Melola Discovery

← Melola Discovery

Open access Jurnal SINTA 1

Experimental Analysis of Web Browser Sessions Using Live Forensics Method

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 8 No. 5 (2018)

DOI
10.11591/ijece.v8i5.pp2951-2958
ISSN
2088-8708, 2088-8708
Published
2018-10-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

Abstract

In today's digital era almost every aspect of life requires the internet, one way to access the internet is through a web browser. For security reasons, one developed is private mode. Unfortunately, some users using this feature do it for cybercrime. The use of this feature is to minimize the discovery of digital evidence. The standard investigative techniques of NIST need to be developed to uncover an ever-varied cybercrime. Live Forensics is an investigative development model for obtaining evidence of computer usage. This research provides a solution in forensic investigation effectively and efficiently by using live forensics. This paper proposes a framework for web browser analysis. Live Forensics allows investigators to obtain data from RAM that contains computer usage sessions.

Collaboration network of the authors

26 authors · 54 co-authorship links · 2 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universitas Ahmad Dahlan
  • AGH University of Krakow
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Imam RiadiUniversitas Ahmad Dahlan7
Abdul FadlilUniversitas Ahmad Dahlan6
Rio AnggaraUniversitas Ahmad Dahlan2
Siti HelmiyahUniversitas Ahmad Dahlan2
Abdullah HanifUniversitas Ahmad Dahlan2
Andi PrayudiUniversitas Ahmad Dahlan2
Asno Azzawagama FirdausUniversitas Ahmad Dahlan1
HermanUniversitas Ahmad Dahlan1
Rio SubandiAffiliation unknown1
Yuminah yuminahUniversitas Ahmad Dahlan1
Sunardi SunardiUniversitas Ahmad Dahlan1
Deni MurdianiUniversitas Ahmad Dahlan1
W YunanriUniversitas Ahmad Dahlan1
Frandika SeptaUniversitas Ahmad Dahlan1
Kharis Hudaiby HanifUniversitas Ahmad Dahlan1
Herman HermanUniversitas Ahmad Dahlan1
Satriya Dwi PutraUniversitas Ahmad Dahlan1
Fitri AnggrainiUniversitas Ahmad Dahlan1
Herman HermanUniversitas Ahmad Dahlan1
Shoffan SaifullahAGH University of Krakow1
Sunardi SunardiUniversitas Ahmad Dahlan1
Eko PriantoUniversitas Ahmad Dahlan1
Arizona FirdonsyahUniversitas Ahmad Dahlan1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Experimental Analysis of Web Browser Sessions Using Live Forensics Method</dc:title><dc:creator>Umar, Rusydi</dc:creator><dc:creator>Yudhana, Anton</dc:creator><dc:creator>Nur Faiz, Muhammad</dc:creator><dc:description>&lt;jats:p&gt;&amp;lt;span&amp;gt;In today's digital era almost every aspect of life requires the internet, one way to access the internet is through a web browser. For security reasons, one developed is private mode. Unfortunately, some users using this feature do it for cybercrime. The use of this feature is to minimize the discovery of digital evidence. The standard investigative techniques of NIST need to be developed to uncover an ever-varied cybercrime. Live Forensics is an investigative development model for obtaining evidence of computer usage. This research provides a solution in forensic investigation effectively and efficiently by using live forensics. This paper proposes a framework for web browser analysis. Live Forensics allows investigators to obtain data from RAM that contains computer usage sessions. &amp;lt;/span&amp;gt;&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2018-10-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v8i5.pp2951-2958</dc:identifier><dc:identifier>10.11591/ijece.v8i5.pp2951-2958</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 8 No 5 (2018); 2951</dc:source><dc:source>2088-8708</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://ijece.iaescore.com/index.php/IJECE/article/viewFile/9434/10980</dc:relation><dc:rights>http://creativecommons.org/licenses/by-nc/4.0</dc:rights></oai_dc:dc>