book

Applications of Computational Intelligence in Multi-Disciplinary Research

by Ahmed A. Elngar, Rajdeep Chowdhury, Mohamed Elhoseny, Valentina Emilia Balas

February 2022

Intermediate to advanced

220 pages

10h 19m

English

Academic Press

Read now

Unlock full access

AbstractAbbreviations1.1 Introduction1.2 Related works1.3 Iris localization1.4 Iris normalization1.5 The proposed feature extraction scheme1.6 Matching results1.7 Performance evaluation1.8 ConclusionReferences
Abstract2.1 Introduction2.2 Related work2.3 Proposed methodology2.4 Discussion2.5 Conclusion and future workReferences
Abstract3.1 Introduction3.2 Deep learning strategies for malware detection3.3 Architecture of CNNs for malware detection3.4 Comparative analysis of CNN approaches3.5 Challenges and future research directions3.6 ConclusionReferences
Abstract4.1 Introduction4.2 Optimization techniques4.3 Understanding fog/edge computing4.4 Optimizing fog resources4.5 Case studies4.6 Scope of advancements and future research4.7 ConclusionReferences
Abstract5.1 Introduction5.2 Survey of literature5.3 Plaintext-to-ciphertext conversion process5.4 Conclusion5.5 Future workReferences

AbstractAbbreviations6.1 Introduction6.2 Supervisory control and data acquisition systems6.3 The very small aperture terminal networks6.4 Algorithm for estimating the satellite bandwidth6.5 Challenges and future work6.6 ConclusionsReferences
AbstractNomenclature7.1 Introduction7.2 Background7.3 Modeling the visual sensors7.4 Solving the camera placement problem using artificial intelligence search7.5 Further discussion7.6 ConclusionReferences
Abstract8.1 Introduction8.2 Nanoscience and nanotechnology8.3 Computational nanotechnology8.4 Applications of computational nanotechnology8.5 ConclusionReferences
Abstract9.1 Introduction9.2 Agriculture’s nanofarming: a modern frontier9.3 Synthesis of green nanoparticles and its sources9.4 Good distribution possibilities allowed by nanoparticles: a modern sustainable agriculture portal9.5 Nanofertilizers: a good food supply for crops9.6 Germination, field production, and efficiency enhancement of seed nanomaterials9.7 Plant sensory systems and responses to radical climate change influences nanomaterials9.8 Nanosensors and nanomaterials: perturbation detection and control9.9 Pesticide-based plant safety nanomaterials9.10 Nanotechnology in pesticides and fertilizers9.11 Control of plant pests9.12 Concluding remarksConsent for publicationConflict of interestReferences
Abstract10.1 Introduction10.2 Related work10.3 Design the knowledge-based system10.4 Knowledge base and inference engine of a knowledge-based system10.5 Applications10.6 Conclusion and Future workReferences
Abstract11.1 Introduction11.2 Applications of Internet of Things in healthcare11.3 Implementation methodologies11.4 Implementation models11.5 Challenges in healthcare IoT11.6 Security issues and defense mechanisms and IoT11.7 Covid 19—how IoT rose to the global pandemic11.8 Future of IoT in healthcare11.9 ConclusionReferences

Content preview from Applications of Computational Intelligence in Multi-Disciplinary Research

Chapter 3

Behavioral malware detection and classification using deep learning approaches

T. Poongodi¹, T. Lucia Agnes Beena², D. Sumathi³ and P. Suresh⁴, ¹School of Computing Science and Engineering, Galgotias University, Greater Noida, India, ²Department of Information Technology, St. Josephs College, Tiruchirappalli, India, ³SCOPE, VIT-AP University, Amaravati, India, ⁴School of Mechanical Engineering, Galgotias University, Greater Noida, India

Abstract

Internet of Things (IoT) offers several potential benefits to users with smart devices. The computer system is facing a lot of security challenges in recent days. Generally, IoT devices are more vulnerable to attacks as similar to the computer systems available in the IoT environment. ...