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cipher In this case, every letter of the plaintext might be substituted with a different letter three away from the original letter to obtain the ciphertext Other schemes, such as monoalphabetic substitution, polyalphabetic substitution, homophonic substitution, exist Interested readers could look at [7] for details A transposition cipher (also called permutation cipher) spreads redundancy in plaintext over the ciphertext This is the property of diffusion More precisely, diffusion dissipates the statistical structure of the plaintext over the bulk of the ciphertext As a result, a change in a single bit of plaintext can result in changes to multiple ciphertext bits In other words, the effect of a change in the plaintext is spread to many parts of the ciphertext Classical transposition ciphers obtain the ciphertext from the plaintext by rearranging the order of letters The actual letters used in the ciphertext are not altered from the plaintext A problem with both substitution and transposition ciphers is that they are not strong enough by themselves Therefore, in order to create harder ciphering algorithms, researchers did consider the use of several ciphers in succession However, two substitutions make a more complex substitution Similarly, two transpositions make a more complex transposition On the other hand it was observed that combining both these type of ciphers (substitution followed by a transposition or vice versa) could lead to stronger symmetric key algorithms Such hybrid ciphers are called product ciphers Product ciphers represent advancement over classical symmetric key cryptography and are considered to be the bridge from classical to modern symmetric ciphers The basic idea behind product ciphers is to build a complex cipher by composing several simple operations Each operation by itself offers insuf cient protection while the combined operations offer complementary protection Several modern symmetric ciphers such as data encryption standard (DES) and advanced encryption standard (AES) are product ciphers The current state of the art block cipher is AES The other algorithm that was widely used but whose use is now deprecated is DES DES was adopted in 1977 by what is now the National Institute of Standards and Technology (NIST) Originally, this was developed as the Lucifer cipher by a team from IBM led by Feistel Lucifer used 64 bit data blocks with 128 bit keys This algorithm was then redeveloped as a commercial cipher with input from the National Security Agency (NSA) and others The revised Lucifer cipher was eventually accepted as DES DES encrypts data in block sizes of 64 bits while using a 56 bit key The 56 bit key is expanded to 64 bits using 8 parity bits DES is ef cient to implement in hardware and is relatively slow if implemented in software DES has seen considerable controversy over its security There was speculation that the reason for the short key was to have weak security This could allow NSA to break the key Additionally, the design criteria were also classi ed, strengthening the speculation Subsequent events and public analysis show in fact that the design was appropriate DES had come to be widely used, especially in nancial applications Encryption in DES is done over 16 stages (rounds) with each round being functionally equivalent Each round has eight xed carefully selected substitution mappings and also a permutation function Each round also makes use of a 48 bit subkey These subkeys are generated from the initial 64 bit key The structure of DES corresponds to a Feistel cipher [7] DES has many desirable properties Each bit of the ciphertext depends on all bits of the key and all bits of the plaintext Further, there is no statistical relationship evident between plaintext and ciphertext Altering any single plaintext or key bit alters each ciphertext bit with a 50 percent probability Altering a ciphertext bit results in an unpredictable change to the recovered plaintext This makes attempts by the adversary to home-in by guessing keys impossible However, brute force approaches to break.

In practice, because of edge artifacts, wavelet decomposition is often limited to a certain scale j0 > 0 As a consequence, the (cj ) are de ned only for j > j0 In k practice, if we write the signal f as:

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The logical conclusion of a move toward the fully empowered project organization lies with the development of autonomous teams Sometimes known as skunkworks, after the famous Lockheed Corporation programs, autonomous project teams represent the final acknowledgment by the firm of the priority of project-based work in the company In these organizations, the project manager is given full authority, status, and responsibility to ensure project success Functional departments are either fully linked to the projects or the project teams are accorded an independent resource base with which to accomplish their tasks Again, as in the heavyweight project organization, the focus has shifted from the internal operating efficiency perspective to one that is aimed squarely at problem solving and, in this way, maximizing customer satisfaction in challenging projects The problem with autonomous teams often is, however, that although they are efficient tools in making challenging projects happen, in the long run, they often face difficulties When the focus is exclusively on problem solving, these teams

f (x) =

n wk (2n x k)

then the problem at hand is to nd, for any j > j0 , two positive scalars j and j such 0 1 ) satisfying that, when we replace all (cj ) satisfying cj < 1 (respectively (cj 2k 2k 2k+1

Link-state updates are transmitted through the network via a message that is called a topology control (TC) message TC messages are ooded throughout the network and every node can then recalculate its own routing table using this information The ooding process is accomplished through the MPRs, as shown in Figure 417 In the case of OLSR it is not required for each node to advertise all its neighbors It is adequate to advertise only the nodes that a node has selected as its MPRs OLSR also includes two additional message types: the host and network association (HNA) messages that are used by nodes for advertising connectivity to external networks, that is, networks that are not participating in the OLSR routing protocol, and the multiple interface declaration (MID) messages that are used only by nodes that have multiple interfaces that are participating in the OLSR routing protocol so that other nodes can associate the different interfaces with the same node OLSR has no support for message authentication and is therefore vulnerable to a variety of attacks 451 Secure Extension to OLSR

j j 2 cj 2k+1 < 1) by 0 (respectively 1 ), we obtain the best L -approximation of the original signal f The resulting approximate signal f is hence a WSA function de ned by:

f (x) =

j wk0 (2j0 x k)

Page 199 tend to overlook cost efficiencies and systems development and may become too expensive As a business model the autonomous team may be the right solution only in a very limited number of cases

1 1 Sin Si1 (x)

In the literature [62 64], schemes have been proposed for extending OLSR to make it secure against attacks The main idea they propose is to use digital signatures for authenticating the OLSR routing messages Such authentication may be done on a hop-by-hop basis or on an end-to-end basis Halfslund et al [62] focus on the hop-by-hop approach, in which each node signs OLSR packets as they are transmitted (such packets may contain multiple OLSR messages originated by a variety of nodes) The next hop veri es the authenticity of the message, strips the signature from the previous node, and adds its own signature Therefore, the signature only veri es that the node that forwarded the traf c is the one that signed the message but does not verify the authenticity of the original message Authentication of messages is based on symmetric keys that nodes share and the signature is created using some kind of a hash function such as SHA-1 Rafto et al [63] and Adjih et al [64] discuss schemes for authenticating OLSR messages on end-to-end

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