1.   مشاوره و انجام پروپوزال  و پایان نامه ، مشاوره در زمینه ارائه سمینار، 
       مشاوره و انجام مقاله های بین المللی و داخلی، 
       مشاوره و انجام مقاله در مجله های علمی پژوهشی معتبر، 
        مشاوره و آموزش شبیه سازی شبکه توسط شبیه ساز آکادمیک 2-NS، 
         مشاوره و آموزش شبیه سازهای ترافیک شهری از قبیل  SUMO، ONE، و ...
          کمک به دانشجویان برای پیاده سازی ایده ها و مقالات خود با شبیه سازهای
               NS2 , OMNET++ , ONE
     
    
                 شماره تماس :
                         حسین رنجبران:    09101607834   
                                          
    
                  ساعات تماس: 
                                      ۸ الی ۲۰
                         
                   ایمیل:
                         hossein.ranjbaran.it@gmail.com
                        
           
    

Angle and Context Free Grammar Based Precarious Node Detection and Secure Data Transmission in MANET

شروع موضوع توسط AdMiN ‏25/1/16 در انجمن WSN

وضعیت موضوع:
You must be a logged-in, registered member of this site to view further posts in this thread.
  1. AdMiN

    AdMiN Administrator هیات مدیره

    Abstract

    Growing attractiveness of Mobile Ad Hoc Networks (MANETs), its features, and usage has led to the launching of threats and attacks to bring negative consequences in the society. The typical features of MANETs, especially with dynamic topology and open wireless medium, may leave MANETs vulnerable. Trust management using uncertain reasoning scheme has previously attempted to solve this problem. However, it produces additional overhead while securing the network. Hence, a Location and Trust-based secure communication scheme (L&TS) is proposed to overcome this limitation. Since the design securing requires more than two data algorithms, the cost of the system goes up. Another mechanism proposed in this paper, Angle and Context Free Grammar (ACFG) based precarious node elimination and secure communication in MANETs, intends to secure data transmission and detect precarious nodes in a MANET at a comparatively lower cost. The Elliptic Curve function is used to isolate a malicious node, thereby incorporating secure data transfer. Simulation results show that the dynamic estimation of the metrics improves throughput by 26% in L&TS when compared to the TMUR. ACFG achieves 33% and 51% throughput increase when compared to L&TS and TMUR mechanisms, respectively.​

    لینک دانلود در پست بعد برای اعضاء موجود است.
     
وضعیت موضوع:
You must be a logged-in, registered member of this site to view further posts in this thread.

این صفحه را به اشتراک بگذارید