This definition implies that you have to know the information and the value of that information in order to develop protective measures. You also need to know to which individuals need unique identities and how much information may be divulged to the outside world. A rough classification of prot...
A classification of the event severity or type. For security audit events these are either of type Success Audit or Failure Audit. Source The application that logged the event. This can either be an actual program, like SQL Server, a driver name, or a component of the system, like Securit...
The DBIR study (Data Breach Investigations Report) made in 2014 by Verizon revealed following the “autopsy” of 855 incidents, 92% of attacks were less complex, 79% were opportunistic targets and that 97% of successful offenses would been prevented if the victim had implemented basic controls. ...
Current Selections Topic: Network security Sort by: Newest to oldest Clear selections Sort by Relevance Newest to oldest Oldest to newest Nothing found Sorry, but nothing matched your search terms. Please try again with some different keywords. Get started with Microsoft Security Microsoft is a lead...
[2023/10] Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks [2023/09] AgentBench: Evaluating LLMs as Agents [2023/08] Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models' Alignment [2023/07] A Comprehensive Overview of Large Language...
message frame is a response to an RPM request, then this is important contextual information and the decision engine needs to weigh this accordingly. If a function contains multiple CAN variables that are not related to the CAN message then the classification of the message by this function is ...
Though it is easier said than done, I feel that a good security anomaly detection system would have been able to flag this off, considering the sequence of events revealed by this report – pre and post exploit. Also, I am curious to know what were the Intrusion and Anomaly detection ...
There are many threats that businesses may not be aware of, one of which was highlighted by a recent YouGov survey. Throughout a large part of the pandemic, schools have been closed and children have been home schooled. The survey revealed a quarter of UK workers have allowed their children...
Classification algorithms were used to differentiate between attackers and engineers, which was done at two different client-server separation stages to differentiate between outside and inside traffic. Overall, the purpose of this implementation lays more in the possibility to classify traffic than the ...
Machine learning methods that build on classification trees have proved very effective in criminal justice classification and forecasting applications. Of those, random forecasts has been by far the most popular. We consider now random forests, but will provide a brief discussion of two other tree-ba...