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OSPF is vulnerable to the insertion of spurious data, either maliciously or inadvertently. Authentication is one mechanism often used to protect against the insertion of invalid data into OSPF. OSPF provides three states of authentication: none, simple authentication and MD5 authentication. It is required, if you con gure authentication, that you con gure the same authentication method throughout a single area. It is also required in RFC 2328 that authentication be con gurable on a per-interface basis. If you cannot con gure different authentication mechanisms on a per-interface basis, then it follows that the same authentication type must be con gured throughout the entire autonomous system. None. As the name suggests in this mode, OSPF exchanges are actually not authenticated at all. This is generally the default con guration of OSPF implementations. It provides no protection whatsoever. Simple password authentication. OSPF provides the ability to use a clear text password. Both neighbours must use an identical clear text password in order for the neighbour relationship to be fully established. Since the key is passed in the clear with every authenticated packet, it is a relatively simple matter to snoop the key and inject spurious routing updates. Therefore, this is not a mechanism which would be recommended for a large network. MD5 authentication. OSPF is able to use MD5 authentication mechanisms. Each neighbour must have the same MD5 key for any exchange of OSPF packets to occur. A

1 (const)2m m1 exp m1 2 , 2 using the usual Stirling s formula and the choice m = 1/m . If 0 < < 1 , this 2 shows that I1 /2m goes to zero faster that any power of m. Equivalent for I2 . This is ner than the bound for I1 . For the conditional expectation, we use the computation of the absolute value of the determinant as the volume of the parallelotope generated by the columns. Based on the invariance of the standard normal distribution under the isometries of the underlying Euclidean space and using an expression similar to the one used to obtain the bound for I1 , we see that in (12.12) can be written as = (1 s, t 2 )(m 1)/2 E( m 2 )

2:05 0:47 0:04 0.39 1.25

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different prior to that phenomenon much less quantitative, much more narrative Much less theoretical, much more descriptive Or, to borrow from orthodox academicism-speak, much less rigorous, much more unscienti c Most of the articles in the Journal of Finance (the eld s leading academic publication, founded in 1946) had to do with Federal Reserve policy, the impact of money on prices and business activity, taxation, and issues related to corporate nance, insurance, and accounting In issues up to 1959 no more than ve articles could be classi ed as theoretical rather than descriptive The rest contain plenty of numbers but no mathematics The year 1959 may in fact be seen as the high-water mark for the nontheoretical, descriptive (down to earth ) period of business nance in particular and business academics in general.

, 2003) is that truth tellers and liars have much in common She points out that, for example, truth tellers may also experience emotions and cognitive load, or may try to control themselves, and that this may also in uence truth tellers behaviour Thus, guilty (deceptive) suspects may be afraid of not being believed during their police interviews, but so will innocent (truth telling) suspects, because they too could face negative consequences if they are not be believed (Ofshe & Leo, 1997) Because of that fear, they may show the same nervous reactions as guilty suspects who are afraid of being caught (Bond & Fahey, 1987) According to DePaulo, Lindsay et al (2003), truth tellers and liars will only succeed in their social interaction goals if they appear sincere.

Soon afterwards, little would be left of the so-called institutionalist approach, having been agrantly railroaded by the new economics like ways As two B-school staff members put it a few years ago: During the past several decades, many B-schools have quietly adopted an inappropriate, and ultimately self-defeating, model of academic excellence Instead of measuring themselves by how well their faculties understand important drivers of business performance, they measure themselves almost solely by the rigor of their scienti c research Some of the research is excellent, but because so little is grounded in actual business practices, the focus of graduate business education has become less and less relevant to practitioners This scienti c model is predicated on the faulty assumption that business is an academic discipline like chemistry or geology In fact, business is a profession, akin to medicine and the law.

Thus was born the modern system that allows and encourages the churning of mathematically charged nance theories from ivory tower con nes But why, exactly What initial forces contributed to the challenge to and eventual demise of the old descriptive, nonscienti c order And how were things like before the technical apparatchiks took over A crucial watershed-like turning point, and the purported kick-start to the unfettered theoretization of business academics, were the famous 1959 Gordon-Howell and Pierson reports, sponsored, respectively, by the Ford and Carnegie foundations (which, apparently, believed that the professionalization of management education could aid in the war on communism; also, the high prestige of the natural sciences after WWII encouraged the widespread belief in the 1940s and 1950s that science could be applied to managerial and business problems and that scienti c research into these problems should be supported ) They blasted business schools for having.

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