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We began a complete forensic investigation into Arch Bank s and eTransfer s systems, and MasterCard. Separate teams of IT experts reviewed them to nd a point of compromise and to pinpoint the date the attack started. Glenn Copeland agreed to fully cooperate with our IT specialists to isolate the security breach. Hours turned into days for everyone involved. We ultimately determined that the only compromise had occurred on eTransfer s end. Arch Bank and MasterCard were completely untouched. We also gured out that eTransfer s system was invaded a few days before the withdrawals began, using malware. Keylogging software was then installed a couple days later to capture the credentials of the system administrator. When transactions were sent to eTransfer for approval, the malware instructed the security system to ignore the account balance elds and the PIN elds; therefore, transactions were being improperly authorized. We later learned that the crooks had been lurking in the eTransfer system since June, apparently waiting for the perfect time to strike. If Glenn had run a program to sweep his system for malware, the hackers would have been discovered in time to prevent the fraud. In the beginning, they were able to capture the administrator login and password, learning from monitoring his activity that he worked every day. Then they were able to penetrate his corporate e-mail activity. From that information, they discovered he was going on vacation starting October 1. They saw their window and went to work getting past the encrypted data, printing cards and formulating a plan of attack. They had the perfect storm of opportunity that they had been waiting for.

Note: results include a deduction of $100 per round-turn trade for slippage on daily time frame and $75 per round-turn for shorter time frames. Data source: CQG, Inc.

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// Creating a BytesMessage object byte[] data; // data from a network data packet BytesMessage msg = session.createBytesMessage(); msg.writeBytes(data); // Reading the BytesMessage byte[] msgData = new byte[256]; int bytesRead = msg.readBytes(msgData);

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In this case, Ex0 ex Ey0 ey can be considered as a vector that does not change in direction with time or propagation distance. Circular polarization is obtained when 0 p=2; and E0 Ex0 Ey0 . Then, we get E E0 cos kz wt ex E0 sin kz wt ey 3:7-12

To show that the BPM is suf ciently accurate for simulation, the wave intensities in two different directional coupler structures were computed with the BPM and compared with the analytical results obtained from the coupled mode theory [Pojanasomboon, Ersoy, 2001]. According to Eqs. (12.5-4) and (12.5-5), the analytical results for the case of zero initial intensity in wave guide 2 A2 0 can be expressed as " # 2 b 2 2 sin2 gz 12:5-7 ja1 z j jA1 j cos2 gz 2g " # jC21 j 2 2 2 2 sin gz 12:5-8 ja2 z j jA1 j g where b b1 b2 ; p C C12 C21 2 b g C2 2

Imitation is like perception. We do it automatically without having to think about it. To us it seems easy. It is only when we try to make a machine do it that we realize how dif cult imitation is. When I see you move your arm, I simply make the same movements. Your arm movement produces a changing pattern of light on my retina that is interpreted by my brain. But how does my brain manage to translate a series of changing visual patterns into a series of muscle commands that will produce the same movement in my arm For one thing, I can t see which muscles are involved. Furthermore, if I am imitating a child, I will have

Stored procedures have parameters, but they can be slightly different from Java's. Java only supports parameters that are read only. You can pass information in, but you can't use the parameters to pass information out. Stored procedures in SQL are different. Three different forms of parameters exist: IN: This parameter is used to pass information into the procedure. This parameter is treated as read only and cannot be changed. OUT: This parameter takes no values when called, but can be read after the call returns. It is used a bit like return types in Java, but you can have many of them to returns lots of different information. INOUT: This parameter combines the functionalities of IN and OUT. You can set the values during the call, but they may change and hold new information on the way out. Because each of these parameter types works differently, you need to match each parameter in the string you've passed to JDBC with the appropriate parameter type. When you pass the information to JDBC in the prepareCall() method call, JDBC has no knowledge of the actual script. You must tell JDBC what to expect. Nominating parameters in callable statements are treated with a similar fashion to prepared statements. IN parameters use the same setX methods that you use in prepared statements to set wildcard values in SQL. OUT parameters need to be registered with a registerOutX method. INOUT parameters combine the IN and 140

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Listing 5.9 StockReport servlet. (continued)

Regarding the perfect trader syndrome or the tendency to fine-tune entry points, we must remind ourselves that the strength of these systems is their high winning percentages As a result, the filtering out of the majority of trades to minimize risk and increase reward will: Always reduce an already small number of trading opportunities Almost always worsen our win/loss ratio Usually transform moderately successful and robust systems into losers Gain and Maintain the Discipline to Exit with Losses It is extremely satisfying to buy low and sell high, and we all like to be right more often than we are wrong Yet without the discipline to exit with losses when dictated by our system, one bad trade will end our career as a speculator.