time, 60.68, 40.94, 40.9, and 41.85 seconds for decryption time, 8.1, 10.92, 15.2 and 5.17 mb for memory used when hiding data, 5.3, 1.95 and 17.18 mb for memory used when extracting data, 0.93, 1.04, 1.36 and 3.76 mb for bandwidth used, 75.75, 36.2, 36.9 and 37.45
The pervasive utilization of information Technology devices is in crescendo and taking dynamic shift as the day goes by. This started from using computer system for storing of data, communication and transfer of data and now to the use of computer for online marketing and transaction and remote monitoring of device. With computer and mobile devices now people and sell and promote their services at ease on just a click over the internet. And in recent times the availability of strong wired and wireless network connectivity has led to the idea of internet of things. This idea makes possible for human to machine interaction and machine to machine interaction. This development has promised better and easy life even though with some consequences. It provides smart education allowing student learn from anywhere at any time, smart city, smart homes and e-health. This research focuses on exploring the diverse opportunity provided by the IOT and Digital economy for national development. Considering the present outright and outbreak of Covid-19 pandemic, the effective utilization of these techniques can lead to a boost in economy and un-interruptive and smooth running of government, industries educational institution in the face of natural disaster, compared to the gross damaged in economy, industry and educational institution caused by the Covid-19 pandemic.
Reducing the risk pose by phishers and other cybercriminals in the cyber space requires a robust and automatic means of detecting phishing websites, since the culprits are constantly coming up with new techniques of achieving their goals almost on daily basis. Phishers are constantly evolving the methods they used for luring user to revealing their sensitive information. Many methods have been proposed in past for phishing detection. But the quest for better solution is still on. This research covers the development of phishing website model based on different algorithms with different set of features in order to investigate the most significant features in the dataset.
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