There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality.

Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …

I and i

다중혈관 관상동맥 환자에서 y-문합을 이용하여 양쪽 내흉동맥만을 사용한 우회술의 조기 성적

[신간의 별자리x] 우리/미술, 그리고 ‘슬픔의 박물관’

Data Mining - Concepts and Techniques.

The term photonic crystals appears because of the analogy between electron waves in crystals and the light waves in artificial periodic dielectric structures. During the recent years the investigation of one-, two-and three-dimensional periodic structures has attracted a widespread attention of the world optics community because of great potentiality of such structures in advanced applied optical fields. The interest in periodic structures has been stimulated by the fast development of semiconductor technology that now allows the fabrication of artificial structures, whose period is comparable with the wavelength of light in the visible and infrared ranges.

http://ieeexplore.ieee.org/iel5/6354/16969/00781867.pdf

Photonic crystals

Security of data has always been a contested issue since the internet became the way of life. The internet and Web 2.0 followed by Web 3.0 have enabled many applications for the use of the citizens. E-government is one of them. Questions have always been raised about the security of data in E-government applications and services. Saudi Arabia is one of the developing countries when it comes to the internet-based services. This paper attempts to review the effectiveness of security policies when dealing with threats and vulnerabilities. We shall study these aspects in the context of Saudi Arabian E-government. E-government, anywhere in the world is a very sensitive area when it comes to ensuring security of the users as well as the corporate data. Breach in security of user data may have catastrophic implications in some cases.

/pdf/a-review-of-effectiveness-of-saudi-e-government-data-58bd5azs08.pdf

A review of effectiveness of Saudi E-government data security management

The eleven papers in this special issue address security and privacy concerns associated with cloud computing. This special issue is dedicated to the identification of techniques that enable security mechanisms to be engineered and implemented in cloud services and cloud systems. A key focus is on the integration of theoretical foundations with practical deployment of security strategies that make cloud systems more secure for both end users and providers – enabling end users to increase the level of trust they have in cloud service providers – and conversely for cloud service providers to provide greater guarantees to end users about the security of their services and data.

/pdf/cloud-security-engineering-theory-practice-and-future-402lkl1ski.pdf

Cloud Security Engineering: Theory, Practice and Future Research

Ransomware attacks are hazardous cyber-attacks that use cryptographic methods to hold victims’ data until the ransom is paid. Zero-day ransomware attacks try to exploit new vulnerabilities and are considered a severe threat to existing security solutions and internet resources. In the case of zero-day attacks, training data is not available before the attack takes place. Therefore, we exploit Zero-shot Learning (ZSL) capabilities that can effectively deal with unseen classes compared to the traditional machine learning techniques. ZSL is a two-stage process comprising of: Attribute Learning (AL) and Inference Stage (IS). In this regard, this work presents a new Deep Contractive Autoencoder based Attribute Learning (DCAE-ZSL) technique as well as an IS method based on Heterogeneous Voting Ensemble (DCAE-ZSL-HVE). In the proposed DCAE-ZSL approach, Contractive Autoencoder (CAE) is employed to extract core features of known and unknown ransomware. The regularization term of CAE helps in penalizing the classifier's sensitivity against the small dissimilarities in the latent space. On the other hand, in case of the IS, four combination rules Global Majority (GM), Local Majority (LM), Cumulative Vote-against based Global Majority (CVAGM), Cumulative Vote-for based Global Majority (CVFGM) are utilized to find the final prediction. It is empirically shown that in comparison to conventional machine learning techniques, models trained on contractive embedding show reasonable performance against zero-day attacks. Furthermore, it is shown that the exploitation of these core features through the proposed voting based ensemble (DCAE-ZSL-HVE) has demonstrated significant improvement in detecting zero-day attacks (recall = 0.95) and reducing False Negative (FN = 6). 

/pdf/zero-day-ransomware-attack-detection-using-deep-contractive-3uj9sger.pdf

Zero-day Ransomware Attack Detection using Deep Contractive Autoencoder and Voting based Ensemble Classifier

Finite element-based rigorous full-vectorial modal solution approach has been developed to calculate the effective index
of the fundamental space filling mode, cutoff condition of the fundamental and the second guided modes to identify the
single mode operation ranges for the photonic crystal fiber. The single mode operation regime for a Terahertz photonic
crystal fiber has also been discussed.

Single mode operation of photonic crystal fiber using a full vectorial finite element method

In the modern health services era, data is accessed by the doctors and nurses using small handheld devices like mobile, Personal Digital Assistants and other electronic handheld devices. Individual’s health related information is normally stored in a central health repository. This data can be accessed by authorized doctors. Data is prone to be exposed to a number of mobile attacks while being accessed. Potential attacks like man-in-the-middle attacks can be seen while accessing the information from the central health repositories using handheld devices. This paper proposes an architecture using XACML (eXtensible Access Control Markup Language) policy to control the privacy and data access of health service data accessed through handheld devices.

Muttukrishnan Rajarajan

Papers

A review of effectiveness of Saudi E-government data security management

Cloud Security Engineering: Theory, Practice and Future Research

Zero-day Ransomware Attack Detection using Deep Contractive Autoencoder and Voting based Ensemble Classifier

Single mode operation of photonic crystal fiber using a full vectorial finite element method

Healthcare Data Access Control Using XACML for Handheld Devices