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The motivations behind 5G networks include seamless handovers, higher data rates, lower latencies of about one millisecond, and enhanced coverage compared to 4G networks. To achieve these goals, network densification has been implemented to cope with increasing capacity demands. Networks with ultra-densification have large numbers of heterogeneous small cell deployments such as femto-cells, relays and microcells which complicate mobility management, resulting in unnecessary, frequent, and ping-pong handovers as UEs move within the network. To address these challenges, state of the art approaches using fuzzy logic, adaptive neuro-networks or their combination have been proposed. However, these approaches majorly address the QoS issues, ignoring the security aspect of handovers. In this paper, a handover protocol that incorporates both security and QoS in the handover process is proposed. The simulation results showed that this protocol reduced handover latency, packet losses, number of executed handovers and ping pong rate by 56.1%, 38.8 %, 74.6% and 24.1% respectively. In addition, the developed protocol yielded a 27.1% increase in the handover success rate, and a 27.3% reduction in handover failure rate. This protocol was also shown to be robust against de-synchronization and session hijacking attacks.

Keywords

5G, Handover Success Rate, Handover Failure Rate, Latency, Packet Loss, Ping Pong, Security.

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A Survey of Data Exfiltration Prevention Techniques

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Authors

Peter S. Nyakomitta ¹, Silvance O. Abeka ²

Affiliations
1 Tom Mboya University College, Homa Bay, KE
2 School of Informatics and Innovative Systems (SIIS), Jaramogi Oginga Odinga University of Science and Technology, Bondo, KE

Source

International Journal of Advanced Networking and Applications, Vol 12, No 3 (2020), Pagination: 4585-4591

Abstract

Data exfiltration is a serious cybercrime facing many organizations worldwide. Over the past few years, notable organizations such as the Google, Yahoo, the Pentagon, Iran nuclear facility and the United States military contractors and banks have fallen victims of data exfiltration. The current techniques for averting these threats revolve around firewalls, intrusion detection systems, intrusion prevention techniques, firewalls, anti-virus an anti-malware. However, despite heavy deployment of these devices, attackers still continue to wreck havoc on organizations and individuals, stealing their sensitive data. The aim of this paper was therefore to explore how the current techniques for data loss prevention fail. The results of this analysis revealed that these techniques either use whitelists, blacklists, signature-based scanning, behavioral analysis of programs which are not sufficient to counter attacks based on zero day vulnerabilities. Based on these shortcomings, a novel data exfiltration prevention algorithm is proposed towards the end of this paper. This algorithm is suggested to employ real-time traffic entropy coupled with heuristically computed functional correlations to detect data exfiltrations. The premises of this algorithm and its operations are discussed at the last section of this paper.

Keywords

Algorithm, anti-virus, anti-malware, Data exfiltration, IDS, IPS.

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