Genetic Algorithms And Its Applications Of Cyber Security

Genetic engineering is a great thing that can help our society grow in a healthier way. Genetic engineering can prevent deadly diseases in children [babies] before they are born genetic engineering can also be used on fruits and vegetables not just humans and animals.

Adaptations are categorized in three postulates, survival of the fittest, variation, and inheritance. If an animal survives long enough to reproduce, it will pass along its genes that helped it survive to its offspring. Eventually over time, these genes will mutate and most of the species will inherit these adaptations. Charles Darwin coined the term "natural selection" in reference to artificial selection

To check the performance of genetic neural network .Firstly the dataset normalized and divided into groups of training and testing set .Randomly generated the groups by splitting process with specific proportion at each time(50% to 50%,10% to 90%,30% to 70%) to formdifferent training /testing groups.

Artificial selection – a breeder that selects desired traits for a species and then breeds that species to have those traits.

Introduction: - for my research project, I would like to explore about the cyber security measures. Cybersecurity covers the fundamental concepts underlying the construction of secure systems from the hardware to the software to the human computer interface, with the use of cryptography to secure interactions. These concepts are easily augmented with hands-on exercises involving relevant tools and techniques. We have different types of computer related crimes, cybercrimes, computer related offenses, federal approaches defenses. The information resources management has the technical matters for which IT are widely known. Cyber resources and cyber power as well as cyber security. We have spent a lot of time talking about many different high level critical infrastructure protection concepts we have general rule stayed away from cyber security explaining the ins and out of how the NIPP and NRF work together to ensure that we can live our daily live in relative comfort.

In my implementation of fuzzy genetic algorithm ii followed the steps of genetic algorithm so I started with reading the data of KDDCup99 and creating a population, this population was composed of number of individuals which are the records in the KDDCup99 which means that each individual has an array of genes to hold the features of audit records. This was accomplished by first encoding audit record data into binary because some feature such as protocol type has value "TCP". Once i finished creating my initial population I evaluated every individual in the population to calculate its fitness using function below

Sindhuja k, pramelaDevi s,“a symmetric key encryption technique using genetic algorithm key” international journal of computer science and information technologies, vol. 5 (1), 2014.

Many people are familiar with the words natural selection, an idea that was popularized by Darwin in the 19th century; to simply define it, natural selection is nature’s editing mechanism that results in the favoring of some individuals over others when exposed to certain environmental factors. Artificial selection parallels the process of natural selection but with an added twist: the involvement of human beings. Artificial selection is “a process in which humans consciously select for or against particular features in organisms” allowing “only organisms with the desired feature to reproduce or may provide more resources to the organisms with the desired feature” (Artificial Selection, n.d.).

the algorithm comparison between fitness fifth function of De Jong and the number of populations

Evolution is the idea of a living organism adapting or mutating to gain beneficial physiological, psychological and structural features. The genetic makeup of all living things is constantly changing, due to DNA replication errors or outside factors, some of these changes impact drastically on the organism changing it for the better or worse. Typically when an organisms genetic code is changed for the better and it reproduces and outlives its unchanged counterparts this process is called evolution.

Genetic engineering is a very beneficial thing for every human. Some advantages involve individuals health and affect society in general. The lifespan of a human is increased, the extinction of illness in children and babies and healthier foods with a cheaper production cost are all rewarding devices of genetic

Evolution is a change in a population and is usually seen as a slow process, but the pace of evolution can be rapid. In this lab, two of the forces of evolution was tested natural selection and genetic drift. In natural selection, 60 beans were used, 15 of each of 4 different kinds of beans. For genetic drift 48 beans were used, 12 of each of 4 different kinds of beans. The exercises was repeated up to 10 generations. Maintaining the frequency of each variety of the beans from the end of one generation to the start of the next generation the population was rebuilt to 60 beans for the natural selection exercise and 48 beans for the genetic drift. By the end of the 10th generation, changes were seen in both forces of evolution. This shows that

Evolution is theory based on Darwin's theory of natural selection. The theory of natural selection states, “ The process of nature by which … only the organisms best adapted to their environment tend to survive and transmit their genetic characters into increasing numbers to succeeding generations while those

Artificial selection and natural selection are different forms of the same practice that Charles Darwin observed. Artificial selection is when man controls the breeding for a specific trait just like genetic engineering where scientists alter and clone genes to produce a new trait in an organism. At the same time, natural selection is based on environmental conditions. Natural selection is Darwin’s famous theory stating evolutionary changes that occur through the production of variation in each generation. Organisms that are best suited to their environment

Security Officers must obtain a consensus for which mitigating controls are key, which can be a trying negotiation between the CISO, Chief Technology Officer, Cyber Threat Intelligence (CTI), Infrastructure Engineering, Audit and Assurance teams, and the Investment and Audit committees. How do you harness your entire organization to focus on a common agreed-upon list of key security controls?