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One might argue that although it is rather easy to clone an AMPS phone, it is much trickier to clone a D-AMPS, a GSM, or an IS-95 phone However, the security issue remains, and needs to be resolved in the next wireless network generation Consequently, there has been a great deal of interest recently in designing mobile phones using new technologies, such as Boot Block flash technology used by Intel Corporation, that will make it much more difficult to clone cellular phones However, to the best of our knowledge there is very little work being done at the software level To combat cloning, cellular operators analyze usage to check for unusual patterns Most obviously, they know that genuine phone cannot be in two places at once If a phone is making more than one call at a time, it has definitely been cloned.

Furthermore, to verify if a call is out of the client patterns, current software (i) does not have an efficient automatic process to warn clients about the impostors using their mobile phones; in most of these.

The parseOptionLine method takes a string of elements separated by a vertical bar and breaks them up into individual fields that are added to the control array.

Message size (# bytes)

25.2 MOBILITY REQUIREMENTS AND CONSTRAINTS IN AN IP ENVIRONMENT IP Version 4, which is the current, most implemented version of IP, assumes that a node s IP address uniquely identifies the node s point of attachment to the Internet. A node must be located on the network indicated by its IP address in order to receive datagrams destined for it; otherwise, datagrams destined to the node would be undeliverable. If a node changes its point of attachment, in order not to lose its ability to communicate, one of the two following mechanisms must typically be employed: 1. The node must change its IP address whenever it changes its point of attachment. 2. Host-specific routes must be propagated throughout much of the Internet. The first alternative makes it impossible for a node to maintain transport and higherlayer connections when the node changes location. The second does not scale very well.

Compulsive personality disorder, 375. See also Obsessive-compulsive personalities Conceptual equivalence, 400 Conf lict, Red/Green, 431, 433, 438 Conforming personality style, 375, 379 Contrast set, 56 57 Coping: maladaptive mechanisms, 467 468 schemas and, 452 453 strategies, 344 styles and, 452 453 Copy processes, 426 431 Costs, health care, 343 348 Count /cutoff method of diagnosis, 240, 242 Cue validity, 60 Cultural issues. See also International use of psychological tests: assessment of personality and psychopathology, 400 401 borderline personality, 305 307 familial and cultural transmission, 159 memes, 158 personality disorders, 30 31, 305 307 psychological tests, 405 409 Cyclical psychodynamics, 517 518 Defense style, 167, 170 171 Dejected personality style, 379 Dependent personalities, 173 174, 538 beliefs, main, 445 borderline and, 292 defense styles, 171 impairment and variability in reality testing, 170 integrating psychodynamic personality disorder processes, 173 174 motives, 507 NEO-PI-R (composition and diagnostic accuracy), 261 psychodynamic perspective, 173 174 self and object representations, 172 self psychology, 193 194 strategies: main, 445 typical overdeveloped/underdeveloped, 446 styles/disorder counterparts, 375, 379 subtypes, 538 view of self/others, 445 Depressive personalities/styles, 375, 538 Derivative versus integrative theories, 127 128 Developmental achievements, 130 Devitalization (unresponded-to-self ), 189 191 Diagnostic and Statistical Manual (DSM): criticism of classification of personality disorders, 119 120, 536 current major theories and, 123 example of hierarchical diagnosis in DSM-IV-TR (sexual and gender identity disorders), 52 53 language/methodology for studying hierarchical organization of, 50 70 basic-level categories, 60 64, 68 folk taxonomic model, 64 68

which is the probability that a program randomly drawn as a sequence of fair coin ips p1 , p2 , . . . will print out the string x. This probability is universal in many senses. We can consider it as the probability of observing such a string in nature; the implicit belief is that simpler strings are more likely than complicated strings. For example, if we wish to describe the laws of physics, we might consider the simplest string describing the laws as the most likely. This principle, known as Occam s Razor, has been a general principle guiding scienti c research for centuries: If there are many explanations consistent with the observed data, choose the simplest. In our framework, Occam s Razor is equivalent to choosing the shortest program that produces a given string. This probability mass function is called universal because of the following theorem. Theorem 14.6.1 For every computer A, PU (x) cA PA (x) (14.67)

Figure 8-1b IP-PBX-based networking infrastructure to support POTS and VoIP service simultaneously in a location in Europe (e.g., Paris, France) of a multinational corporation.