RETRACTED ARTICLE: Invariant packet feature with network conditions for efficient low rate attack detection in multimedia networks for improved QoS

Suchithra, M.; Baskar, M.; Ramkumar, J.; Kalyanasundaram, P.; Amutha, B.

doi:10.1007/s12652-020-02056-1

Cited by 92 publications

(5 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In Critical Analysis and Detection of Altered Fingerprints [9,10], the author performs optimization of image quality based algorithm in altered finger print. The method uses neuro fuzzy in the detection of altered finger print and the fuzzy rule has been generated using image database.…”

Section: Related Workmentioning

confidence: 99%

Region Centric Minutiae Propagation Measure Orient Forgery Detection with Finger Print Analysis in Health Care Systems

Baskar

Devi

Ramkumar

et al. 2021

Neural Process Lett

Self Cite

View full text Add to dashboard Cite

The problem of forgery detection has been well studied and the forged finger prints produces highly impacting results in the biometric based security systems. There are many algorithms discussed earlier to detect forged finger prints. However, they suffer to achieve higher performance in terms of security. In this paper, a region centric minutiae propagation measure (RCMPM) based approach. First, the finger print image is read and removes the noisy points by applying the multi level Gabor filters. The Gabor filter has been applied in multiple level which helps to remove the noise from finger print image. The enhanced image is converted into number of integral image. The integral images are generated by splitting the image into number of tiny images according to the size of window. From the integral image produced, the island, dot, enclosure, bifurcation features are extracted. Extracted features are framed as feature vector and used to estimate the RCMPM measure. Based on the RCMPM measure, the presence of forged finger print has been identified and the same has been used to identify the region which has been modified. The accuracy of forged print detection has been improved and reduces the false classification ratio.

show abstract

Section: Related Workmentioning

confidence: 99%

Region Centric Minutiae Propagation Measure Orient Forgery Detection with Finger Print Analysis in Health Care Systems

Baskar

Devi

Ramkumar

et al. 2021

Neural Process Lett

Self Cite

View full text Add to dashboard Cite

show abstract

“…When compared to other techniques mutual authentication scheme achieves higher reliability and the elliptical curve cryptographic technique achieves high accuracy in wireless body area networks. 72 DoS Attacks [36] 82 Vulnerable attacks [26] 84 High and low-rate attacks [27] 89…”

Section: Discussionmentioning

confidence: 99%

“…This technique helps to extract the secret key to avoid the DoS attacks with minimum power consumption and improves the throughput, delivery rate, and goodput. Suchithra et al [27] defines the invariant feature-based approach for high-rate network attacks and also maintains the bandwidth conditions of sensor nodes with cooperative routing. Cooperative communication improves the resource nodes and reduces attacks.…”

Section: Security Techniques In Wbanmentioning

confidence: 99%

“…• Spoofing attacker [57] • Jamming Attack [21] • DoS Attacks [36] • Vulnerable attacks [26] • High and low-rate attacks [27] Figure 7 shows the comparison of attacker detection techniques. Spoofing attacker detection method [57] obtained the 75% of delivery rate after detecting the attacks, Jamming Attack detection method [21] obtained the 72% of the delivery rate, DoS attack detection method obtained 82% of delivery rate, Vulnerable attack detection methods [26] obtained 84% of delivery rate and High and low-rate attack detection method [27] obtained the 89% of delivery rate.…”

Section: Fig 6 Comparison Of Cryptographic Techniquesmentioning

confidence: 99%

“…After summarizing all the above points, this investigation recommends the implementation of body area networks with unmanned aerial vehicles for secure and faster communication. To overcome the limitation of wireless body area networks, the advantage of flying ad hoc networks and flying Jamming Attack [21] DoS Attacks [36] Vulnerable attacks [26] High and low rate attacks [27] Delivery Rate (%) Fig. 7 Comparison of attacker detection techniques Fig.…”

Section: Recommendationmentioning

confidence: 99%

See 2 more Smart Citations

A Perspective Review of Security Challenges in Body Area Networks for Healthcare Applications

Ananthi

Jose

2021

Int J Wireless Inf Networks

View full text Add to dashboard Cite

Body area network (BAN) connects sensors and actuators to the human body in order to collect patient’s information and transmitting it to doctors in a confined space with limited users. wireless body area network (WBAN) is derived from wireless sensor networks (WSN) and enables to transfer of the patient's information with a wide range of communication due to the limitations of the wired body area network. It plays a vital role in healthcare monitoring, healthcare systems, medical field, sports field, and multimedia communication. Sensors and actuators lead to high energy consumption due to their tiny size. WBAN facilitates in securely storing patient information and transmitting it to the doctor without data loss at a specific time. This review examines and summarizes methodological approaches in WBAN relating to security, safety, reliability, and the fastest transmission. Flying body area networks (FBAN) utilizing unmanned aerial vehicles for data transmission are recommended to promote rapid and secure communication in WBAN. FBAN improve the security, scalability, and speed in order to transmit patient’s information to the doctor due to high mobility.

show abstract

Network statistics‐based routing and path orient data encryption scheme for efficient healthcare monitoring with IoT in WSN

Vijayakumar¹

2022

Int J Communication

View full text Add to dashboard Cite

Summary Wireless communication has been adapted for a variety of difficulties as a result of recent developments in sensor networks. The sensors are meant to communicate with network nodes located at a distance and to adapt to various conditions. In addition, Internet of Things (IoT) devices are becoming a part of WSN and are being tailored to various healthcare systems. Nonetheless, the presence of massive nodes and rogue nodes makes transmitting data packets difficult. The procedure, however, confronts a number of obstacles, including data security, continuous monitoring, and routing issues. A variety of ideas are explored to help with the situation, but they all have flaws. A network statistics‐based routing and path orient data encryption system has been developed to address this problem (NSR‐PDE). The strategy focuses on keeping track on patients and providing strong, decisive support systems. The model is created to access data stored on cloud servers and allows for the monitoring of multiple patients in different locations. The model begins by monitoring the whole bodily states of patients in real time using dedicated equipment. Such monitored characteristics are provided over a variety of channels, with route selection based on the patient's class and the type of information being transmitted. The approach calculates the network constraint secure route measure (NCSRM), which is calculated using route information, node behavior, and physical attributes. Similarly, data transmission is protected by path orient data encryption (PDE), which ensures data security according on the route's type and conditions.

show abstract

RETRACTED ARTICLE: Invariant packet feature with network conditions for efficient low rate attack detection in multimedia networks for improved QoS

Cited by 92 publications

References 14 publications

Region Centric Minutiae Propagation Measure Orient Forgery Detection with Finger Print Analysis in Health Care Systems

Region Centric Minutiae Propagation Measure Orient Forgery Detection with Finger Print Analysis in Health Care Systems

A Perspective Review of Security Challenges in Body Area Networks for Healthcare Applications

Network statistics‐based routing and path orient data encryption scheme for efficient healthcare monitoring with IoT in WSN

Contact Info

Product

Resources

About