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11 Sep 2019 ... For a Mac user, using the best OCR software for mac is often ... PDF OCR X is a simple drag-and-drop utility that convert scanned PDF to text or ... A third less widely used technique is called speci cation-based detection We now discuss each of these techniques in detail The misuse detection technique involves analyzing the collected data for speci c behavior patterns known to be consistent with speci c attacks These behavior patterns are called signatures For example, a UDP acket destined to port 0 can crash some machines [79] The signature of a ping-of-death attack is a very large ping packet; the signature of an RPC locator attack is a packet intended for port 135 that contains a command that the system is not expecting; the signature of a Bubonic attack is made from various values, such as a TTL of 255, a TOS eld value of 0 C9, exactly 20 byte payload in the IP datagram, and the fragment ID value with consistent increments of 256 [79] The misuse detection technique is being used widely today by commercial systems because it allows for very precise detection of attacks, thereby resulting in low false alarm rates When a signature for an attack has been identi ed (typically a bit-by-bit precise speci cation of an attack packet), it is straightforward to detect the attack by comparing a packet against the precise attack signature The problem with misuse detection intrusion detection techniques is that these techniques can only detect previously known attacks with wellde ned patterns of malicious behavior Novel attacks that have not been seen before cannot be detected until a new signature for the attack is created The anomaly detection technique involves looking for behavior that is outside the normal expected behavior This is usually done by utilizing statistical techniques that compare the observed behavior against the statistics of the expected normal behavior These techniques often utilize thresholds (such as amount of excessive loading of CPU, counts of traf c of speci c type, etc) that if exceeded indicate an attack Therefore, detectors utilizing this technique require prior training so that the thresholds used for detecting abnormal behavior are set at the appropriate values The advantage of anomaly-based detection is that this technique does not require the existence of precise signatures and can therefore be used for detecting attacks not previously seen The disadvantage of anomaly-based detection is that, due to its statistical nature, it is more prone to false positives depending on how the thresholds are set There is always a trade-off between setting very tight thresholds (close to normal behavior), thus triggering a lot of false positives when users deviate even slightly from expected behavior, and setting very loose thresholds that minimize false positives but allow. ocr pdf mac os x free: Tesseract OCR - industry-fastest . Net OCR library online ocr hindi pdf to word How to Remove Metadata from PDF with or without Adobe Acrobat
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Products: PDF SDK for .NET. .Related: In conclusion, the nonaligned approach appears to better re ect the behavior of communication networks and its utilization in edge scheduling is adopted Before edge scheduling is formally de ned, the nonaligned approach must yet be analyzed for heterogeneous links Heterogeneous Links The causality condition must also be obeyed on heterogeneous links, that is, links with different data rates Figure 714(a) illustrates again the scheduling of an edge on three links, whereby link L2 is now twice as fast as the other links (b(L2 ) = 2b(L1 ) = 2b(L3 )) Due to Eq (74) of the causality Condition 72, e cannot nish earlier on L2 than on L1 and therefore the start of e on L2 is delayed accordingly As noted before, this delay seems to suggest a storage between the rst and second link, but in fact it is the best approximation of the real, packet based communication illustrated in Figure 714(b) This explains also why e starts and nishes on L3 at the same times as on L1 , which is in concordance with Eq (75) Another possibility, which seems more intuitive at rst, is to start e on L3 later, namely, at the same time it starts on L2 This would correspond to the seemingly more intuitive ts (e, Lk 1 ) ts (e, Lk ) as the causality equation (75) Then, however, e would nish on L3 later than on L2 and L1 Consequently, this implies that having a faster link between two other links retards the communication This is certainly not realistic and also does not correspond to the packet view in Figure 714(b) Thus, the causality Condition 72 as de ned ensures a realistic scheduling of the edge in this example The next example further emphasizes the importance of inequality (75) of the causality Condition 72 for heterogeneous links Consider the same example as before now with the last link slower than the two others (b(L3 ) = b(L1 )/2 = b(L2 )/4), which is illustrated in Figure 714(c) Without Eq (75), e could start earlier on L3 than on L1 : it only had to nish not earlier than on L2 Evidently, the principle of causality would be violated, because the communication would be active on L3 before it even entered into the network Due to the lower data rate of L3 , the correct behavior, as shown in Figure 714(c), is not implicitly enforced by inequality (74) as in all other examples Note that the communication is not delayed by the contention on L2 , because even without it, e could not start earlier on L3 This is a realistic re ection of the behavior. video slideshow in AVI or WMV format with Image To Video SDK. . 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