Atif Ishtiaq's research while affiliated with Iqra National University and other places

... Saba et.al, reviewed Internet of Things (IoT) aims to improve lives by offering intelligent devices and applications, but security risks remain a major concern. Deep learning model-based anomaly-based intrusion detection systems can improve IoT security by identifying patterns and facilitating smooth detection based on anomalies [15] [17]. Challenge 2 Adaptability to Changing Threats: As a result of the ongoing evolution of cyber threats, intrusion detection systems must update and modify their detection techniques. ...

... Early Warning Systems for Public Health Emergencies. Predictive analytics will evolve to create more robust early warning systems for public health emergencies (Khan et al., 2023, Ukoba et al., 2023. By analyzing a combination of clinical, environmental, and social data, these systems can provide timely alerts and recommendations for rapid response. ...

... On the work done on a grid system by (Vokas, Gazis, Katsimardou, & Kaldelis, 2013) is to research on the study of micro inverter technology to discover what the result will bring up if the inverter is placed on each photovoltaic module and to get the output of the two inverter technologies. In the work of (Tahir et al., 2022), distribution and thermal stresses is proposed which occurs in semiconductor devices of micro inverters and likewise, the performance of the micro inverter evaluated on the basis of conduction and switching losses in basic micro inverters. In the work of (Bezerra et al., 2017), the author present the development of a single -phase inverter with high efficiency and high power density to be applied on photovoltaic panel's applications. ...

... In [85], the protocol incorporates the Gray Wolf Optimizer (GWO) algorithm, which mimics the cooperative behavior and social structure of gray wolves in order to optimize the routing process. The GWO algorithm is adapted to meet the specific requirements of mobile nodes in the network. ...

... Challenge 2 Adaptability to Changing Threats: As a result of the ongoing evolution of cyber threats, intrusion detection systems must update and modify their detection techniques. This necessitates quick updates to IDS rules and signatures as well as ongoing monitoring of newly developing threats [18]. ...

... AMONET enhances cluster stability by exploring more proficient search spaces using transverse orientation, resulting in optimized clusters. Other MFO variants, ICMFO and CAMONET, are proposed by different authors in [28,29], respectively. These variants aim to establish efficient clusters to improve communication reliability and stability. ...

... The evolution of such power generating and wireless charging capabilities has shown how energy constrained devices work for a longer period in a more controlled and reliable way. Various Researchers have surveys and proposed energy charging to the sensor nodes deployed in the area [47][48][49][50]. This is a new and unique way to explore more, as it creates an environment in which sensor nodes can share energy between neighbors. ...

... In a sensor network, a limited and irreplaceable battery is the most important constraint for WSN. Sensor nodes can be powered continuously when the energy harvesting technique source is abundant [9]. For efficient performance, the network can optimize the utilization of energy. ...

... The meta-heuristic PSO algorithm is used in conjunction with the least-squares moving (MLS) in [20] [21]. The PSO method is used to set parameters in the MLS method, which significantly affects the accuracy of the fit. ...

... Ahmed et al., proposed a new secure algorithm for VANET in [24]. The proposed approach is more resistant to many types of assaults and thwarts attempts by bad nodes to penetrate the entire network. ...