Activate The Device Mi


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Hacking and Securing IOS Applications


Hacking and Securing IOS Applications

Author: Jonathan Zdziarski

language: en

Publisher: "O'Reilly Media, Inc."

Release Date: 2012


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Based on unique and previously undocumented research, this book by noted iOS expert Jonathan Zdziarski shows the numerous weaknesses that exist in typical iPhone and iPad apps. Zdziarski shows finance companies, large institutions and others where the exploitable flaws lie in their code, and in this book he will show you as well, in a clear, direct, and immediately applicable style. More importantly, this book will teach the reader how to write more secure code to make breaching your applications more difficult. Topics cover manipulating the Objective-C runtime, debugger abuse, hijacking network traffic, implementing encryption, geo-encryption, PKI without depending on certificate authorities, how to detect and prevent debugging, infection testing and class validation, jailbreak detection, and much more. Hacking and Securing iOS Applications teaches corporate developers and penetration testers exactly how to break into the latest versions of Apple's iOS operating system, attack applications, and exploit vulnerabilities, so that they can write more secure applications with what they've learned. With the App Store reaching over a half-million applications, tools that work with personal or confidential data are becoming increasingly popular. Developers will greatly benefit from Jonathan's book by learning about all of the weaknesses of iOS and the Objective-C environment. Whether you're developing credit card payment processing applications, banking applications, or any other kind of software that works with confidential data, Hacking and Securing iOS Applications is a must-read for those who take secure programming seriously

Pfenninger and Fowler's Procedures for Primary Care E-Book


Pfenninger and Fowler's Procedures for Primary Care E-Book

Author: John L. Pfenninger

language: en

Publisher: Elsevier Health Sciences

Release Date: 2010-09-23


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Pfenninger and Fowler’s Procedures for Primary Care, 3rd Edition is a comprehensive, "how-to" resource offering step-by-step strategies for nearly every medical procedure that can be performed in an office, hospital, or emergency care facility by primary care clinicians. . Designed for everyday practice, the outline format allows speedy reference while the detailed text and clear illustrations guide you through each procedure. The new edition of this best-selling book features full-color illustrations and easy access to the complete contents and illustrations, patient forms, and more online at www.expertconsult.com. Understand how to proceed, step by step, thanks to detailed text and illustrations. Locate critical information at a glance with numerous boxes and tables. Use the book for years with minimal wear and tear thanks to its sturdy cover. Patient education handouts to educate, save time, and reduce liability Coding guidelines included This best selling text now includes full color photos and new sections on Aesthetic and Hospitalist Procedures in addition to an update of all the previous procedures discussed in prior editions! Access the complete contents and illustrations online, download patient education handouts and consent forms, view lists of device manufacturers, and more at www.expertconsult.com. Offer your patients a variety of cosmetic procedures using lasers and pulsed-light devices (including individual chapters on procedures for hair removal, photorejuvenation, , skin tightening and skin resurfacing, and tattoo removal), botulinum toxin, as well as new coverage of cosmeceutical skin care, tissue fillers, and photodynamic therapy. Master new procedures such as maggot treatment for chronic ulcers, endovenous vein closure, stress echo, insertion of the contraceptive capsule (Implanon) and tubal implant (Essure), musculoskeletal ultrasound, no-needle/no-scalpel vasectomy, procedures to treat acute headaches, and more. Don’t worry! All the more basic office procedures are still included...with improved and updated discussions! Pfenninger and Fowler provide the latest and most comprehensive information on medical procedures that allow primary care physicians to more effectively treat their patients.

ADVANCES IN DEEP LEARNING AND COMPUTER VISION


ADVANCES IN DEEP LEARNING AND COMPUTER VISION

Author: Dr. Jagadeesh Kumar

language: en

Publisher: Xoffencerpublication

Release Date: 2024-12-18


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Computer Vision (CV) can be defined as “the hypothesis and innovation for building artificial frameworks that acquire data from pictures or multi-dimensional information.” A more straightforward clarification is that computer vision endeavors to take care of similar issues you can unravel with your own one of kind eyes. For instance, in case you're driving and you see a kid run into the street, your mind will rapidly translate the kid in the street in front of you, that it's perilous, and that you ought to quickly brake to abstain from hitting the kid. That is one of the issues self-driving vehicle engineers are presently striving to comprehend by the methods of computer vision. The method requires being competent of realizing object recognition, which can be subdivided into three varieties: object classification, identification, and detection. Object Classification is everywhere you have a little recently learned objects that you need to have the option to perceive in a picture. Characterizing a representation photograph as having individual's face in it is a model object classification, arranged that this photograph contains a face in it. Object Identification is the recognition of a specific instance of an object. For example, being able to identify that there are two faces in an image and that one is John and the other is Sarah is an example of object identification. Object Detection is the ability to identify that there’s an object in an image. This is typically used for things like automatic toll roads where you want to know when a new object has entered the frame so you can take a scan the license plate. Connecting this to the self-driving car problem, if you think to how the human brain would solve this problem, it would have to answer the same questions: In order for the situation to be dangerous, we would have to both identify that there is a child (object) in or approaching the road. Identify that the child in the road is something that we should avoid. You would also want to identify other objects, like trash, soccer ball, bike, etc., where you don’t necessarily need evasive action. In other words, Computer Vision is the field of study that seeks to develop techniques to help computers “see” and understand the content of digital images such as photographs and videos. The problem of computer vision appears simple because it is trivially solved by people, even very young children. Nevertheless, it largely remains an unsolved problem based both on the limited understanding of biological vision and because of the complexity of vision perception in a dynamic and nearly infinitely varying physical world.