WEBDEVELOPMENT Study Guide - Quiz Guide: Kali Linux, Owasp, Web Application

6 views25 pages

koukuntlakomalreddy3

15 Sep 2021

School

National Institute of Technology - NIT Manipur

Department

Design

Course

WEBDEVELOPMENT

Professor

For unlimited access to Study Guides, a Grade+ subscription is required.

Document Summary

9:57 am here kali linux acts as a client and owasp as server. Owasp should never be connected to internet as hackers may know you are connected to internet and they may hack your computer. To be careful we can click on file and then move on to host network manager to do necessary changes. We have to make sure that owasp and kali linux are in same network. So we can see that the two address in green are in same network. If config or ip a can also be used to get the same details. So we can see that there are lot many projects but we are now only interested in bwapp. We are not able to see much details under console. Try to see the page source scripts other pages input tags. Now we will past the font color white tony shark.

Related Questions

2.Conclusion:

What have you learned from your study?

Interpret your data/ results:

Do your results support of disprove your hypothesis?

Compare and contrast your result with those of previous research.

Significance of the results: âBig Pictureâ

What is the global impact of your results?

What questions remain unanswered?

What kinds of experiments can come out of your study?

i have lab for biology and i need help with the Lab Report

the lab name is Bacterial Transformation Lab

1. Introduction:

Introduce the background and the nature of the problem your experiment is investigating.

Summarize the current knowledge of your subject.

Use examples of other research that have examined the same or a similar topic as your experiments.

Ending your introduction:

State your hypothesis

State your predictions

Give a brief statement about how you tested your hypothesis.

please help me with it is important for my lab class tomorrow

that is the lab i put the info please help me for the intro and for number 2 please be clear please

i would be happy if you help me it is due tommorrow i realy need your help on the intro and number 2 please be clear and show clear work hope you do it because it is due tomorrow

Bacterial Transformation Lab

Genetic engineering is one of the newest applications of basic knowledge in biology. It involves the isolation of specific genes from one organism and the insertion of those genes into a second organism of the same, or even different, species. Remember that a gene is a piece of DNA which codes for a product, usually a protein, which gives an organism a particular trait. The development of these techniques has generated considerable excitement and answered many questions, but it has also raised questions. Many scientists and others see genetic engineering as offering opportunities to make life better, for example, by exploring how genes are regulated, by curing diseases of genetic origin, by adding desirable traits to agricultural crops such as the ability to fix nitrogen in corn and pest resistance in cotton, and by genetically altering bacteria with genes enabling them to digest oil spills.

For almost 100 years, it has been possible to isolate DNA from cells, but only in the last 40 years or so has its function been understood. Your textbook discusses the work of such investigators as Fred Griffith and Oswald Avery, who demonstrated that if DNA was isolated from a pneumonia-causing strain of bacteria and added to cultures of nonvirulent bacteria, the recipient cells were transformed into virulent types that caused pneumonia. These transformation experiments were the first to show that genes could be artificially transferred in the laboratory. Since the time of those experiments (Avery's work was done in the 1940s), our knowledge of gene structure, function and control has increased astronomically. The application of this knowledge has created the field of genetic engineering.

Modern genetic engineering techniques depend on three critical factors:

A suitable host organism in which to insert the foreign gene;

A vector to carry foreign genes into the host; and

A means of isolating the host cells that have taken up the foreign gene.

The host organism

The most commonly used host organism is the gut bacterium Escherichia coli (E. coli). Its chromosome is a single large circular DNA molecule, called the genomic DNA, containing about 4 x 10⁶ base pairs. Not every cell will take up foreign DNA when exposed to it, but E. coli grows rapidly, dividing in less than 20 minutes, so that a single cell can give rise to a billion genetically identical descendants in a matter of 10 hours. Thus, a few transformed cells can provide a large number of offspring within a day. The strain we are using is K-12.

