Wireless Network Threat

 

 

 

 

 

 

 

 

 

 

 

 

 

Wireless Network Threat

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Wireless network has been largely adopted in recent times. The ease of connecting and helping build a strong platform within a social and organizational context presents an improved consideration where it is important to transform the level of performance. However, the security of a wireless network has always been a major issue considering that being attacked is high. The type of network also plays a major role in influencing the level of information management. Ad hoc network is a type of wireless network that is highly susceptible to attacks. The ad hoc involves a link between two or more computers connected without a specific access point (Lv et al., 2018). However, the system is highly susceptible to attacks, mainly based on how it is structured. It is crucial to help maintain better processes that improve efficiency and change development.

Computers connected within an ad hoc network do not require any form of authentication, limiting the security of the network and creating a difficult context where crucial information can be shared.  Lack of a router or an access point means that the operational environment within which this connection is set is more likely to be affected by network threats. The protection of access points allows for integrating better processes that create a change strategy and promote quality information management (Pajola et al., 2019). Any individual who wants to attack the system can easily access the network, considering no significant protection. The infringement of all individuals’ privacy within the platform helps maintain a highly transformed system that helps improve efficiency and change strategy.

The gaps in ad hoc networks make it difficult to concentrate on specific factors that help outline a strong structure that improves the efficiency and quality of shared information. Information shared within the network is likely to be stolen by cybercriminals who can access information shared with ease.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

References

Lv, S., Wang, X., Zhao, X., & Zhou, X. (2018, December). Detecting the sybil attack cooperatively in wireless sensor networks. In 2008 International Conference on Computational Intelligence and Security (Vol. 1, pp. 442-446). IEEE.

Pajola, L., Pasa, L., & Conti, M. (2019, May). Threat is in the Air: Machine Learning for Wireless Network Applications. In Proceedings of the ACM Workshop on Wireless Security and Machine Learning (pp. 16-21).