A survey of cloud-based network intrusion detection analysis

Keegan, Nathan; Ji, Soo-Yeon; Chaudhary, Aastha; Concolato, Claude E.; Yu, Byunggu; Jeong, Dong Hyun

doi:10.1186/s13673-016-0076-z

Cited by 82 publications

(38 citation statements)

References 54 publications

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“…Instead, it converts the ciphertexts encrypted with user A's public key into ciphertexts encrypted with that of user B. In this case, user A creates the re-encryption key and sends it to the proxy (2005) (Ateniese et al 2006;Blaze et al 1998;Hui and Sherratt 2017;Ivan and Dodis 2003;Keegan et al 2016;Maity and Park 2016).…”

Section: Proxy Re-encryptionmentioning

confidence: 99%

IoT device security based on proxy re-encryption

Kim

Lee

2017

J Ambient Intell Human Comput

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It appears that interest in the Internet of things (IoT) has recently reached its peak, with a great deal of focus from both the private and public sectors. IoT, a technology that enables the exchange of data through linkage among all objects surrounding the user, can create new services. Data communication among objects is not limited to personal information, but can also deliver different data types, such as sensing information collected from the surrounding environment. When such data is collected and used maliciously by an attacker, it is more vulnerable to threats than in conventional network environments. Security of all data transmitted in the IoT environment is therefore essential for preventing attacks. However, it is difficult to apply the conventional cipher algorithm to lightweight devices. Therefore, we propose a method for sharing and managing data using the conventional cipher algorithm on lightweight devices in various circumstances. This method implements proxy re-encryption in order to manage data with fewer encryptions, and provides a data sharing function to supplement the insufficient capacity of lightweight device networks.

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Section: Proxy Re-encryptionmentioning

confidence: 99%

IoT device security based on proxy re-encryption

Kim

Lee

2017

J Ambient Intell Human Comput

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“…This technology focus on the public IPv4 address, so that the number of subject IP is 3.702 billion which is excluding private and reserved IPv4 address spaces. The server was set up in the cloud environment to operate the collection system and measure the performance of processing traffic (Keegan et al 2016). Cloud server was used to deploy this collection system.…”

Section: Performance Of Collecting Device Informationmentioning

confidence: 99%

Management platform of threats information in IoT environment

Kim

2017

J Ambient Intell Human Comput

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“…Between 2010 and 2015, around 80,000 vulnerabilities were newly registered in the major database known as the CVE (Common Vulnerability Enumeration) [1]. In recent years, the scope of security threats has also been expanded; i.e., IoT [2], Cloud [3], etc. The number of zero-day vulnerabilities has soared to the point that specialists can no longer be relied upon to respond to vulnerabilities.…”

Section: Introductionmentioning

confidence: 99%

An Automated Vulnerability Detection and Remediation Method for Software Security

Jurn¹,

Kim²,

Kim³

2018

Sustainability

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Abstract:As hacking techniques become more sophisticated, vulnerabilities have been gradually increasing. Between 2010 and 2015, around 80,000 vulnerabilities were newly registered in the CVE (Common Vulnerability Enumeration), and the number of vulnerabilities has continued to rise. While the number of vulnerabilities is increasing rapidly, the response to them relies on manual analysis, resulting in a slow response speed. It is necessary to develop techniques that can detect and patch vulnerabilities automatically. This paper introduces a trend of techniques and tools related to automated vulnerability detection and remediation. We propose an automated vulnerability detection method based on binary complexity analysis to prevent a zero-day attack. We also introduce an automatic patch generation method through PLT/GOT table modification to respond to zero-day vulnerabilities.

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A survey of cloud-based network intrusion detection analysis

Cited by 82 publications

References 54 publications

IoT device security based on proxy re-encryption

IoT device security based on proxy re-encryption

Management platform of threats information in IoT environment

An Automated Vulnerability Detection and Remediation Method for Software Security

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