This post presents some lines of action that should be followed to deal with a DrDoS cyberattack based on the ARD protocol, describing in detail the prevention, identification and response phases to follow.
In recent years, the concept of machine learning has gained more prominence, mainly driven by advances in parallel computing capacity. More and more developments, applications and programs are using these algorithms to provide systems with greater security, intelligence and independence. However, it’s rarely used in industrial environments, although some recent tests and developments prove its effectiveness, including in the scope of detection and prediction of cyber attacks.
Weaknesses in TCP protocol implementation in middleboxes could provide a means to carry out distributed reflection denial-of-service (DrDoS) attacks against any target.
All organisations must be prepared so that, after the impact of a cyberattack, it may change, improve and adapt its processes and services. For this reason, it is necessary to protect the main business processes using a set of tasks that allow the organisation to evolve after a serious incident to redesign its strategies and minimise the possible impact of future cyberattacks
It is necessary to protect the main business processes through a set of tasks that allow the organisation to recover from a major incident in a timeframe that does not compromise the continuity of its services. This ensures a planned response to any security breach.
This post presents some lines of action that should be followed to deal with a DrDoS cyberattack based on the Memcached protocol, describing in detail the prevention, identification and response phases to follow.