Security Scheme Enhancement for Voice over Wireless Networks

Hazzaa, Firas; Shabut, Antesar M.; Ali, Nada Hussein M.; Cirstea, Marcian

doi:10.1016/j.jisa.2021.102798

Cited by 7 publications

(5 citation statements)

References 28 publications

(18 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With the help of this method, the registers used to store the output of the Sub Byte are eliminated, and the function call to the shift row method is also eliminated. With the removal of those registers, the amount of time required for storing and retrieving the data in those registers is saved [18][19][20].…”

Section: Proposed Methodsmentioning

confidence: 99%

AES Algorithm using Dynamic Shift Rows, Sub Bytes and Mix Column Operations for Systems Security wih Optimal Delay

Gavaskar

Ragupathy

Ravivarma

et al. 2022

Preprint

View full text Add to dashboard Cite

In the digital world, all the transmitted data is vulnerable and prone to attack. To reduce the vulnerability, security is needed for the data. The security of the data can be enhanced by implementing cryptographic techniques. Thus, the sender and the receiver can only view the data by implementing cryptography, whereas a third party cannot intervene. Cryptographic algorithms are used in the IoT, online banking, Web servers, etc. The Advanced Encryption Standard (AES) is symmetric-key cryptography; it has the same key for both the encryption and decryption process. Each step in the AES algorithm is modified by using the key generated for each round, so each step of the AES is made key-dependent. This gives the dynamic AES algorithm. However, the delay and area are comparatively higher than the traditional method. Thus, the proposed method involves combining two steps, the sub-byte transformation and shifting rows. By doing this, the registers used to store the sub-byte data are removed. Thus, eliminating registers leads to less area consumption. Simulation is done using Verilog HDL in ModelSim and the synthesis is done in Xilinx Design Suite.

show abstract

Section: Proposed Methodsmentioning

confidence: 99%

AES Algorithm using Dynamic Shift Rows, Sub Bytes and Mix Column Operations for Systems Security wih Optimal Delay

Gavaskar

Ragupathy

Ravivarma

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…We can see that for the Internet of Things and physical layer security, there are still few research topics on data transmission, and the total proportion is only 4.83%. Firas Hazzaa [7] proposes a lightweight and low-energy encryption algorithm to protect voice traffic on wireless networks. The algorithm meets the requirements of voice traffic and is suitable for wireless devices.…”

Section: Introductionmentioning

confidence: 99%

Secure transmission of wireless energy-carrying communication systems for the Internet of Things

Zhou

Peng

et al. 2023

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

The Internet of Things, as an important part of important data aggregation, forwarding and control, is often subject to risks such as eavesdropping or data loss due to the huge amount of received data. Based on this, this paper introduces the GA-LM-BP algorithm, BP network, and LM-BP algorithm deep learning to optimize the data received by the Internet of Things, and selects the most suitable communication mode optimization algorithm. The experimental results show that the accuracy error of GA-LM-BP, BP and LM-BP algorithms shows a downward trend, from 0.029 to 0.011; the training time is reduced by 208 mins, and the training speed is increased to 74%, indicating that GA-LM-BP deep learning Excellent performance in the security and confidentiality of data transmission in the Internet of Things. In addition, we further analyzed GA-LM-BP from COP, SOP and STP to verify its reliability and safety.

show abstract

“…System security is another problem. There are many network devices in the Internet of Things, but there are no corresponding measures to manage each device in the Internet of Things [13,14]. Once these network devices are exposed, they are more likely to be discovered by attackers.…”

Section: Introductionmentioning

confidence: 99%

Research on network security management monitoring platform based on Internet of things technology

Yang

Cheng

Yang

et al. 2023

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

With the rapid development of the times, my country has made good innovation and progress in the Internet of Things technology, which has brought a lot of technical guarantees for computer network security. In the process of computer network security analysis and research, it is necessary to introduce the Internet of Things technology. In this paper, the CNN-GRU-PSO network is used to optimize the information classification control. Compared with the traditional model method, the CNN-GRU-PSO model method improves the accuracy rate from the original 86.4% to the original 95.5%. Nearly 10%; the precision rate increased from 84.3% to the original 91.2%, and the accuracy rate increased to nearly 7%; the recall rate was increased from 86.4% to the original 93.5%, and the accuracy rate increased to nearly 9%. The CNNGRU-PSO model optimizes network security management and formulates strict prevention mechanisms to ensure that computer networks can operate efficiently and safely.

show abstract

Security Scheme Enhancement for Voice over Wireless Networks

Cited by 7 publications

References 28 publications

AES Algorithm using Dynamic Shift Rows, Sub Bytes and Mix Column Operations for Systems Security wih Optimal Delay

AES Algorithm using Dynamic Shift Rows, Sub Bytes and Mix Column Operations for Systems Security wih Optimal Delay

Secure transmission of wireless energy-carrying communication systems for the Internet of Things

Research on network security management monitoring platform based on Internet of things technology

Contact Info

Product

Resources

About