Internal Reconnaissance
Internal Reconnaissance is a method within the domain of cybersecurity incident response that involves the systematic collection and analysis of network, system, and user information following initial compromise to identify potential pathways and targets for lateral movement within an enterprise environment.
6
Publications
258
Citations
29
Authors
7
Institutions
Publications per year
2017–2026
1
Parents
6
The second derivative method of gravity interpretation
Thomas A. Elkins · Geophysics · 1951 · 175 citations
Crispin Wright · The Journal of Philosophy · 2000 · 25 citations
RAT-based malicious activities detection on enterprise internal networks
Masahiro Yamada, Masanobu Morinaga, Yuki Unno et al. · 2015 · 15 citations
Elliott M. Hamilton, R. M. Lark, Scott D. Young et al. · Chemosphere · 2020 · 12 citations · Full text
1–5 of 6
29
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 29
7

British Geological Survey
Nottingham, United Kingdom
1 h-index
2 publications
24 citations
Golden Valley Agricultural Research Trust
Lusaka, Zambia
1 h-index
1 publications
12 citations
Institute of Entomology
České Budějovice, Czechia
1 h-index
1 publications
10 citations
Loughborough University
Loughborough, United Kingdom
1 h-index
4 publications
48 citations

University of Nottingham
Nottingham, United Kingdom
1 h-index
4 publications
48 citations
Fujitsu (Japan)
Kawasaki, Japan
1 h-index
5 publications
75 citations
Copperbelt University
Kitwe, Zambia
1 h-index
1 publications
12 citations
1–7 of 7
1 publications · 25 citations
1
h-index
1 publications · 12 citations
1
h-index
1 publications · 10 citations
1
h-index
Repository · 1 publications · 21 citations
1
h-index
1 publications · 175 citations
1
h-index
1–5