Profiling cyber attackers by classification techniques; a case study on Russian hackers

Cyber-attacks have become increasingly common in recent years all over the world. In particular, the ongoing unfortunate events between Russia and Ukraine have been aided using technology. The Russians have used various types of attacks for various reasons, such as reconnaissance to gather informati...

Descripción completa

Guardado en:  
Detalles Bibliográficos
Autores principales: Ehiorobo, Eghe (Autor) ; Pournouri, Sina (Autor) ; Ghazaani, Setareh Jalali (Autor) ; Toms, Joel Mathew (Autor)
Tipo de documento: Print Artículo
Lenguaje:Inglés
Publicado: 2023
En: Cybersecurity in the age of smart societies
Año: 2023, Páginas: 171-201
Verificar disponibilidad: HBZ Gateway
Palabras clave:

MARC

LEADER 00000naa a2200000 c 4500
001 1918681910
003 DE-627
005 20250227090937.0
007 tu
008 250227s2023 xx ||||| 00| ||eng c
020 |a 9783031201592 
035 |a (DE-627)1918681910 
035 |a (DE-599)KXP1918681910 
040 |a DE-627  |b ger  |c DE-627  |e rda 
041 |a eng 
084 |a 2,1  |2 ssgn 
100 1 |a Ehiorobo, Eghe  |e VerfasserIn  |4 aut 
245 1 0 |a Profiling cyber attackers by classification techniques; a case study on Russian hackers  |c Eghe Ehiorobo, Sina Pournouri, Setareh Jalali Ghazaani, Joel Mathew Toms 
264 1 |c 2023 
300 |b Illustrationen 
336 |a Text  |b txt  |2 rdacontent 
337 |a ohne Hilfsmittel zu benutzen  |b n  |2 rdamedia 
338 |a Band  |b nc  |2 rdacarrier 
500 |a Literaturverzeichnis: Seite 200-201 
520 |a Cyber-attacks have become increasingly common in recent years all over the world. In particular, the ongoing unfortunate events between Russia and Ukraine have been aided using technology. The Russians have used various types of attacks for various reasons, such as reconnaissance to gather information about Ukraine's critical systems. It is critical to be able to profile these types of attacks for identification and other strategies to prevent such attacks in the future. Data mining techniques can be used to profile hackers by nation states, law enforcement agencies, and organizations alike. Profiling hackers can assist in better preparing for and responding to cyber-attacks. The goal of this study is to use data mining techniques to profile Russian hackers. Another important aspect of this study is the dataset that will be used, OSINT. The open-source dataset was chosen because it is free, suitable for research, and widely available. Different classification algorithms will be used to train the proposed predictors, and the most reliable and accurate model will be chosen. This study emphasizes the importance of better understanding well known Russian hacker groups, which could lead to better preparation and handling of cyber incidents involving such threat actors. Nation-state governments, researchers, and law enforcement agencies can use the developed model in conjunction with other techniques to quickly identify attacks from Russia APT groups, recommend controls, and develop a detailed strategy for countermeasures against such attacks, which will improve data security and privacy. 
650 4 |a Profiling 
650 4 |a Data Mining 
650 4 |a Classification 
650 4 |a Russian hackers 
650 4 |a Cyber-attacks 
650 4 |a Open-source intelligence 
700 1 |a Pournouri, Sina  |e VerfasserIn  |4 aut 
700 1 |a Ghazaani, Setareh Jalali  |e VerfasserIn  |4 aut 
700 1 |a Toms, Joel Mathew  |e VerfasserIn  |4 aut 
773 0 8 |i Enthalten in  |a International Conference on Global Security, Safety and Sustainability (14. : 2022 : Online)  |t Cybersecurity in the age of smart societies  |d Cham : Springer, 2023  |g (2023), Seite 171-201  |h xi, 484 Seiten  |w (DE-627)1880865416  |z 9783031201592  |7 nnam 
773 1 8 |g year:2023  |g pages:171-201 
776 1 |o 10.1007/978-3-031-20160-8_11 
951 |a AR 
ELC |b 1 
LOK |0 000 xxxxxcx a22 zn 4500 
LOK |0 001 4673921623 
LOK |0 003 DE-627 
LOK |0 004 1918681910 
LOK |0 005 20250227090937 
LOK |0 008 250227||||||||||||||||ger||||||| 
LOK |0 040   |a DE-2619  |c DE-627  |d DE-2619 
LOK |0 092   |o n 
LOK |0 852   |a DE-2619 
LOK |0 852 1  |9 00 
ORI |a SA-MARC-krimdoka001.raw