The vector

A vector is a DNA molecule used as a vehicle to carry genes from one organism to another. This DNA molecule can be modified by gene-splicing techniques using restriction enzymes and ligases so that it carries the genes of interest (essentially a cut-and-paste operation). Sometimes viruses are used as vectors, but for E. coli, plasmids are often used. A plasmid is a small circular DNA molecule containing 1000 to 200,000 base pairs. Plasmids exist naturally in many strains of E. coli and other bacteria. Plasmids replicate as the cell grows, independent of replication of the genomic DNA. These plasmids are transmitted to each of the product cells during cell division. Plasmids carrying genetic information that is beneficial to the host cell are maintained in a given population by natural selection. Plasmids frequently carry genes that confer antibiotic resistance, an obvious benefit.

When E. coli cells are exposed to plasmids or any other foreign DNA, some of the cells, called competent cells, will take up the DNA. We can induce cells to become competent by treating them with divalent cations, such as Ca⁺⁺, followed by a brief exposure to high temperature, called a heat shock treatment. Exactly how this treatment causes cells to become competent is not understood, but it is described as making the membranes "leaky" so that large DNA molecules (like plasmids), which would not normally pass through the cell membrane, can enter the cell. This treatment does not make all cells competent, but it greatly increases the number of competent cells. Once in a cell, the plasmids replicate and are passed to the product cells during cell division.

The selective medium

The last requirement for genetic engineering is a means of isolating host cells that have taken up the gene of interest. The techniques used depend on the growth requirements of the host organism. For example, each species of bacteria has particular nutrient requirements. The composition of the growth medium (agar or broth) can be modified to allow growth of only certain bacteria -- for example, by adding or removing nutrients or other chemicals from the medium mixture. This modified medium is called a selective medium, because it selects for the growth of only some species. By introducing an antibiotic such as ampicillin into the medium in which the bacteria are grown, you will select for growth of only those bacteria carrying the antibiotic-resistance gene on newly acquired plasmids. In a matter of days, billions of antibiotic-resistant cells, all with the plasmid, can be grown.

Genetic engineers use a modification of this technique to insert a foreign gene into E. coli. In simplified terms, the plasmid (already carrying an ampicillin resistance gene) is modified by inserting the gene of interest. The gene of interest has been isolated from another source; for example, the gene for human insulin has been isolated from the human genome. The modified plasmid, carrying the inserted gene, is then mixed with competent E. coli and the bacteria are placed in a medium containing ampicillin. Only those cells that have the plasmid will grow in the medium, and they are also the cells carrying the insulin gene (in their plasmids). These selected cells can now be used to manufacture insulin, which can be used for insulin therapy by diabetics.

The genes

In the following experiment, you will insert a plasmid into E. coli. The plasmid you will use carries the gene bla, which codes for a protein (beta-lactamase) that is secreted by the bacteria, inactivating the ampicillin in the agar and allowing for bacterial growth. The plasmid also carries an indicator gene. The indicator gene we are using was isolated from a bioluminescent jellyfish, Aequorea victoria. It codes for Green Fluorescent Protein (GFP).

The GFP gene has been modified to include a regulator system that can be used to control the expression of the gene. Gene expression in all organisms is carefully regulated to allow for adaptation to differing conditions and to prevent wasteful overproduction of unneeded proteins. The genes involved in the breakdown of different food sources are good examples of highly regulated genes. For example, the sugar arabinose is both an energy source and a carbon source for bacteria. The bacterial genes that make digestive enzymes to break down arabinose for food are not expressed when arabinose is not in the environment. But, when arabinose is present, these genes are turned on. When the arabinose runs out, the genes are turned off.

Arabinose initiates transcription of these genes by promoting the binding of RNA polymerase. In the genetically engineered pGLO DNA, some of the genes involved in the breakdown of arabinose have been replaced by the jellyfish gene GFP. When bacteria with this plasmid are grown in the presence of arabinose, the GFP gene is turned on and the bacteria glow green in UV light. When arabinose is absent form the growth medium, the GFP gene remains turned off and the colonies appear white. This is an example of the central molecular framework of biology in action: DNA ? RNA ? protein ? trait.

