These statistics only relate to information collated by Janet CSIRT and do not provide an accurate sample of security activity across the research and education sectors. The figures are frequently more closely correlated to the activity of CSIRT and our detection of events rather than their actual rates of incidence.
These statistics only relate to information collated by Janet CSIRT and do not provide an accurate sample of security activity across the research and education sectors. The figures are frequently more closely correlated to the activity of CSIRT and our detection of events rather than their actual rates of incidence.
For example: a successful investigation by researchers into a botnet will cause that month's malware figures to rise even though the malware may have been active in previous months.
These statistics only relate to information collated by Janet CSIRT and do not provide an accurate sample of security activity across the research and education sectors. The figures are frequently more closely correlated to the activity of CSIRT and our detection of events rather than their actual rates of incidence.
For example: a successful investigation by researchers into a botnet will cause that month's malware figures to rise even though the malware may have been active in previous months.
These statistics only relate to information collated by Janet CSIRT and do not provide an accurate sample of security activity across the research and education sectors. The figures are frequently more closely correlated to the activity of CSIRT and our detection of events rather than their actual rates of incidence.
For example: a successful investigation by researchers into a botnet will cause that month's malware figures to rise even though the malware may have been active in previous months.
These statistics only relate to information collated by Janet CSIRT and do not provide an accurate sample of security activity across the research and education sectors. The figures are frequently more closely correlated to the activity of CSIRT and our detection of events rather than their actual rates of incidence.
For example: a successful investigation by researchers into a botnet will cause that month's malware figures to rise even though the malware may have been active in previous months.
These statistics only relate to information collated by Janet CSIRT and do not provide an accurate sample of security activity across the research and education sectors. The figures are frequently more closely correlated to the activity of CSIRT and our detection of events rather than their actual rates of incidence.
For example: a successful investigation by researchers into a botnet will cause that month's malware figures to rise even though the malware may have been active in previous months.
These statistics only relate to information collated by Janet CSIRT and do not provide an accurate sample of security activity across the research and education sectors. The figures are frequently more closely correlated to the activity of CSIRT and our detection of events rather than their actual rates of incidence.
For example: a successful investigation by researchers into a botnet will cause that month's malware figures to rise even though the malware may have been active in previous months.
These statistics only relate to information collated by Janet CSIRT and do not provide an accurate sample of security activity across the research and education sectors. The figures are frequently more closely correlated to the activity of CSIRT and our detection of events rather than their actual rates of incidence.
For example: a successful investigation by researchers into a botnet will cause that month's malware figures to rise even though the malware may have been active in previous months.
These statistics only relate to information collated by Janet CSIRT and do not provide an accurate sample of security activity across the research and education sectors. The figures are frequently more closely correlated to the activity of CSIRT and our detection of events rather than their actual rates of incidence.
For example: a successful investigation by researchers into a botnet will cause that month's malware figures to rise even though the malware may have been active in previous months.
We have observed a regional threat, targeting and attacking the UK academic sector. We have identified them through their attacking behaviours, sources of login activity, and phishing techniques. Here we present the knowledge of their tactics, techniques and procedures (TTPs) observed and how to identify them, to help institutions defend against future attacks.
