Updated README.md and added CITATION.cff after publication and presen…

…tation.

Co-authored-by: vvandermeer <vincent.vandermeer@zuyd.nl>

CITATION.cff

@@ -0,0 +1,33 @@
+cff-version: 1.2.0
+message: "If you use this software, please cite both the article from preferred-citation and the software itself."
+authors:
+- family-names: "van den Bos"
+  given-names: "Jeroen"
+- family-names: "van der Meer"
+  given-names: "Vincent"
+title: "Implementation of JPEG fragmentation point detection algorithm"
+version: "1.0.0"
+date-released: "2023-12-14"
+license: Apache-2.0
+url: "https://github.com/parsingdata/jpeg-fragments"
+preferred-citation:
+  type: "article"
+  authors:
+  - family-names: "van der Meer"
+    given-names: "Vincent"
+  - family-names: "van den Bos"
+    given-names: "Jeroen"
+  - family-names: "Jonker"
+    given-names: "Hugo"
+  - family-names: "Dassen"
+    given-names: "Laurent"
+  title: "Problem solved: A reliable, deterministic method for JPEG fragmentation point detection"
+  journal: "Forensic Science International: Digital Investigation"
+  volume-title: "DFRWS EU 2024 - Selected Papers from the 11th Annual Digital Forensics Research Conference Europe"
+  volume: "48"
+  year: "2024"
+  start: "301687"
+  pages: "10"
+  doi: "10.1016/j.fsidi.2023.301687"
+  url: "https://doi.org/10.1016/j.fsidi.2023.301687"
+  publisher: "Elsevier"

README.md

@@ -1,4 +1,5 @@
-This is the source code to the jpeg fragmentation validation point paper soon to be published.
+This is the source code accompanying the research paper [Problem solved: A reliable, deterministic method for JPEG fragmentation
+point detection](https://doi.org/10.1016/j.fsidi.2023.301687) that won the Best Paper Award at the [Digital Forensics Research Conference Europe (DFRWS EU 2024)](https://dfrws.org/conferences/dfrws-eu-2024/). Please see the `CITATION.cff` file for full citation information.
 
 In order to run the code, you need to have a Java 11 JDK installed along with a recent version of Maven.
 Execute the following command to run the unit tests demonstrating the algorithm:
@@ -11,4 +12,4 @@ The full dataset consisted of over 230k files scraped from Wikipedia.
 We provide a full list of names of all the files in the file `Wikipedia_dataset_230k_filenames_for_validating_jpeg_validator.txt`.
 
 This implementation consists of over 4k test files, which is a curated subset of the full dataset constructed in order to represent all variants of different types of jpeg.
-This includes baseline and progessive along with features such as grayscale, spectral selection, chromatic subsampling, successive approximation, restart markers and even some specialized subsets. 
+This includes baseline and progessive encodings along with features such as grayscale, spectral selection, chromatic subsampling, successive approximation, restart markers and even some specialized subsets.