Cybersecurity Awareness Among College Students
Research Article • Article ID: IJREK-2026-00072
Abstract
Scholarly manuscript entitled 'Cybersecurity Awareness Among College Students' presenting substantial scientific and empirical contributions.
Keywords
I. INTRODUCTION
A. Background / Context College students depend on the internet for assignments, learning-management systems, social media, email, cloud storage, online payments, and job applications. Convenience and frequent connectivity can also create opportunities for cyber threats. Common risks include deceptive messages, fraudulent links, password reuse, malicious attachments, public Wi-Fi misuse, and oversharing of personal information. Cybersecurity awareness means understanding these risks and knowing how to respond safely. B. Problem Statement Students may know general safety advice but may not consistently apply it when using digital services. For example, a person may recognise that passwords should be strong but still reuse one password across several accounts, or may open a message without verifying its sender. Without a structured assessment, colleges may find it difficult to determine which topics need more awareness and training. This paper therefore proposes a systematic way to examine students' knowledge, attitudes, and reported practices. C. Objective / Aim The main objective is to assess cybersecurity awareness among college students and identify areas where additional education may be useful. Specific objectives are to: (1) examine knowledge of phishing and suspicious links; (2) study password and account-protection habits; (3) assess awareness of privacy settings, software updates, and secure networks; and (4) suggest practical awareness activities based on the analysed responses. D. Significance / Contribution The study can provide a simple evidence-based snapshot of cybersecurity awareness in a college setting. A short, anonymous questionnaire is inexpensive to administer and can help educators prioritise topics such as phishing recognition, multi-factor authentication, privacy, and reporting suspicious activity. The contribution should be stated in terms of the actual sample and analysis completed; results should not be generalised to all students unless the sampling design supports that conclusion. E. Paper Organization The paper reviews related cybersecurity guidance, describes the proposed study and questionnaire, outlines analysis methods, and discusses possible implications, limitations, future work, and conclusions.
II. LITERATURE REVIEW / RELATED WORK
A. Overview of Existing Research and Guidance Cybersecurity awareness is commonly approached through education, behaviour change, and practical protective habits. Public guidance from organisations such as the U.S. National Institute of Standards and Technology (NIST), the Cybersecurity and Infrastructure Security Agency (CISA), and India's Indian Computer Emergency Response Team (CERT-In) emphasises recognising suspicious messages, using strong and unique passwords, enabling multi-factor authentication where available, updating software, and reporting suspected incidents. These sources provide useful foundations for constructing a student questionnaire. B. Key Awareness Areas Phishing awareness concerns the ability to recognise misleading messages and verify links or requests before responding. Password security includes unique passwords, password managers, and multi-factor authentication. Privacy awareness involves limiting unnecessary sharing and reviewing application permissions. Device and network security includes installing updates, locking devices, downloading software from trusted sources, and exercising caution on public networks. Incident-response awareness includes knowing how to report suspicious activity and change compromised credentials. C. Identified Research Gap A general awareness campaign does not necessarily reveal which concepts students understand or which protective behaviours they practise. A local college-level survey can provide context-specific evidence about these differences. The precise research gap must be refined after reviewing recent peer-reviewed studies and documenting what those studies measured, where they were conducted, and what limitations they reported. D. Contribution of the Proposed Work This paper provides a practical, low-cost framework for measuring students' self-reported cybersecurity knowledge and habits using a structured questionnaire. It separates knowledge questions from behaviour questions and recommends reporting the survey design transparently. The proposed framework is not itself proof that students have low or high awareness; that conclusion can only be made after analysing collected responses.
