Study on Host-based Security System Advancement in ICT-Enabled Smart Cities
Laith Fouad, Naseer Ali Hussien, Ahmed Hussian, Adil Abbas Alwan, Saad Qasim Abbas, Ismail Abdulaziz · 2023
Modern ICTs (Information and Communication Technology) are used in Smart Cities (SC) to boost productivity, share data with other users, deliver better federal programs, and improve customer satisfaction. Most technological schemas and operational information are readily available and can be used to expand the reach of civic intelligence. Security and privacy concerns, however, remain a major obstacle when faced with the difficulties of meeting security standards. 5G-enabled technologies, self-driving cars, and the proliferation of communication equipment increase the opportunities for malicious actors to launch attacks. Host-level security tools are known as Host Security (HS). Modern technology used in smart cities meets residents' requirements and solves urban problems. An intelligent city achieves many things and gives its residents a voice. With host-based protection, it is feasible to escape the battle of security upgrades, allowing IT executives to focus on the most important changes. For the smart city against cyber-attacks protection, this article employs ICT enabled Smart City based Host security (ICT-SC-HS). A single infected machine could destroy the enterprise's systems without host-based protection. A network security application installed on a computer or networked device is a host-based barrier. Using these firewalls can control the transmission of dangerous infestations across the network. Individual hosts may be safeguarded from viruses and malware. A host-based firewall, which is installed on each server, decides its accessibility to a certain device and also monitors and regulates inbound and outbound traffic. Hence, compared with existing research, the proposed article presents malware detection in different attacks as 72.1%, evaluation of host networks as 69.7%, absolute errors of security analysis as 82.8%, probability of network as 75.4%, and accuracy as 67.2%.