Crossref DOIMemberCiteFactoropen accessissn
SJIF Impact Factor 8.659 | ISSN: 2582-3930
IJSREM Logo

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

HomeCurrent IssuePast IssuesPay OnlineConferencesEditorial BoardAbout UsContact Us
IJSREM

Loading article...

Follow Us

  • Google Scholar
  • ResearchGate
  • Academia.edu
  • Mendeley
  • LinkedIn
  • Facebook
  • Instagram

Journal Policies

  • Peer Review Policy
  • Publication Ethics
  • Copyright Infringement
  • Refund & Cancellation Policy
  • Terms and Conditions
  • Privacy Policy

Journal Identifiers & Licenses

  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
  • Crossref DOI: 10.55041Crossref DOI: 10.55041
  • SJIF Ranking: 08.659SJIF Ranking: 08.659
  • Licensed under CC BY 4.0Licensed under CC BY 4.0
  • ISO Certification: 9001:2015ISO Certification: 9001:2015
  • Indexed & Cited In: Google ScholarIndexed & Cited In: Google Scholar

Contact Us

International Journal of Scientific Research in Engineering and Management (IJSREM)

#62/1, New No 7, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore, Karnataka, India – 560032
[email protected]+91 93911 67991
logos
logos
Working Hours

Mon – Sat: 9:00 AM – 6:00 PM

Sunday: 10:00 AM – 4:00 PM

+91 93911 67991

© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DisclaimerPrivacy PolicyTerms and Conditions
ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM62407

PrivAware – An AI-Powered Privacy Policy Simplifier

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM62407

Volume:

10 |

5 |

May 2026

Pages:

1--

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Share this article:

Authors

AS

AKSHITA SATRE

Department of Computer Science & Engineering

MIT ADT UNIVERSITY

Download Author Certificate
VP

VEDANT PAUN

Department of Computer Science & Engineering

MIT ADT UNIVERSITY

Download Co-Author Certificate
AP

APOORVA PANIGRAHI

Department of Computer Science & Engineering

MIT ADT UNIVERSITY

Download Co-Author Certificate

Mentors

DNK

DR. NANDKISHOR KARLEKAR

Department of Computer Science & Engineering

MIT ADT UNIVERSITY

Download Mentor Certificate

Author Services & Downloads

Full ArticlesAcceptance Certificate

Abstract

Most people have never read a privacy policy - not because they don't care, but because these documents were never really written for them. Estimates suggest that keeping up with the privacy policies a single user encounters online would consume over 180 hours a year, which means agreeing to them has become a reflex rather than a decision. The tools that exist to help haven't changed this much - they flag known bad actors but stay silent about everything else. Sebastianzimmeck PrivAware is a browser extension built around the idea that privacy protection should happen automatically, in the background, without asking users to become experts. It watches what a page is actually doing - where it's sending data, what it's tracking, whether its stated privacy policy matches its behavior - and surfaces a simple risk score with a plain-language explanation. No setup, no manual review, no legal literacy required. This paper describes how the system was designed, how its underlying models were trained, and what it reveals about the gap between what websites claim and what they do.

KEYWORDS

IndexTerms — privacy policy analysis phishing detection NLP DistilBERT fine-tuning Chrome extension browser privacy risk scoring OPP-115 HuggingFace real-time inference tracker detection user consent transformer models cybersecurity

Cite This Article

AKSHITA SATRE, VEDANT PAUN, APOORVA PANIGRAHI, DR. NANDKISHOR KARLEKAR, "PrivAware – An AI-Powered Privacy Policy Simplifier," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1--, May 2026.

Full Article/Conclusion

The ever-growing online threat landscape means that current security systems that rely on fixed blocklists are not adequate in combating modern phishing attacks and shady privacy practices. PrivAware  addresses this by integrating real-time anti-phishing with privacy policy evaluation into an easy-to-understand Chrome extension.   Using transformer-based natural language processing (NLP) models with DistilBERT and the API system it enables, the product provides real-time, accurate, and interpretable risk scores for any web page. PrivAware  provides a single risk score that combines phishing, privacy policy and tracker information, allowing users to assess and mitigate cyber risks.   Evaluation results demonstrate that PrivAware has high precision, recall and accuracy, indicating it effectively identifies malicious links and potentially deceptive privacy statements. The system's integration with a browser extension makes it easy to use in real-time for non-technical users.   With future technological improvements in explainable AI, multi-language support and user preferences, PrivAware may become a user's personalised digital privacy coach. In conclusion, the system is a step in the direction of proactive, intelligent and user-friendly web security, bringing cybersecurity to real users.

References

●                 K. Vander/Schyff, G. Hoepman and S. Foster, Privacy policy analysis: A scoping review and Research agenda, Computers and security, vol. 146, p. 104065, February 2024. ●                 A. Adhikari, S. 19th Annual Int. Conf. on Privacy, Security & Trust (PST), 2022. ●                 Y. Shwartzshnaider, A. Balashankar, V. Patidar, T. Wies and L. Proceedings of the Association of Advancement of Artificial Intelligence (AAAI) annual meeting, Human Computation and Crowdsourcing (HCOMP), 2020. ●                 H.Cui, R.Trimananda, A.Markopoulou and S.Jordan, PoliGraph: Knowledge Graph-based Privacy Policy Analysis, arXiv:2210.06746, Oct. ●                 Privacy Parser: Deep Learning-based Privacy Parser, arXiv:2501.10319, Jan. ●                 "Summary of privacy policy based on Ensemble learning, in Proc. CODASPY, 2016. ●                 J. Saka, B. A. Ajayi and S. M. Marafa, Analysis of Privacy Policy of Corporations using Natural Language Processing and Deep Learning, Inter. J. Adv. Res. Computer. Eng. Technol., vol. 4, no. 12, 2023. ●                 The elaboration of the Websites Privacy Policies ( 2009-2019): Insight, Information, vol. ●                 Automating Privacy Policy Analysis with LLMs: Prompt engineering, Fine tuning and Explaining arXiv:2503.16516, Mar. ●                 J.Bhutto, Extraction and Analysis of Privacy Policies Automation B.A. Thesis, Univ. of Twente, 2021. ●                 P.  John and G.  Axenbeck, "An automated tool to measure the completeness of privacy policies," in Proc. Privacy in the Electronic Society, 2012. ●                 S. Sousa and R. Deep learning of privacy-preserving natural language processing: a review," Artif. Intell. Rev., May 2022.

Editorial & Review Transparency

Publication Date

5/6/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

0

Total views since publication

PDF Downloads

7

Total downloads since publication

Geographic Reach

5

Indexing, Archiving & Preservation

Google Scholar
Academia
ResearchGate
Crossref
SSRN
Semantic Scholar
Thomson Reuters
WorldCat
Mendeley
OpenAlex
EBSCO
Zenodo

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

Plagiarism Screening

This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

Funding Information

No funding information available for this research.

Similar & Recommended Articles

Similar Articles by Topic

Related research in the same subject area

Loading similar articles...