Download questions and answers to the unit Ethical Hacking and be a head of others with elaborative answers . Q1. a) Define the following terms as used in Ethical Hacking (5 Marks) i) Hacking - Hacking refers to the unauthorized access or manipulation of computer systems, networks, or data. ii) Ethical Hacking - Ethical Hacking involves the authorized use of hacking techniques to identify and fix vulnerabilities in systems to prevent unauthorized access or data breaches. iii) Ping Sweep - Ping Sweep is a technique used to identify active devices on a network by sending ICMP echo requests (pings) to a range of IP addresses and waiting for responses. iv) Inverse TCP Flag Scanning - Inverse TCP Flag Scanning is a technique used to identify systems that are not vulnerable to certain types of attacks by exploiting the TCP protocol's behavior.

A Data Scientist must find patterns within data. This data must be organized in a standard format in order to find patterns. A Data Scientist analyzes the data, finds patterns, makes future predictions and presents the result with useful insights in a way the company can understand This is done through a Data Science Life Cycle.

Mobile Computing is a technology that allows transmission of data, voice and video via a computer or any other wireless enabled device without having to be connected to a fixed physical link.

A secondary purpose of writing a proposal is to train you in the art of proposal writing as these skills will be useful not only in the world of academia but in all fields.

Rehabilitation is “the idea that punishment can reduce the incidence of crime by taking a form which will improve the individual offender’s character or behaviour and make him or her less likely to reoffend in future”

1.1 Definition of terms There are several terms related to computer Security and Cryptography. In this section, we briefly explain five major terms. 1.11 Computer security Computer Security is the degree to which information systems are protected against destruction, disruption, deletion, unauthorized access and unauthorized changes. The term Cyber Security, Information System Security and System Security can be used interchangeably for purposes of this unit.

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The volume of data that one has to deal has exploded to unimaginable levels in the past decade, and at the same time, the price of data storage has systematically reduced. Private companies and research institutions capture terabytes of data about their users’ interactions, business, social media, and also sensors from devices such as mobile phones and automobiles. The challenge of this era is to make sense of this sea of data. This is where big data analytics comes into picture. Big Data Analytics largely involves collecting data from different sources, merge it in a way that it becomes available to be consumed by analysts and finally deliver data products useful to the organization business. The process of converting large amounts of unstructured raw data, retrieved from different sources to a data product useful for organizations forms the core of Big Data Analytics.

Comprehensive project in Data science for car price prediction.

Comprehensive data science project on credit card fraud detection