Detection and Prevention Cyber-Attacks for Smart Buildings via Private Cloud Environment

The paper investigate a major challenge of the protection of mutual and transmitted data that exchanged between smart buildings and data centers that works through private cloud computing environment. This challenge faces the operators and officials of private cloud computing and smart building. The paper highlighted a protection system to secure circulation data through a proposed intrusion detection and prevention system IDPS. The IDPS geared and routed to protect software and application on the private cloud. IDPS also provides protection to the private cloud platforms by using a rule set of agents and sensors. Data collected from these sensors are stored in complementary memory that helps to reduce detection time by avoiding the duplicate detection process by helping the IDPS to accept or ignore the alerts from sensors. The proposed IDPS have been implemented and the results of simulation showed that active IDPS works efficiently in the open-source environment. Agents and sensors are working to monitor network events and analyze diverse network packets to detect attack signature. The system contributed to reduce the detection time and increases the service reliability in the private cloud. Keywords: Intrusion Detection Prevention System, Sniffing Suspicious Packets, Data Incubator and Checking System, Private Cloud Computing, VLAN.