Generalized PVO‐based dynamic block reversible data hiding for secure transmission using firefly algorithm

Abbasi, Rashid; Qureshi, Nawab Muhammad Faseeh; Hassan, Haseeb; Saba, Tanzila; Rehman, Amjad; Luo, Bin

doi:10.1002/ett.3680

Cited by 15 publications

(8 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…All the caching, persisting and processing techniques have a common objective of improving system performance in their respective areas [35]. These techniques use no or less contextual information of user requests and the history of system states.…”

Section: Related Workmentioning

confidence: 99%

Performance optimization of IoT based biological systems using deep learning

Irshad

Khan

Basheer

et al. 2020

Computer Communications

Self Cite

View full text Add to dashboard Cite

Section: Related Workmentioning

confidence: 99%

Performance optimization of IoT based biological systems using deep learning

Irshad

Khan

Basheer

et al. 2020

Computer Communications

Self Cite

View full text Add to dashboard Cite

“…Figure 10 shows the results of comparing the time performance of our algorithm with other algorithms. From the table, we can see that our algorithm has the best time performance [22][23][24].…”

Section: Experimental Results and Analysismentioning

confidence: 94%

Calculation and Function of Composition Proportion in Photography Based on Digital Information Technology

Feng¹

2022

Mobile Information Systems

View full text Add to dashboard Cite

In order to take better pictures, a method of composition proportion in photography based on digital information technology is proposed. Feature extraction is carried out from the captured pictures, and the modular customized design of digital information technology is adopted. The research is carried out in the two fields of image blur and approximate repeated image de redundancy. An improved image blur algorithm based on bag of words (bag of words) kernel function is proposed. The experimental results show that the coarse matching time is the time spent in matching a query image with thousands of images in the database, and the fine matching time is the time spent in matching a query image with eight candidate images with orb. The total query time is about 0.7 seconds, while it takes about 500 seconds to match thousands of images only with orb algorithm. In general, we combine coarse matching and fine matching, which can balance the accuracy and speed well. It is proved that the digital information technology proposed in this paper has a good effect in the calculation and function of composition proportion in photography.

show abstract

“…The authors in [20] discussed the communication model and security requirements of UAVs. They also analysed how GPS spoofing and deauthentication can be performed in the UAV environment [21], [22].…”

Section: Literature Surveymentioning

confidence: 99%

Efficient and Secured Swarm Pattern Multi-UAV Communication

Raja

Anbalagan

Ganapathisubramaniyan

et al. 2021

IEEE Trans. Veh. Technol.

Self Cite

View full text Add to dashboard Cite

Unmanned Aerial Vehicle (UAV) or drone, is an evolving technology in today's market with an enormous number of applications. Mini UAVs are developed in order to compensate the performance constraints imposed by larger UAVs during emergency situations. Multiple mini autonomous UAVs require communication and coordination for ubiquitous coverage and relaying during deployment. Multi-UAV coordination or swarm optimization is required for reliable connectivity among UAVs, due to its high mobility and dynamic topology. In this paper, a Secured UAV (S-UAV) model is proposed which takes the location of the UAVs as inputs to form a Wireless Mesh Network (WMN) among multiple drones with the help of a centralized controller. After WMN formation, efficient communication takes place using A* search, an intelligent algorithm that finds the shortest communication path among UAVs. Further, the S-UAV model utilizes cryptographic techniques such as Advanced Encryption Standard (AES) and Blowfish to overcome the security attacks efficiently. Simulation results show that the S-UAV model offers higher throughput, reduced power consumption and guaranteed message transmission with reduced encryption and decryption time.

show abstract

Generalized PVO‐based dynamic block reversible data hiding for secure transmission using firefly algorithm

Abstract: (2019)Generalized PVObased dynamic block reversible data hiding for secure transmission using firefly algorithm. Transactions on Emerging Telecommunications Technologies.

Cited by 15 publications

References 49 publications

Performance optimization of IoT based biological systems using deep learning

Performance optimization of IoT based biological systems using deep learning

Calculation and Function of Composition Proportion in Photography Based on Digital Information Technology

Efficient and Secured Swarm Pattern Multi-UAV Communication

Contact Info

Product

Resources

About