Gotowe bibliografie tematyczne / CBDS (Cooperative Bait detection Scheme)

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  1. Artykuły w czasopismach
  2. Streszczenia konferencji

Gotowa bibliografia na temat „CBDS (Cooperative Bait detection Scheme)”

Autor: Grafiati
Data publikacji: 3 czerwca 2025
Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "CBDS (Cooperative Bait detection Scheme)"

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Olushola O, Akinlemi, and K. Suresh Babu. "Cooperative Bait Detection Scheme (CBDS) To Avoid the Collaborative Attacks of Nodes in MANET." International Journal of Scientific Engineering and Research 3, no. 4 (2015): 66–69. https://doi.org/10.70729/j2013475.

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SULTANA, FARHEEN, and RAKSHANDA KAUKAB. "An Acknowledgement Based Advance for the Recognition of Routing Misconduct in MANETS." International Journal of Scientific Engineering and Technology Research 06, no. 06 (2017): 1178–84. https://doi.org/10.5281/zenodo.802406.

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With the advent of mobile technology, the wireless communication is becoming more popular than ever before. This is due to technological advances in wireless data communication devices. A primary requirement for the establishment of communication between two devices is that intermediate nodes should cooperate with each other. Presence of malevolent nodes may lead to serious security concerns. Preventing and detecting malicious nodes and attacks is a challenge. This Paper attempts to resolve this issue by designing a Cooperative Bait Detection Scheme (CBDS) that has advantages of both proactive
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R. Saranya,, and Dr R. S. Rajesh. "Detection of Black Hole Attack in DSR Routing Protocol by modified cooperative bait detection scheme." International Journal of Research in Advent Technology 7, no. 1 (2019): 475–83. http://dx.doi.org/10.32622/ijrat.71201999.

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Khalaf, Osamah Ibrahim, F. Ajesh, Abdulsattar Abdullah Hamad, Gia Nhu Nguyen, and Dac-Nhuong Le. "Efficient Dual-Cooperative Bait Detection Scheme for Collaborative Attackers on Mobile Ad-Hoc Networks." IEEE Access 8 (2020): 227962–69. http://dx.doi.org/10.1109/access.2020.3045004.

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Mehta, Anuj, and Ravina Saini. "Combating against Byzantine Attacks in MANET using Enhanced Cooperative Bait Detection Scheme (ECBDS)." IOSR Journal of Computer Engineering (IOSR-JCE), September 25, 2015. https://doi.org/10.5281/zenodo.802400.

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Mobile Ad-hoc(MANET) is an accumulation of versatile, decentralized, and self composed nodes. The distributive nature, base less & element structure make it a simple prey to security related dangers. The security dangers may change from dynamic mimic threats to passive eves-dropping. Actualizing Security & alleviating dangers in MANET has Significant difficulties on the grounds that its dynamic properties make it harder to be secured than alternate sorts of static systems. Implementing Security & mitigating threats in MANET has Significant challenges because its dynamic properties
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"A NOVEL APPROACH TO PREVENT COLLABORATIVE BLACK HOLE ATTACKS IN MANETS USING COOPERATIVE BAIT DETECTION SCHEME (CBDS)." International Journal of Advance Engineering and Research Development 3, no. 08 (2016). http://dx.doi.org/10.21090/ijaerd.03086.

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Neha, Mahajan, Bedi Rajeev, and Gupta S.K. "Defending Against Byzantine and Resource Consumption Attacks by Malicious Nodes in MANETs." Advances in Computer Science and Information Technology (ACSIT), June 4, 2017. https://doi.org/10.5281/zenodo.802413.

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A mobile ad hoc network (MANET) is a wireless network that does not depend on any fixed structure (i.e., routing facilities, such as wired networks and access points), and whose mobile nodes must cooperate among themselves to regulate connectivity and routing. Attacks where adversaries have full control of a number of authenticated devices and behave randomly to disrupt the network are stated as Byzantine attacks. While in resource consumption attack, an attacker tries to consume or waste away resources such as bandwidth, computational power, and battery power of other nodes present in the net
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"Security Improved Chicken Swarm Optimization Based A* Routing Algorithm on MANETs." International Journal of Recent Technology and Engineering 8, no. 5 (2020): 3539–45. http://dx.doi.org/10.35940/ijrte.e6379.018520.

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The mobile devices usage has been widespread, which directly impacts the increase of mobile communication, the increased usage of Mobile Ad-hoc networks(MANETs) has brought a rapid growth in the technology development. MANETs can be deployed in any environment conveniently as it comes under the category of ad-hoc networks which is infrastructureless. Due to flexibility of deployment features, it is compatible with other networks like PAN, LAN, etc.,. MANET is applicable in many applications like rescue of emergency disasters, military operations and other special environments where wired syste
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Streszczenia konferencji na temat "CBDS (Cooperative Bait detection Scheme)"

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Chang, Jian-Ming, Po-Chun Tsou, Han-Chieh Chao, and Jiann-Liang Chen. "CBDS: A Cooperative Bait Detection Scheme to prevent malicious node for MANET based on hybrid defense architecture." In Electronic Systems Technology (Wireless VITAE). IEEE, 2011. http://dx.doi.org/10.1109/wirelessvitae.2011.5940839.

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Devasthali, Anita Carolene Sandeep, and Sujata Kadam. "Cooperative bait detection scheme in MANETs." In 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI). IEEE, 2017. http://dx.doi.org/10.1109/icpcsi.2017.8391799.

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Emimajuliet, P., and V. Thirilogasundari. "Defending collaborative attacks in MANETs using Modified Cooperative Bait Detection Scheme." In 2016 International Conference on Information Communication and Embedded Systems (ICICES). IEEE, 2016. http://dx.doi.org/10.1109/icices.2016.7518906.

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Sharma, Renu, and Jitender Grover. "Mitigation of byzantine attack using enhanced cooperative bait detection and prevention scheme (ECBDPS)." In 2015 4th International Conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions). IEEE, 2015. http://dx.doi.org/10.1109/icrito.2015.7359296.

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Umar, Mubarak, Abdulrashid Sabo, and Auwal A. Tata. "Modified Cooperative Bait Detection Scheme for Detecting and Preventing Cooperative Blackhole and Eavesdropping Attacks in MANET." In 2018 International Conference on Networking and Network Applications (NaNA). IEEE, 2018. http://dx.doi.org/10.1109/nana.2018.8648739.

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Dumne, Pradeep R., and Arati Manjaramkar. "Cooperative bait detection scheme to prevent collaborative blackhole or grayhole attacks by malicious nodes in MANETs." In 2016 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO). IEEE, 2016. http://dx.doi.org/10.1109/icrito.2016.7785004.

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