Developing nations like India have a huge potential for agricultural business and better cultivation. Because of the large size of cultivation land, improper water supply systems and lack of technology-based agricultural practices, there is a huge gap among expected and actual quantity and quality of agricultural products. Hence there is a need for significant revival in agribusiness using emerging technologies. The article proposes an intelligent water framework device called Agribot designed for the agricultural industry to minimize the water wastage and a better supply of cultivating materials using the Internet of Things (IoT). Our proposed IOT-Agribot will energize the water framework, improve the cost-effective water usage and reduce the labor force to achieve precision agriculture. The proposed IOT-Agribot has performed well for variable weather conditions, soli type, moisture content and crops.
To guard ourselves against a word attack or a breach, it is always important to have an awareness of the unremarkably used sorts of attacks. The most common type of attack is password guessing. Hackers can guess the passwords locally or remotely using either manually or through an automated approach. One such attack is Dictionary Attack. A dictionary attack tries to make an authentication mechanism fail by sequentially entering each word in a dictionary as a password or trying to find the decryption key of an encrypted message or document. In this paper, an empirical research on how dictionary attack works are performed. In addition to that, different techniques and approaches to the existing dictionary attacks are implemented to make the system more robust. Furthermore, a comparison of methods is performed to find which approach is better to protect the system.
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