Vulnerability Lab Report

Please refer to the attached excel file for NPV and sensitivity analysis. All assumptions are stated in the excel files.

Both Wireshark and NetWitness Investigator can be used for packet capture and analysis. Which tool is preferred for each task, and why?

Abstract— In the last decades, the different IPs were developed and integrated within single chip. The designers were getting lot of issues to verify the chips due to cumbersome of all modules in the IPs. To overcome from such issues, the new technology has been developed. The designer started to develop each module in IP design file. Once it is verified then all modules were combined in single IP and integrated in the chip. Then designer was uploading all IP in a single chip. So the designer can avoid unexpected outputs from the chip. One important problem in the vlsi design is, designer could not be able to find the board level errors in the simulation analysis. The simulator is installed in the computer so that, computer supports all type

If the user can access the file server using an IP address but not a name, then the most likely reason for failure to connect is a name resolution problem. Name resolution can fail for NetBIOS or DNS host names. If the client operating system is NetBIOS dependent, the VPN clients should be assigned a WINS server address by the VPN server. If the client operating system uses DNS preferentially, VPN clients should be assigned an internal DNS server that can resolve internal network host names.

The remaining results used to obtain the graph in the next section can be obtained by, iteratively substituting the parameters shown in table 3 below for the various architectures and various population sizes. The system parameters given in [16] is shown in table 3.

Vulnerability identification- In this risk analysis step the association recognizes all the particular vulnerabilities that exist in its own human services data frameworks or systems. For the most part, vulnerabilities take the type of imperfections or shortcomings in framework methods or configuration. Programming bundles are accessible to help with distinguishing vulnerabilities, yet the association may likewise need to lead interviews, studies, and so forth. A few associations may utilize outside experts to help them distinguish the vulnerabilities in their information

Conventional CMOS technology comes up with a lot of margins while scaling into a nano-level. So, to overcome this, several substitute technologies have been proposed as a solution. Quantum Dot Cellular Automata (QCA) technology is one such upcoming nano-technology that can be a perfect substitute of Complementary Metal Oxide Semiconductor (CMOS) due to its high speed and low power procedure in the field of nano-science and nano-electronics. Thus, QCA overcomes the drawbacks of CMOS technology and has a substantial relevance in the field quantum computation. In this paper, we give a review result of QCA in terms or hazards using digital multiplexer circuit as the base. Literary survey lacks in hazard free design. Hazards in a system are undesirable effect which creates uncertain outputs and can be avoided. This paper considers hazard in smallest ever 2:1 multiplexer. Static hazard has been looked into for both digital and QCA circuit. For both the circuits, hazard has been eliminated and given a comparative study in terms of delay and better one has been proposed. Design has been verified using simulation from QCA designer tool.

The goal in this work is to generate robust test architecture optimization for 3D stacked ICs considering the maximum available TAM width in case of uncertainty in TAM configuration. So the problem can be formulated as follows:

This is the first two levels of the WBS surrounding the Safebrace project. The project is first split into six different categories on a physical logic track.

1- The overall extent of damage, which is calculated by using the MD value and the number of defective points in the Statpac-2 pattern deviation probability map;

Differing by the way the 1st level branch history information is maintained in BHT, i.e., global (G) or on per-address (P) basis, and the way the 2nd level PHTs are associated with the BHT, i.e., global (g) or on per-address basis (p), Yeh and Patt [18] have presented three variations of the Two-Level Adaptive Branch Prediction schemes. These schemes are identified as GAg, PAg and PAp, embedded A being signifying ‘Adaptive’ and GAp being the Correlating Branch Predictor. Considering the addresses that contains branch instructions partitioned into sets (represented by S in the 1st level and by s in the 2nd level), the Two-Level Adaptive Branch Prediction scheme yiels nine possible variations, as listed below in the Table-1:

I would like to take this opportunity to thank certain people without whom I would not have been able to make this project report.

In general BIST is comprised of two TPGs: LT-RTPG (Low Transition-Random Test Pattern Generator) and 3-Weight WRBIST(Weighted Random Built In Self Test) Minimization of hardware overhead is a major concern of BIST implementation. In test-per-scan BIST, a new test pattern is applied to the inputs of the CUT every m + 1clock cycles, where m is the number of scan elements in the longest scan chain. By using two proposed TPG increasing fault coverage is achieved through the reduction of switching activity, thereby dissipation of power is minimized.

We introduce PROR, a new variant of ROR-type compactors. They are noticeably very fast, and do have a lower quality trade off with vector length. In general, in this paper, we also present tricks that we used to tweak our tool. In the end, we present the results. II. ROR Out of the compaction algorithms, the most useful ones are RORs because unlike omission based sequential compactors, they take less time and unlike some schemes, they do not use a lot of memory space. The algorithm for a typical ROR is as follows. • Drop all vectors • Pick fault with highest detection time

Using their truth tables, it is easy to show that the input-output relations of the basic digital logic function can be expressed as (Enab and Zaki, 1993):