In summary, you will render E. coli cells competent to take up plasmid DNA. The plasmid carries two identifiable phenotypic markers:

The beta-lactamase or bla gene codes for resistance to the antibiotic ampicillin. We will use this to select for bacteria that have taken up the plasmid.

The pGLO gene codes for Green Fluorescent Protein (GFP), which is switched âONâ if arabinose is present.

Safety Procedure

For your own safety and the safety of others, it is essential that you follow all instructions about handling bacteria and disposal of materials. When you finish work for the day, swab your table with disinfectant. WASH YOUR HANDS thoroughly with soap before leaving the lab for any reason, and at the end of the day after you have cleaned your table. Report any spills to your instructor.

List of Materials

Prepared agar plates (2 LB, 2 LB/amp, 1 LB/amp/ara)

Transformation solution (50 mM CaCl₂, pH 7.4)

LB broth

1 pack of inoculation loops

Sterile transfer pipets

1 foam microtube holder w/ tubes

E. coli starter plate

1 red biohazard bag for loop disposal (common use â Loops/pipets only - NO PAPER!!!)

beigefox320

Hello, could I get some assistance summarizing this article for a discussion:

Read the articles and discuss the problems of Economic Inequality in the U.S.economy, summarize key points and post in the Discussions area:

Competition police crossing continents

Competition authorities are increasingly reaching beyond their country's borders

Feb 22^nd, 2014

WHEN TWO AMERICAN presidents, Theodore Roosevelt and William Howard Taft, embarked on a trustbusting mission a century ago, they were taking government into a new policy area: competition. Industrialization was still relatively new, and any monopolies that had emerged, such as the British and Dutch East India companies, had been created by governments.

The robber-baron companies of the late 19th century were accused of using their industrial muscle to drive competitors out of business. Private monopolies, the argument ran, diminished the benefits of capitalism; by definition, the existence of a monopoly made it impossible for a free market to operate.

Since then, governments have generally had some kind of competition policy, though not necessarily a coherent one. Politicians have tried to juggle several different priorities, among them putting the government in control of "strategic" industries (a category that has always included defense but often also a range of other industries, from airlines to car manufacturing, power generation, and telecoms); shielding domestic businesses from foreign ownership or competition, and protecting consumers from price-gouging.

In the past two decades, a new concern has emerged: that monopolies may be restricting innovation. The technology industry seems to have been particularly prone to creating near-monopolies, from Microsoft in software to Amazon in retailing and Google in an internet search. This is due to network effects. Consumers gravitate to the dominant technology, either because it offers more products or because many of their friends are already using the network concerned. These monopolists, it is feared, will be slow to introduce new technologies that might cannibalize their existing business; and they will be so entrenched that new competitors will find it hard to get a foothold.

Microsoft bundled its Internet Explorer browser with its dominant Windows operating software on personal computers. America's Department of Justice saw this as an attempt to force Netscape, a rival browser, out of the market. In a long court case that began in 1998, Microsoft was initially ordered to break itself in two. This ruling was overturned on appeal and a less onerous settlement was arrived at.

At the time many commentators felt that the authorities had overreached themselves. Internet Explorer was provided free of charge, so it was hard to see how consumers were being harmed. But this is a tricky area. On the one hand, rapid technological change can cause once-dominant companies to lose their position very quickly if they do not adapt; look at Nokia's and BlackBerry's mobile-phone businesses. Some argue that if the market is capable of such adjustment, governments should not get involved. The fact that some consumers make the wrong decision some of the time is not the basis for intervention, as long as all consumers are not being ripped off, says Simon Bishop of RBB Economics, a consultancy. On the other hand, such rapid change makes it hard to tell whether monopoly positions are being exploited, or whether a more competitive market would have produced more innovations.

Competition authorities have also had to rethink their role in cross-border deals. If one multinational takes over another, that might not create a monopoly in the country where the two groups have their headquarters, but it could do so in another country. A proposal for a merger between General Electric and Honeywell, announced in October 2000, was cleared by America's Department of Justice but blocked by the European Commission the following year. That objection appeared to herald a new era of transatlantic takeover disputes; in fact, it remains the only deal so far to have been cleared in America but blocked on the other side of the Atlantic.

