INDICATOR BASED CYBER THREATS DETECTION FOR DATA OF SMART CITIES USING BIO-INSPIRED ARTIFICIAL ALGAE ALGORITHM

Smart cities can become attractive targets for large-scale cyber threats and security attacks, which have a wider impact on the entire smart city ecosystem and the smart cities residents. To apply the detection strategy that matches the appropriate detection approaches to risks, resources and examine the activity in environments and compare with the single action and aggregate action against a set of known malicious or suspicious activity. In order to deploy the indicator based threat detection system with AAA algorithm is the quickest form of detection searches and highly effective for scoping an environment post observation and their value is highly dependent on the adversary's rate of change