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The most common and most obvious errors related to random numbers occur when a statistical PRNG is used in a situation that demands the highly unpredictable values produced by a cryptographic PRNG Another error occurs when a PRNG is seeded with insuf cient entropy, causing the resulting stream of numbers to be predictable In both cases, the PRNG will produce a predictable stream of values that an attacker can guess and potentially compromise the security of the program The rest of the section addresses how to avoid these errors Generating Random Numbers in Java Consider the code in Example 115, which uses a statistical PRNG to create a coupon code for use on an e-commerce site This code uses RandomnextInt() to generate unique coupon code values, but because RandomnextInt() is a statistical PRNG, it is easy for an attacker to guess the values it generates The situation is made even worse because the PRNG is seeded with the current time, which could be predictable to an attacker



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Aug 1, 2018 · Hi,. The Officejet Pro 8600 do have OCR integrated within the HP Scan Software for your product. From the following document select the How to scan with HP ...

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String generateCouponCode(String couponBase) { Random ranGen = new Random(); ranGensetSeed((new Date())getTime()); return(couponBase + GennextInt(400000000)); }

In this section we discuss the performance of RMI and ways to improve it In order to introduce the topic, we start by asking two questions about RMI: is it efficient, and is it scalable We don't answer these questions We just provide some information with which you can make your own judgement, or, better still, construct your own tests We then provide some tuning tips gathered from our own experience and other sources 1861 Resource conservation in RMI RMI attempts to conserve four relatively expensive resources:





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Choosing a Transaction Protocol OleTx or WS-AT Transaction managers are responsible for coordinating work among multiple parties and committing work through resource managers Resource managers are responsible for reliable, persistent storage Depending on the resources used and the service or application boundaries crossed, WCF will use one of three transaction managers to implement transactions The Lightweight Transaction Manager (LTM) is used for managing resources within one application domain The Kernel Transaction Manager (KTM), available only on Vista and Windows Server 2008, is used for managing the

In Java, use the cryptographic PRNG javasecuritySecureRandom As is the case with other algorithm-based classes in javasecurity, SecureRandom provides an implementation-independent wrapper around a particular set of algorithms When you request an instance of a SecureRandom object using SecureRandomgetInstance(), you can request a speci c implementation of the algorithm If the algorithm is available, it is given as a SecureRandom object If not, the function throws a NoSuchAlgorithmException If you do not specify a particular implementation, you are given the default SecureRandom implementation on the system

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SimpleOCR is the popular freeware OCR software with hundreds of thousands of users worldwide. SimpleOCR is also a royalty-free OCR SDK for developers to ...

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The default implementation and preferred sources of entropy for seeding it are de ned in the javasecurity le under lib/security in the JRE installation directory Out of the box, the con guration le speci es the sunsecurityproviderSun implementation of SecureRandom based on the SHA1PRNG algorithm The default con guration seeds itself from a system device under Linux and UNIX, and from the Microsoft CryptoAPI on Microsoft platforms If the preferred source of entropy fails, the default SecureRandom implementation reverts to a proprietary algorithm for collecting entropy from system and process information (refer to the sidebar titled Entropy for more on gathering entropy) The default algorithm and sources of entropy used by SecureRandom are good choices for most software applications, and users should rarely need to provide their own seed Because the initial entropy used to seed the PRNG is integral to the randomness of all the values it generates, it is critical that this initial seed provide a suf cient amount of entropy Example 116 demonstrates how the code from Example 115 can be rewritten to correctly use SecureRandom with a default seed value

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