Proactive Technique for Securing Smart Cities against Malware Attacks Using Static and Dynamic Analysis

Cloud environment and IOT are the buzzwords in recent times. The smart devices connected with IOT enabled sensors generate a lot of data which is then uploaded on the cloud for further Analysis. The Internet of Things (IOT) is currently shaping our cities to take the form of a Smart City with a lot of connected, convenient, and intelligent systems working together in a collaborative and integrated manner. [1] However, this change brings minute insights into human activities through the ample data that is generated via sensors, devices etc. So, Security remains the major concern over the data collected from the smart devices, IOT sensors, social media, etc. The cyber-attacks which are taking a rise in the day to day digital life poses a major threat to the data generated from the smart city system. One of the security challenges is the malware attack. The malware poses a greater threat to the system which processes enormous critical data thereby resulting in the overall damage of the system with respect to confidentiality of the information. This paper proposes a method which can be used for malware analysis and detection, which in turn will combat the cyber security attack caused due to malware inclusion in the system. The paper focuses on different tools and techniques being used for malware analysis and detection. The approach will be able to safeguard the integrated system using IOT and Cloud with the help of Malware analysis.