Survey on Security Enhancement at the Design Phase

Pattern classification is a branch of machine learning that focuses on recognition of patterns and regularities in data. In adversarial applications like biometric authentication, spam filtering, network intrusion detection the pattern classification systems are used [6]. In this paper, we have to evaluate the security pattern by classifications based on the files uploaded by the users. We have also proposed the method of spam filtering to prevent the attack of the files from other users. We evaluate our approach for security task of uploading word files and pdf files. DOI: 10.17762/ijritcc2321-8169.150314

Global DDoS Threat Landscape Tracking Network Anomalies using Elliptic Curve Cryptography

Devices, such as in mobile devices or RFID. In brief, ECC based algorithms can be easily comprised into existing protocols to get the same retrograde compatibility and security with lesser resources.: Recent variants of Distributed Denial-of-Service (DDoS) attacks influence the flexibility of application-layer procedures to disguise malicious activities as normal traffic patterns, while concurrently overwhelming the target destination with a large application rate. New countermeasures are necessary, aimed at guaranteeing an early and dependable identification of the compromised network nodes (the botnet). This work familiarizes a formal model for the above-mentioned class of attacks, and we devise an implication algorithm that estimates the botnet hidden in the network, converging to the true solution as time developments. Notably, the analysis is validated over real network traces. An important building block for digital communication is the Public-key cryptography systems. Public-Key cryptography (PKC) systems can be used to provide secure substructures over insecure channels without swapping a secret key. Applying Public-Key cryptography organizations is a challenge for most submission stages when several factors have to be considered in selecting the application platform. The most popular public-key cryptography systems nowadays are RSA and Elliptic Curve Cryptography (ECC). The compensations can be achieved from smaller key sizes including storing, speed and efficient use of power and bandwidth. The use of shorter keys means lower space necessities for key storage and quicker calculation operations. These advantages are essential when public-key cryptography is applied in constrained

Improved Wireless Security through Physical Layer Protocol Manipulation and Radio Frequency Fingerprinting

Wireless networks are particularly vulnerable to spoofing and route poisoning attacks due to the contested transmission medium. Traditional bit-layer defenses including encryption keys and MAC address control lists are vulnerable to extraction and identity spoofing, respectively. This dissertation explores three novel strategies to leverage the wireless physical layer to improve security in low-rate wireless personal area networks. The first, physical layer protocol manipulation, identifies true transceiver design within remote devices through analysis of replies in response to packets transmitted with modified physical layer headers. Results herein demonstrate a methodology that correctly differentiates among six IEEE 802.15.4 transceiver classes with greater than 99% accuracy, regardless of claimed bit-layer identity. The second strategy, radio frequency fingerprinting, accurately identifies the true source of every wireless transmission in a network, even among devices of the same design and manufacturer. Results suggest that even low-cost signal collection receivers can achieve greater than 90% authentication accuracy within a defense system based on radio frequency fingerprinting. The third strategy, based on received signal strength quantification, can be leveraged to rapidly locate suspicious transmission sources and to perform physical security audits of critical networks. Results herein reduce mean absolute percentage error of a widely-utilized distance estimation model 20% by examining signal strength measurements from real-world networks in a military hospital and a civilian hospital