However, there have been other instances of transatlantic disputes. In 2009 the European Commission imposed a 1.06 billion ($1.4 billion) fine on Intel, a chipmaker, after a complaint brought by an American rival, AMD. The ruling seemed to suggest that multinationals faced the prospect of double jeopardy because of inconsistent international rules.

We do it our way

There are some philosophical differences between Europe and America. Europe has a long tradition of state ownership of industry; even after privatization, many such companies retain dominant positions, at least in their national markets. In America, by contrast, market leaders have got there the hard way, by having superior technology or being more efficient. In Europe competition policy tends to be rules-based, with the European Commission issuing guidance for future mergers to follow; in America merger decisions tend to be hammered out in the courts, establishing legal precedent.

But multinationals also have to deal with competition policy in emerging markets. China is a particular challenge. The Chinese use competition policy to achieve other ends to keep out foreign firms or attack existing foreign businesses says, one expert. Latin American countries have tended to adopt the American model of competition policy, whereas eastern Europe has followed the example. Merger authorities from different countries have set up the International Competition Network to share the experience. Such efforts may reduce the double-jeopardy problems in international mergers, if only because rules may be applied more consistently.

In the longer term, the question is whether national competition policies will prove adaptable enough to cope with a globalized economy. It may make economic sense for global companies to exploit economies of scale and bring down prices for consumers, but national governments may be reluctant to accept the loss of control involved. In air travel, for example, fares have been reduced under pressure from low-cost airlines, but these newcomers are still being held back by policies that favor flagship carriers. If regulators in rich countries were to prove more zealous than their counterparts in emerging markets in restricting the size of multinationals, Western firms might be put at a competitive disadvantage.

New concerns for competition authorities are emerging all the time. Chris Walters, the acting chief economist of Britain's Office of Fair Trading (OFT), cites the practice of pay-for-delay, whereby a firm that holds a drug patent pays a generic manufacturer not to launch a rival drug to preserve the patent-holders monopoly profits. And David Currie, the chairman of the Competition and Markets Authority (which will take over from the OFT in April), recently pointed to a vast new potential problem, which he described as the growing collection, processing, and use of consumer-transaction data for commercial ends. This is proving an increasingly important source of competitive advantage; we need to be alert to the possibility that it will be an increasing source of consumer detriment.

aquamarinemoose208

What do you believe is the ultimate impact of technology on job creation? Should there be curbs to the pace of modernization?

(Answer in a paragraph(around 200 words))

What Econ 101 Can Teach Us About Artificial Intelligence

Here's why advancing technology often leads to more jobs for humans, not fewer

A Tesla Model X 75D semi-autonomous electric vehicle is parked at the Governor's Mansion in Olympia, Wash., this year. Goldman Sachs predicts that 25 years from now, driver employment will be growing by 300,000 less per year because of autonomous vehicles.

By Greg Ip

Aug 9, 2017

The first chart you draw in Economics 101 is the downward-sloping demand curve. It shows that when the price of something drops, people consume more of it.

This elementary rule of economics is remarkably helpful in discussing the effects of technological change. As I wrote last week, when technology makes something cheaper, we consume more of it, often by finding new uses. This lesson repeats through history: When coal-fueled steam power became more efficient in the 1800s, demand for steam power and coal spread. When automated teller machines made it cheaper to operate bank branches in the 1980s, banks opened more branches.

My column cites spreadsheet programs like Lotus 1-2-3, whose arrival in the early 1980s made repetitive recalculation vastly simpler and faster. This reduced demand for bookkeepers but created more demand for people who could run numbers in new and interesting ways, such as accountants and management consultants.

