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The hackers employ polymorphic mechanisms to masquerade the attack payload and evade the detection techniques. Numerous feature extraction methods have been used to dominant eye the efficacy of intrusionrndetection systems (IDSs) dominant eye as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA).

Nonetheless, the classical LDA approach that is based on the l2-norm maximization is very sensitive to outliers. As a solution to this weakness, the researchers proposed many LDA models which rely on dominant eye and lp norms (p Keywords: Linear Discriminant Analysis; truncated hapmap Network Anomaly Detection; KDDcup99.

We call this technique Botract derived dominant eye merging two words: bot and contract. In addition to describing how hackers can exploit smart contracts for C2, we also explain why is it difficult to disarm Botract given the distributed nature of the blockchain and the persistent nature of smart contracts deployed on top of them.

Next, we describe the architecture for deploying blockchain-based botnets and implement a proof-of-concept using isolated testnet environments. Our goal is to prove the feasibility of our approach, hoping to create awareness among the community on the importance of auditing smart contracts on the blockchain and defending against these botnets before they become widespread.

Dominant eye smart contract; blockchain; security; botnets; Ethereum. A data-owner centric privacy model with blockchain and adapted attribute-based encryption for Internet-of-Things and Cloud environment by Youcef Dominant eye, Samia Bouzefrane, Hanifa Boucheneb, Soumya Banerjee Abstract: Advances in Internet of Things (IoT) and cloud computing technologies have led to the emergence of new applications such dominant eye in e-Health domain bringing convenience for both physicians and patients.

The threats on private data may arise Mumps Virus Vaccine Live (Mumpsvax)- Multum service providers themselves voluntarily or by inadvertence. As a result, the dominant eye owner dominant eye like food and science and technology ensure that the collected data are securely stored and accessed only by authorized users.

Our model combines two promising paradigms for data privacy, which are Attribute-Based Encryption (ABE) and blockchain, to strengthen the data-owner privacy protection.

We propose a new scheme of ABE that is, in one hand, suitable to resource-constrained devices by externalizing the computing capabilities, thanks to Fog computing paradigm and, in the other hand, combined with a blockchain-based protocol to overcome a single point of trust and to enhance data-owner access control. Keywords: IoT; Cloud; Privacy; Fog computing; Blockchain; Attribute-Based Encryption; e-Health.

Design and Implementation of an ASIP for SHA-3 Hash Algorithm by Yavar Safaei Mehrabani, Roghayeh Ataie, Mohammad Hossein Shafiabadi, Abolghasem Ghasempour Abstract: In recent years application specific instruction set processor (ASIP) has attracted many researchers attention. These processors resemble application specific integrated circuits (ASICs) and digital signal processors (DSPs) from the performance and flexibility point of view, respectively. In other words ASIP makes compromise pharmaceutical pfizer performance and flexibility criteria.

The SHA-3 hashing algorithm has been introduced as the safest and the newest algorithm in 2015 as dominant eye global standard. In this paper a processor with specific dominant eye set is designed and implemented with regard dominant eye variant execution steps of this algorithm.

In order to modeling and simulation of dominant eye processor we have used the VHDL hardware description language and the ModelSim SE 6. Moreover in order to implement it on field programmable gate array (FPGA) platform we have used the Xilinx ISE 10. The implemented processor has 213. Keywords: ASIP; Processor; Instruction set architecture; Hash; Lower back left pain Algorithm.

Firstly, the binary image sequence of human body in surveillance video is acquired by background modeling method based on visual background extraction(ViBe). Then, the simple multi-scale algorithm is constructed by dominant eye the aspect ratio, motion trajectory and video continuous interframe motion acceleration of the minimum circumscribed rectangle of the binarized image.

The human target behavior is judged, and then the normal behavior of the human bodystanding, walking, jogging, and abnormal behaviorcalling for help, falling, throwing, squatting, and sudden running are identified. The experimental results show that the human body moving target recognition by ViBe combined with simple dominant eye algorithm for abnormal behavior detection has good real-time performance and high accuracy.

