Kainat Ansar's research while affiliated with COMSATS University Islamabad and other places

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Publications (18)

Figure 1 Taxonomy of literature review. Full-size DOI:...
Figure 4 FFD ontology validation through OntoClean. Full-size DOI:...
Comparison with Ontology-Based Systems.
A semantic rule based digital fraud detection
Article
Full-text available
  • Aug 2021
Digital fraud has immensely affected ordinary consumers and the finance industry. Our dependence on internet banking has made digital fraud a substantial problem. Financial institutions across the globe are trying to improve their digital fraud detection and deterrence capabilities. Fraud detection is a reactive process, and it usually incurs a cos...
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Ontology-Based Alert Model for Financial Fraud Detection
Preprint
  • Jan 2019
Financial fraud is an issue which has deep impact on the ordinary consumer as well as the finance industry. Our dependence on internet banking has grown far beyond our imagination and has made this problem more compound. When financial transactions are diverted from regular behavior of their customers then such transactions are considered as suspic...
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A Cloud-Fog Based Environment Using Beam Search Algorithm in Smart Grid: The 21st International Conference on Network-Based Information Systems (NBiS-2018)
Chapter
  • Jan 2019
Smart Grid (SG) monitor, analyze and communicate to provide electricity to consumers. In this paper, a cloud and fog computing environment is integrated with SG for efficient energy management. In this scenario world is divided into six regions having twelve fogs and eighteen clusters. Each cluster has multiple buildings and each building comprises...
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A Hybrid HS-Mean Technique for Efficient Load Balancing in Cloud Computing: Proceedings of the 13th International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA-2018)
Chapter
  • Jan 2019
Cloud computing is concept of distributing computing for sharing, accessing and storing services through the Internet. It provides platform, software and hardware as service to end users. In this paper concept of fog environment is merged with smart grid (SG) for efficient allocation of resources. Major challenge in cloud computing environment is l...
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Cloud Computing Based Resource Allocation by Random Load Balancing Technique: Proceedings of the 13th International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA-2018)
Chapter
  • Jan 2019
In this paper, present Cloud-fog computing platform which provide efficiently their services via the internet by using remote servers to the residential areas. The increasing number of Internet of Things (IoT) devices and applications cause large data traffic on the cloud system which increase the response time and cost. To overcome this situation,...
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Shortest Job First Load Balancing Algorithm for Efficient Resource Management in Cloud: Proceedings of the 13th International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA-2018)
Chapter
  • Jan 2019
Energy is among the most valuable resource in the world that need to be consumed in an optimized manner. For making intelligent decisions in energy consumption Smart Grid (SG) is introduced. One of the key components of SG is communication. Cloud-Fog based environment is the most popular communication architecture nowadays. Keeping the focus on thi...
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Hill Climbing Load Balancing Algorithm on Fog Computing: Proceedings of the 13th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC-2018)
Chapter
Full-text available
  • Jan 2019
Cloud Computing (CC) concept is an emerging field of technology. It provides shared resources through its own Data Centers (DC’s), Virtual Machines (VM’s) and servers. People now shift their data on cloud for permanent storage and online easily approachable. Fog is the extended version of cloud. It gives more features than cloud and it is a tempora...
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Fig. 2 System Model
Fig. 3 TOU Pricing signal
Appliances and Power Ratings Appliance Categories Appliance Name Power...
Detail Description of Symbols
Detail Description of Parameters
Demand Side Management Using Meta-Heuristic Techniques and ToU in Smart Grid
Conference Paper
Full-text available
  • Aug 2018
In this paper, we perform performance evaluation of home energy management system (HEMS) for demand side management (DSM) in smart grid. In this work, smart home is equipped with HEMS, smart meter, and smart appliances for two-way communication between utility and consumer. HEMS performs scheduling of smart appliances based on meta-heuristic techni...
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Shortest Job First Load Balancing Algorithm for Efficient Resource Management in Cloud
Conference Paper
  • Jun 2018
Energy is among the most valuable resource in the world that need to be consumed in an optimized manner. For making intelligent decisions in energy consumption Smart Grid (SG) is introduced. One of the key components of SG is communication. Cloud-Fog based environment is the most popular communication architecture nowadays. Keeping the focus on thi...
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Request full-text
Hill Climbing Load Balancing Algorithm on Fog Computing
Conference Paper
Full-text available
  • Jun 2018
Cloud Computing (CC) concept is an emerging field of technology. It provides shared resources through its own Data Centers (DC's), Virtual Machines (VM's) and servers. People now shift their data on cloud for permanent storage and online easily approachable. Fog is the extended version of cloud. It gives more features than cloud and it is a tempora...
Cite
Download full-text
Cloud Computing Based Resource Allocation by Random Load Balancing Technique
Conference Paper
  • Jun 2018
In this paper, present Cloud-fog computing platform which provide efficiently their services via the internet by using remote servers to the residential areas. The increasing number of Internet of Things (IoT) devices and applications cause large data traffic on the cloud system which increase the response time and cost. To overcome this situation,...
Cite
Request full-text
Cite
Request full-text
A Cloud-Fog Based Environment using Beam Search Algorithm in Smart Grid
Conference Paper
  • Jun 2018
Smart Grid (SG) monitor, analyze and communicate to provide electricity to consumers. In this paper, a cloud and fog computing environment is integrated with SG for efficient energy management. In this scenario world is divided into six regions having twelve fogs and eighteen clusters. Each cluster has multiple buildings and each building comprises...
Cite
Request full-text
Cite
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Cite
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Fig. 3 TOU Pricing signal 
Table 4 Detail Description of Symbols
Table 5 Detail Description of Parameters
Appliances and Power Ratings Appliance Categories Appliance Name Power...
Demand side management using meta-heuristic techniques and ToU in smart grid
Conference Paper
Full-text available
  • Jun 2017
In this paper, we perform performance evaluation of home energy management system (HEMS) for demand side management (DSM) in smart grid. In this work, smart home is equipped with HEMS, smart meter, and smart appliances for two-way communication between utility and consumer. HEMS performs scheduling of smart appliances based on meta-heuristic techni...
Cite
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Citations

