Artemis: protection from sexual exploitation attacks via SMS
Abstract
The increasing adoption of mobile communication through SMS (Short Message Service) messages by young people, has attracted pedophiles to perform sexual exploitation attacks. Artemis is an Android application that aims to protect minors by recognizing such attacks using advanced classification techniques. In case of high exploitation risk, a warning signal is sent to the designated parent who is responsible for further actions. The implementation results reveal sufficient and transparent operation of the application along with a significant reduction of the amount of transmitted traffic for application specific messages.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Michalopoulos et al. designed a model that monitored the messages during the conversations and sent a warning signal to parents in case of high-risk exploitation.
“For instance, Michalopoulos et al. [157] designed a model that monitored the messages during the conversations and sent a warning signal to parents in case of high-risk exploitation.”
From Online grooming detection: A comprehensive survey of child exploitation in chat logs (2023) · cites this paper as [157]
Cited by
Sorted by citations
Razi, A., Kim, S., Alsoubai, A., Stringhini, G., Solorio, T., De Choudhury, M., & Wisniewski, P. J. (2021) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3479609 · Cited by 95 · see citing works
Online grooming detection: A comprehensive survey of child exploitation in chat logs
Borj, P. R., Raja, K., & Bours, P. (2023) · Knowledge-Based Systems · doi:10.1016/j.knosys.2022.110039 · Cited by 38 · see citing works
- Authors
- Michalopoulos, D., Papadopoulos, E., & Mavridis, I.
- Affiliations
- University of Macedonia (GR)
- Venue
- 2012 16th Panhellenic Conference on Informatics
- Publisher
- IEEE
- Published
- 2012-10
- Pages
- 19-24
- OpenAlex
- W2108272444
- Cited by
- 6
- References
- 0
- Citations by year
- 2024: 1 · 2022: 2 · 2021: 1 · 2014: 1 · 2013: 1
- FWCI
- 0.50
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Panhellenic Conference on Informatics (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Spam and Phishing Detection
- Physical Sciences › Computer Science › Artificial Intelligence › Hate Speech and Cyberbullying Detection
- Physical Sciences › Computer Science › Signal Processing › Advanced Malware Detection Techniques
- Keywords
- child sexual abuse, SMS, mobile security, Android application, text classification, traffic reduction
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
