# A Novel Anomaly Behavior Detection Scheme for Mobile Ad Hoc Networks
## 1 Introduction
One more significant work in the same field was carried out by [PERSON] et al. [3], who proposed a data collection system architecture incorporating different filters to detect outliers. For the verification of outcomes, the Habitat monitoring dataset was, used and the authors assert that the proposed method is efficient for outlier detection; however, the study does not reflect the performance issues of the network. The major contributions of this paper are to design solutions that address the challenges, along with the approaches that are highlighted in the background literature. This paper also integrates the protocol that proposes an improved, data-driven hybrid approach based on widely accepted protocols that are superior in energy efficiency, security, and the optimization of available resources. In addition, security in the wireless link is maintained, with more vulnerabilities tackled compared to a wired link. The proposed technique namely, the data-driven zone-based routing protocol (DD-ZRP) helps in the detection of outliers and energy-efficient cluster head selection for fault-tolerant routing in MANETs placed on data collected at both the network and subgroup levels. The novelty of this work is (1) to develop techniques based on flexible outlier definition for fault-tolerant routing in MANETs, (2) to calculate the in-network outcome to decrease both bandwidth and energy usage, (3) and to make dynamic updates to the data-driven hybrid approach. The findings reveal that the algorithm converges to a precise result, with justified communication load and energy consumption. In MANETs, devices communicate without any pre-existing infrastructure, and these devices are generally mobile. To investigate MANETs, either software-based simulators or experimentation networks are used. The experimentation testbeds are chosen when the implementation involves some features of MANETs to be incorporated as radio propagation or energy consumption, which is fundamentally difficult to model precisely in simulators [4]. The real-world implementation of MANETs requires more effort, involves huge costs, and lacks flexibility; hence, most researchers favor simulators when compared to testbeds [5]. This becomes an impediment when the experimentation network size grows; the software-based simulation then becomes a feasible alternate and is an extensively used solution. Thus, considering the stated pros and cons of each approach, software-based simulations are used to preclude the huge efforts and costs required for real-life implementation. On the other hand, the simulations each time involve certain assumptions about the real world; these may turn out to be too coarse to include all facets that influence the performance of algorithms and protocols, so the simulation results have to be tested in the real-world environment for which they are designed. In the present work, software simulation is used to test the proposed DD-ZRP. The remainder of the paper is arranged as follows: Section 2 covers the background and related work for outlier detection and energy preservation in MANETs; Section 3 discusses the proposed methodology for the detection of outliers and energy preservation in MANETs; Section 4 presents the results and discussion of the proposed approach in various protocols used for routing in MANETs; Section 5 presents the discussion and conclusion.