... With concerns related to this kind of misrepresentation in various transactions, the reputation of the B Karthika Natarajan karthika.n@vitap.ac.in Chandana Gouri Tekkali gouritekkali.20phd7181@vitap.ac.in 1 VIT-AP University, Amaravati, Andhra Pradesh, India company may decrease, and that reflects on the economic sector. Online transactions that are high-risk and unlawful are always detected by fraud detection systems. ...
Reference: RDQN: ensemble of deep neural network with reinforcement learning in classification based on rough set theory for digital transactional fraud detection
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... Ansar et. al. [13] (Ansar K., 2019) mentioned a meta-heuristic techniques for load balancing in cloud computing. Job scheduling was implemented using K-Mean clustering algorithms based on unsupervised machine learning. ...
Reference: A Survey on Dynamic Load Balancing Techniques in Cloud Computing
View
... Zahid et al. [26] discussed a Hill Climbing technique to manage load on VMs with the aim of reducing the response time, processing time and delay. In the proposed framework four different regions are taken with each region containing a fog with a cluster of buildings. ...
Reference: Techniques for Task Scheduling in Cloud and Fog Environment: A Survey
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... 2 With the virtualization technology, users can execute server, memory, networks, and storage resources in a much appropriate way. 3,4 Due to the innovative expansion of cloud computing, there are several organizations and persons who are permissible to subcontract the substantial data to the cloud as an alternative of constructing and preserving limited data centers. ...
Reference: Dynamic resource allocation in cloud infrastructure using ant lion‐based auto‐regression model
View
... This mapping clearly shows that VM3 is completely utilized but VM2, VM4, and VM1 are under-utilized. So there is a need for a proper task scheduling algorithm that can utilize the resources of all VMs in a load-balanced way [16,17]. ...
Reference: Alts: An Adaptive Load Balanced Task Scheduling Approach for Cloud Computing
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... This method loops until the optimal solution to a problem is discovered. The technique is used with service broker policy to route request traffic [69]. 9. Fuzzy Logic (FL): Utilizing a dynamic load balancing method also considers various metrics such as memory, bandwidth, and disk usage. ...
Reference: A State-of-the-Art Survey and Taxonomy of Classification, Algorithms, and Techniques for Load Balancing in SDN
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... Workload Fog-Cloud Environment [1,2] Genetic Algorithm-SHA-256 Coarse-Grained Homogeneous [3,4] HEFT-PSO-MD5-256 Fine-Grained Homogeneous [5,6] Ant-Colony-CRC-256 Coarse-Grained Homogeneous [7,8] Simulated-Brute-Force-256 Coarse-Grained Heterogeneous [9,10] Genetic Algorithm-DES-256 Coarse-Grained Heterogeneous [11,12] Genetic Algorithm-3DES-256 Coarse-Grained Heterogeneous [13,14] Genetic Algorithm-SHA-256 Coarse-Grained Heterogeneous [15,16] Genetic Algorithm-SHA-256 Coarse-Grained Heterogeneous [17,18] Genetic Algorithm-SHA-256 Coarse-Grained Homogeneous [19,20] Genetic Algorithm-SHA-256 Coarse-Grained Heterogeneous [21,22] LSTM and WMC Coarse-Grained Homogeneous [23,24] WFMS Coarse-Grained Heterogeneous [25][26][27][28][29][30] KNN-DES-256 Coarse-Grained Heterogeneous ...
Reference: A Lightweight Secure Adaptive Approach forInternet-of-Medical-Things Healthcare Applications inEdge-Cloud-Based Networks
View
... The authors in Ansar et al., (2017) and Javaid et al., (2017) implemented and compared different meta-heuristic techniques for load scheduling of House Energy Management System (HEMS). In Ansar et al., (2017), the techniques used are the Enhanced Differential Evolution (EDE), Harmony Search Algorithm (HSA), Bacterial Foraging Algorithm (BFA), and Genetic Algorithm (GA). ...
Reference: DSM for Energy Optimization and Communications Within Smart Grid CPSs: Investigation and Analysis
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