APPLICATIONS VULNERABILITIES CAUSED BY INCORRECT INPUT DATA
نویسندگان
چکیده
منابع مشابه
Input Validation Vulnerabilities (SQLIA) and Defenses in Web Applications Security
-The internet has evolved into a critical delivery pipeline for institutions to interact with Customers, partners and employees. Peoples use web sites to send and receive Information via Hypertext Markup Language (HTML) messages to web applications reside on web servers. Generally this information, expected as legitimate messages, can be used illegitimately by the unauthorized persons to compro...
متن کاملInterproximal cervical lesions caused by incorrect flossing technique.
UNLABELLED This case report describes an interproximal cervical lesion caused by the incorrect use of dental floss. A 58-year-old man who was asymptomatic, presented with unusual notch-like cervical lesions. After clinical and radiographical examinations, it was concluded that the aetiology of these lesions was an incorrect flossing technique. The treatment plan included extraction of maxillary...
متن کاملGluteal compartment syndrome after prostatectomy caused by incorrect positioning.
Gluteal compartment syndrome is an uncommon and rare disease. Most reasonable causes for the development of this disease are trauma, drug induced coma, Ehlers-Danlos syndrome, sickle cell associated muscle infarction, incorrect positioning during surgical procedures and prolonged pressure in patients with altered consciousness levels. The diagnosis requires a high index of suspicion, especially...
متن کاملAn Experimental Study of Security Vulnerabilities Caused by Errors
This paper presents an experimental study which shows that, for the Intel x86 architecture, single-bit control flow errors in the authentication sections of targeted applications can result in significant security vulnerabilities. The experiment targets two well-known Internet server applications: FTP and SSH (secure shell), injecting single-bit control flow errors into user authentication sect...
متن کاملmodeling loss data by phase-type distribution
بیمه گران همیشه بابت خسارات بیمه نامه های تحت پوشش خود نگران بوده و روش هایی را جستجو می کنند که بتوانند داده های خسارات گذشته را با هدف اتخاذ یک تصمیم بهینه مدل بندی نمایند. در این پژوهش توزیع های فیزتایپ در مدل بندی داده های خسارات معرفی شده که شامل استنباط آماری مربوطه و استفاده از الگوریتم em در برآورد پارامترهای توزیع است. در پایان امکان استفاده از این توزیع در مدل بندی داده های گروه بندی ...
ذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Radio Electronics, Computer Science, Control
سال: 2011
ISSN: 2313-688X,1607-3274
DOI: 10.15588/1607-3274-2011-1-7