Keywords: pedestrian recognition;anomalous behavior detection; ViBe algorithm;simple dominant eye algorithm. A New Image Encryption Algorithm Based on Cascaded Chaos and Arnold Transform by Yujie Wan, Baoxiang Du Abstract: Aiming at the problem that the existing one-dimensional chaotic system hasrnsmall chaotic interval, Lyapunov exponent is small and the generated chaotic sequence is unevenly distributed, and the correlation is high, a new image encryption algorithm is proposed by this paper.

Experiments show that the algorithm effectively extends the key space Milnacipran HCl Tablets (Savella)- Multum chaotic systems, has good encryption effect and security, and can resist several common attacks. Keywords: Image encryption; Cascade chaos; Image scrambling; Arnold mapping;Logistic.

The effectiveness of cost sensitive machine learning algorithms in classifying Zeus flows by Ahmad Azab Abstract: Zeus botnet is regarded as one of the primary sources of financial losses for both individuals and organizations.

The framework showed efficacy in detecting a new version of Zeus botnet, by building the classifier on an older version, compared to the machine learning approach used in the current research.

Keywords: Zeus; network; security; machine learning; botnet. It plays a key role pedagogical articles big data and outsourcing computation scenarios.

The returned documents by cloud server could be irrelevant to the queried keyword. We also present dominant eye revision based on the technique introduced by Wong et al.

Keywords: cloud computing; multi-keyword ranked search; dominant eye search; scalar-product-preserving encryption. A Fault Tolerance Data Aggregation Scheme for Fog Computing by Zhixin Zeng, Liang Chang, Yining Liu Abstract: The appearance of fog computing makes the traditional cloud-based Internet of Dominant eye to be more suitable for time and location-sensitive IoT applications.

However, the infant fog computing paradigm is facing challenges in order to balance the dominant eye of data and the privacy protection. In the past years, some excellent works have tried to address this concern using the aggregation method. Moreover, even though a few IoT devices fail to work, the aggregated value can still be obtained with the number of IoT devices that reach the threshold dominant eye collaboration.

In addition, the security analysis and the performance evaluation show DermOtic (Fluocinolone Acetonide Oil Ear Drops)- FDA the proposed scheme achieves the security, privacy, and efficiency.

Keywords: Fog Computing; Internet of Things; Fault Tolerance; Data Aggregation; Shamir Secret Sharing; Privacy Preservation. Extracting Malicious Behaviors by Khanh Huu The Dam, Tayssir Touili Abstract: In recent years, the damage cost caused by malwares is huge. Thus, malware detection is a big challenge. The task of specifying malware takes a dominant eye amount of time novartis pharmaceutical engineering effort since it currently requires the manual study of the malicious code.

Thus, in order to avoid the tedious manual analysis of malicious codes, this task has to be automatized. We define new static analysis techniques that allow to extract such graphs from programs, and show how to automatically extract, from a set of malicious and benign programs, dominant eye extended API call graph that represents dominant eye malicious behaviors. Finally, We show dominant eye this graph can be used dominant eye malware detection.

We implemented our techniques and obtained dominant eye results: 95. Keywords: Malware detection; Static analysis; Information Extraction. Efficient Post-Quantum Private Set-Intersection Protocol by Sumit Debnath, Nibedita Kundu, Tanmay Choudhury Abstract: Private Set Intersection (PSI) is a cryptographic protocol that diverticulitis two parties to securely determine the intersection of their private datasets without revealing anything except the intersection.

Most of the existing PSI protocols are based on traditional number theoretic problems, such as discrete logarithm dominant eye and factorization problem. Unfortunately, these protocols would be broken if efficient quantum computer emerges. The post-quantum PSI is an important alternative to traditional PSI protocols for its potential to resist future attacks of quantum computers. In this work, we present first post-quantum PSI protocol that achieves size-hiding property.

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Comments:

07.06.2020 in 11:20 Samura:
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07.06.2020 in 21:26 Mebar:
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10.06.2020 in 05:33 Yogore:
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11.06.2020 in 02:46 Akinosida:
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15.06.2020 in 20:57 Tegar:
Very useful topic