Bait a Trap: Introducing Natural Killer Cells to Artificial Immune System for Spyware Detection

Fu, Jun; Yang, Huan; Liang, Yiwen; Tan, Chengyu

doi:10.1007/978-3-642-33757-4_10

Cited by 7 publications

(4 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fu et al [18] coined the idea of utilizing NK Cells to artificial immune systems. In this paper, a host-based IDS based on natural killer cells was designed to detect hidden spyware.…”

Section: Related Workmentioning

confidence: 99%

Enhanced AIS Based Intrusion Detection System Using Natural Killer Cells

Bejoy

Janakiraman

2021

JCSANDM

View full text Add to dashboard Cite

Intrusion detection system is used to monitor the system and network activities to identify anomalies and attacks so that integrity, availability, and confidentiality can be preserved. Here an intrusion detection system based on Artificial Immune System is proposed based on Natural Killer (NK) cells with immunological memory. NK cells are created and each NK cells detection radius is determined using the negative selection algorithm and is trained to detect various attacks. Effective cells with high fairness values are proliferated and distributed to the network using clonal selection algorithm. In this paper, two types of NK cell are used-a Heavyweight NK cell (HWNK) and a number of Lightweight NK cells (LWNK). The incoming data is vectorized and Major Histocompatibility Complex Class I (MHC1) is created. Then based on this MHC1, any of the receptors i.e. Activating Receptor or Inhibiting Receptor is activated. If it is the signature of an attack, Activating Receptor is activated. Activating receptor activation results in either cytokine release or apoptosis. Here cytokine release means an alarm is generated informing the administrator and apoptosis stands for dropping of the packet. If Inhibiting Receptor is activated, it’s a normal packet there is no action taken. The technique proposed yields high accuracy, better detection rate and quick response time.

show abstract

“…Fu et al [18] coined the idea of utilizing NK Cells to artificial immune systems. In this paper, a host-based IDS based on natural killer cells was designed to detect hidden spyware.…”

Section: Related Workmentioning

confidence: 99%

Enhanced AIS Based Intrusion Detection System Using Natural Killer Cells

Bejoy

Janakiraman

2021

JCSANDM

View full text Add to dashboard Cite

show abstract

“…In [114], Bejoy and Janakiraman design a Natural Killer (NK) cell-based network intrusion detection and prevention system inspired by the NK immune cells in the human body. The idea of inspiration of NK cell is firstly introduced in [115] to develop a NK cell-based HIDS for spyware detection.…”

Section: Immune Inspired Intrusion Detectionmentioning

confidence: 99%

Towards a Hybrid Immune Algorithm Based on Danger Theory for Database Security

Said

2020

IEEE Access

View full text Add to dashboard Cite

In Databases, the most prevalent cause of data breaches comes from insiders who misuse their account privileges. Due to the difficulty of discovering such breaches, an adaptive, accurate, and proactive database security strategy is required. Intrusion detection systems are utilized to detect, as fast as possible, user's account privilege misuse when a prevention mechanism has failed to address such breaches. In order to address the foremost deficiencies of intrusion detection systems, artificial immune systems are used to tackle these defects. The dynamic and more complex nature of cybersecurity, as well as the high false positive rate and high false negative percentage in current intrusion detection systems, are examples of such deficiency. In this paper, we propose an adaptable efficient database intrusion detection algorithm based on a combination of the Danger Theory model and the Negative Selection algorithm from artificial immune system mechanisms. Experimental results for the implementation of the proposed algorithm provide a self-learning mechanism for achieving high detection coverage with a low false positive rate by using the signature of previously detected intrusions as detectors for the future detection process. The proposed algorithm can enhance detecting insider threats and eliminate data breaches by protecting confidentiality, ensuring integrity, and maintaining availability. To give an integrated picture, a comprehensive and informative survey for the different research directions that are related to the proposed algorithm is performed.

show abstract

“…Fu et al [30] introduced the idea of using Natural Killer Cells to AIS. A HIDS has developed dependent on Natural Killer (NK) Cells that was proposed to recognize disguised spyware.…”

Section: Sobh and Mostafamentioning

confidence: 99%

Artificial Immune System Based Frameworks and Its Application in Cyber Immune System: A Comprehensive Review

Bejoy¹,

Tv²,

Janakiraman³

2020

jcr

View full text Add to dashboard Cite

Computer science has always mixed the concepts of biology and computers to enhance the way in which systems are designed. Artificial Immune System (AIS) is a Computational Intelligence strategy dependent on an organically enlivened computational system that can be utilized for taking care of complex computational issues. It tends to be seen that AIS is an incredibly various locale of research, going from the modeling immune systems to complex algorithms for specific applications. This paper exhibits an exhaustive survey of different frameworks developed in the artificial immune system and its application. Reviews of frameworks in AIS are uncommon and henceforth this paper gives an inside out audit of progressing research and challenges in AIS. We start by presenting AIS and give a thorough survey of different systems in AIS and its application in anomaly detection. We investigate the utilization of AIS in the Intrusion Detection System named the Cyber Immune System(CIS) and compares various AIS works applied to CIS. We conclude with various future extensions in the area of AIS research.

show abstract

Bait a Trap: Introducing Natural Killer Cells to Artificial Immune System for Spyware Detection

Cited by 7 publications

References 16 publications

Enhanced AIS Based Intrusion Detection System Using Natural Killer Cells

Enhanced AIS Based Intrusion Detection System Using Natural Killer Cells

Towards a Hybrid Immune Algorithm Based on Danger Theory for Database Security

Artificial Immune System Based Frameworks and Its Application in Cyber Immune System: A Comprehensive Review

Contact Info

Product

Resources

About