Step 1: Use independent increments of Poisson process.
For a Poisson process,
\[
N(8)=N(5)+\bigl(N(8)-N(5)\bigr)
\]
Let
\[
M=N(8)-N(5)
\]
Then \(M\) is independent of \(N(5)\).
Also, since the rate is \(\lambda=1\),
\[
N(5)\sim Poisson(5)
\]
and
\[
M\sim Poisson(3)
\]
Step 2: Expand the required expectation.
\[
E[N(8)N(5)]
=
E\left[\left(N(5)+M\right)N(5)\right]
\]
\[
=
E[N(5)^2]+E[MN(5)]
\]
Since \(M\) and \(N(5)\) are independent,
\[
E[MN(5)]
=
E[M]\cdot E[N(5)]
\]
Step 3: Compute the terms separately.
For \(N(5)\sim Poisson(5)\),
\[
E[N(5)]=5
\]
and
\[
Var(N(5))=5
\]
Therefore,
\[
E[N(5)^2]
=
Var(N(5))+\{E[N(5)]\}^2
\]
\[
=
5+25
\]
\[
=
30
\]
Also,
\[
E[M]=3
\]
Hence,
\[
E[MN(5)]
=
3\times 5
=
15
\]
Step 4: Final calculation.
\[
E[N(8)N(5)]
=
30+15
=
45
\]
Step 5: Final conclusion.
Hence,
\[
\boxed{45}
\]