Crina Grosan

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The process of monitoring the events occurring in a computer system or network and analyzing them for sign of intrusions is known as intrusion detection system (IDS). This paper presents two hybrid approaches for modeling IDS. Decision trees (DT) and support vector machines (SVM) are combined as a hierarchical hybrid intelligent system model (DT–SVM) and an(More)
Swarm behavior can be seen in bird flocks, fish schools, as well as in insects like mosquitoes and midges. Many animal groups such as fish schools and bird flocks clearly display structural order, with the behavior of the organisms so integrated that even though they may change shape and direction, they appear to move as a single coherent entity [11]. The(More)
This paper proposes a new perspective for solving systems of complex nonlinear equations by simply viewing it as a multiobjective optimization problem. Every equation in the system represents an objective function whose goal is to minimize the difference between the right and left term of the corresponding equation. An evolutionary computation technique is(More)
Intrusion detection is the process of monitoring the events occurring in a computer system or network and analyzing them for signs of intrusions, defined as attempts to compromise the confidentiality, integrity, availability, or to bypass the security mechanisms of a computer or network. This paper proposes the development of an Intrusion Detection Program(More)
Due to the wide deployment of sensor networks recently security in sensor networks has become a hot research topic. Popular ways to secure a sensor network are by including cryptographic techniques or by safeguarding sensitive information from unauthorized access/manipulation and by implementing efficient intrusion detection mechanisms. This paper proposes(More)
A Mobile Ad-Hoc Network (MANET) is a selfconfiguring network of mobile nodes connected by wireless links to form an arbitrary topology without the use of existing infrastructure. In this paper, we have studied the effects of various mobility models on the performance of two routing protocols Dynamic Source Routing (DSRReactive Protocol) and(More)
This paper introduces a hybrid metaheuristic, the variable neighborhood particle swarm optimization (VNPSO), consisting of a combination of the variable neighborhood search (VNS) and particle swarm optimization (PSO). The proposed VNPSO method is used for solving the multi-objective flexible job-shop scheduling problems (FJSP). The details of implementation(More)
In a computational grid, at time t, the task is to allocate the user defined jobs efficiently by meeting the deadlines and making use of all the available resources. In the past, objectives were combined and the problem is very often simplified to a single objective problem. In this paper, we formulate a novel Evolutionary Multi-Objective (EMO) approach by(More)