suraiya husain

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Suayyip Calis

Sakarya University

Tom Baum

University of Strathclyde, Glasgow

Danielle van Jaarsveld

University of British Columbia

Akram AL ARISS

Toulouse Business School

David Seamon

Kansas State University

khairunneezam mohd noor

Universiti Sains Islam Malaysia (USIM)

Telkom University

Stockholm University

Mumbai University

Universitas Sumatera Utara

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Papers by suraiya husain

Analysis of Dos and DDos Attacks

vailability is one of the three main components of computer security, along with confidentiality ... more vailability is one of the three main components of computer security, along with confidentiality and integrity. Denial of service (DoS) and Distributed Denial of Service (DDoS) are threats that exhaust the resources of a system thereby making them unavailable for legitimate users and thus violating the security componentAvailability. Dos and DDoS attack pose an immense threat to entire internet world today mainly because of the ease through which they can be carried out. These attacks can easily exhaust the computing and communication resources of its victim within a short period of time. It has become necessary for researchers and developers to understand the behaviour of these DDoS attacks because It affects the target network with little or no advance warning. This paper presents a classification of DoS/DDoS attacks and analysis of some of the major Dos/DDos attacks. The analysis of these attacks is performed using a traffic analyzer. We further discuss an efficient packet filter...

A Novel Machine Learning Based Analytical Technique for Detection and Diagnosis of Cancer from Medical Data

Inventive Computation and Information Technologies, 2021

Understanding the Blockchain Technology Beyond Bitcoin

Lecture Notes in Mechanical Engineering, 2021

A blockchain is a decentralized distributed public and digital ledger consisting of blocks that r... more A blockchain is a decentralized distributed public and digital ledger consisting of blocks that record transactions across many systems, ensuring security as these blocks cannot be altered retroactively. This technology enables individuals and companies to participate with trust and transparency. A well-known application of blockchain is the cryptographic currencies Bitcoin, an emerging technology like Ethereum and many more applications are possible. Blockchain, with great potential, allows us to create, value, trust, truthfully by clever use of distributed ledger, cryptography, and computation. It emphasizes the potential of a decentralized world, where users of technology can be empowered without being bound by a third-party power broker and many other benefits this technology presents to us. Blockchain technology is the driving force behind the next basic change in information technology. Many uses of blockchain technology are widely available today, each with the potential of a specific application domain. A blockchain is a diary that is almost impossible to forge. Blockchain technology is an interesting and a safe alternative for people, using this does not demand you to have a technical background, it will somehow have a positive effect on citizens. It will prove to be a better financial system and excites us to make blockchain more mainstream. Here, we have provided a brief survey on blockchain technology and how it is establishing itself to make an impact on the future of technology.

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An Artificial Intelligence Based Toll Collection System

Presently everyone is working for automation in every field so, to aid the tedious work AI-based ... more Presently everyone is working for automation in every field so, to aid the tedious work AI-based toll collection uses a radio frequency identification system that works on current issues faced at toll collection system. The everyday user faces stumbling blocks while waiting in the queue at toll gates due to congestion of vehicles and using the traditional manual toll ticketing systems to collect toll from the users. For such a problem AI-based toll collection system is used where all data is electronically transmitted through a platform to the main office in real-time which helps in decreasing manpower so, for all vehicles, sufficient tags are made without requiring to stop at toll gate to save time. The RFID tag was made to replace barcodes in the supply chain as it electronically stores details of the owner's vehicle, the account and the design of the vehicles. As the cards can be reused, they are much more convenient than the ticketing system based on paper.

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A Graph Based Metric To Calculate Significance of Ontological Concepts

Semantic similarity is a special case of semantic relatedness. There are many methods available t... more Semantic similarity is a special case of semantic relatedness. There are many methods available to design semantic similarity measures based on domain ontology. In this paper, a method to assess the significance of concepts in domain ontology is proposed. The significance value shows the worth of the concept, which can have major contribution in integration, knowledge extraction and many other knowledge engineering fields. The study based on concepts significance in ontology, models concepts' usefulness. We introduced a method for measuring semantic relatedness by knowing the density of each concept by calculating its significance value. In addition, our approach considers a very important property of graph to calculate the degree (in-degree & out-degree). The case study is provided to demonstrate the usefulness of our work.