In a recent article for the Harvard Business Review, Ajay Agrawal, Joshua Gans and Avi Goldfarb, economists at the University of Toronto who study artificial intelligence, say that in the 1990s, economists didnât buy into the hype that the internet and the World Wide Web would upend everything:

âIt wasnât that we didnât recognize that something changed. It was that we recognized that the old economics lens remained useful for looking at the changes taking place. The economics of the âNew Economyâ could be described at a high level: Digital technology would cause a reduction in the cost of search and communication. This would lead to more search, more communication, and more activities that go together with search and communication. Thatâs essentially what happened.â

They apply that lesson to artificial intelligence and more specifically to machine learning, the use of powerful algorithms to make predictions from patterns in large quantities of data. Machine learning, they say, means many problems will be reframed as prediction problems. Autonomous driving no longer involves programming the car to respond in a certain way to a variety of controlled scenarios, but instead, to watch what humans actually do and then respond the same way.

How does this affect jobs? The authors says it depends on whether the technology competes with or complements what you do. Spreadsheets competed with what bookkeepers do (record keeping and calculation) and thus made them less valuable, but complemented what accountants and consultants do (analysis), and made them more valuable.

Mssrs. Agrawal, Gans and Goldfarb say that AI reduces the value of those who predict things for a living, such as whether a mark on an X-ray is a tumor, but it raises the value of those who use predictions to make judgments:

âWhen prediction is cheap, diagnosis will be more frequent and convenient, and thus weâll detect many more early-stage, treatable conditions. This will mean more decisions will be made about

medical treatment, which means greater demand for the application of ethics, and for emotional support, which are provided by humans.â

So AI will create winners and losers within and among industries and occupations. But what will the net effect be? More jobs or less, and for whom? This isnât knowable, but history suggests that while a specific occupation or industry may suffer losses, the aggregate effects will be positive. The growth in accounting and analytical jobs since the early 1980s is much larger than the loss of bookkeeping jobs.

Nor did all those bookkeepers necessarily lose jobs; many probably became accountants or analysts. As Mr. Gans told me, bookkeepers may have been best placed to exploit the capabilities of spreadsheets: âIf you were doing calculations all day as a bookkeeper, chances are you thought a bit about why you are doing that. When you got a spreadsheet, rather than doing one calculation per day you could do 10 to 50, so you had a better sense of what the [calculations] might say.â

Some readers said AI is a much bigger threat than spreadsheets because it has so many more potential applicationsâand they displace uniquely human abilities. I agree with the first part, less so with the second. I suspect workers in previous eras, whether they drove a horse and plow, handled a stock trade or connected a phone call, thought there was something about their job that a machine could never replace.

Will the disruptions this time around be greater? Maybe, but not necessarily. Goldman Sachs predicts that 25 years from now, driver employment will be growing by 300,000 less per year because of autonomous vehicles. Thatâs 25,000 jobs per month to make up, compared with the 5,000 per month that the decline in bookkeeping since 1985 represents. But itâs hardly insurmountable in a labor market where five million jobs are created and destroyed each month.

Others said I was ignoring the potential for rogue algorithms and robots to turn on us or strip us of our freedom.

The experts, of which I am not one, tell me AI is nowhere near that capability. (Before the robots can kill us they must first stop killing themselves.) And donât assume spreadsheets have been all benign. Excel may not have slain anyone Terminator-style, but it did help wound J.P. Morgan through its role in the âLondon Whaleâ trading disaster.

Which brings me to the final point. We should not confuse what technology enables us to do with how much better off it makes us. Spreadsheets enabled analysts to construct much more intricate forecasts of stock prices and the economy, but didnât make those forecasts any more accurate. AI may enable companies to better manage the risks of their products and actions, but those products and actions may not be more profitable. Many a CEO has wondered whether the money they spend on spreadsheet-wielding consultants yields any real value. Some day they may wonder the same thing about their AI-wielding consultants.

WEBDEVELOPMENT Study Guide - Quiz Guide: Kali Linux, Owasp, Web Application

Document Summary

Get access

Related Documents

WEBDEVELOPMENT Lecture Notes - Lecture 25: Kali Linux, Nmap, Brute-Force Attack

NET 4000 Chapter Notes - Chapter 4.1.2: Runlevel, Graphical User Interface, Desktop Environment

MIST 4610 Lecture Notes - Lecture 1: Communications Protocol, Web Browser, Email Client

Related Questions