RETRACTED ARTICLE: Improved encryption protocol for secure communication in trusted MANETs against denial of service attacks

Anbarasan, M.; Prakash, S. P. Shiva; Antonidoss, A.; Anand, M.

doi:10.1007/s11042-018-6777-8

Cited by 6 publications

(3 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore to obtain the best path among nodes of origin and destination node, the authors have integrated the firefly optimization algorithm and analyzed the queuing. Anbarasan et al [12] presented a LEACH (Low-Energy Adaptive Clustering Hierarchy) protocol to provide security in the MANET in case of extra resource addition in the network. LEACH protocol group the nodes that consist of CH (Cluster Head) and CM (Cluster Manager) that used to transfer data between the nodes.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Ddos Attack Detection and Prevention using Aodv Routing Mechanism and FFBP Neural Network in a Manet

Batra¹,

Krishna²

2019

IJRTE

View full text Add to dashboard Cite

Security is considered as the most important feature in a Mobile Ad-hoc Network (MANET). There are different types of attacks which may affect the data transmission in MANET but Distributed Denial of Service (DDoS) attack is one of the complex and harsh worthy in a MANET. In the existing work, it has been found that the researchers have utilized Support Vector Machine (SVM) and fuzzy logic as a classification algorithm to identify the DoS attack in MANET. The problem with SVM and Fuzzy logic is that they are more complex and more time consuming mechanism to detect attackers. Also, in the existing work, Optimized Link State Routing (OLSR) routing protocol is used to find route and it is a searching mechanism which does not include the concept of trust routing table and hence the searching mechanism consumes more energy. To solve the mentioned problems, we are presenting a machine learning approach that is Feed Forward Back Propagation Neural Network (FFBPNN) as a classifier and Ad hoc On-Demand Distance Vector(AODV) routing protocol for route discovery to shield the network from Distributed Denial of Service (DDoS) attack. The MANET is trained using FFBPNN. Therefore, when malicious node appears in the network, the node is identified on the basis of the node properties like energy consumption and delay. The route is changed by discarding the malicious nodes from the route and hence the network is protected. The throughputs, PDR have been increased by 60.71%, 53.57% and delay has been reduced by 42.21%.

show abstract

Section: Related Workmentioning

confidence: 99%

“…A. AODV AODV is an on-demand routing protocol or a reactive protocol [12]. It uses the destination sequence number to provide a new loop-free path to the destination.…”

Section: Proposed Approach Using Aodv Routing Mechanism and Ffbpmentioning

confidence: 99%

Ddos Attack Detection and Prevention using Aodv Routing Mechanism and FFBP Neural Network in a Manet

Batra¹,

Krishna²

2019

IJRTE

View full text Add to dashboard Cite

show abstract

“…Data Encryption Technology is another important research direction of image information security, and its representative methods include secure multiparty computing [13], homomorphism encryption [14], and classification algorithm [15]. References [16][17][18][19] prevent the invasion of the third party by controlling the user communication protocol. References [20][21][22][23] propose using pixel replacement or pixel value substitution to encrypt image content.…”

Section: Introductionmentioning

confidence: 99%

Face Image Publication Based on Differential Privacy

Liu

Yang

Zhao

et al. 2021

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

As an information carrier, face images contain abundant sensitive information. Due to its natural weak privacy, direct publishing may divulge privacy. Anonymization Technology and Data Encryption Technology are limited by the background knowledge and attack means of attackers, which cannot completely content the needs of face image privacy protection. Therefore, this paper proposes a face image publishing SWP (sliding window publication) algorithm, which satisfies the differential privacy. Firstly, the SWP translates the image gray matrix into a one-dimensional ordered data stream by using image segmentation technology. The purpose of this step is to transform the image privacy protection problem into the data stream privacy protection problem. Then, the sliding window model is used to model the data flow. By comparing the similarity of data in adjacent sliding windows, the privacy budget is dynamically allocated, and Laplace noise is added. In SWP, the data in the sliding window comes from the image. To present the image features contained in the data more comprehensively and use the privacy budget more reasonably, this paper proposes a fusion similarity measurement EM (exact mechanism) mechanism and a dynamic privacy budget allocation DA (dynamic allocation) mechanism. Also, for further improving the usability of human face images and reducing the impact of noise, a sort-SWP algorithm based on the SWP method is proposed in the paper. Through the analysis, it can be seen that ordered input can further improve the usability of the SWP algorithm, but direct sorting of data will destroy the ε -differential privacy. Therefore, this paper proposes a sorting method-SAS method, which satisfies the ε -differential privacy; SAS obtain an initial sort by using an exponential mechanism firstly. And then an approximate correct sort is obtained by using the Annealing algorithm to optimize the initial sort. Compared with LAP algorithm and SWP algorithm, the average accuracy rate of sort-SWP algorithm in ORL, Yale is increased by 56.63% and 21.55%, the recall rate is increased by 6.85% and 3.32%, and F1-sroce is improved by 55.62% and 16.55%.

show abstract

Secure Routing in MANETS Using Adaptive Cuckoo Search and Entropy Based Signature Authentication

Aluvala

Rajasekhar

2022

Wireless Pers Commun

View full text Add to dashboard Cite

RETRACTED ARTICLE: Improved encryption protocol for secure communication in trusted MANETs against denial of service attacks

Cited by 6 publications

References 21 publications

Ddos Attack Detection and Prevention using Aodv Routing Mechanism and FFBP Neural Network in a Manet

Ddos Attack Detection and Prevention using Aodv Routing Mechanism and FFBP Neural Network in a Manet

Face Image Publication Based on Differential Privacy

Secure Routing in MANETS Using Adaptive Cuckoo Search and Entropy Based Signature Authentication

Contact Info

Product

Resources

About