TY - GEN
T1 - Services Computing for Cyber-Threat Intelligence
T2 - 1st International Workshop on Edge Adoption and Migration, EdgeWays 2020, 16th International Workshop on Engineering Service-Oriented Applications and Cloud Services, WESOACS 2020, ESOCC 2020 PhD Symposium, ESOCC 2020 EU Projects Track which took place at 8th European Conference on Service-Oriented and Cloud Computing, ESOCC 2020
AU - De Pascale, Daniel
AU - Cascavilla, Giuseppe
AU - Tamburri, Damian A.
AU - van den Heuvel, Willem Jan
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - Major cybersecurity and threat intelligence analysts agree that online criminal activity is increasing exponentially. Technologies, newspapers, the internet, and social media made the dark web an accessible place to almost everyone. The ease of accessing the dark side of the web makes the problem more critical than ever. For this reason, the European Union financed the ANITA project, consisting of different tools for monitoring and fighting illegal criminal activities on the Dark Web. In the ANITA project, we propose different Big Data analytic tools for the analysis of all data extracted from illegal marketplaces. In this survey paper we present our developed tools for detecting trends and analyzing the incoming information with respect to illegal trafficking. The tool extracts information about specific trends, analytics and produces actionable insight on buying and transaction habits and user behaviors. The tool extracts statistics in order to support and guide investigators and law enforcement agencies for the detection of criminal activities.
AB - Major cybersecurity and threat intelligence analysts agree that online criminal activity is increasing exponentially. Technologies, newspapers, the internet, and social media made the dark web an accessible place to almost everyone. The ease of accessing the dark side of the web makes the problem more critical than ever. For this reason, the European Union financed the ANITA project, consisting of different tools for monitoring and fighting illegal criminal activities on the Dark Web. In the ANITA project, we propose different Big Data analytic tools for the analysis of all data extracted from illegal marketplaces. In this survey paper we present our developed tools for detecting trends and analyzing the incoming information with respect to illegal trafficking. The tool extracts information about specific trends, analytics and produces actionable insight on buying and transaction habits and user behaviors. The tool extracts statistics in order to support and guide investigators and law enforcement agencies for the detection of criminal activities.
UR - http://www.scopus.com/inward/record.url?scp=85103522080&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-71906-7_15
DO - 10.1007/978-3-030-71906-7_15
M3 - Conference contribution
AN - SCOPUS:85103522080
SN - 9783030719050
T3 - Communications in Computer and Information Science
SP - 166
EP - 172
BT - Advances in Service-Oriented and Cloud Computing - International Workshops of ESOCC 2020, Revised Selected Papers
A2 - Zirpins, Christian
A2 - Paraskakis, Iraklis
A2 - Andrikopoulos, Vasilios
A2 - Kratzke, Nane
A2 - Pahl, Claus
A2 - El Ioini, Nabil
A2 - Andreou, Andreas S.
A2 - Feuerlicht, George
A2 - Lamersdorf, Winfried
A2 - Ortiz, Guadalupe
A2 - Van den Heuvel, Willem-Jan
A2 - Soldani, Jacopo
A2 - Villari, Massimo
A2 - Casale, Giuliano
A2 - Plebani, Pierluigi
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 28 September 2020 through 30 September 2020
ER -