage them in learning activities. This research created game-like learning modules to teach top vulnerabilities and countermeasures for these top vulnerabilities …
Cloud‐Based Text Analytics Harvesting, Cleaning And Analyzing Corporate Earnings Conference Calls, Michael Chuancai Zhang, Vikram Gazula, Dan Stone, Hong Xie
Cloud‐Based Text Analytics Harvesting, Cleaning And Analyzing Corporate Earnings Conference Calls, Michael Chuancai Zhang, Vikram Gazula, Dan Stone, Hong Xie
Commonwealth Computational Summit
No abstract provided.
Cloud-Based Text Analytics: Harvesting, Cleaning And Analyzing Corporate Earnings Conference Calls, Michael Chuancai Zhang, Vikram Gazula, Dan Stone, Hong Xie
Cloud-Based Text Analytics: Harvesting, Cleaning And Analyzing Corporate Earnings Conference Calls, Michael Chuancai Zhang, Vikram Gazula, Dan Stone, Hong Xie
Commonwealth Computational Summit
Does management language cohesion in earnings conference calls matter to the capital market? As a part of the research on the above question, and taking advantage of the modern IT technologies, this project:
- harvested 115,882 earnings conference call transcripts from SeekingAlpha.com
- parsed and structured 89,988 transcripts using regular expressions in Stata
- analyzed 179,976 text files using Amazon Elastic Compute Cloud (Amazon EC2), which
- saved almost 2 years (675 days) of the project time
Distributed Evolution Of Spiking Neuron Models On Apache Mahout For Time Series Analysis, Andrew Palumbo
Distributed Evolution Of Spiking Neuron Models On Apache Mahout For Time Series Analysis, Andrew Palumbo
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Detecting Deception In Asynchronous Text, Fletcher Glancy
Detecting Deception In Asynchronous Text, Fletcher Glancy
Annual ADFSL Conference on Digital Forensics, Security and Law
Glancy and Yadav (2010) developed a computational fraud detection model (CFDM) that successfully detected financial reporting fraud in the text of the management’s discussion and analysis (MDA) portion of annual filings with the United States Securities and Exchange Commission (SEC). This work extends the use of the CFDM to additional genres, demonstrates the generalizability of the CFDM and the use of text mining for quantitatively detecting deception in asynchronous text. It also demonstrates that writers committing fraud use words differently from truth tellers.
Migrating Behavior Search’S User Interface From Swing To Javafx, An Nguyen Dang
Migrating Behavior Search’S User Interface From Swing To Javafx, An Nguyen Dang
Celebration of Learning
Agent-based models (ABMs) is a genre of computer modeling that simulates actions and interactions between individual entities (agents). ABM is widely used to simulate behavior in many fields, including biology, ecology, chemistry, physics, economics, and social science. NetLogo is a well-known agent-based programming language that provides a powerful platform to build and examine ABMs. However, to fully analyze a model one must run the model many times with different parameters, which can be a very daunting task. Therefore, Dr. Forrest Stonedahl developed BehaviorSearch, a software tool to help with automating the exploration of ABMs. The software interfaces with the NetLogo …