MANET (Mobile Ad-hoc Networks) are distributed or delegated away from a central server, authoritative location of wireless networks that communicate without pre-existing structure. Ad-hoc networks are compromising the many types of attacks and routing. In MANET, the routing plays a vital role in terms of packets interaction and data transmission. Due to decentralized control, the MANET data transmission becomes insecure because of dispersed routing on the mobile ad-hoc nodes. Since the efficient route on MANET only controls the packets and does not simplify the route between the source to the destination, the maintenance of route interaction becomes a crucial process. Maintain effective data transactions over the MANET network, and it is essential to improve the route and locate the attacker. Nevertheless, MANET allows for route interaction against security threads. In this research article, four processing schemes are suggested to preserve the security measures against routing protocols. Especially in node communication, the rushing attacker has a significant impact on packet-based data transmission in MANET. Also, for this research, an Attacker detection automation of the Bees Colony Optimization (ADABCP) method is used, as a result of which the desired result is brought about in the effective attacker detection on the routing process. Moreover, the proposed Hybrid Random Late Detection (HRLD) routing protocol manages the MANET routing and overcomes the MANET congestion communication. The Swift Implicit Response Round Trip Time (SIRT) mechanism is generated by the Route Finding Manipulation (RFM) to enhance the performance. This RFM scheme helps to find the optimal routing in a secured manner. The proposed (SIRT-ADABCP-HRLD) approach was compared to the existing ESCT, ZRDM-LFPM, and ENM-LAC approaches, found to have improved by routing and data transmission. Compared to the conventional method, the method mentioned above achieves a better ratio for the end-to-end delay, communication overhead, packet delivery ratio, network lifetime, and energy consumption.

MANET (Mobile Ad-hoc Networks) are distributed or delegated away from a central server, authoritative location of wireless networks that communicate without pre-existing structure. Ad-hoc networks are compromising the many types of attacks and routing. In MANET, the routing plays a vital role in terms of packets interaction and data transmission. Due to decentralized control, the MANET data transmission becomes insecure because of dispersed routing on the mobile ad-hoc nodes. Since the efficient route on MANET only controls the packets and does not simplify the route between the source to the destination, the maintenance of route interaction becomes a crucial process. Maintain effective data transactions over the MANET network, and it is essential to improve the route and locate the attacker. Nevertheless, MANET allows for route interaction against security threads. In this research article, four processing schemes are suggested to preserve the security measures against routing protocols. Especially in node communication, the rushing attacker has a significant impact on packet-based data transmission in MANET. Also, for this research, an Attacker detection automation of the Bees Colony Optimization (ADABCP) method is used, as a result of which the desired result is brought about in the effective attacker detection on the routing process. Moreover, the proposed Hybrid Random Late Detection (HRLD) routing protocol manages the MANET routing and overcomes the MANET congestion communication. The Swift Implicit Response Round Trip Time (SIRT) mechanism is generated by the Route Finding Manipulation (RFM) to enhance the performance. This RFM scheme helps to find the optimal routing in a secured manner. The proposed (SIRT-ADABCP-HRLD) approach was compared to the existing ESCT, ZRDM-LFPM, and ENM-LAC approaches, found to have improved by routing and data transmission. Compared to the conventional method, the method mentioned above achieves a better ratio for the end-to-end delay, communication overhead, packet delivery ratio, network lifetime, and energy consumption.

In MANET, routing plays a vital role in packet interaction and data transmission. It is always easy to manage the data transmission over the MANET because of uncentralized control on the MANET nodes. Since the efficient route on MANET controls the packets and does not simplify the route between the source and destination. Hence the maintenance of route interaction becomes a crucial process. Methods: It is critical to enhance the route and decrease the attacker to sustain successful data transfers via the MANET Network. MANET, on the other hand, permits route interaction with security threads. The four processing schema are proposed in this study work to retain the security safeguards against Routing Protocols. The Rushing Attacker has significantly influenced MANET packet-based data transfer, particularly node communication. The Attacker Detection Automation of Bee Colony Optimization (ADABCP) Method is proposed in this article. Results: Existing ESCT, ZRDM-LFPM, and ENM-LAC techniques were compared to the suggested outcome. Consequently, routing and data transfer have enhanced the proposed illustration (SIRT-ADABCP-HRLD). Compared to the recommended approach, the end-to-end latency, communication overhead, packet delivery ratio, network lifetime, and energy usage are all improved. Discussion: The performance evaluation results of SIRT–ADABCP-HRLD with existing methods in terms of low End to End Delay (ms) of 49.8361% compared to existing methods ESCT, ENM-LAC, and ZRDM-LFPM. In terms of low Communication Overhead, an 81.4462% decrease compared to existing methods. However, it improves packet delivery by 56.9775%, more than ESCT, ENM-LAC, and ZRDM-LFPM. The energy consumption decreased by 36.31% less value than the existing process.

The system's functional requirements (FR) and non-functional requirements (NFR) are derived from the software requirements specification (SRS). The requirement specification is challenging in classification process of FR and NFR requirements. To overcome these issues, the work contains various significant contributions towards SRS, such as green requirements engineering (GRE), to achieve the natural language processing, requirement specification, extraction, classification, requirement specification, feature selection, and testing the quality attributes improvement of NFRs. In addition to this, the test pad-based quality study to determine accuracy, quality, and condition providence to the classification of non-functional requirements (NFR) is also carried out. The resulted classification accuracy was implemented in the MATLAB R2014; the resulted graphical record shows the efficient non-functional requirements (NFR) classification with green requirements engineering (GRE) framework.