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Understanding the Blockchain Technology Beyond Bitcoin

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Sentiment Analysis of COVID-19 Vaccine Rollout in India

ICT Systems and Sustainability

This paper deals with opinions expressed in Social Media namely Twitter with respect to the ongoi... more This paper deals with opinions expressed in Social Media namely Twitter with respect to the ongoing vaccination program for the novel coronavirus COVID-19. This pandemic has affected almost the entire world because of lockdown and its related impact on personal, economical, and emotional levels. During the lockdown, people suffered loneliness and lack of inter-personal interaction therefore resort to taking social media to voice their concerns and emotions. The need for vaccination, its delivery, and trust are some of the topics on which sentiments are expressed on Twitter based on which this research is conducted. This study analyses the sentiments of the people in India towards the emergency use authorization of Covid Vaccine rollout. The tweets are collected, pre-processed to exclude noise and irrelevant data, and then used for sentiment analysis using the Lexicon-based approach and Machine Learning method. The relative outcome of tweets analyzed via all these methods is consistent in each type of sentiment. It is observed that sentiments of most of the tweets came out to be either affirmative or neutral.

Twitter Sentiment Analysis Using Convolutional Neural Network

SSRN Electronic Journal

Opinion examination via online media stages, for example, Twitter, Facebook, YouTube, E-commerce ... more Opinion examination via online media stages, for example, Twitter, Facebook, YouTube, E-commerce sites like Amazon, Flipkart and so on has become a vital and testing task. We can discover the supposition about an item or a film or an assessment utilizing conclusion examination, rather than perusing every one of the audits. The presence of tweet length, spelling mistakes, contractions, and extraordinary characters – The opinion investigation task requires a non-customary methodology. Evaluate this feeling with a good or negative value, called extremity. The general feeling is frequently gathered as good, nonpartisan or negative from the indication of the extremity. In opinion examination the extremity of a sentence decides the feeling of a sentence. Assessment of a sentence can be ordered into three classes - positive, negative and unbiased. Most current online media slant order strategies judge the conclusion extremity essentially as per printed substance and disregard other data on these stages. Profound learning has arisen as a solid AI methods that learns various layers of highlights of the information and produces cutting edge expectations results. In opinion investigation, most normally utilized profound learning strategies are convolutional neural organizations (CNN) and intermittent neural organizations (RNN). CNN highlights a convolutional layer to remove data by a greater piece of text. The outcome shows that it accomplishes better exactness in Twitter feeling grouping than some of the typical strategies like SVM and Naive Bayes techniques. Supposition investigation (or assessment mining) might be a tongue preparing strategy wont to decide if information is positive, negative or neutral.

A Motion Detection System in Python and Opencv

2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), 2021

This paper suggests a motion detection software system that enables us to see the movement around... more This paper suggests a motion detection software system that enables us to see the movement around an object or a visual area. Motion detection software is widely preferred as one of the most important security features in recent days. It is used to enhance existing security devices such as motion sensor lighting on indoor and outdoor security cameras. Security cameras are one of the most common devices that use motion detection technology [1]. Now, for better protection, motion detector cameras are preferred. The paper suggested here looks at one of the python motion detection software and detects the movement of objects in front of the camera and determines the time they stay close to the camera.

A PNN based Malign Attack Detection and Classification Model

For manipulation of communication, a Command and Control (C2) server is used by various attackers... more For manipulation of communication, a Command and Control (C2) server is used by various attackers. Further, a domain generation algorithm is employed by threat actors for performing an attack as it enables the communication of malware with C2 by generation of various network locations. The existing method of malware control for instant blacklisting is not much efficient in handling the DGA threats. In this paper, considered to be as optimization enhancement and an evaluation study among normal classifier with the 3 level-discrete traveler transformation PCA. Gray Co-matrix characteristics in malware determine, proposing the novel method with 3level-discrete wavelet transformation-PCA. Gray Co-matrix characteristics in malware determine. Even if the determined malware is malign or not is categorize by using ANN (In ANN, the probabilistic neural network [PNN] is used). The malign type (either it belongs to Spoofing or Spamming or Denial of service) is also categorized along with the URL.

An ontology-based semantic similarity metric to empower semantic search

International Journal of Engineering & Technology

Heterogeneity in documents is a challenge for information Retrieval. The keyword search focuses o... more Heterogeneity in documents is a challenge for information Retrieval. The keyword search focuses on matching the keywords with web repositories. It does not consider the synonyms or semantically similar words. The heterogeneity of the content makes retrieval inadequate. Semantic search helps to capture more appropriate results using domain ontology. Keyword search is extended with the help of similar concepts of ontology. Similarity between the ontological concepts is recognized to get appropriate search results. Once the semantic similarity among the concepts is known, more relevant documents can be retrieved. In this paper, we propose a metric based on traditional methods, combined with computational techniques to measure the similarity between concepts. The paper gives the concept of DOT (Domain Ontology Tree). It uses conventional definitions of the Tree (Data Structure) for ontology and proposes a method of partitioning to calculate the similarity. The method is based on IS-A hi...

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Analysis of Dos and DDos Attacks