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malicious-url-detection-using-machine-learning

In today’s world, there is a rapid advancement in technology. With the advancement of technology, there is a similar development in the Internet. Internet involvement in social and business fields is increasing in large scale. The increasing use of the internet for such purposes increases the scope for cyber-criminal activities. As the connectivity and the number of users grow, there is a proportional increase in attackers. The Government, industry and individuals are the victims. It is a difficult task to predict the future threats and their nature, and practically unsolvable. Malware or malicious websites become one of the major threats for cyber security. Whereas malicious URLs, in particular, becomes a serious threat of cyber security. Malicious URL is a common and serious threat to cyber-security. Malicious URLs host content abnormalities, such as spamming, phishing attacks, exploiting users, etc. They allow unsuspected users as victims of attacks by drivers

physicswallah_task2

Divide the screen into 2 parts by using fragments. Fragment 1: Will contain a list of labels added/modified by fragment 2 and will support following actions: i) Delete single/multiple items by marking the checkbox( in the list item) and pressing the delete button from fragment 2. ii) New item should get added to the bottom of the list and the list should scroll down to that item. Fragment 2: Will support two actions : 1) Add a new item with Name. 2) Delete an item selected in fragment 1. Please see below for reference

scoreapp

task1

a) From the API, display the list of facilities and its options by creating a UI, so that users can select any one option from each facility. Display name and icon. For Example, i) Property Type : Apartment, Condo, Boat House, Land- User can select only one among this b) Add the exclusion list by extending the above UI, so that users aren't able to select from the exclusion combinations. For example, users can’t select these options together. Ex. 1 : Property Type : Land, Number of Rooms: 1 to 3 rooms. Ex. 2 : Property Type : Boat House, Other Facilities : Garage API Url : https://my-json-server.typicode.com/ricky1550/pariksha/db Type : GET Expectations : - Highly scalable code - Focus on code quality and architecture. MVVM is preferred. - Free to use any third party library, and justify your options