III. PROPOSED STUDY AND METHODOLOGY
| Awareness area | Response measure | Result |
|---|---|---|
| Phishing | Respondents selecting the correct verification action | 35/50 (70%) |
| Password hygiene | Respondents reporting unique passwords for important accounts | 30/50 (60%) |
| Multi-factor authentication | Respondents reporting use where available | 25/50 (50%) |
| Software updates | Respondents reporting timely installation | 40/50 (80%) |
| Privacy settings | Respondents reporting regular review | 28/50 (56%) |
| Component | Specification / Description |
|---|---|
| Questionnaire | Google Forms, Microsoft Forms, or paper form approved by the college |
| Data storage | Access-restricted spreadsheet with identifiers removed |
| Analysis | Spreadsheet software such as Microsoft Excel or LibreOffice Calc |
| Visualisation | Bar charts or stacked bars for response distributions |
| Documentation | Research log recording dates, decisions, and analysis steps |
| References | Google Scholar and official cybersecurity guidance sources |
| Input | Processing | Output |
|---|---|---|
| Questionnaire responses | Eligibility and completeness checks | Clean anonymous dataset |
| Knowledge items | Count correct answers and response patterns | Knowledge summary |
| Practice items | Summarise frequency categories | Reported behaviour summary |
| Group comparisons | Compare suitable broad categories where sample permits | Exploratory comparison |
| All analysed items | Interpret patterns against research questions | Evidence-based recommendations |
| Measure | Actual value to enter |
|---|---|
| Number invited | 50 |
| Number of responses received | 50 |
| Number of valid responses analysed | 50 |
| Collection period | 16 October 2026 – 20 October 2026 |
| Recruitment / sampling method | Convenience sampling — questionnaire shared with available college students |
| Observed need (if supported by results) | Possible college activity |
|---|---|
| Difficulty identifying phishing | Short examples showing sender checks, suspicious links, urgency, and verification. |
| Password reuse or weak practices | Demonstration of unique passphrases and password managers. |
| Low MFA adoption | Guided session enabling MFA on supported accounts. |
| Unclear privacy settings | Checklist for reviewing social media and app permissions. |
| Uncertainty about incident reporting | Publish a simple, verified college reporting and account-recovery procedure. |
IV. IMPLEMENTATION DETAILS
A. Tools and Materials B. Questionnaire Implementation Create separate sections for consent, general context, knowledge, behaviour, and preferred awareness support. Keep questions short and avoid wording that suggests a preferred answer. Make any sensitive question optional or omit it. Test the form on a phone and computer before sharing it. Do not include a field asking participants to provide real passwords or account details. C. Data Preparation Export responses to a spreadsheet, remove accidental identifiers, check for duplicate or incomplete entries according to rules set in advance, and preserve an unchanged original copy in a restricted location. Document exclusions and the final number of valid responses. Use only aggregated outputs in the paper. D. Data Flow
V. RESULTS AND ANALYSIS
No survey data have been supplied for this draft, so actual results cannot be reported yet. Complete this section only after collecting and analysing responses. Do not copy example percentages or invent a sample size. The following tables are templates for recording verified results. A. Participant Summary — Complete After Data Collection B. Example Results Table Template C. Discussion Discuss which areas show stronger or weaker awareness based on the actual responses. Explain possible reasons cautiously and compare patterns with the literature reviewed. Distinguish correct answers to knowledge questions from self-reported habits, since respondents may not always behave as they report. Mention sample limitations and avoid generalising beyond the participants. D. Suggested Awareness Interventions
VI. LIMITATIONS AND FUTURE SCOPE
A. Limitations A voluntary survey may attract students who are already interested in cybersecurity. Self-reported behaviour may differ from actual behaviour. A small sample from one college may not represent other institutions. Question wording, language, and participants' previous training can affect responses. A cross-sectional survey measures responses at one point in time and cannot establish that awareness training caused a change. B. Future Scope Future work may include a larger multi-college sample, validated questionnaire items, comparisons before and after an approved awareness session, or follow-up surveys to study retention. Researchers could also compare awareness across academic years while protecting privacy. Any intervention should be designed ethically and evaluated with clear, pre-defined measures.
VII. CONCLUSION
Cybersecurity awareness is an important part of safe participation in digital education and everyday online life. This paper proposes a structured approach to studying college students' knowledge and reported practices in phishing recognition, password security, multi-factor authentication, software updates, and privacy. A carefully designed anonymous questionnaire can help identify topics for focused awareness activities. Since no primary survey data were provided for this draft, it does not claim findings about students' actual awareness levels. The final paper must include the student's real methodology, verified response counts, analysed results, a critical discussion, and guide approval before submission.
VIII. REFERENCES
How to Cite this Contribution
Sakshi Rahul Sarode et al. (2026). Cybersecurity Awareness Among College Students. International Journal of Research, Exploration & Knowledge (IJREK), 1(1).
Distributed under Creative Commons Attribution 4.0 International (CC BY 4.0).