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Mobile is a rapidly growing web environment that attracts malware developers around the world. Smart phones, especially android phones are widely used and are the most popular new target for malware attacks. Most common type of malware found to attack android users was an unauthorized app repackaged as a normal app through a third party, unofficial app store. New apps found in the app store are hard to identify as malicious. Our work develops a malware detector and analyzer. This paper also links insights about malware attacks in COVID-19 on mobile devices. To meet the objectives, a model is implemented that extracts the inherent features of android application file and analyzes them for quick and accurate analysis. The model classifies the apps more accurately as benign or malicious.

Internet of Thing has modified the way we work and live in the era of incredible technology development. There are various advantages of Internet of Thing that enriching our organization, it should be provoked that the Internet of Thing also consumes energy, comprises toxic pollution and E-waste. These places new hassle on the environments and smart sphere. The way of increase the profits and reduce the harm of Internet of Thing, there is an increasing craving to move toward green Internet of Thing. The future of IoT is seen in Green Internet of Thing that is environmentally friendly. To achieve that, it is very much important to put various measures to diminish carbon footprint, conserve fewer resources, and promote proficient techniques for energy usage. The main aim of green Internet of Thing, that moving headed to the machines, communications, sensors, clouds, and internet are alongside energy effectiveness and reducing carbon emission. This paper represents a thorough analysis of the contemporary continuing research work and probable technologies of green Internet of Thing with an objective to provide some clues for future green research.

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