Search

With rapid expansion of computer networks during the past decade, security has become a crucial issue for computer system. Different soft-computing based methods have been proposed in recent years for the development of intrusion detection system. Different neural network structures are analyzed to find the optimal neural network with regards to the number of hidden layers. Misuse detection is the process of attempting to identify instances of network attacks by comparing current activity against the expected actions of an intruder. Most current approaches to misuse detection involve the use of Rule-based expert systems to identify indications of known attacks. These techniques are less successful in identifying attacks which vary from expected patterns. Artificial neural networks provide the potential to identify and classify network activity based on limited, incomplete, and nonlinear data sources. [ABSTRACT FROM AUTHOR]

Elliptic curve cryptosystems are more efficient and secure than the conventional cryptosystems like RSA cryptosystems. We develop a Secret Key in the EKR Modified Montgomery Inversion Algorithm to avoid leaks the value of function f in Almost Montgomery Inversion Algorithm. The attacker can not guess the Secret key (t) to retrieve the valuable information in smart cards and mobile devices. We want to develop the new cryptosystem based on EKR Modified Montgomery Inversion Algorithm to resistance against Simple Power Analysis Attacks in Side- channel Attacks in Elliptic Curve Cryptosystems like RSA Cryptosystems. [ABSTRACT FROM AUTHOR]

Network security technology has become crucial in protecting government and industry computing infrastructure. Modern intrusion detection applications facing complex problems. These applications has to be require reliable, extensible, easy to manage, and have low maintenance cost. In recent years, data mining-based intrusion detection systems (IDSs) have demonstrated high accuracy, good generalization to novel types of intrusion, and robust behavior in a changing environment. Still, significant challenges exist in the design and implementation of production quality IDSs. Instrumenting components such as of data transformations, model deployment, cooperative distributed detection and complex engineering endeavor. [ABSTRACT FROM AUTHOR]

There are so many applications of cryptography in the field of statistics, particularly in game theory. The area of two party strategic games and the expected equilibrium payoffs can be much higher when a trusted third party assists the players to choose their moves than each player has to choose his move on his own. The role of trusted third party needed to get good payoff. In this paper we propose a beautiful protocol by using extended Elatrash Scheme to remove the mediator (trusted third party) in two player strategic games. [ABSTRACT FROM AUTHOR]