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My Publications

Explore a compilation of my scholarly contributions and research endeavors, providing insights into my academic journey and the knowledge I’ve contributed to my field.

Journey To Expertise

Biodoumoye’s academic journey unfolds as a dynamic fusion of her Nigerian roots and American experiences, shaping her into a Digital Forensics Expert and Investigator. Motivated by faith and a deep sense of purpose, she pursued a doctoral degree in Digital and Cyber Forensics Science, guided by a commitment to making a lasting impact on digital forensics methodologies.

Her passion spans various domains within digital and cyber forensics, including malware analysis, incident response, digital evidence analysis, machine learning applications, international collaboration, and education. Anchored in faith, she embraces cutting-edge technologies to navigate the complexities of cyber threats, transforming digital forensics into a proactive discipline that addresses the challenges of our interconnected and digitized world.

Biodoumoye’s expertise lies in leveraging advanced analytical tools, automation, real-time monitoring, data recovery, blockchain analysis, cloud forensics, and global collaboration. Her intersection of cultural insights, technical acumen, and a commitment to digital security positions her as a leader in the evolving field, where she explores the potential of technology and investigative methodologies to secure digital environments. 

 

 
 
My Publications

By Biodoumoye George Bokolo and Qingzhong Liu

Department of Computer Science, Sam Houston State University, Huntsville, TX 77341, USA.

Detecting depression from user-generated content on social media platforms has garnered significant attention due to its potential for the early… identification and monitoring of mental health issues.

By Biodoumoye George Bokolo; Ebikela Ogegbene-Ise; Lei Chen; Qingzhong Liu

This research examines sentiment analysis in the context of crime intent using machine
learning algorithms.

 A comparison is made between a crime intent dataset generated from a Twitter developer account and Kaggle’s sentiment140 dataset for Twitter sentiment analysis. The algorithms employed include Support Vector Machine (SVM), Naïve Bayes, and Long Short-Term Memory (LSTM). The findings indicate that LSTM outperforms the other algorithms, achieving high accuracy (97%) and precision (99%) in detecting crime tweets. Thus, it is concluded that the crime tweets were accurately identified…

By Chandlor Ratcliffe, Biodoumoye George Bokolo, Damilola Oladimeji & Bing Zhou

Malicious software operating on a target system, whether malware or anti-forensic, can impede data collecting, processing, and testing in digital and cyber forensic research.

VolMemLyzer was developed by Lashkari et al. to identify malware executing in memory dumps using machine learning techniques. The usage of VolMemLyzer to detect the presence of Malware or Anti-Forensic software using characteristics retrieved from a memory dump was expanded in this research… 

By Biodoumoye George Bokolo  and Qingzhong Liu

Dept. of Computer Science, Sam Houston State University, Huntsville, Texas.
 

Social media platforms have seen an increase in the prevalence of cyberbullying. Making social media platforms safe from cyberbullying is essential, given the popularity and extensive use of social media among people of all ages… 

By Biodoumoye George Bokolo; Lei Chen; Qingzhong Liu

Dept. of Computer Science, Sam Houston State University, Huntsville, Texas.

The rise in usage of the Internet has tremendously helped those who use web applications. Web-based applications are becoming more susceptible to numerous security risks and network vulnerabilities as online attacks continue to develop… 

By Biodoumoye George Bokolo; Lei Chen; Qingzhong Liu

Department of Computer Science, Sam Houston State University, Huntsville, TX 77341, USA.

 

This paper presents an approach for cybercriminal profiling using pre-trained DistilBert, LSTM, and BERT models. By analyzing criminal behaviors and linking them to offender characteristics, the proposed method utilizes structural and parameter learning techniques. Digital forensics, as a means to locate criminal and cybercriminal activity, is highlighted as increasingly important...

By Biodoumoye George Bokolo, Praise Onyehanere, Ebikela Ogegbene-Ise, Itunu Olufemi & Josiah Nii Armah Tettey 

Conference paper | First Online: 

 

Detecting crime intent from user-generated content on social media platforms has become increasingly important for law enforcement and crime prevention. This paper presents a comprehensive approach for crime intent detection from user tweets using machine learning techniques…

By Biodoumoye George Bokolo, Qingzhong Liu

Book: Combatting Cyberbullying in Digital Media with Artificial Intelligence.

Technology development has made it possible for a new kind of bullying, which frequently results in social shame. To help decrease the incidence of cyberbullying, interventions must be regularly updated. Cyberspace has expanded beyond the Internet in the tech-mediated world of today, so it is imperative that we investigate the nascent problem of cyberbullying...

By Biodoumoye George Bokolo & Nurettin Selcuk Senol 

Breakthroughs in Digital Biometrics and Forensics | Chapter- First Online: 

eDiscovery is the electronic aspect of identifying information, collecting data, and producing an ESI during a crime investigation. The antiquity, the present, and the future of eDiscovery have not been made explicitly understandable by new and upcoming digital forensic analysts, however, has been one of the most useful tools and mechanisms used to solve the world’s biggest digital forensic cases like Enron, WorldCom, etc.

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Celebrations Of Achievements

Commemorating milestones and triumphs on my academic journey through a showcase of accomplishments, honors, and the joyous moments that define my doctoral pursuit. from groundbreaking research contributions to notable recognitions, Let the journey inspire and resonate with fellow scholars, mentors, and enthusiasts alike

Connect with Biodoumoye

Stay connected with Biodoumoye on social media for updates, insights, and discussions on the forefront of digital forensics and cybersecurity.

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