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Cybercrimes and phishing scams have increased multi-folds over the past few years. Now a days, hackers are coming up with new techniques to hack accounts and gain sensitive information about people and organisations. Social networking site like Twitter is one such tool. And due to its large audience hackers use such sites to reach large number of people. They use such sites to circulate malicious URLs, phishing mails etc. which serve as the entry point into the target system. And with the introduction of Twitter Bots, this work got even easier. Twitter bots can send tweets without any human intervention after a fixed regular interval of time. Also their frequency of tweets is much more than humans and therefore they are frequently used by hackers to spread malicious URLs. And due to large number of active members, these malicious URLs are reaching out to more people, therefore increasing the phishing scams and frauds. So this paper proposes a model which will use different algorithms of machine learning, first to detect twitter bots and then find out which of them is posting malicious URLs. In the proposed model, some features have been suggested which distinguishes a twitter bot account from a benign account. Based on those statistical features, model will be trained. The model will help us to filter out the malicious bots which are harmful for legitimate users.

In this technological world, all our devices require an operating system to enable them to function properly. From digital clocks to laptops as a hardware devices, we require various types of operating systems to manages those resources. With so many devices we also need some privacy, and to do that we need good security hardware; software. But along with hardware, we need to rely on software too. Currently, Windows 10 has over 1 billion users worldwide. On the other hand we have chosen Tails that is a Linux based operating system with 25k active users and increasing day by day. Unlike windows which is centered around productivity, Tails is completely centered around anonymity. In this paper, we explore the security and anonymity issues in both the operating systems and the observations are well explained. The paper also include observations related to compatibility with hardware, installation process and various other features to identify the most suitable system in terms of security parameters.

Dual cover steganography is an evolving technique in the field of covert data transmission. This paper focuses on the concept of using a theoretical single stranded DNA (ssDNA) as a primary cover, which is extracted from an inconspicuous cover image. We have analyzed the security loopholes and performance issues of the existing algorithm and proposed an improved algorithm on the same basis. Performance of both the algorithms are tested against several visual and statistical attacks, and parameterized in terms of both security and capacity. The comparison shows that the proposed improvements provide better overall security.

Voice Recognition is a fascinating field spanning several areas of computer science and mathematics. Reliable speech recognition is a hard problem, requiring a combination of many complex techniques; however modern methods have been able to achieve an impressive degree of accuracy. On the other hand, today, most of the companies or institutes are conducting their examinations online to be a part of this best ever growing world. In this system user can give any available examination at any accessible center as per his/her choice and authority also can condense manpower and process delay overhead. This paper offers one way to conduct online examination for physically challenged people who can use their voice only to register and attend the examination. In addition, in the course of this paper it has been tried to authenticate one registered user and to make the authentication process persistent throughout the examination interlude.

Authentication is a significant issue in system control in computer based communication. Human face recognition is an important branch of biometric verification and has been widely used in many applications, such as video monitor system, human-computer interaction, and door control system and network security. This paper describes a method for Student's Attendance System which will integrate with the face recognition technology using Personal Component Analysis (PCA) algorithm. The system will record the attendance of the students in class room environment automatically and it will provide the facilities to the faculty to access the information of the students easily by maintaining a log for clock-in and clock-out time.

The decision regarding widely acceptable stream cipher for hardware security is one of the challenging assignment. Trivium cipher is ironed out most of the weakness of the other stream ciphers. Beside this, our paper presents the security analysis of Trivium and some modification of cipher which gives better security level. Our primary focus is finding some particular biases of output and reasonable algebraic attack with some guessing approach. More specifically, we show some modifications which can increase its security level without changing its internal structure. For this cipher finally we obtain some new cryptanalytic result and the next part of the paper we study some algebraic analysis of Trivium cipher and we try to show that it is vulnerable to different types of attacks and try to recover the overall internal state of the stream cipher.

Cryptography is a science of encoding a secret message in a manner so that any other person other than the receiver and the sender cannot be able to decode it, whereas the steganography is the science of concealing the information in any other cover media so that an attacker cannot recognize the presence of the secret message inside the cover media. This paper proposes a method using combined technologies of cryptography and steganography by following the concept of genetic engineering based on the DNA. This approach will enhance the message security, which is the main concern in today’s world for message transmission. In this proposed algorithm, a long and strong 256-bit key is used for encryption with a strong new method of encryption, generation of DNA sequence, and a new method to conceal the encrypted DNA sequence to a cover image, which provides better security in the message against the intruders attack.

Secure data communication is the most important and essential issue in the area of message transmission over the networks. Cryptography provides the way of making secure message for confidential message transfer. Cryptography is the process of transforming the sender's message to a secret format called cipher text that only intended receiver will get understand the meaning of the secret message. There are various cryptographic or DNA based encoding algorithms have been proposed in order to make secret message for communication. But all these proposed DNA based encryption algorithms are not secure enough to provide better security as compared with the today's security requirement. In this paper, we have proposed a technique of encryption that will enhance the message security. In this proposed algorithm, a new method of DNA based encryption with a strong key of 256 bit is used. Along with this big size key various other encoding tools are used as key in the encoding process of the message like random series of DNA bases, modified DNA bases coding. Moreover a new method of round key selection is also given in this paper to provide better security in the message. The cipher text contains the extra bit of information as similar with the DNA strands that will provide better and enhanced security against intruder's attack.

Due to massive expansion of network computer systemS it became very difficult to manage those systems. Now a day's many intruders are present who take advantages of these internet facilities and that's why many unauthorized access is done. Intrusion detection system detects intrusion and also detects the malicious attacks and if any suspicious behavior is found it generate an alarm to the administrator and stops the work. In this paper we improve the intrusion detection system and use the Multiagent concept with multilevel intrusion detection system. Here we store the attack types in the database and when any types is matched with this database then it detects the intrusion. By this process no unknown attacks are detected.

Data security is one of the most significant concerned areas of communications and data transmission. The concept of making secure data is to transform a plain message that is understandable by everyone into a human unreadable format or difficult to make out by encoding message using some cryptographic algorithms. Now a day, security is one of the most significant and fundamental issues of data transmission, researchers are working on the evolvement of new cryptographic algorithms. Cryptography is the process of providing security in data while transmitting over public networks by encrypting the original data or message. Data security is concerned with the areas of communication and data transmission. An efficient direction of achieving data security can be termed as DNA based Cryptography. The encryption and decryption process proposed in this paper will use the DNA sequencing string of the DNA strands. We have proposed here how the DNA sequencing can be utilized in cryptographic algorithms and how the message can be made more secure and reliable for transmitting effectively through networks. The algorithm we have proposed here is a new algorithm which has three keys for encrypting the message along with a new method of key generation and key sharing for better security aspects. The cipher text generated by the algorithm is looks similar with the bio-logical structure of the DNA strands. Unnecessary bits are padded with the cipher text in order to make it more complex to the intruders. The encryption algorithm is designed here by using the property of DNA sequencing.

With the recent explosion of new technologies in the field of Cryptography, there comes the need for increasing the Security of the present voting system of India. The use of cryptographic protocols as well as biometrics provides a technical response to the security flaws of the current voting system in India. Voting is an instrument of democracy that provides an official mechanism for people to express their views to the government. And e-Voting is considered as one of the most intensely debated subjects in Information Technology. Thus, the voting system should be much more secure and it should also have the stronger authentication mechanism so as to remove fraud and cheats completely from the voting process. This paper proposes and discusses the design of a secure e-voting system based on cryptographic protocols and biometrics that can replace the traditional voting system of India.